Social Determinants of Testing COVID-19 Infections among Private and Public Sector Workers in Yenagoa City, Bayelsa State, Nigeria

Authors

DOI:

https://doi.org/10.25159/2957-3645/13390

Keywords:

COVID-19, public sector, private sector, health belief model, sociocultural

Abstract

Coronavirus is a deadly global pandemic and public emergency that spread rapidly in the population. Confirmed cases are still low, while testing of the disease has been associated with fear and stigmatization. Previous studies have largely concentrated on the clinical aspects, while neglecting the social aspects of testing the diseases, especially among workers. This study examined the social determinants of testing COVID-19 infections among private and public sector employees in Yenagoa City, Bayelsa State. While the Health Belief Model (HBM) provided the theoretical base for this study, the cross-sectional survey served as the study design for the study. Data for this study was collected through the use of a structured questionnaire randomly administered to 422 employees in private and public organisations. Collected data were analysed using descriptive statistics, Chi-Square and Multiple Linear Regression at a 95% significance level. The average age of the respondents was 41.58±9.67 years. Findings indicated that while the knowledge about COVID-19 symptoms among the respondents was generally high, only 38.6% have undertaken the COVID-19 test. Testing was significantly related to social factors such as workplace (x2=6.21), age (x2=45.97), and marital status (x2=39.66). Additionally, marital status (β=0.369) and grade level (β=0.285) positively predicted attitudes towards testing. The study recommended that the agencies of government saddled with public enlightenment in partnership with the proprietors of the private sector should strengthen their efforts towards sensitizing their employees of the need to undergo the test to know their COVID-19 status through the media.

 

Keywords: COVID-19, Public sector, Private sector, Health Belief Model, Socio-cultural

Author Biographies

Oyintonyo Michael-Olomu, Federal University Otuoke

I am an Academic Lecturer currently a Senior Lecturer at the Federal University Otuoke, Yenagoa Bayelsa, Nigeria. PhD

Endurance Uzobo, Niger Delta University

I am an Academic Lecturer, currently a Lecturer I at the Niger Delta University, Wilberforce Island, Amassoma, Nigeria. PhD

Ebidoyawefa Opuru, Niger Delta University

Research Assistant

References

Abrahamson, J. H., & Gahlinger, P. M. (1999). Computer programs for epidemiologists: PEPI V.4.0. Sagebrush.

Amoo, O. S., Tijani, B., Onuigbo, T. I., Oraegbu, J. I., Kareithi, D. N., Obi, J. C., Adeniji, E. T., Dosunmu, A. A., Karera, S., Filani, T., Akinreni, T., Ezike, E., Owoseni, K., Audu, R. A., & Salako, B. L. (2022). Factors affecting COVID-19 testing behaviours among the population in South Western Nigeria. International Journal of Public Health, 67, 1604993. https://doi.org/10.3389/ijph.2022.1604993 DOI: https://doi.org/10.3389/ijph.2022.1604993

Angus Reid Institute. (2020). Half of Canadians taking extra precautions as coronavirus continues to spread around the globe. http://angusreid.org/wp-content/uploads/2020/02/2020.02.04_Coronavirus.pdf

Azlan, A. A., Hamzah, M. R., Sern, T. J., Ayub, S. H., & Mohamad, E. (2020). Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. PLOS One, 15(5), e0233668. https://doi.org/10.1371/journal.pone.0233668 DOI: https://doi.org/10.1371/journal.pone.0233668

Bekele, D., Tolossa, T., Tsegaye, R., & Teshome, W. (2021). The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study. PLOS One, 16(1), e0234585. https://doi.org/10.1371/journal.pone.0234585 DOI: https://doi.org/10.1371/journal.pone.0234585

Borjas, G. J. (2020). Demographic determinants of testing incidence and COVID-19 infections in New York City neighborhoods. (No. w26952). National Bureau of Economic Research. https://ideas.repec.org/p/nbr/nberwo/26952.html DOI: https://doi.org/10.3386/w26952

