Misconceptions and associated factors of COVID-19 infection among internally displaced persons in Sudan
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Coronavirus disease 2019 (COVID-19) is a global public health threat that has spread rapidly and caused morbidity and mortality worldwide. Reducing the myths about infectious diseases is vital for controlling transmission. This study explored the level of misconceptions and associated factors of COVID-19 among internally displaced persons in Sudan. This study is a cross-sectional, descriptive design and community-based study. We collected the data using a self-administered questionnaire via the convenience sampling technique among internally displaced persons in the camps of Zalingei town in the central Darfur region of Sudan. The total mean score of the respondents’ misconception was 3.1725 (SD=0.59) with 63.2%, indicating moderate misunderstanding of COVID-19. Multiple linear regression revealed the independent variables together had a significant impact on a misconception, F(14,116)=2.429, p<0.005. The regression model explains 22.7% of the variance in misunderstanding. Analysis of the influence of single factors on the dependent variable showed that people aged 31–40 years had significantly higher levels of misconception, 0.381 (t=2.116, p<0.037), than those aged over 60 years, and university graduates had considerably lower levels of misunderstanding, −0.061 (t=−2.091, p<0.03) than non-graduates. This study found a moderate level of misconception of COVID-19. Non-graduates had higher levels of misunderstanding than graduates. The results suggest that an education campaign should focus on people with low levels of education to correct their misconceptions regarding the prevention of COVID-19 infection.
Aghababaeian H, Hamdanieh L, Ostadtaghizadeh A. Alcohol intake in an attempt to fight COVID-19: A medical myth in Iran. Alcohol 2020;88:29–32. DOI: https://doi.org/10.1016/j.alcohol.2020.07.006
Ferdous MZ, Islam MS, Sikder MT, Mosaddek ASM, Zegarra-Valdivia JA, Gozal D. Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An online-based crosssectional study. Gańczak M, editor. PLoS One 2020;15(10):e0239254. DOI: https://doi.org/10.1371/journal.pone.0239254
Baig MI, Jameel TI, Alzahrani SH, et al. Predictors of misconceptions, knowledge, attitudes, and practices of COVID-19 pandemic among a sample of the Saudi population. PLoS One 2020;15(12):e0243526. DOI: https://doi.org/10.1371/journal.pone.0243526
Delijewski M, Haneczok J. AI drug discovery screening for COVID-19 reveals zafirlukast as a repurposing candidate. Med Drug Discov 2020;9:100077. DOI: https://doi.org/10.1016/j.medidd.2020.100077
Mohamed K, Yazdanpanah N, Saghazadeh A, Rezaei N. Computational drug discovery and repurposing for the treatment of COVID-19: A systematic review. Vol. 106, Bioorganic Chemistry. Academic Press Inc.; 2021. p. 104490. DOI: https://doi.org/10.1016/j.bioorg.2020.104490
Sayedahmed AMS, Abdalla AAA, Khalid MHM. Knowledge, attitude and practice regarding COVID-19 among Sudanese population during the early days of the pandemic: Online cross-sectional survey. Sci African 2020;10:e00652. DOI: https://doi.org/10.1016/j.sciaf.2020.e00652
Azene ZN, Merid MW, Muluneh AG, et al. Adherence towards COVID-19 mitigation measures and its associated factors among Gondar City residents: A community-based cross-sectional study in Northwest Ethiopia. Di Gennaro F, editor. PLoS One 2020;15(12): e0244265. DOI: https://doi.org/10.1371/journal.pone.0244265
Algaissi AA, Alharbi NK, Hassanain M, Hashem AM. Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience. J Infect Public Health 2020;13(6):834-838. DOI: https://doi.org/10.1016/j.jiph.2020.04.016
Izekor ED, Okpuzor VN, Morka E, Nnaji PT. A Review of COVID-19 Pandemic: Myths, Misconceptions, and Role of Media Education in Nigeria. Asian J Res Infect Dis 2020;5(4):10–9. DOI: https://doi.org/10.9734/ajrid/2020/v5i430172
Puspitasari IM, Yusuf L, Sinuraya RK, et al. Knowledge, Attitude, and Practice During the COVID-19 Pandemic: A Review. J Multidiscip Healthc 2020;13:727–33. DOI: https://doi.org/10.2147/JMDH.S265527
Teja VK, Vasundhara KA, Sriram G. Knowledge, awareness, and practice of dentists in preventing-novel coronavirus (COVID-19) transmission-a questionnaire-based cross-sectional survey. Brazilian Dent Sci 2020;23:1–9. DOI: https://doi.org/10.14295/bds.2020.v23i2.2287
Arman A, Tajik M, Nazemipour M, et al. Risk factors of developing critical conditions in Iranian patients with COVID-19. Glob Epidemio 2021;3:100046. DOI: https://doi.org/10.1016/j.gloepi.2020.100046
Najera H, Ortega-Avila AG. Health and Institutional Risk Factors of COVID-19 Mortality in Mexico, 2020. Am J Prev Med 2021;60(4):471-477. DOI: https://doi.org/10.1016/j.amepre.2020.10.015
Okoro J, Ekeroku A, Nweze B, et al. Attitude and preventive practices towards COVID-19 disease and the impact of awareness training on knowledge of the disease among correctional officers. Emerald Open Research 2022;2:51. DOI: https://doi.org/10.35241/emeraldopenres.13839.2
Gohel KH, Patel PB, Shah PM, et al. Knowledge and perceptions about COVID-19 among the medical and allied health science students in India: An online cross-sectional survey. Clin Epidemiol Glob Health 2021;9:104-109. DOI: https://doi.org/10.1016/j.cegh.2020.07.008
Sahoo S, Padhy SK, Ipsita J, et al. Demystifying the myths about COVID-19 infection and its societal importance. Asian J Psychiatr 2020;54:102244.
