ArticleScientific reports2016
Advances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 2 of them syntheses that pooled it.
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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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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Spatial and spatio-temporal methods for mapping malaria risk: a systematic review.BMJ global health · 2020Pooled it
- Where and why malaria persists in heterogeneous transmission settings: insights from routine health facility data.BMJ global health · 2026Article
- Spatio-temporal heterogeneity of urban malaria in Libreville, Gabon (2012-2023): neighborhood-level hotspot analysis for micro-stratified control.Malaria journal · 2026Article
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Patterns and Determinants of Imported Malaria near the Argentina-Bolivia Border, 1977-2009.Pathogens (Basel, Switzerland) · 2025Article
- High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis.Malaria journal · 2024Article
- Spatio-temporal modelling of routine health facility data for malaria risk micro-stratification in mainland Tanzania.Scientific reports · 2023Article
- Spatio-temporal analysis of malaria incidence and its risk factors in North Namibia.Malaria journal · 2023Article
- Human and vector behaviors determine exposure to Anopheles in Namibia.Parasites & vectors · 2022Article
- Satellite Observations and Malaria: New Opportunities for Research and Applications.Trends in parasitology · 2021Review
- Article
- Progress towards onchocerciasis elimination in Côte d'Ivoire: A geospatial modelling study.PLoS neglected tropical diseases · 2021Article
- Estimating malaria incidence from routine health facility-based surveillance data in Uganda.Malaria journal · 2020Article
- Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991-2019.Malaria journal · 2020Article
- Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health.BMJ global health · 2020Article
- Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data.Malaria journal · 2020Article
- Malaria Case Fatality Rate among Children under Five in Burkina Faso: An Assessment of the Spatiotemporal Trends Following the Implementation of Control Programs.International journal of environmental research and public health · 2020Article
- Effect of Free Healthcare Policy for Children under Five Years Old on the Incidence of Reported Malaria Cases in Burkina Faso by Bayesian Modelling: "Not only the Ears but also the Head of the Hippopotamus".International journal of environmental research and public health · 2020Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
Abstract
The long-term goal of the global effort to tackle malaria is national and regional elimination and eventually eradication. Fine scale multi-temporal mapping in low malaria transmission settings remains a challenge and the World Health Organisation propose use of surveillance in elimination settings. Here, we show how malaria incidence can be modelled at a fine spatial and temporal resolution from health facility data to help focus surveillance and control to population not attending health facilities. Using Namibia as a case study, we predicted the incidence of malaria, via a Bayesian spatio-temporal model, at a fine spatial resolution from parasitologically confirmed malaria cases and incorporated metrics on healthcare use as well as measures of uncertainty associated with incidence predictions. We then combined the incidence estimates with population maps to estimate clinical burdens and show the benefits of such mapping to identifying areas and seasons that can be targeted for improved surveillance and interventions. Fine spatial resolution maps produced using this approach were then used to target resources to specific local populations, and to specific months of the season. This remote targeting can be especially effective where the population distribution is sparse and further surveillance can be limited to specific local areas.
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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.