Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

Dewi Rokhmah; Khaidar Ali; Serius Miliyani Dwi Putri; Khoiron Khoiron

doi:10.12688/f1000research.25525.1

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Research Article

Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

[version 1; peer review: 1 approved, 2 approved with reservations]

Dewi Rokhmah ¹, Khaidar Ali², Serius Miliyani Dwi Putri³, Khoiron Khoiron⁴

PUBLISHED 06 Oct 2020

Author details Author details

¹ Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, East Java, Indonesia
² Graduate Program of Public Health, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Yogyakarta, Central Java, Indonesia
³ Graduate Program of Tropical Medicine, Faculty of Medicine, Airlangga University, Surabaya, East Java, Indonesia
⁴ Department of Environmental Health, Faculty of Public Health, University of Jember, East Java, Indonesia

Dewi Rokhmah
Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing

Khaidar Ali
Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

Serius Miliyani Dwi Putri
Roles: Data Curation, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Validation, Visualization, Writing – Original Draft Preparation

Khoiron Khoiron
Roles: Formal Analysis, Methodology, Project Administration, Validation

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Abstract

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia.
Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated.
Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05).
Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

Keywords

COVID-19, alternative medicine, pandemic, search activity

Corresponding author: Dewi Rokhmah

Competing interests: No competing interests were disclosed.

Grant information: This study was sponsored by Indonesian Endowment Fund for Education (LPDP).

Copyright: © 2020 Rokhmah D et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Rokhmah D, Ali K, Putri SMD and Khoiron K. Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study [version 1; peer review: 1 approved, 2 approved with reservations]. F1000Research 2020, 9:1201 (https://doi.org/10.12688/f1000research.25525.1) First published: 06 Oct 2020, 9:1201 (https://doi.org/10.12688/f1000research.25525.1) Latest published: 25 Feb 2021, 9:1201 (https://doi.org/10.12688/f1000research.25525.2)

Introduction

The COVID-19 pandemic is a massive health crisis worldwide. Within seven months, it has affected 216 countries, and more than 11 million population have been infected by the SARS-COV-2 virus, which causes COVID-19¹. In Indonesia, COVID-19 transmission has been reported in all provinces, with 68,226 confirmed cases recorded by July 8^th 2020². The World Health Organization (WHO) noted that Indonesia is the third country with largest number of cases in South East Asia³. Therefore, appropriate action is urgently needed to halt COVID-19 transmission among the public.

Effenberger et al.⁴ noted that the high virulence of SARS-COV-2 contributes to the super-spread of COVID-19. In addition, the large number of asymptomatic cases catalyze the intensity of the transmission among population. Currently, no vaccine has been developed for COVID-19. The pandemic has triggered a large-scale behavior change among the global population to protect their health⁵. This may include an increase of public interest concerning alternative medicine.

Alternative medicine in Indonesia is called Jamu and is well-known. It is commonly composed by herbal medicines, such as ginger and curcumin, which are extracted and added to water to be drinkable. Both ingredients and other methods of Jamu are accessible and available to the general population of Indonesia. Jamu is commonly used to preserve immunity. Therefore, this study aimed to examine public interest concerning alternative medicines in Indonesia during the COVID-19 pandemic. Time lag scenarios were also investigated.

Methods

This was a quantitative study using secondary data from Indonesia. The data was obtained from Google Trends using Google Relative Search Volume (RSV) and COVID-19 case data. Google RSV presents information on how many terms have been searched at a particular time using the Google search engine, i.e. the data provides information about public interest towards a particular term⁶. A high RSV (maximum 100 points) indicates high public interest; while the lowest (0 points) shows an absence of public interest⁷. In this study, COVID-19 cases were defined as laboratory-confirmed cases positive for SARS-COV-2 virus as reported by the Indonesian Government. The data were retrieved from January 1^st 2019 to June 6^th 2020 weekly (total of 74 weeks; 2019: weeks 1–52, 2020: weeks 53–74).

Data sources

Data for confirmed cases of COVID-19 nationwide were collected from the Indonesian Ministry of Health (MoH), where COVID-19 cases are reported daily (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html).

Google RSV data for Indonesia were collected from Google Trends (www.trends.google.com) with web search as default option⁸. Search terms were divided into three categories with subterms in each of the categories as follows: 1) alternative medicine (‘Jamu’ [alternative medicine]; 2) herbal medicine (‘tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]); and 3) alternative medicine activities (‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The first category ‘Jamu’ was employed to recognize public interest toward alternative medicine during the pandemic in Indonesia; as stated before ‘Jamu’ is traditional alternative medicine in Indonesia used for maintaining and improving immunity. The second category (herbal medicine) was used to understand public interest on the types of medical plants being used. According to Salim and Munadi⁹, the production of ginger and curcumin in Indonesia was the highest compared to other medicinal plants, where the consumption trend during 2011–2015 increased by 21.95% and 5.92%, respectively. Moreover, the Statistics Office of Indonesia recorded that the total harvest of ginger and curcumin on 2018 is the largest in Indonesia¹⁰. Therefore, search terms of ‘jahe’ [ginger] and ‘kunyit’ [curcumin] was selected in the second category. The third category (alternative medicine activities) collected information about public interest toward performing Jamu and planting herbal medicines.

Data analysis

This study followed the methodology of previous studies^7,11. After checking and cleaning the data, there was no missing data noted. The data was stored in Microsoft Excel 2010, and then transferred to STATA v13 (College Station, TX, USA) for analysis. Google RSV data was available weekly, and therefore COVID-19 case data was also analyzed weekly.

The data was not normally distributed, so Spearman rank test was used to examine the correlation between Google RSV and COVID-19 cases. Time lag correlation between Google RSV and COVID-19 was also analyzed, where the procedure referred to Husnayain et al.¹¹ and Torres-Reyne¹². The significance level was set at 0.05.

Results

COVID-19 cases and Google RSV

The pattern of COVID-19 case and Google RSV in Indonesia is visualized in Figure 1. Since the first confirmed COVID-19 case was reported in Indonesia on March 2^nd2020 (week 61 of this study), COVID-19 cases have been increasing in Indonesia. According to the MoH, 30,514 confirmed cases of COVID-19 were reported during 14 weeks (March 2^nd–June 6^th 2020); mean weekly cases were recorded as ~315 cases.

Figure 1. Google Relative Search Volume and COVID-19 new cases in Indonesia.

COVID-19 cases compared with (A) ‘Jamu’ [alternative medicine] search term; (B) herbal medicine search terms (‘tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]); (C) alternative medicine activities search terms (‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], and ‘menanam kunyit’ [planting curcumin]). Letters: A, January 30^th 2020: COVID-19 declared as Public Health Emergency of International Concern; B, March 2^nd 2020: first imported case was reported in Indonesia; C, March 16^th 2020: social distancing declared by Indonesian Government.

RSV of ‘Jamu’ [alternative medicine] from week 1 until week 60 was 40–60 points, with search activity increasing from week 61 (March 1^st-7^th2020). The highest RSV score for this search term was in week 63 with 100 points (Figure 1A). The RSV of ‘tanaman obat’ [herbal medicine], ‘jahe’ [ginger], and ‘kunyit’ [curcumin] before the pandemic (week 1–60) was 19–49 points, with the RSV dramatically increasing from week 61 (42–79 points). The peak for all herbal medicine search terms was found in week 64 (100 points) (Figure 1B).

A similar trend is shown for alternative medicine activities search terms (Figure 1C). Before the pandemic (week 1–60) these terms had an RSV of 0–36 points. In week 61, the RSV increases ~2 fold higher. The term ‘cara membuat jamu’ [how to create jamu] and ‘membuat jamu’ [create jamu] reached their peak on week 63 (100 points) and 64 (100 points), respectively. Meanwhile, the peak for ‘menanam jahe’ [planting ginger] and ‘menanam kunyit’ [planting curcumin] was recorded on week 65 and week 63, respectively, with 100 points. The peak for ‘menanam tanaman obat’ [planting herbal medicines] reached its peak on week 63 (similar to ‘cara membuat jamu’ [how to create jamu]) with the highest score of 48 points.

Statistical analysis

Table 1 displays the correlation between COVID-19 cases and Google RSV in Indonesia. All search term categories (alternative medicine, herbal medicine, and alternative medicine activities) are positively correlated with COVID-19 cases (p<0.05). The terms ‘jahe’ [ginger] (r=0.6376), ‘kunyit’ [curcumin] (r=0.6550) and ‘menanam jahe’ [planting ginger] (r=0.6713) have the strongest correlation towards COVID-19 new cases in Indonesia. Based on a time lag scenario, the correlation between COVID-19 cases and Google RSV showed good performance with weekly data, where all search terms are significant (p<0.05). In the time lag scenario, a strong correlation is also found for the terms ‘jahe’ [ginger], ‘kunyit’ [curcumin], and ‘menanam jahe’ [planting ginger] (r>0.6; p<0.05).

Table 1. Correlation between Google Relative Search Volume and COVID-19 cases in Indonesia.

Search term	Weeks
Search term	lag -3	lag -2	lag -1	lag 0	lag 1	lag 2	lag 3
Alternative medicine
‘Jamu’ [alternative medicine]	0.4351**	0.3858**	0.3917**	0.4028**	0.3165**	0.3113**	0.3032*
Herbal medicine
‘tanaman obat’ [herbal medicine]	0.5231**	0.5474**	0.5648**	0.5643**	0.5839**	0.5408**	0.5330**
‘jahe’ [ginger]	0.6362**	0.6306**	0.6289**	0.6376**	0.5806**	0.5668**	0.5422**
‘kunyit’ [curcumin]	0.6096**	0.6115**	0.6238**	0.6550**	0.5974**	0.5839**	0.5623**
Alternative medicine activities
‘cara membuat jamu’ [how to make jamu]	0.5324**	0.4589**	0.5101**	0.5127**	0.4573**	0.4410**	0.4360**
‘membuat jamu’ [make jamu]	0.5531**	0.5082**	0.5592**	0.4874**	0.4525**	0.4236**	0.4132**
‘menanam tanaman obat’ [planting herbal medicine]	0.5212**	0.5312**	0.5609**	0.5690**	0.5778**	0.5583**	0.5394**
‘menanam jahe’ [planting ginger]	0.5699**	0.5802**	0.6117**	0.6713**	0.6253**	0.6174**	0.6052**
‘menanam kunyit’ [planting curcumin]	0.2830*	0.3019*	0.3146**	0.4187**	0.4076**	0.5019**	0.4790**

*significant (p<0.05); **significant (p<0.01)

Discussion

Since the first COVID-19 confirmed case was reported on March 2^nd 2020 (week 61), there have been a dramatic increases in cases in Indonesia. The mean weekly cases of COVID-19 is ~315 case (Figure 1), and we noted the highest case load reported on week 74 (4741 cases). We also show in our data that COVID-19 cases in Indonesia have increased by ~305% within 14 weeks (30,514 cases; Figure 1). This indicates a super-spread of COVID-19 in Indonesia. The high population and population mobility may take an essential role in intense COVID-19 transmission^13,14.

Alternative medicine is one option for individuals to maintain and increase their immunity during the COVID-19 pandemic. In our study, we found that the search activity of alternative medicine-related terms, including herbal medicine and activities surrounding alternative medicine, was low and steady before the pandemic (weeks 1–60). This was even though a Public Health Emergency of International Concern had been declared by the WHO on January 30^th 2020 (week 56). Interestingly, only after the first COVID-19 confirmed case in Indonesia was announced on week 61 did the search activity dramatically increased. Most of the search terms looked at in this study reached their peak on week 63–64, after which social distancing issue has been established in Indonesia (on March 16^th 2020)¹⁵. The alternative medicine issue also appeared among the public around March 13^th – 16^th (week 63) during the pandemic. In this period, the President of Indonesia claimed that herbs can fight COVID-19, which may have increased public interest toward alternative medicine¹⁶.

