Analysing Public Health Impact of Misinformation During COVID-19 Pandemic using the Socio-Ecological Model: A Systematic Review

Introduction: Social media and Internet use during disasters have been proven to be useful tools in helping public health agencies to respond to pandemics. However, this tool can also be the culprit in the spread of misinformation to the public. This study aims to identify the public health impact of misinformation during the COVID-19 pandemic using the socio-ecological model. Methods: A systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was initially undertaken by searching relevant articles published from January to November 2020 in several electronic databases including Medline, PubMed, and Springer link. All publications produced in English regarding the impact of misinformation during the COVID-19 outbreak were included except review articles. Results: Eleven articles were identified from these databases. The public health impact of misinformation from these articles was analysed and discussed according to the domains of the socio-ecological model. It was found that various elements of misinformation on the COVID-19 pandemic caused a significant impact on the individual, interpersonal, organisational, community, and policy levels across various nations. Conclusion: This study concludes that addressing misinformation during a pandemic such as the COVID-19 phenomenon is an important measure to improve public health response in mitigating the spread of pandemics. © 2023 Authors. All rights reserved.

The Role of Big Data Analytics in Digital Health for COVID-19 Prevention and Control in Asia

Big data analytics (BDA) in digital health is critical for gaining the knowledge needed to make decisions, with Asia at the forefront of utilising this technology for the Coronavirus disease 2019 (COVID-19). This review aims to study how BDA was incorporated into digital health in managing the COVID-19 pandemic in six selected Asian countries, discuss its advantages and barriers and recommend measures to improve its adoption. A narrative review was conducted. Online databases were searched to identify all relevant literature on the roles of BDA in digital health for COVID-19 preventive and control measures. The findings showed that these countries had used BDA for contact tracing, quarantine compliance, outbreak prediction, supply rationing, movement control, information update, and symptom monitoring. Compared to conventional approaches, BDA in digital health plays a more efficient role in preventing and controlling COVID-19. It may inspire other countries to adopt this technology in managing the pandemic. © 2022 UPM Press. All rights reserved.