Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019

BACKGROUND: As global progress to reduce malaria transmission continues, it is increasingly important to track changes in malaria incidence rather than prevalence. Risk estimates for Africa have largely underutilized available health management information systems (HMIS) data to monitor trends. This...

Descripción completa

Detalles Bibliográficos
Autores principales: Kigozi, Simon P., Kigozi, Ruth N., Sebuguzi, Catherine M., Cano, Jorge, Rutazaana, Damian, Opigo, Jimmy, Bousema, Teun, Yeka, Adoke, Gasasira, Anne, Sartorius, Benn, Pullan, Rachel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737387/
https://www.ncbi.nlm.nih.gov/pubmed/33317487
http://dx.doi.org/10.1186/s12889-020-10007-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737387/
https://www.ncbi.nlm.nih.gov/pubmed/33317487
http://dx.doi.org/10.1186/s12889-020-10007-w

Ejemplares similares