In this study, all search terms were associated positively with COVID-19 cases in Indonesia (p<0.05). This indicated that increasing COVID-19 cases elevated the public interest concerning alternative medicine. A similar result was also shown with the time lag scenario, where all search terms were positively associated with COVID-19 cases (p<0.05). This finding shows that there was an increase in search activities 1–3 weeks after and before the increase of COVID-19 cases in Indonesia. However, a strong correlation is detected at the present time (lag 0), particularly for the herbal medicine category. This study found that correlation analysis using weekly data of Google RSV compared to COVID-19 new cases in Indonesia showed good performance, which is collaborated by previous studies^7,17–19.

The trend of Google RSV for all search terms was higher during the pandemic. This indicates increasing public interest toward alternative medicine during the pandemic in Indonesia. Wise et al.²⁰ noted that awareness of the public related to the COVID-19 pandemic is elevated due to the risk posed by the virus, and the large number of available information sources serves to reinforce their protective behavior. Galankis²¹ also reported that the public tend to search for information related to health either short- or long-term during the pandemic.

The Indonesian Government plays an important role in the high public interest toward alternative medicine during the pandemic. Actions concerning monitoring and providing valid information regarding alternative medicine to the public are urgently needed. These actions should prevent misuse of medical herbal among the public. In addition, information could be used to empower communities to provide self-remedial source at a household level, such as planting herbal medicines.

Conclusion

Public interest on alternative medicine related-terms has dramatically increased during the COVID-19 pandemic in Indonesia. Search terms relating to alternative medicine, herbal medicines and activities surrounding alternative medicines correlate positively with an increase of COVID-19 cases in Indonesia. This study recommends that the Indonesian Government take an active role in informing the public about alternative medicines, and monitoring and providing valid information. This may empower households to produce medical herbs independently.

Data availability

Underlying data

COVID-19 case data available from: https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html

Google Trend data available from: https://trends.google.com/. Search terms and other parameters are provided in the text.

Mendeley: Public interest on alternative medicine during pandemic in Indonesia, http://dx.doi.org/10.17632/fv7tprb24j.1²².

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

Faculty Opinions recommended

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Comments on this article Comments (0)

Version 2

VERSION 2 PUBLISHED 06 Oct 2020

Author details Author details

Serius Miliyani Dwi Putri
Roles: Data Curation, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Validation, Visualization, Writing – Original Draft Preparation

Khoiron Khoiron
Roles: Formal Analysis, Methodology, Project Administration, Validation

Competing interests

No competing interests were disclosed.

Grant information

This study was sponsored by Indonesian Endowment Fund for Education (LPDP).

Article Versions (2)

version 2

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Published: 25 Feb 2021, 9:1201

https://doi.org/10.12688/f1000research.25525.2

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https://doi.org/10.12688/f1000research.25525.1

© 2020 Rokhmah D et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Rokhmah D, Ali K, Putri SMD and Khoiron K. Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study [version 1; peer review: 1 approved, 2 approved with reservations]. F1000Research 2020, 9:1201 (https://doi.org/10.12688/f1000research.25525.1)

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Reviewer Report 11 Feb 2021

Sinan Kardeş, Department of Medical Ecology and Hydroclimatology, Istanbul University, Istanbul, Turkey

Approved

https://doi.org/10.5256/f1000research.28170.r78465

It is an important study. Congratulations. I have few points:

Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.

It is an important study. Congratulations. I have few points:

Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
For your further studies, I suggest to consider performing time series analysis.
Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Conclusion: Please add "early": "during the early COVID-19 pandemic".

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Yes
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

References

1. Kardeş S: Public interest in spa therapy during the COVID-19 pandemic: analysis of Google Trends data among Turkey.Int J Biometeorol. 2021. PubMed Abstract | Publisher Full Text
2. Kardeş S, Kuzu AS, Pakhchanian H, Raiker R, et al.: Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends.Clin Rheumatol. 2020. PubMed Abstract | Publisher Full Text
3. Kardeş S, Kuzu AS, Raiker R, Pakhchanian H, et al.: Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends.Rheumatol Int. 41 (2): 329-334 PubMed Abstract | Publisher Full Text
4. Kardeş S: Seasonal variation in the internet searches for psoriasis.Arch Dermatol Res. 2019; 311 (6): 461-467 PubMed Abstract | Publisher Full Text
5. Kardeş S, Kardeş E: Seasonality of bruxism: evidence from Google Trends.Sleep Breath. 2019; 23 (2): 695-701 PubMed Abstract | Publisher Full Text

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Balneotherapy; Rheumatic and Musculoskeletal Diseases; Google Trends

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response

Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies ... Continue reading Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
Response:
Sure, we have added the following literature as our references (discussion section). Thank you for your suggestion

2. In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
Response:
Sure, we applied this recommendation.

3. In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
Response:
Sure, we applied this recommendation

4. r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
Response:
Sure.

5. In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
Response:
Sure.

6. For your further studies, I suggest to consider performing time series analysis.
Response:
Sure, it become our recommendation for further study. Thank you for your suggestion.

7. Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Response:
Thank you. We had added this literature as our reference in order to describe limitation on our study.

8. Conclusion: Please add "early": "during the early COVID-19 pandemic".
Response:
Sure.

In the latest version of our manuscript is revised based on your recommendation. Thank you for your review.
Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
Response:
Sure, we have added the following literature as our references (discussion section). Thank you for your suggestion

2. In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
Response:
Sure, we applied this recommendation.

3. In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
Response:
Sure, we applied this recommendation

4. r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
Response:
Sure.

5. In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
Response:
Sure.

6. For your further studies, I suggest to consider performing time series analysis.
Response:
Sure, it become our recommendation for further study. Thank you for your suggestion.

7. Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Response:
Thank you. We had added this literature as our reference in order to describe limitation on our study.

