Exploring the Role of Infodemics in People’s Incompliance with Preventive Measures during the COVID-19 in Conflict Settings (Mixed Method Study)

The evolving availability of health information on social media, regardless of its credibility, raises several questions about its impact on our health decisions and social behaviors, especially during health crises and in conflict settings where compliance with preventive measures and health guidelines is already a challenge due to socioeconomic factors. For these reasons, we assessed compliance with preventive measures and investigated the role of infodemic in people’s non-compliance with COVID-19 containment measures in Yemen. To this purpose and to triangulate our data collection, we executed a mixed method approach in which raw aggregated data were taken and analyzed from multiple sources (COVID-19 Government Response Tracker and Google COVID-19 Community Mobility Reports), then complemented and verified with In-depth interviews. Our results showed that the population in Yemen had relatively complied with the governmental containment measures at the beginning of the pandemic. However, containment measures were not supported by daily COVID-19 reports due to low transparency, which, together with misinformation and lack of access to reliable sources, has caused the population not to believe in COVID-19 and even practice social pressure on those who showed some compliance with the WHO guidelines. Those results indicate the importance of adopting an infodemic management approach in response to future outbreaks, particularly in conflict settings.

[1]  Ephrem Yohannes Roga,et al.  Compliance level toward COVID-19 preventive measures and associated factors among the Ambo University community, 2021 , 2022, Frontiers in Public Health.

[2]  I. Chérrez-Ojeda,et al.  Impact of biosecurity measures, social pressure and bullying on attitudes, perceptions, and job satisfaction levels among healthcare workers during the COVID-19 pandemic: a cross-sectional survey , 2022, BMJ Open.

[3]  S. van der Linden Misinformation: susceptibility, spread, and interventions to immunize the public , 2022, Nature Medicine.

[4]  I. Oh,et al.  Factors shaping the COVID-19 epidemic curve: a multi-country analysis , 2021, BMC Infectious Diseases.

[5]  M. Adesina,et al.  Lessons from the coronavirus disease 2019 (COVID-19) pandemic response in China, Italy, and the U.S.: a guide for Africa and low- and middle-income countries , 2021, Global Health Journal.

[6]  J. Li,et al.  The role of communication transparency and organizational trust in publics' perceptions, attitudes and social distancing behaviour: A case study of the COVID‐19 outbreak , 2021, Journal of Contingencies and Crisis Management.

[7]  G. Alpers,et al.  Dealing With the COVID-19 Infodemic: Distress by Information, Information Avoidance, and Compliance With Preventive Measures , 2020, Frontiers in Psychology.

[8]  C. Zigler,et al.  Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey , 2020, JMIR public health and surveillance.

[9]  S. Lees,et al.  Trust and transparency in times of crisis: Results from an online survey during the first wave (April 2020) of the COVID-19 epidemic in the UK , 2020, medRxiv.

[10]  A. Abdelhafiz,et al.  Social Stigma: The Hidden Threat of COVID-19 , 2020, Frontiers in Public Health.

[11]  M. Buheji,et al.  The Extent of COVID-19 Pandemic Socio-Economic Impact on Global Poverty. A Global Integrative Multidisciplinary Review , 2020, American Journal of Economics.

[12]  N. Vijaykumar,et al.  COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals , 2020, Journal of Medical Internet Research.

[13]  André Ponce de Leon Ferreira de Carvalho,et al.  COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals , 2020, Journal of medical Internet research.

[14]  The Lancet Infectious Diseases,et al.  The COVID-19 infodemic , 2020, The Lancet Infectious Diseases.

[15]  A. Joshi,et al.  The Covid-19 pandemic in low- and middle-income countries, who carries the burden? Review of mass media and publications from six countries , 2020, Pathogens and Global Health.

[16]  N. Al-Hebshi,et al.  Challenges to testing COVID-19 in conflict zones: Yemen as an example , 2020, Journal of global health.

[17]  Yong-Yeol Ahn,et al.  Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases , 2020, Proceedings of the National Academy of Sciences.

[18]  B. Tran,et al.  Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry , 2020, Brain, Behavior, and Immunity.

[19]  A. Jahn,et al.  COVID-19 in Yemen: preparedness measures in a fragile state , 2020, The Lancet Public Health.

[20]  L. Sher An infectious disease pandemic and increased suicide risk , 2020, Revista brasileira de psiquiatria.

[21]  R. Rajkumar COVID-19 and mental health: A review of the existing literature , 2020, Asian Journal of Psychiatry.

[22]  Md Mahbub Hossain,et al.  Impact of Rumors and Misinformation on COVID-19 in Social Media , 2020, Journal of preventive medicine and public health = Yebang Uihakhoe chi.

[23]  Leanne M. Currie,et al.  The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review , 2018, International Journal of Medical Informatics.

[24]  Shana Meganck,et al.  Ebola on Instagram and Twitter: How health organizations address the health crisis in their social media engagement , 2017 .

[25]  X. Ye,et al.  The Fear of Ebola: A Tale of Two Cities in China , 2017, Big Data Support of Urban Planning and Management.

[26]  Elia Gabarron,et al.  Ebola, Twitter, and misinformation: a dangerous combination? , 2014, BMJ : British Medical Journal.

[27]  Joshua B. Barbour,et al.  Avoiding Health Information , 2012, Journal of health communication.

[28]  Wendi A. Miller,et al.  Information Avoidance: Who, What, When, and Why , 2010 .

[29]  A. Kaplan,et al.  Failure to return for HIV posttest counseling in an STD clinic population. , 2003, AIDS education and prevention : official publication of the International Society for AIDS Education.

[30]  B. Aditya,et al.  The impacts of COVID-19 pandemic to informal economic sector in Indonesia: Theoretical and empirical comparison , 2020, E3S Web of Conferences.