Agyemang DO, Bondah EK, Agyemang DO. Factors predicting knowledge on COVID-19 misconceptions and perception of government efforts in Ghana: a cross-sectional study. Int J Sci Reports Bond EK al Int J Sci Rep 2020;6(9):340–8. DOI: https://doi.org/10.18203/issn.2454-2156.IntJSciRep20203547
Schmidt T, Cloete A, Davids A, et al. Myths, misconceptions, othering and stigmatizing responses to Covid-19 in South Africa: A rapid qualitative assessment. PLoS One 2020;15(12):e0244420. DOI: https://doi.org/10.1371/journal.pone.0244420
Abiola Okunlola M, Lamptey E, Senkyire EK, et al. Perceived Myths and Misconceptions about the Novel COVID-19 Outbreak. SciMedicine J 2020;2(3). DOI: https://doi.org/10.28991/SciMedJ-2020-0203-1
Kebede Y, Birhanu Z, Fufa D, et al. Myths, beliefs, and perceptions about COVID-19 in Ethiopia: A need to address information gaps and enable combating efforts. Mallhi TH, editor. PLoS One 2020;15(11):e0243024. DOI: https://doi.org/10.1371/journal.pone.0243024
Mahmoud EM, Pal I, Ahmad MM. Assessing public health risk factors for internally displaced households in North Darfur, Sudan. Disaster Prev Manag An Int J 2021;30(2):225–39. DOI: https://doi.org/10.1108/DPM-04-2019-0105
Mistry SK, Ali ARMM, Yadav UN, et al. Misconceptions about COVID-19 among older Rohingya (forcefully displaced Myanmar nationals) adults in Bangladesh: findings from a cross-sectional study. BMJ Open 2021;11(5):e050427. DOI: https://doi.org/10.1136/bmjopen-2021-050427
Kuwayama DP, Chu KM, Hartman Z, et al. Surgical Needs of Internally Displaced Persons in Kerenik, West Darfur, Sudan. Surg LOW MIDDLE INCOME Ctries World J Surg 2020;44:3224–36. DOI: https://doi.org/10.1007/s00268-020-05603-1
Hassanain SA, Edwards JK, Venables E, et al. conflict and tuberculosis in Sudan: A 10-year review of the National Tuberculosis Programme, 2004-2014. Confl Health 2018;12(1):18. DOI: https://doi.org/10.1186/s13031-018-0154-0
Kranz O, Sachs A, Lang S. Assessment of environmental changes induced by the internally displaced person (IDP) camps in the Darfur region, Sudan, based on multitemporal MODIS data. Int J Remote Sens 2015;36(1):190–210. DOI: https://doi.org/10.1080/01431161.2014.999386
WHO. Https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public A for public [Internet]. [cited 2020 J 1].
Https://www.cdc.gov/coronavirus/2019- ncov/prevent-getting sick/prevention.html CCD 2019 (COVID-19) – P& T [Internet]. C for DC and P 2020 [cited 2020 J 1].
Organization WH. Coronavirus disease (COVID-19) advice for the public: myth busters. 2020; Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advicefor-public/myth-busters
Sahoo S, Padhy SK, Ipsita J, et al. Demystifying the myths about COVID-19 infection and its societal importance. Asian J Psychiatr 2020;54:102244. DOI: https://doi.org/10.1016/j.ajp.2020.102244
Grotenhuis M te, Thijs P. Dummy variables and their interactions in regression analysis: examples from research on body mass index [Internet]. 2015 [cited 2021 Jun 29]. Available from: https://www.researchgate.net/publication/284156962_Dummy_variables_and_their_interactions_in_regression_ana lysis_examples_from_research_on_bod y_mass_index
Stefanski R. Multiple regression analysis: Inference. In Springer, Cham; 2014 [cited 2021 July 3]. p. 1–46.
Claude KM, Serge MS, Alexis KK, Hawkes MT. Prevention of COVID-19 in internally displaced persons camps in War-Torn North Kivu, the Democratic Republic of the Congo: A mixed-methods study. Glob Heal Sci Pract 2020;8(4):638–53. DOI: https://doi.org/10.9745/GHSP-D-20-00272
Goruntla N, Bhupalam P, Jinka DR, et al. Knowledge, perception, and practices towards COVID-19 pandemic among general public of India: A crosssectional online survey. Curr Med Res Pract 2020;10(4):153–9. DOI: https://doi.org/10.1016/j.cmrp.2020.07.013
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