8. Conclusion: Please add "early": "during the early COVID-19 pandemic".
Response:
Sure.

In the latest version of our manuscript is revised based on your recommendation. Thank you for your review.
Competing Interests: There is no competing interest Close
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Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response

Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies ... Continue reading Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
Response:
Sure, we have added the following literature as our references (discussion section). Thank you for your suggestion

2. In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
Response:
Sure, we applied this recommendation.

3. In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
Response:
Sure, we applied this recommendation

4. r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
Response:
Sure.

5. In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
Response:
Sure.

6. For your further studies, I suggest to consider performing time series analysis.
Response:
Sure, it become our recommendation for further study. Thank you for your suggestion.

7. Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Response:
Thank you. We had added this literature as our reference in order to describe limitation on our study.

8. Conclusion: Please add "early": "during the early COVID-19 pandemic".
Response:
Sure.

In the latest version of our manuscript is revised based on your recommendation. Thank you for your review.
Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
Response:
Sure, we have added the following literature as our references (discussion section). Thank you for your suggestion

2. In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
Response:
Sure, we applied this recommendation.

3. In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
Response:
Sure, we applied this recommendation

4. r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
Response:
Sure.

5. In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
Response:
Sure.

6. For your further studies, I suggest to consider performing time series analysis.
Response:
Sure, it become our recommendation for further study. Thank you for your suggestion.

7. Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Response:
Thank you. We had added this literature as our reference in order to describe limitation on our study.

8. Conclusion: Please add "early": "during the early COVID-19 pandemic".
Response:
Sure.

In the latest version of our manuscript is revised based on your recommendation. Thank you for your review.
Competing Interests: There is no competing interest Close
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Reviewer Report 05 Feb 2021

Seyed Mohammad Ayyoubzadeh, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

Approved with Reservations

https://doi.org/10.5256/f1000research.28170.r78462

The paper analyzed if the public interest in alternative medicine had changed during the COVID-19 pandemic in Indonesia using Google Search data provided by Google Trends. The authors used the Spearman rank test for performing the statistical test. The result showed that the public interest in alternative medicine has increased during COVID-19.

The study has cited related literature analyzing Google Trends in COVID-19. However, It will be great if the authors could add some references about alternative medicine in the introduction section.

The study design seems appropriate, choosing a reasonable time range for the analysis and performing a suitable statistical test for the analysis.

Please remove the sentence "Currently, no vaccine has been developed for COVID-19".

The URL for google trends is "https://trends.google.com/" not "www.trends.google.com" mentioned in the data source.

I couldn't find the data from the mentioned URL: https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Yes
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Medical Informatics, eHealth, mHealth, IoT, smartphone apps, data mining, CDSS

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

CITE

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Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response

Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction ... Continue reading Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction section.
2. The sentence “Currently, no vaccine has been developed for COVID-19” has been remove in the article.
3. We updated the data source of google trend in the article to "https://trends.google.com/"
4. The following website (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html) is the oldest version of surveillance COVID-19 website from Indonesian Ministry of Health (MoH). The data of COVID-19 case in Indonesia is also found in https://covid19.go.id/peta-sebaran, which is the data is integrated with the Indonesian Ministry of Health (MoH). The website (https://covid19.go.id/peta-sebaran) itself is published by COVID-19 Response Acceleration Task Force of Indonesia (RATF) that is directly created by Indonesian President to combat COVID-19 in Indonesia. Therefore, in order to create accessible data source in this article, we consider to use the data from RATF which is the data is integrate with previous website from MoH.
Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction section.
2. The sentence “Currently, no vaccine has been developed for COVID-19” has been remove in the article.
3. We updated the data source of google trend in the article to "https://trends.google.com/"
4. The following website (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html) is the oldest version of surveillance COVID-19 website from Indonesian Ministry of Health (MoH). The data of COVID-19 case in Indonesia is also found in https://covid19.go.id/peta-sebaran, which is the data is integrated with the Indonesian Ministry of Health (MoH). The website (https://covid19.go.id/peta-sebaran) itself is published by COVID-19 Response Acceleration Task Force of Indonesia (RATF) that is directly created by Indonesian President to combat COVID-19 in Indonesia. Therefore, in order to create accessible data source in this article, we consider to use the data from RATF which is the data is integrate with previous website from MoH.
Competing Interests: There is no competing interests Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response

Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction ... Continue reading Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction section.
2. The sentence “Currently, no vaccine has been developed for COVID-19” has been remove in the article.
3. We updated the data source of google trend in the article to "https://trends.google.com/"
4. The following website (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html) is the oldest version of surveillance COVID-19 website from Indonesian Ministry of Health (MoH). The data of COVID-19 case in Indonesia is also found in https://covid19.go.id/peta-sebaran, which is the data is integrated with the Indonesian Ministry of Health (MoH). The website (https://covid19.go.id/peta-sebaran) itself is published by COVID-19 Response Acceleration Task Force of Indonesia (RATF) that is directly created by Indonesian President to combat COVID-19 in Indonesia. Therefore, in order to create accessible data source in this article, we consider to use the data from RATF which is the data is integrate with previous website from MoH.
Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction section.
2. The sentence “Currently, no vaccine has been developed for COVID-19” has been remove in the article.
3. We updated the data source of google trend in the article to "https://trends.google.com/"
4. The following website (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html) is the oldest version of surveillance COVID-19 website from Indonesian Ministry of Health (MoH). The data of COVID-19 case in Indonesia is also found in https://covid19.go.id/peta-sebaran, which is the data is integrated with the Indonesian Ministry of Health (MoH). The website (https://covid19.go.id/peta-sebaran) itself is published by COVID-19 Response Acceleration Task Force of Indonesia (RATF) that is directly created by Indonesian President to combat COVID-19 in Indonesia. Therefore, in order to create accessible data source in this article, we consider to use the data from RATF which is the data is integrate with previous website from MoH.
Competing Interests: There is no competing interests Close
Report a concern

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Reviewer Report 11 Nov 2020

Lanjing Zhang, Department of Biological Sciences, Rutgers University, Newark, NJ, USA

Approved with Reservations

https://doi.org/10.5256/f1000research.28170.r73844

This is an interesting article focused on the links between google search trend and daily incidence of COVID-19 in Indonesia. The findings appear novel since my search of the literature shows no similar works in the Pubmed. However, I have the ... Continue reading

The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.

