ArticleApplied health economics and health policy2017
Geographic Resource Allocation Based on Cost Effectiveness: An Application to Malaria Policy.
Article in Applied health economics and health policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Models for malaria control optimization-a systematic review.Malaria journal · 2024Pooled it
- Knowledge, attitudes, and practices regarding malaria in rural Uganda: a cross-sectional study.MalariaWorld journal · 2025Article
- Modeling resource allocation strategies for insecticide-treated bed nets to achieve malaria eradication.eLife · 2024Article
- Relationships between test positivity rate, total laboratory confirmed cases of malaria, and malaria incidence in high burden settings of Uganda: an ecological analysis.Malaria journal · 2021Article
- A stakeholder workshop about modelled maps of key malaria indicator survey indicators in Madagascar.Malaria journal · 2019Article
- Malaria and Economic Evaluation Methods: Challenges and Opportunities.Applied health economics and health policy · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare services are often provided to a country as a whole, though in many cases the available resources can be more effectively targeted to specific geographically defined populations. In the case of malaria, risk is highly geographically heterogeneous, and many interventions, such as insecticide-treated bed nets and malaria community health workers, can be targeted to populations in a way that maximises impact for the resources available. This paper describes a framework for geographically targeted budget allocation based on the principles of cost-effectiveness analysis and applied to priority setting in malaria control and elimination. The approach can be used with any underlying model able to estimate intervention costs and effects given relevant local data. Efficient geographic targeting of core malaria interventions could significantly increase the impact of the resources available, accelerating progress towards elimination. These methods may also be applicable to priority setting in other disease areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.