ArticleJournal of global health2020
Estimating the catchment population and incidence of severe acute respiratory infections in a district hospital in Boussé, Burkina Faso.
Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa.Population health metrics · 2025Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe primary cause of death in Burkina Faso is lower respiratory tract infections, accounting for 1 in 7 deaths. The Ministry of Health is building surveillance for severe acute respiratory infections (SARI) in four districts. This study sought to determine the catchment area of the Boussé district hospital and to describe disease burden of individuals hospitalized for SARI.
methodsData were collected from hospital log books to identify individuals with a SARI diagnosis during 2015 and 2016. Residence of SARI patients was recorded to determine the catchment area of the hospital. Population data were used to estimate SARI incidence rates.
resultsInvestigators reviewed logs for 3034 hospital admissions; 885 SARI cases were identified. Five communes were identified as the hospital catchment area, with 770 SARI patients residing in these communes. The SARI incidence rate (IR) for all ages was 136 (95% confidence interval (CI) = 115, 161) and 266 (95% CI = 236, 300) cases per 100 000 population for 2015 and 2016, respectively. Children <1 (RI = 1111 cases per 100 000, 95% CI = 1047, 1178, and RI = 2425 cases per 100 000, 95% CI = 2330, 2524) and adults ≥65 years old (RI = 377 cases per 100 000, 95% CI = 341, 417, and RI = 816 cases per 100 000, 95% CI = 762, 874) had the highest burden of disease for 2015 and 2016, respectively.
conclusionOur analysis found high rates of SARI, especially among children <1 year of age, and marked variation in incidence between the years studied. These baseline data and the method developed will be useful for the new SARI surveillance system.
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