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Seroprevalence of COVID-19 in Niger State
Hussaini Majiya; Mohammed Aliyu-Paiko; Vincent Tochukwu Balogu; Dickson Achimugu Musa; Ibrahim Maikudi Salihu; Abdullahi Abubakar Kawu; Ishaq Yakubu Bashir; Aishat Rabiu Sani; John Baba; Amina Tako Muhammad; Fatima Ladidi Jibril; Ezekiel Bala; Nuhu George Obaje; Yahaya Badeggi Aliyu; Ramatu Gogo Muhammad; Hadiza Mohammed; Usman Naji Gimba; Abduljaleel Uthman; Hadiza Muhammad Liman; Sule Alfa Alhaji; Joseph Kolo James; Muhammad Muhammad Makusidi; Mohammed Danasabe Isah; Ibrahim Abdullahi; Umar Ndagi; Bala Waziri; Chindo Ibrahim Bisallah; Naomi John Dadi-Mamud; Kolo Ibrahim; Abu Kasim Adamu.
Afiliação
  • Hussaini Majiya; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Mohammed Aliyu-Paiko; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Vincent Tochukwu Balogu; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Dickson Achimugu Musa; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Ibrahim Maikudi Salihu; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Abdullahi Abubakar Kawu; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Ishaq Yakubu Bashir; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Aishat Rabiu Sani; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • John Baba; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Amina Tako Muhammad; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Fatima Ladidi Jibril; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Ezekiel Bala; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Nuhu George Obaje; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Yahaya Badeggi Aliyu; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Ramatu Gogo Muhammad; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Hadiza Mohammed; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Usman Naji Gimba; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Abduljaleel Uthman; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Hadiza Muhammad Liman; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Sule Alfa Alhaji; General Hospital, Minna, Nigeria
  • Joseph Kolo James; Niger State Ministry of Health, Minna, Nigeria
  • Muhammad Muhammad Makusidi; Niger State Ministry of Health, Minna, Nigeria
  • Mohammed Danasabe Isah; General Hospital, Minna, Nigeria
  • Ibrahim Abdullahi; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Umar Ndagi; IBB Specialised Hospital, Minna, Nigeria
  • Bala Waziri; IBB Specialised Hospital, Minna, Nigeria
  • Chindo Ibrahim Bisallah; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Naomi John Dadi-Mamud; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Kolo Ibrahim; Ibrahim Badamasi Babangida University, Lapai, Nigeria
  • Abu Kasim Adamu; Ibrahim Badamasi Babangida University, Lapai, Nigeria
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20168112
ABSTRACT
BackgroundCoronavirus Disease 2019 (COVID-19) Pandemic caused by SARS-CoV-2 is ongoing causing human and socioeconomic losses. ObjectiveTo know how far the virus has spread in Niger State, Nigeria, a pilot study was carried out to determine the SARS-CoV-2 seroprevalence, patterns, dynamics, and risk factors in the state. MethodsA cross sectional study design and Clustered-Stratified-Random sampling strategy were used to select 185 test participants across the state. SARS-CoV-2 IgG and IgM Rapid Test Kits (Colloidal gold immunochromatography lateral flow system) were used to determine the presence or absence of the antibodies to the virus in the blood of sampled participants across Niger State as from 26th June 2020 to 30th June 2020. The test kits were validated using the blood samples of some of the Nigeria Center for Disease Control (NCDC) confirmed positive and negative COVID-19 cases in the State. SARS-CoV-2 IgG and IgM Test results were entered into the EPIINFO questionnaire administered simultaneously with each test. EPIINFO was then used for to calculate arithmetic mean and percentage, odd ratio, chi-square, and regression at 95% Confidence Interval of the data generated. ResultsThe seroprevalence of SARS-CoV-2 in Niger State was found to be 25.41% and 2.16% for the positive IgG and IgM respectively. Seroprevalence among age groups, gender and by occupation varied widely. COVID-19 asymptomatic rate in the state was found to be 46.81%. The risk analyses showed that the chances of infection are almost the same for both urban and rural dwellers in the state. However, health care workers, those that experienced flu-like symptoms and those that have had contact with person (s) that travelled out of Nigeria in the last six (6) months (February -June 2020) are twice (2 times) at risk of being infected with the virus. More than half (54.59%) of the participants in this study did not practice social distancing at any time since the pandemic started. Discussions about knowledge, practice and attitude of the participants are included. ConclusionThe observed Niger State SARS-CoV-2 seroprevalence and infection patterns means that the virus is widely spread, far more SARS CoV-2 infections occurred than the reported cases and high asymptomatic COVID-19 across the state.
Licença
cc_by_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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