Bruns, D. P., Kraguljac, N. V., & Bruns, T. R. (2020). COVID-19: Facts, cultural Considerations, and risk of stigmatization. Journal of Transcultural Nursing, 31(4), 326–332. https://doi.org/10.1177/1043659620917724 DOI: https://doi.org/10.1177/1043659620917724

Dryhurst, S., Schneider, C. R., Kerr, J., Freeman, A. L., Recchia, G., Van der Bles, A. M., Spiegelhalter, D., & Van der Linden, S. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research, 23(7–8), 994–1006. https://doi.org/10.1080/13669877.2020.1758193 DOI: https://doi.org/10.1080/13669877.2020.1758193

Dumyati, G., Gaur, S., Nace, D. A., & Jump, R. L. (2020). Does universal testing for COVID-19 work for everyone? Journal of the American Medical Directors Association, 21(11), 1525–1532. https://doi.org/10.1016/j.jamda.2020.08.013 DOI: https://doi.org/10.1016/j.jamda.2020.08.013

European Centre for Disease Prevention and Control. (2020). Surveillance and updates on COVID-19. https://www.ecdc.europa.eu/en/covid-19/situation-updates

Gerhold, L. (2020). COVID-19: Risk perception and coping strategies. Results from a survey in Germany. PsyArXiv Preprints. https://doi.org/10.31234/osf.io/xmpk4 DOI: https://doi.org/10.31234/osf.io/xmpk4

Hopman, J., Allegranzi, B., & Mehtar, S. (2020). Managing COVID-19 in low- and middle-income countries. JAMA, 323(16), 1549–1550. https://doi.org/10.1001/jama.2020.4169 DOI: https://doi.org/10.1001/jama.2020.4169

Kozlowski, J., Veldkamp, L., & Venkateswaran, V. (2020). Scarring body and mind: The long-term belief-scarring effects of COVID-19. National Bureau of Economic Research. https://doi.org/10.20955/wp.2020.009 DOI: https://doi.org/10.20955/wp.2020.009

Labban, L., Thallaj, N., & Labban, A. (2020). Assessing the level of awareness and knowledge of COVID 19 pandemic among Syrians. Archives of Medicine, 12(2), 1–8. DOI: https://doi.org/10.36648/1989-5216.12.3.309

Lau, H., Khosrawipour, T., Kocbach, P., Ichii, H., Bania, J., & Khosrawipour, V. (2021). Evaluating the massive underreporting and undertesting of COVID-19 cases in multiple global epicenters. Pulmonology, 27(2), 110–115. https://doi.org/10.1016/j.pulmoe.2020.05.015 DOI: https://doi.org/10.1016/j.pulmoe.2020.05.015

National Population Commission (2020). The Nigeria population projection and demographic indicators – National and States. NPC.

Nigeria Centre for Disease Control. (2021). COVID-19 Nigeria. https://covid19.ncdc.gov.ng/

Nigeria Centre for Disease Control. (2023, 27 May). COVID-19 Nigeria. https://covid19.ncdc.gov.ng/report/

Obeta, U. M., Ejinaka, O. R., Etukudoh, N. S., Ikeagwulonu, C. R., Agbo, E. C., & Jwanse, I. R. (2021). A Study on coronavirus and Nigerian population; the realities with medical laboratory services. Issues and Development in Health Research Vol. 2, 2, 144–154. https://doi.org/10.9734/bpi/idhr/v2/11147D DOI: https://doi.org/10.9734/bpi/idhr/v2/11147D

Pakpour, A. H., & Griffiths, M. D. (2020). The fear of COVID-19 and its role in preventive behaviors. Journal of Concurrent Disorders, 2(1), 58–63. https://doi.org/10.54127/WCIC8036 DOI: https://doi.org/10.54127/WCIC8036

Pettit, S. D., Jerome, K. R., Rouquié, D., Mari, B., Barbry, P., Kanda, Y., Matsumoto, M., Hester, S., Wehmas, L., Botten, J. W., & Bruce, E. A. (2020). “All in”: A pragmatic framework for COVID‐19 testing and action on a global scale. EMBO Molecular Medicine, 12(6), e12634. https://doi.org/10.15252/emmm.202012634 DOI: https://doi.org/10.15252/emmm.202012634

