Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison
- PMID: 32401219
- PMCID: PMC7238862
- DOI: 10.2196/19334
Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison
Abstract
Background: The coronavirus disease (COVID-19) pandemic presents one of the most challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate pandemic response measures to the public. Understanding of communication strategies across different PHAs and examining the public response on the social media landscapes can help improve practices for disseminating information to the public.
Objective: This study aims to examine COVID-19-related outreach efforts of PHAs in Singapore, the United States, and England, and the corresponding public response to these outreach efforts on Facebook.
Methods: Posts and comments from the Facebook pages of the Ministry of Health (MOH) in Singapore, the Centers for Disease Control and Prevention (CDC) in the United States, and Public Health England (PHE) in England were extracted from January 1, 2019, to March 18, 2020. Posts published before January 1, 2020, were categorized as pre-COVID-19, while the remaining posts were categorized as peri-COVID-19 posts. COVID-19-related posts were identified and classified into themes. Metrics used for measuring outreach and engagement were frequency, mean posts per day (PPD), mean reactions per post, mean shares per post, and mean comments per post. Responses to the COVID-19 posts were measured using frequency, mean sentiment polarity, positive to negative sentiments ratio (PNSR), and positive to negative emotions ratio (PNER). Toxicity in comments were identified and analyzed using frequency, mean likes per toxic comment, and mean replies per toxic comment. Trend analysis was performed to examine how the metrics varied with key events such as when COVID-19 was declared a pandemic.
Results: The MOH published more COVID-19 posts (n=271; mean PPD 5.0) compared to the CDC (n=94; mean PPD 2.2) and PHE (n=45; mean PPD 1.4). The mean number of comments per COVID-19 post was highest for the CDC (mean CPP 255.3) compared to the MOH (mean CPP 15.6) and PHE (mean CPP 12.5). Six major themes were identified, with posts about prevention and safety measures and situation updates being prevalent across the three PHAs. The themes of the MOH's posts were diverse, while the CDC and PHE posts focused on a few themes. Overall, response sentiments for the MOH posts (PNSR 0.94) were more favorable compared to response sentiments for the CDC (PNSR 0.57) and PHE (PNSR 0.55) posts. Toxic comments were rare (0.01%) across all PHAs.
Conclusions: PHAs' extent of Facebook use for outreach purposes during the COVID-19 pandemic varied among the three PHAs, highlighting the strategies and approaches that other PHAs can potentially adopt. Our study showed that social media analysis was capable of providing insights about the communication strategies of PHAs during disease outbreaks.
Keywords: COVID-19; emotion analysis; infectious disease; outbreak; public engagement; public health; public health authorities; sentiment analysis; social media; virus.
©Aravind Sesagiri Raamkumar, Soon Guan Tan, Hwee Lin Wee. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.05.2020.
Conflict of interest statement
Conflicts of Interest: None declared.
Figures



Similar articles
-
Use of Facebook by Academic Medical Centers in Taiwan During the COVID-19 Pandemic: Observational Study.J Med Internet Res. 2020 Nov 20;22(11):e21501. doi: 10.2196/21501. J Med Internet Res. 2020. PMID: 33119536 Free PMC article.
-
Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data.J Med Internet Res. 2020 May 26;22(5):e18796. doi: 10.2196/18796. J Med Internet Res. 2020. PMID: 32412414 Free PMC article.
-
Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media.J Med Internet Res. 2020 Aug 24;22(8):e21360. doi: 10.2196/21360. J Med Internet Res. 2020. PMID: 32750013 Free PMC article.
-
Singapore COVID-19 Pandemic Response as a Successful Model Framework for Low-Resource Health Care Settings in Africa?OMICS. 2020 Aug;24(8):470-478. doi: 10.1089/omi.2020.0077. Epub 2020 Jun 16. OMICS. 2020. PMID: 32552397 Review.
-
COVID-19 and Singapore: From Early Response to Circuit Breaker.Ann Acad Med Singap. 2020 Aug;49(8):561-572. Ann Acad Med Singap. 2020. PMID: 33164026 Review.
Cited by
-
How Can Health Systems Better Prepare for the Next Pandemic? Lessons Learned From the Management of COVID-19 in Quebec (Canada).Front Public Health. 2021 Jun 18;9:671833. doi: 10.3389/fpubh.2021.671833. eCollection 2021. Front Public Health. 2021. PMID: 34222176 Free PMC article. Review.
-
A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis.J Med Internet Res. 2021 Feb 16;23(2):e16348. doi: 10.2196/16348. J Med Internet Res. 2021. PMID: 33591280 Free PMC article.
-
Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study.J Med Internet Res. 2021 Feb 9;23(2):e25108. doi: 10.2196/25108. J Med Internet Res. 2021. PMID: 33497351 Free PMC article.
-
The matching effect in persuasive communication about lockdown.Front Psychol. 2022 Oct 12;13:987114. doi: 10.3389/fpsyg.2022.987114. eCollection 2022. Front Psychol. 2022. PMID: 36312173 Free PMC article.
-
Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media.J Med Internet Res. 2021 Aug 9;23(8):e28249. doi: 10.2196/28249. J Med Internet Res. 2021. PMID: 34280116 Free PMC article.
References
-
- Worldometer. 2020. [2020-04-11]. Countries where COVID-19 has spread https://www.worldometers.info/coronavirus/countries-where-coronavirus-ha...
-
- Uras U. Al Jazeera. 2020. Apr 08, [2020-04-11]. Coronavirus: comparing COVID-19, SARS and MERS https://www.aljazeera.com/news/2020/04/coronavirus-comparing-covid-19-sa....
-
- Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J, Bruce H, Spitters C, Ericson K, Wilkerson S, Tural A, Diaz G, Cohn A, Fox L, Patel A, Gerber SI, Kim L, Tong S, Lu X, Lindstrom S, Pallansch MA, Weldon WC, Biggs HM, Uyeki TM, Pillai SK. First case of 2019 novel coronavirus in the United States. N Engl J Med. 2020 Mar 05;382(10):929–936. doi: 10.1056/nejmoa2001191. - DOI - PMC - PubMed
-
- Moss P, Barlow G, Easom N, Lillie P, Samson A. Lessons for managing high-consequence infections from first COVID-19 cases in the UK. Lancet. 2020 Mar 14;395(10227):e46. doi: 10.1016/S0140-6736(20)30463-3. http://europepmc.org/abstract/MED/32113507 - DOI - PMC - PubMed
-
- Abdullah Z, Salamat H. Channel News Asia. 2020. Jan 23, [2020-04-11]. Singapore confirms first case of Wuhan virus https://www.channelnewsasia.com/news/singapore/wuhan-virus-pneumonia-sin....
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources