Factors associated with poor perceptions of the COVID-19 pandemic in Africa
Vol 8, Issue 8, 2024
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Abstract
This study examines factors associated with an increasingly poor perception of the novel coronavirus in Africa using a designed electronic questionnaire to collect perception-based information from participants across Africa from twenty-one African countries (and from all five regions of Africa) between 1 and 25 February 2022. The study received 66.7% of responses from West Africa, 12.7% from Central Africa, 4.6% from Southern Africa, 15% from East Africa, and 1% from North Africa. The majority of the participants are Nigerians (56%), 14.1% are Cameroonians, 8.7% are Ghanaians, 9.3% are Kenyans, 2% are South Africans, 2.1% are DR-Congolese, 1.6% are Tanzanians, 1.2% are Rwandans, 0.4% are Burundians, and others are Botswana’s, Chadians, Comoros, Congolese, Gambians, Malawians, South Sudanese, Sierra Leoneans, Ugandans, Zambians, and Zimbabweans. All responses were coded on a five-point Likert scale. The study adopts descriptive statistics, principal component analysis, and binary logistic regression analysis for the data analysis. The descriptive analysis of the study shows that the level of ignorance or poor “perception” of COVID-19 in Africa is very high (87% of individuals sampled). It leads to skepticism towards complying with preventive measures as advised by the WHO and directed by the national government across Africa. We adopted logistic regression analysis to identify the factors associated with a poor perception of the virus in Africa. The study finds that religion (belief or faith) and media misinformation are the two leading significant causes of ignorance or poor “perception” of COVID-19 in Africa, with log odd of 0.4775 (resulting in 1.6120 odd ratios) and 1.3155 (resulting in 3.7265 odd ratios), respectively. The study concludes that if the poor attitude or perception towards complying with the preventive measures continues, COVID-19 cases in Africa may increase beyond the current spread.
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Abiodun, A. O., Ogundunmade, T. P. (2022). Effect of Stigmatization and Discrimination on COVID-19 patients in Africa. International Journal of Advances in Engineering and Management (IJAEM), 4(2), 589–590.
Abu, E. K., Oloruntoba, R., Osuagwu, U. L., et al. (2021). Risk perception of COVID-19 among sub-Sahara Africans: a web-based comparative survey of local and diaspora residents. BMC Public Health, 21(1), 1562. https://doi.org/10.1186/s12889-021-11600-3.
Aidonojie, P. A., Okuonghae, N., Ukhurebor, K. E. (2022). The Legal Rights and Challenges of COVID-19 Patients Accessing Private Healthcare in Nigeria. Bestuur, 10(2), 183–197. https://doi.org/10.20961/bestuur.v10i2.68118
Akintande, J. O., Olubusoye, O. E., Yaya, O. S., Abiodun, A. O. (2022) Explainable Features Responsible for the High or Low Spread of SARS-COV-2: Africa in View. Scientific African, e01301. https://doi.org/10.1016/j.sciaf.2022.e01301
Akintande, O. J., Olubusoye, O. E. (2020). Datasets on how misinformation promotes Immune perception of COVID-19 pandemic in Africa. Data-in-Brief, Elsevier; 2020.
Akinyemi, J. O., Agunbiade, M. O., Salawu, M. M., et al. (2022). Perceptions of COVID-19 transmission risk and testing readiness in rural Southwest Nigeria. Scientific African, 17, e01334. https://doi.org/10.1016/j.sciaf.2022.e01334
Deblina, R., Sarvodava, T., Sujita, K., et al. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in the Indian population during COVID-19 pandemic. Asian Journal of Psychiatry.
Friggeri, A, Adamic, A., Eckles, D., Cheng. (2014). Joint meeting on Advancement of Artificial Intelligence. International Conference on Weblogs and Social Media.
Gulati, P., O., A. Adeyinka., et al. (2021). Automatic Identification and Filtration of COVID-19 Misinformation. Computer and Information Science, 14(4), 57. https://doi.org/10.5539/cis.v14n4p57
Matovu, J. K., Mulyowa, A., Akorimo, R., Kirumira, D. (2022). Knowledge, risk-perception, and uptake of COVID-19 prevention measures in sub-Saharan Africa: a scoping review. Afr Health Sci., 22(3), 542–560. https://doi.org/10.4314/ahs.v22i3.59
Morena, D., Di Fazio, N., La Russa, R., et al. (2022). When COVID-19 Is Not All: Femicide Conducted by a Murderer with a Narcissistic Personality “Masked” by a Brief Psychotic Disorder, with a Mini-Review. International Journal of Environmental Research and Public Health, 19(22), 14826. https://doi.org/10.3390/ijerph192214826
Muñoz-Sastre, D., Rodrigo-Martín, L., & Rodrigo-Martín, I. (2021). The Role of Twitter in the WHO’s Fight against the Infodemic. International Journal of Environmental Research and Public Health, 18(22), 11990. https://doi.org/10.3390/ijerph182211990
Nneji, C. C., Urenyere, R., Ukhurebor, K. E., et al. (2022). The Impacts of COVID-19-induced Online Lectures on the Teaching and Learning Process: An Inquiring Study of Junior Secondary Schools in Orlu, Nigeria. Frontiers in Public Health, 10, 1054536. https://doi.org/10.3389/fpubh.2022.1054536
Nwankwo, W., Ukhurebor, K. E. (2020). Web Forum and Social Media: A Model for Automatic Removal of Fake Media using Multilayered Neural Networks. International Journal of Scientific & Technology Research, 9(1), 4371–4377.
Paladhi, A. G., Manohar, M., Pal, K., et al. (2022). Novel electrochemical biosensor key significance of smart intelligence (IoMT & IoHT) of COVID-19 virus control management. Process Biochemistry, 122, 105–109. https://doi.org/10.1016/j.procbio.2022.09.023
Penninx, B. W. J. H., Benros, M. E., Klein, R. S., et al. (2022). How COVID-19 shaped mental health: from infection to pandemic effects. Nature Medicine, 28(10), 2027–2037. https://doi.org/10.1038/s41591-022-02028-2
Rapoza, K. (2017). Can fake news impact stock market? Forbes.
Silubonde, T. M., Knight, L., Norris, S. A., et al. (2023). Perceptions of the COVID-19 pandemic: a qualitative study with South African adults. BMC Public Health, 23(1). https://doi.org/10.1186/s12889-023-15450-z
Ukhurebor, K. E., Aigbe, U. O., Onyancha, R. B., et al. (2022). Greenhouse Gas Emission: Perception during the COVID-19 Pandemic. BioMed Research International, 2022, 1–12. https://doi.org/10.1155/2022/6166276
Ukhurebor, K. E., Singh, K. R., Nayak, V., et al. (2021). Influence of the SARS-CoV-2 pandemic: a review from the climate change perspective. Environmental Science: Processes & Impacts, 23(8), 1060–1078. https://doi.org/10.1039/d1em00154j
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559
DOI: https://doi.org/10.24294/jipd.v8i8.4770
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