101. The Distribution and Determinants of COVID-19 in Sudan, 2020/2021: Analysis of Surveillance Data
- Author
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Ahmad Izzoddeen Abdullah, Sabir Ali Mohammed, Alaa Khalil Ibrahim, Mohamed Hashim, Muaaza Abasher Elzain, Omer Abadri Mohamed, Hafsa Abuelgasim, Ismaiel Mohamed Ismaiel, Abdalla Mohamed Abdalla, Alla Hamed Dafalla, Suliman Gamal Elgurashi, Muntasir M. Osman, Tehani Amin Mahmoud, Mohamed Abdalhafiz Alkhidir, Elfadil Mohammed Mahmoud, Babiker Ahmed Ali Magboul, Abdalla Siedahmed Osman, Mohamed Elfatih Mohamed Saeed, Victor Kuete, Thomas Efferth, Ibrahim Abdalla Elhassen, Chris Lane, Basma AbdElGawad, Muzhgan Habibi, Mahmoud Sadek, Haitham Bashier, and Elfatih M. Malik
- Abstract
Background Since the first case of COVID-19 in Sudan was reported in March 2020, the Federal Ministry of Health adopted an active surveillance system to collect and analyze information from the isolation centers and public and private laboratories about all suspected and confirmed COVID-19 cases. This study used the surveillance data to better understand the distribution and determinants of COVID-19 in Sudan and to construct a threshold level beyond which the dramatic surge may occur. Methods Data of suspected and confirmed COVID-19 cases were extracted from the line list prepared by the Surveillance and Information Department at the Federal Ministry of Health after obtaining ethical approval from the National Ethics Committee. Data were cleaned, coded, and analyzed using SPSS version 21. Frequencies and proportions were used to describe data. A univariate logistic regression analysis was used to determine the association of variables with the positivity of COVID-19. Variables with p-values p
- Published
- 2022
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