Singh, J. P., Sewda, A., & Shiv, D. G. (2020). Assessing the knowledge, attitude and practices of students regarding the COVID-19 pandemic. Journal of Health Management, 22(2), 281–290. https://doi.org/10.1177/0972063420935669 DOI: https://doi.org/10.1177/0972063420935669

Raisi-Estabragh, Z., McCracken, C., Bethell, M. S., Cooper, J., Cooper, C., Caulfield, M. J., Munroe, P. B., Harvey, N. C., & Petersen, S. E. (2020). Greater risk of severe COVID-19 in black, Asian and minority ethnic populations is not explained by cardiometabolic, socioeconomic or behavioural factors, or by 25(OH)-vitamin D status: Study of 1326 cases from the UK Biobank. Journal of Public Health, 42(3), 451–460. https://doi.org/10.1093/pubmed/fdaa095 DOI: https://doi.org/10.1093/pubmed/fdaa095

Rosenstock, I. M. (1974). The health belief model and preventive behavior. Health Education & Behavior, 2(4). https://doi.org/10.1177/109019817400200405 DOI: https://doi.org/10.1177/109019817400200405

Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the health belief model. Health Education & Behavior, 15(2), 175–183. https://doi.org/10.1177/109019818801500203 DOI: https://doi.org/10.1177/109019818801500203

Saeed, B. Q., Al-Shahrabi, R., & Bolarinwa, O. A. (2021). Socio-demographic correlate of knowledge and practice toward COVID-19 among people living in Mosul-Iraq: A cross-sectional study. PLOS One, 16(3), e0249310. https://doi.org/10.1371/journal.pone.0249310 DOI: https://doi.org/10.1371/journal.pone.0249310

Schmitt-Grohé, S., Teoh, K., & Uribe, M. (2020). COVID-19: Testing inequality in New York City. (No. w27019). National Bureau of Economic Research. DOI: https://doi.org/10.3386/w27019

Strecher, V. J., & Rosenstock, I. M. (1997). The health belief model. In Cambridge handbook of psychology, health and medicine. Cambridge University Press.

Tashakkori, AS., & Teddlie, C. (2010). SAGE handbook of mixed methods in social & behavioral research. Sage. https://doi.org/10.4135/9781506335193 DOI: https://doi.org/10.4135/9781506335193

Telford, C. T., Onwubiko, U., Holland, D. P., Turner, K., Prieto, J., Smith, S., Yoon, J., Brown, W., Chamberlin, A., Gandhi, N., Williams, S., Khan, F., & Shah, S. (2020). Preventing COVID-19 outbreaks in long-term care facilities through preemptive testing of residents and staff members – Fulton County, Georgia, March–May 2020. Morbidity and Mortality Weekly Report, 69(37), 1296–1299. https://doi.org/10.15585/mmwr.mm6937a4 DOI: https://doi.org/10.15585/mmwr.mm6937a4

Ukwenya, V. O., Fuwape, T. A., Ilesanmi, O. S,. & Afolabi, A. A. (2021). Willingness to participate in testing, contact tracing, and taking the COVID-19 vaccine among community members in a southwestern state in Nigeria. Global Biosecurity, 3(1). https://doi.org/10.31646/gbio.106 DOI: https://doi.org/10.31646/gbio.106

World Health Organization. (2020, 31 July). Rolling updates on coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen

Yuan, Y., Zhao, Y. J., Zhang, Q. E., Zhang, L., Cheung, T., Jackson, T., Jiang, G., & Xiang, Y. T. (2021). COVID-19-related stigma and its sociodemographic correlates: A comparative study. Globalization and Health, 17(1), 1–9. https://doi.org/10.1186/s12992-021-00705-4 DOI: https://doi.org/10.1186/s12992-021-00705-4

Published

2025-10-09

How to Cite

Michael-Olomu, O., Uzobo, E., & Opuru, E. (2025). Social Determinants of Testing COVID-19 Infections among Private and Public Sector Workers in Yenagoa City, Bayelsa State, Nigeria. Social and Health Sciences, 23(1), 23 pages . https://doi.org/10.25159/2957-3645/13390

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Articles