Minor:

It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Detailed p values should be provided even they are smaller than .05.
The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Partly
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

References

1. Yuan X, Xu J, Hussain S, Wang H, et al.: Trends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model.Explor Res Hypothesis Med. 2020; 5 (2): 1-6 PubMed Abstract | Publisher Full Text
2. Nindrea RD, Sari NP, Lazuardi L, Aryandono T: Validation: The Use of Google Trends as an Alternative Data Source for COVID-19 Surveillance in Indonesia.Asia Pac J Public Health. 32 (6-7): 368-369 PubMed Abstract | Publisher Full Text
3. Iyengar K, Upadhyaya GK, Vaishya R, Jain V: COVID-19 and applications of smartphone technology in the current pandemic.Diabetes Metab Syndr. 14 (5): 733-737 PubMed Abstract | Publisher Full Text

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: clinical epidemiology, statistical methodology

CITE

Report a concern

Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation ... Continue reading
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Response:
Sure. In the latest version, we informed this condition in discussion section.

2. Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
Response:
Sure. Thank you for your suggestion.

3. The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Response:
Sure, it is.
In this article, we classified the terms of alternative medicine into three categories in order to obtain proper information about public interest on alternative medicine during pandemic, namely: 1) alternative medicine, 2) herbal medicine, and 3) alternative medicine activities.
Group 1 (alternative medicine) represent the term of alternative medicine itself in Bahasa or synonym (“jamu” [alternative medicine]).
Group 2 (herbal medicine) represent the term of the type of herbal medicine that commonly used in public (tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]).
Group 3 (alternative medicine activities) represent the term of the public activities to provide or create alternative medicine ((‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The author performed not only statistical test, but also graphical analysis in this study. The statistical test was used to assess the correlation between alternative medicine terms to COVID-19 daily case. On the other hand, graphical analysis was also performed to analyse the trend of public search/ public interest on alternative medicine terms to COVID-19 daily case. In addition, graphical analysis could also compare the trend of search interest in the alternative medicine term.

4. Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Response:
As we mentioned in the article, the objective of the study is to analyze the public interest on alternative medicine during COVID-19 pandemic, in which alternative medicine is well-known in Indonesia. The hypothesis of this study is the public interest should be rising during pandemic condition, where this condition occur related to health seeking behaviour among community during pandemic. In addition, Google Trend study is used to obtain information of public interest.
This study is necessary, where the study supply information about public interest on alternative medicine to Indonesian Government during pandemic, where Indonesian Government may play important role to provide and monitor appropriate information related to the use of alternative medicine during COVID-19 pandemic.

5. Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.
Response:
In this article, we used spearman ranked test due to the result of normality test of the data, where the data is not normally distributed. Therefore, spearman rank test is fit to assess the correlation between dependent variable to independent variable¹. In addition, if we referred to Mavragani et al (2018)² in her systematic review of Google Trend study, the spearman rank test is also the second most used to examine the correlation in Google Trends study.

¹Sarmento, D. no year. Chapter 22: Correlation Types and When to Use Them. Available: https://ademos.people.uic.edu/Chapter22.html#22_spearman_correlation (accessed on 10-02-2021)
² Mavragani, A., Ochoa, G., Tsagarakis, K.P. 2018. Assessing the methods, tools, and statistical approaches in google trends research: systematic review. Journal of Medical Internet. 20(11):e270

Minor:
1. It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Response:
Sure, this recommendation has been applied in this study, where we added related information in discussion section

2. Detailed p values should be provided even they are smaller than .05.
Response:
Sure.
According to statistical test, the range of p-value was between 0.0194 – 0.0000. But, mostly the p-value score is 0.0000. Therefore, we create 4 groups/classifications in order to present the specific p-value:

* : p<0.05

**          : p<0.01

***        : p<0.001

****       : p <0.0001

3. The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
Response:
The case number refers to total daily case of COVID-19 in Indonesia. In the latest version of our article, we insert this information in methodology.

4. The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.
Response:
This issue become limitation of our study, and we had declared this limitation on discussion section in which the author also mentioned recommendation for further study.
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Response:
Sure. In the latest version, we informed this condition in discussion section.

2. Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
Response:
Sure. Thank you for your suggestion.

3. The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Response:
Sure, it is.
In this article, we classified the terms of alternative medicine into three categories in order to obtain proper information about public interest on alternative medicine during pandemic, namely: 1) alternative medicine, 2) herbal medicine, and 3) alternative medicine activities.
Group 1 (alternative medicine) represent the term of alternative medicine itself in Bahasa or synonym (“jamu” [alternative medicine]).
Group 2 (herbal medicine) represent the term of the type of herbal medicine that commonly used in public (tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]).
Group 3 (alternative medicine activities) represent the term of the public activities to provide or create alternative medicine ((‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The author performed not only statistical test, but also graphical analysis in this study. The statistical test was used to assess the correlation between alternative medicine terms to COVID-19 daily case. On the other hand, graphical analysis was also performed to analyse the trend of public search/ public interest on alternative medicine terms to COVID-19 daily case. In addition, graphical analysis could also compare the trend of search interest in the alternative medicine term.

4. Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Response:
As we mentioned in the article, the objective of the study is to analyze the public interest on alternative medicine during COVID-19 pandemic, in which alternative medicine is well-known in Indonesia. The hypothesis of this study is the public interest should be rising during pandemic condition, where this condition occur related to health seeking behaviour among community during pandemic. In addition, Google Trend study is used to obtain information of public interest.
This study is necessary, where the study supply information about public interest on alternative medicine to Indonesian Government during pandemic, where Indonesian Government may play important role to provide and monitor appropriate information related to the use of alternative medicine during COVID-19 pandemic.

5. Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.
Response:
In this article, we used spearman ranked test due to the result of normality test of the data, where the data is not normally distributed. Therefore, spearman rank test is fit to assess the correlation between dependent variable to independent variable¹. In addition, if we referred to Mavragani et al (2018)² in her systematic review of Google Trend study, the spearman rank test is also the second most used to examine the correlation in Google Trends study.

