Population seroprevalence of SARS-CoV-2 antibodies in Anambra State, South-East, Nigeria

Autor: Nelly Chibuzor Dike, Obiageli Uchebo, Ugochukwu Chukwulobelu, Anastasia Obiageli Odumegwu, Chukwumuanya Igboekwu, Oluchi Onyedikachi, Simeon Onyemaechi, OgoChukwu Vincent Okpala, Ngozi Christiana Okoye, Cyril C. Dim, Chuma Emembolu, Maryann Chinyere Enike, Peter Ikenna Okoye, Uchenna Benedict Okoye, Vincent Chinedu Okpala, Chukwuebuka Immanuel Ugwu, Ben Okoye, Christopher Ideh
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Infectious Diseases, Vol 110, Iss, Pp 171-178 (2021)
International Journal of Infectious Diseases
ISSN: 1201-9712
Popis: Objective The objective of this study was to determine the proportion of the Anambra State population that had been infected by the SARS-CoV-2 virus and developed antibodies before the second wave. Methods The WHO-recommended health facility-based cross-sectional approach was adapted for this survey. Between 8th and 15th December 2020, 3142 participants across the 21 local government areas (LGAs) of the State, aged one year and over, attending randomly selected health facilities, were recruited. Demographic and symptom-related information were collected from the participants as well as whole peripheral blood, which was tested for SARS-CoV-2 IgG and IgM with rapid test kits. Results 425 participants tested positive for IgG only, 74 for IgM only, while 54 were positive for both IgG and IgM. Overall, 553 positives were recorded, giving a crude seroprevalence of 17.6% (95% CI = 16.26 – 18.98). It ranged widely from 31.9% (95% CI = 24.43 – 40.22) in Onitsha North LGA to 5.4% (95% CI = 2.19 – 10.78) in Awka north. Bayesian Adjustments yielded a state seroprevalence of 16.1%. Conclusion One in six state residents had been infected by SARS-CoV-2 and developed antibodies before the second wave. All LGAs, age groups, sexes, and settlement types were affected by COVID-19. A large proportion of the population remained susceptible to SARS-CoV-2.
Graphical Abstract Image, graphical abstract
Databáze: OpenAIRE