Cargando…
Predictive vs. Empiric Assessment of Schistosomiasis: Implications for Treatment Projections in Ghana
BACKGROUND: Mapping the distribution of schistosomiasis is essential to determine where control programs should operate, but because it is impractical to assess infection prevalence in every potentially endemic community, model-based geostatistics (MBG) is increasingly being used to predict prevalen...
Autores principales: | Kabore, Achille, Biritwum, Nana-Kwadwo, Downs, Philip W., Soares Magalhaes, Ricardo J., Zhang, Yaobi, Ottesen, Eric A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3591348/ https://www.ncbi.nlm.nih.gov/pubmed/23505584 http://dx.doi.org/10.1371/journal.pntd.0002051 |
Ejemplares similares
-
Mapping Helminth Co-Infection and Co-Intensity: Geostatistical Prediction in Ghana
por: Soares Magalhães, Ricardo J., et al.
Publicado: (2011) -
How do disease control measures impact spatial predictions of schistosomiasis and hookworm? The example of predicting school-based prevalence before and after preventive chemotherapy in Ghana
por: Kulinkina, Alexandra V., et al.
Publicado: (2023) -
The COUNTDOWN Study Protocol for Expansion of Mass Drug Administration Strategies against Schistosomiasis and Soil-Transmitted Helminthiasis in Ghana
por: Campbell, Suzy J., et al.
Publicado: (2018) -
Onchocerciasis control in Ghana (1974–2016)
por: Biritwum, Nana-Kwadwo, et al.
Publicado: (2021) -
Schistosomiasis in Africa: Improving strategies for long-term and sustainable morbidity control
por: French, Michael D., et al.
Publicado: (2018)