¹Sarmento, D. no year. Chapter 22: Correlation Types and When to Use Them. Available: https://ademos.people.uic.edu/Chapter22.html#22_spearman_correlation (accessed on 10-02-2021)
² Mavragani, A., Ochoa, G., Tsagarakis, K.P. 2018. Assessing the methods, tools, and statistical approaches in google trends research: systematic review. Journal of Medical Internet. 20(11):e270

Minor:
1. It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Response:
Sure, this recommendation has been applied in this study, where we added related information in discussion section

2. Detailed p values should be provided even they are smaller than .05.
Response:
Sure.
According to statistical test, the range of p-value was between 0.0194 – 0.0000. But, mostly the p-value score is 0.0000. Therefore, we create 4 groups/classifications in order to present the specific p-value:

* : p<0.05

**          : p<0.01

***        : p<0.001

****       : p <0.0001

3. The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
Response:
The case number refers to total daily case of COVID-19 in Indonesia. In the latest version of our article, we insert this information in methodology.

4. The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.
Response:
This issue become limitation of our study, and we had declared this limitation on discussion section in which the author also mentioned recommendation for further study.
Competing Interests: There is no competing interests Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

25 Feb 2021

Author Response
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation ... Continue reading
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Response:
Sure. In the latest version, we informed this condition in discussion section.

2. Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
Response:
Sure. Thank you for your suggestion.

3. The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Response:
Sure, it is.
In this article, we classified the terms of alternative medicine into three categories in order to obtain proper information about public interest on alternative medicine during pandemic, namely: 1) alternative medicine, 2) herbal medicine, and 3) alternative medicine activities.
Group 1 (alternative medicine) represent the term of alternative medicine itself in Bahasa or synonym (“jamu” [alternative medicine]).
Group 2 (herbal medicine) represent the term of the type of herbal medicine that commonly used in public (tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]).
Group 3 (alternative medicine activities) represent the term of the public activities to provide or create alternative medicine ((‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The author performed not only statistical test, but also graphical analysis in this study. The statistical test was used to assess the correlation between alternative medicine terms to COVID-19 daily case. On the other hand, graphical analysis was also performed to analyse the trend of public search/ public interest on alternative medicine terms to COVID-19 daily case. In addition, graphical analysis could also compare the trend of search interest in the alternative medicine term.

4. Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Response:
As we mentioned in the article, the objective of the study is to analyze the public interest on alternative medicine during COVID-19 pandemic, in which alternative medicine is well-known in Indonesia. The hypothesis of this study is the public interest should be rising during pandemic condition, where this condition occur related to health seeking behaviour among community during pandemic. In addition, Google Trend study is used to obtain information of public interest.
This study is necessary, where the study supply information about public interest on alternative medicine to Indonesian Government during pandemic, where Indonesian Government may play important role to provide and monitor appropriate information related to the use of alternative medicine during COVID-19 pandemic.

5. Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.
Response:
In this article, we used spearman ranked test due to the result of normality test of the data, where the data is not normally distributed. Therefore, spearman rank test is fit to assess the correlation between dependent variable to independent variable¹. In addition, if we referred to Mavragani et al (2018)² in her systematic review of Google Trend study, the spearman rank test is also the second most used to examine the correlation in Google Trends study.

¹Sarmento, D. no year. Chapter 22: Correlation Types and When to Use Them. Available: https://ademos.people.uic.edu/Chapter22.html#22_spearman_correlation (accessed on 10-02-2021)
² Mavragani, A., Ochoa, G., Tsagarakis, K.P. 2018. Assessing the methods, tools, and statistical approaches in google trends research: systematic review. Journal of Medical Internet. 20(11):e270

Minor:
1. It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Response:
Sure, this recommendation has been applied in this study, where we added related information in discussion section

2. Detailed p values should be provided even they are smaller than .05.
Response:
Sure.
According to statistical test, the range of p-value was between 0.0194 – 0.0000. But, mostly the p-value score is 0.0000. Therefore, we create 4 groups/classifications in order to present the specific p-value:

* : p<0.05

**          : p<0.01

***        : p<0.001

****       : p <0.0001

3. The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
Response:
The case number refers to total daily case of COVID-19 in Indonesia. In the latest version of our article, we insert this information in methodology.

4. The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.
Response:
This issue become limitation of our study, and we had declared this limitation on discussion section in which the author also mentioned recommendation for further study.
Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Response:
Sure. In the latest version, we informed this condition in discussion section.

2. Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
Response:
Sure. Thank you for your suggestion.

3. The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Response:
Sure, it is.
In this article, we classified the terms of alternative medicine into three categories in order to obtain proper information about public interest on alternative medicine during pandemic, namely: 1) alternative medicine, 2) herbal medicine, and 3) alternative medicine activities.
Group 1 (alternative medicine) represent the term of alternative medicine itself in Bahasa or synonym (“jamu” [alternative medicine]).
Group 2 (herbal medicine) represent the term of the type of herbal medicine that commonly used in public (tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]).
Group 3 (alternative medicine activities) represent the term of the public activities to provide or create alternative medicine ((‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The author performed not only statistical test, but also graphical analysis in this study. The statistical test was used to assess the correlation between alternative medicine terms to COVID-19 daily case. On the other hand, graphical analysis was also performed to analyse the trend of public search/ public interest on alternative medicine terms to COVID-19 daily case. In addition, graphical analysis could also compare the trend of search interest in the alternative medicine term.

4. Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Response:
As we mentioned in the article, the objective of the study is to analyze the public interest on alternative medicine during COVID-19 pandemic, in which alternative medicine is well-known in Indonesia. The hypothesis of this study is the public interest should be rising during pandemic condition, where this condition occur related to health seeking behaviour among community during pandemic. In addition, Google Trend study is used to obtain information of public interest.
This study is necessary, where the study supply information about public interest on alternative medicine to Indonesian Government during pandemic, where Indonesian Government may play important role to provide and monitor appropriate information related to the use of alternative medicine during COVID-19 pandemic.

5. Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.
Response:
In this article, we used spearman ranked test due to the result of normality test of the data, where the data is not normally distributed. Therefore, spearman rank test is fit to assess the correlation between dependent variable to independent variable¹. In addition, if we referred to Mavragani et al (2018)² in her systematic review of Google Trend study, the spearman rank test is also the second most used to examine the correlation in Google Trends study.

¹Sarmento, D. no year. Chapter 22: Correlation Types and When to Use Them. Available: https://ademos.people.uic.edu/Chapter22.html#22_spearman_correlation (accessed on 10-02-2021)
² Mavragani, A., Ochoa, G., Tsagarakis, K.P. 2018. Assessing the methods, tools, and statistical approaches in google trends research: systematic review. Journal of Medical Internet. 20(11):e270

Minor:
1. It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Response:
Sure, this recommendation has been applied in this study, where we added related information in discussion section

2. Detailed p values should be provided even they are smaller than .05.
Response:
Sure.
According to statistical test, the range of p-value was between 0.0194 – 0.0000. But, mostly the p-value score is 0.0000. Therefore, we create 4 groups/classifications in order to present the specific p-value:

* : p<0.05

**          : p<0.01

***        : p<0.001

****       : p <0.0001

3. The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
Response:
The case number refers to total daily case of COVID-19 in Indonesia. In the latest version of our article, we insert this information in methodology.

4. The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.
Response:
This issue become limitation of our study, and we had declared this limitation on discussion section in which the author also mentioned recommendation for further study.
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Version 2

VERSION 2 PUBLISHED 06 Oct 2020

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Version 2 (revision) 25 Feb 21		read	read
Version 1 06 Oct 20	read	read	read

Lanjing Zhang, Rutgers University, Newark, USA
Seyed Mohammad Ayyoubzadeh, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
Sinan Kardeş, Istanbul University, Istanbul, Turkey

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8 Views

26 Feb 2021 | for Version 2

Sinan Kardeş, Department of Medical Ecology and Hydroclimatology, Istanbul University, Istanbul, Turkey

8 Views Cite this report Responses(0)

Approved

Thank you for clarifications.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Balneotherapy; Rheumatic and Musculoskeletal Diseases; Google Trends

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Reviewer Report

13 Views

25 Feb 2021 | for Version 2

Seyed Mohammad Ayyoubzadeh, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

13 Views Cite this report Responses(0)

Approved

The authors have addressed the points raised in my previous review.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Medical Informatics, eHealth, mHealth, IoT, smartphone apps, data mining, CDSS

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Reviewer Report

24 Views

11 Feb 2021 | for Version 1

Sinan Kardeş, Department of Medical Ecology and Hydroclimatology, Istanbul University, Istanbul, Turkey

24 Views Cite this report Responses(1)

Approved

It is an important study. Congratulations. I have few points:

Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
For your further studies, I suggest to consider performing time series analysis.
Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Conclusion: Please add "early": "during the early COVID-19 pandemic".

Is the work clearly and accurately presented and does it cite the current literature?

Yes
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Yes
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

References

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Balneotherapy; Rheumatic and Musculoskeletal Diseases; Google Trends

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Author Response

25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

Dear Dr. Sinan Kardeş,

Thanks for your constructive review. This is our feedback for your review.

1. Please add a paragraph mentioning Google Trends is used in COVID-19 studies to highlight its usefulness in health studies. You may refer following papers ¹,²,³.
Response:
Sure, we have added the following literature as our references (discussion section). Thank you for your suggestion

2. In Methods: Please add when the Google Trends database searched: E.g. On 11 February 2021, Google Trends data were retrieved from...
Response:
Sure, we applied this recommendation.

3. In Methods: Google Trends search: The time period was mentioned; but please mention the other filters: country (Indonesia?), categories (All categories or Health?).
Response:
Sure, we applied this recommendation

4. r > 0.7 indicates strong correlation. Please mention this and revise thoroughly the manuscript particularly for the word 'strong correlation'.
Response:
Sure.

5. In the Results: Please change the name of subheading "Statistical analysis". It was generally used in the Methods section. You may change "Correlation analysis results", or something appropriate.
Response:
Sure.

6. For your further studies, I suggest to consider performing time series analysis.
Response:
Sure, it become our recommendation for further study. Thank you for your suggestion.

7. Please discuss limitations of the study. The authors may refer following papers for limitations ⁴,⁵.
Response:
Thank you. We had added this literature as our reference in order to describe limitation on our study.

8. Conclusion: Please add "early": "during the early COVID-19 pandemic".
Response:
Sure.

In the latest version of our manuscript is revised based on your recommendation. Thank you for your review.

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Reviewer Report

24 Views

05 Feb 2021 | for Version 1

Seyed Mohammad Ayyoubzadeh, Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran

24 Views Cite this report Responses(1)

Approved With Reservations

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Yes
If applicable, is the statistical analysis and its interpretation appropriate?

Yes
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Medical Informatics, eHealth, mHealth, IoT, smartphone apps, data mining, CDSS

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Author Response

25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

Dear Dr. Seyed Mohammad Ayyoubzadeh,

Thank you for your constructive review. This is our feedback for your review:
1. We had added some references about alternative medicine in the introduction section.
2. The sentence “Currently, no vaccine has been developed for COVID-19” has been remove in the article.
3. We updated the data source of google trend in the article to "https://trends.google.com/"
4. The following website (https://www.kemkes.go.id/article/view/20031900002/Dashboard-Data-KasusCOVID-19-di-Indonesia.html) is the oldest version of surveillance COVID-19 website from Indonesian Ministry of Health (MoH). The data of COVID-19 case in Indonesia is also found in https://covid19.go.id/peta-sebaran, which is the data is integrated with the Indonesian Ministry of Health (MoH). The website (https://covid19.go.id/peta-sebaran) itself is published by COVID-19 Response Acceleration Task Force of Indonesia (RATF) that is directly created by Indonesian President to combat COVID-19 in Indonesia. Therefore, in order to create accessible data source in this article, we consider to use the data from RATF which is the data is integrate with previous website from MoH.

