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Predictors of Lassa fever diagnosis in suspected cases reporting to health facilities in Nigeria.
Ochu, Chinwe Lucia; Ntoimo, Lorretta; Onoh, Ikenna; Okonofua, Friday; Meremikwu, Martin; Mba, Sandra; Iniobong, Akanimo; Nwafor, Obinna; Dalhat, Mahmood; Ohonsi, Cornelius; Arinze, Chinedu; Esu, Ekpereonne; Igumbor, Ehimario Uche; Dan-Nwafor, Chioma; Ilori, Elsie; Adetifa, Ifedayo.
Affiliation
  • Ochu CL; Department of Prevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Ntoimo L; Department of Demography and Social Statistics, Faculty of Social Sciences, Federal University Oye-Ekiti, Oye-Ekiti, Nigeria.
  • Onoh I; Department of Health Emergency Preparedness and Response, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Okonofua F; Centre of Excellence in Reproductive Health Innovation, University of Benin, Benin City, Nigeria.
  • Meremikwu M; Cochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
  • Mba S; Department of Paediatrics, University of Calabar Teaching Hospital, Calabar, Nigeria.
  • Iniobong A; Department of Surveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Nwafor O; Department of Health Emergency Preparedness and Response, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Dalhat M; Department of Surveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Ohonsi C; Department of Prevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Arinze C; Infectious Diseases Control Centre, Kaduna, Kaduna State, Nigeria.
  • Esu E; Department of Prevention Programmes and Knowledge Management, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Igumbor EU; Department of Surveillance and Epidemiology, Nigeria Centre for Disease Control, Abuja, Nigeria.
  • Dan-Nwafor C; Cochrane Nigeria, Institute of Tropical Diseases Research and Prevention, University of Calabar Teaching Hospital, Calabar, Nigeria.
  • Ilori E; Department of Public Health, College of Medical Sciences, University of Calabar, Calabar, Nigeria.
  • Adetifa I; Centre for Infectious Disease Research, Nigerian Institute of Medical Research, Lagos, Nigeria.
Sci Rep ; 13(1): 6545, 2023 04 21.
Article in En | MEDLINE | ID: mdl-37085507
Lassa fever (LF) remains endemic in Nigeria with the country reporting the highest incidence and mortality globally. Recent national data suggests increasing incidence and expanding geographic spread. Predictors of LF case positivity in Nigeria have been sparsely studied. We thus sought to determine the sociodemographic and clinical determinants of LF positivity amongst suspected cases presenting to health facilities from 2018 to 2021. A secondary analysis of the national LF surveillance data between January 2018 and December 2021. Socio-demographic and clinical data of 20,027 suspected LF cases were analysed using frequencies and Chi-square statistics with significant p-value set at p < 0.05. The outcome variable was LF case status (positive or negative). Predictors of LF case positivity were assessed using multiple logistic regression models with 95% confidence intervals (CI). Case positivity rate (CPR) for the four years was 15.8% with higher odds of positivity among age group 40-49 years (aOR = 1.40; 95% CI 1.21-1.62), males (aOR = 1.11; 95% CI 1.03-1.20), those with formal education (aOR = 1.33; 95% CI 1.13-1.56), artisans (aOR = 1.70; 95% CI 1.28-2.27), religious leaders (aOR = 1.62; 95% CI 1.04-2.52), farmers (aOR = 1.48; 95% CI 1.21-1.81), and symptomatic individuals (aOR = 2.36; 95% CI 2.09-2.68). Being a health worker (aOR = 0.69; 95% CI 0.53-0.91), a teacher (aOR = 0.69; 95% CI 0.53-0.89) and cases reporting in the 3rd quarter (aOR = 0.79; 95% CI 0.69-0.92) had lower odds. In a sex-disaggregated analysis, female farmers had higher odds of positivity (aOR = 2.43; 95% CI 1.76-3.38; p < 0.001) than male farmers (aOR = 1.52; 95% CI 1.19-1.96; p < 0.01). Fever (aOR = 2.39; 95% CI 2.00-2.84) and gastrointestinal (GI) symptoms (aOR = 2.15; 95% CI 1.94-2.37) had the highest odds among symptoms. Combination of fever and GI symptoms (aOR = 2.15; 95% CI 1.50-3.10), fever and neurological symptoms (aOR = 6.37; 95% CI 1.49-27.16), fever and musculo-skeletal symptoms (aOR = 2.95; 95% CI 1.37-6.33), fever and cardiopulmonary symptoms (aOR = 1.81; 95% CI 1.24-2.64), and cardiopulmonary and general symptoms (aOR = 1.50; 95% CI 1.19-1.89) were also predictive. Cumulative LF CPR appears high with clearly identified predictors. Targeted interventions with heightened index of suspicion for sociodemographic categories predictive of LF in suspected cases are recommended. Ethnographic and further epidemiological studies could aid better understanding of these associations.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lassa Fever Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Africa Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Nigeria Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lassa Fever Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Africa Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Nigeria Country of publication: Reino Unido