AI Article Synopsis
- In malaria-affected countries, it's essential to focus intervention efforts on the areas that need it most for effective progress.
- Global and national decision-makers use epidemiological data and mathematical models to guide health initiatives, relying heavily on data from the Demographic and Health Surveys (DHS) Program to understand local malaria prevalence and intervention coverage.
- The text highlights limitations in current survey designs, particularly in Nigeria, and suggests enhancements to survey questions and sampling strategies that could improve data quality, necessitating collaboration among various stakeholders to tackle these data challenges.
Article Abstract
In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-national level. The Demographic and Health Surveys (DHS) Program is a critical data source for understanding subnational malaria prevalence and intervention coverage, which are used for parameterizing country-specific models of malaria transmission. However, data to estimate indicators at finer resolutions are limited, and surveys questions have a narrow scope. Examples from the Nigeria DHS are used to highlight gaps in the current survey design. Proposals are then made for additional questions and expansions to the DHS and Malaria Indicator Survey sampling strategy that would advance the data analyses and modelled estimates that inform national policy recommendations. Collaboration between the DHS Program, national malaria control programmes, the malaria modelling community, and funders is needed to address the highlighted data challenges.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919087 | PMC |
| http://dx.doi.org/10.1186/s12936-021-03646-w | DOI Listing |
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