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Reviewer Report

36 Views

11 Nov 2020 | for Version 1

Lanjing Zhang, Department of Biological Sciences, Rutgers University, Newark, NJ, USA

36 Views Cite this report Responses(1)

Approved With Reservations

The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.

Minor:

It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Detailed p values should be provided even they are smaller than .05.
The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
Is the study design appropriate and is the work technically sound?

Yes
Are sufficient details of methods and analysis provided to allow replication by others?

Partly
If applicable, is the statistical analysis and its interpretation appropriate?

Partly
Are all the source data underlying the results available to ensure full reproducibility?

Yes
Are the conclusions drawn adequately supported by the results?

Yes

References

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

clinical epidemiology, statistical methodology

Respond to this report

Responses (1)

Author Response

25 Feb 2021

Dewi Rokhmah, Department of Health Promotion and Behavior Science, Faculty of Public Health,, University of Jember, Jember, Indonesia

Dear Dr. Lanjing Zhang,

Thank you for your constructive review. This is our response:
Major:
1. The correlation coefficients appeared moderate (about 0.5-0.6). This low degree of correlation should be addressed. One of the approaches is to correlate the keyword with the google trend. If such a correlation is moderate (in Indonesia), the correlation coefficient become acceptable. Of course, some discussions are needed even so.
Response:
Sure. In the latest version, we informed this condition in discussion section.

2. Literature review is less comprehensive. It could be improved by citing related articles ¹,²,³ and others.
Response:
Sure. Thank you for your suggestion.

3. The authors may compare the trends of search interest in these alternative medicine terms, whose change may have a better correlation with the COVID-19 incidence trends.
Response:
Sure, it is.
In this article, we classified the terms of alternative medicine into three categories in order to obtain proper information about public interest on alternative medicine during pandemic, namely: 1) alternative medicine, 2) herbal medicine, and 3) alternative medicine activities.
Group 1 (alternative medicine) represent the term of alternative medicine itself in Bahasa or synonym (“jamu” [alternative medicine]).
Group 2 (herbal medicine) represent the term of the type of herbal medicine that commonly used in public (tanaman obat’ [herbal medicine], ‘jahe’ [ginger], ‘kunyit’ [curcumin]).
Group 3 (alternative medicine activities) represent the term of the public activities to provide or create alternative medicine ((‘cara membuat jamu’ [how to make jamu], ‘membuat jamu’ [make jamu], ‘menanam tanaman obat’ [planting herbal medicines], ‘menanam jahe’ [planting ginger], ‘menanam kunyit’ [planting curcumin]).

The author performed not only statistical test, but also graphical analysis in this study. The statistical test was used to assess the correlation between alternative medicine terms to COVID-19 daily case. On the other hand, graphical analysis was also performed to analyse the trend of public search/ public interest on alternative medicine terms to COVID-19 daily case. In addition, graphical analysis could also compare the trend of search interest in the alternative medicine term.

4. Do the symptoms correct with COVID-19 daily incidence? They may correlate better than these alternative medicine terms.
Response:
As we mentioned in the article, the objective of the study is to analyze the public interest on alternative medicine during COVID-19 pandemic, in which alternative medicine is well-known in Indonesia. The hypothesis of this study is the public interest should be rising during pandemic condition, where this condition occur related to health seeking behaviour among community during pandemic. In addition, Google Trend study is used to obtain information of public interest.
This study is necessary, where the study supply information about public interest on alternative medicine to Indonesian Government during pandemic, where Indonesian Government may play important role to provide and monitor appropriate information related to the use of alternative medicine during COVID-19 pandemic.

5. Not sure why Spearman ranked test was used. In my view, Pearson's rho may be a better choice.
Response:
In this article, we used spearman ranked test due to the result of normality test of the data, where the data is not normally distributed. Therefore, spearman rank test is fit to assess the correlation between dependent variable to independent variable¹. In addition, if we referred to Mavragani et al (2018)² in her systematic review of Google Trend study, the spearman rank test is also the second most used to examine the correlation in Google Trends study.

¹Sarmento, D. no year. Chapter 22: Correlation Types and When to Use Them. Available: https://ademos.people.uic.edu/Chapter22.html#22_spearman_correlation (accessed on 10-02-2021)
² Mavragani, A., Ochoa, G., Tsagarakis, K.P. 2018. Assessing the methods, tools, and statistical approaches in google trends research: systematic review. Journal of Medical Internet. 20(11):e270

Minor:
1. It will be more helpful if the authors could discuss more on how direct use of these trends could improve disease surveillance and prevention.
Response:
Sure, this recommendation has been applied in this study, where we added related information in discussion section

2. Detailed p values should be provided even they are smaller than .05.
Response:
Sure.
According to statistical test, the range of p-value was between 0.0194 – 0.0000. But, mostly the p-value score is 0.0000. Therefore, we create 4 groups/classifications in order to present the specific p-value:

- * : p<0.05
- ** : p<0.01
- *** : p<0.001
- **** : p <0.0001

3. The case number is probably meant daily new cases or daily incidence. Please use the more precise terms.
Response:
The case number refers to total daily case of COVID-19 in Indonesia. In the latest version of our article, we insert this information in methodology.

4. The total case number should be updated since the one in the text is published 4 months. The number may have been doubled.
Response:
This issue become limitation of our study, and we had declared this limitation on discussion section in which the author also mentioned recommendation for further study.

View more View less

Competing Interests

There is no competing interests

Alongside their report, reviewers assign a status to the article:

Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

Abstract

Keywords

Introduction

Methods

Data sources

Data analysis

Results

COVID-19 cases and Google RSV

Figure 1. Google Relative Search Volume and COVID-19 new cases in Indonesia.

Statistical analysis

Table 1. Correlation between Google Relative Search Volume and COVID-19 cases in Indonesia.

Discussion

Conclusion

Data availability

Underlying data

References

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