Estimating malaria incidence from routine health facility-based surveillance data in Uganda

BACKGROUND: Accurate measures of malaria incidence are essential to track progress and target high-risk populations. While health management information system (HMIS) data provide counts of malaria cases, quantifying the denominator for incidence using these data is challenging because catchment are...

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Detalles Bibliográficos
Autores principales: Epstein, Adrienne, Namuganga, Jane Frances, Kamya, Emmanuel Victor, Nankabirwa, Joaniter I., Bhatt, Samir, Rodriguez-Barraquer, Isabel, Staedke, Sarah G., Kamya, Moses R., Dorsey, Grant, Greenhouse, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709253/
https://www.ncbi.nlm.nih.gov/pubmed/33267886
http://dx.doi.org/10.1186/s12936-020-03514-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709253/
https://www.ncbi.nlm.nih.gov/pubmed/33267886
http://dx.doi.org/10.1186/s12936-020-03514-z

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