ArticleMalaria journal2021
Guiding placement of health facilities using multiple malaria criteria and an interactive tool.
Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Mapping malaria risk using geospatial and AHP approaches in Nsanje District, Malawi.Epidemiology and infection · 2026Article
- Community awareness and health providers' perspectives on zoonotic Plasmodium knowlesi malaria in Thailand: A mixed-methods assessment.PLoS neglected tropical diseases · 2026Article
- Determinants of malaria infection across different districts of Khyber Pakhtunkhwa, Pakistan: a cross-sectional study.Malaria journal · 2026Article
- Fine-scale spatial mapping of urban malaria prevalence for microstratification in an urban area of Ghana.Malaria journal · 2025Article
- Adherence to the test, treat and track malaria policy among selected health facilities in Ghana: the clients' perspective.Malaria journal · 2025Article
- Incorporating Community Case Management in Risk-Based Surveillance for Malaria Elimination in the Dominican Republic.The American journal of tropical medicine and hygiene · 2025Article
- Health system effectiveness of symptomatic malaria case management in Papua New Guinea.BMJ global health · 2025Article
- Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots.Nature communications · 2023Article
- Serological evaluation of risk factors for exposure to malaria in a pre-elimination setting in Malaysian Borneo.Scientific reports · 2023Article
- Article
- Improving access to care and community health in Haiti with optimized community health worker placement.PLOS global public health · 2022Article
- Impact of traffic congestion on spatial access to healthcare services in Nairobi.Frontiers in health services · 2022Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAccess to healthcare is important in controlling malaria burden and, as a result, distance or travel time to health facilities is often a significant predictor in modelling malaria prevalence. Adding new health facilities may reduce overall travel time to health facilities and may decrease malaria transmission. To help guide local decision-makers as they scale up community-based accessibility, the influence of the spatial allocation of new health facilities on malaria prevalence is evaluated in Bunkpurugu-Yunyoo district in northern Ghana. A location-allocation analysis is performed to find optimal locations of new health facilities by separately minimizing three district-wide objectives: malaria prevalence, malaria incidence, and average travel time to health facilities.
methodsGeneralized additive models was used to estimate the relationship between malaria prevalence and travel time to the nearest health facility and other geospatial covariates. The model predictions are then used to calculate the optimisation criteria for the location-allocation analysis. This analysis was performed for two scenarios: adding new health facilities to the existing ones, and a hypothetical scenario in which the community-based healthcare facilities would be allocated anew. An interactive web application was created to facilitate efficient presentation of this analysis and allow users to experiment with their choice of health facility location and optimisation criteria.
resultsUsing malaria prevalence and travel time as optimisation criteria, two locations that would benefit from new health facilities were identified, regardless of scenarios. Due to the non-linear relationship between malaria incidence and prevalence, the optimal locations chosen based on the incidence criterion tended to be inequitable and was different from those based on the other optimisation criteria.
conclusionsThis study findings underscore the importance of using multiple optimisation criteria in the decision-making process. This analysis and the interactive application can be repurposed for other regions and criteria, bridging the gap between science, models and decisions.
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