ArticlePLoS neglected tropical diseases2015
Prioritising Infectious Disease Mapping.
Article in PLoS neglected tropical diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Global, regional, national epidemiology and trends of neglected tropical diseases in youths and young adults aged 15-39 years from 1990 to 2019: findings from the global burden of disease study 2019.BMC public health · 2024Article
- Article
- Cost and cost effectiveness of geospatial planning and delivery tools added to standard health campaigns in Luapula Province, Zambia.Oxford open digital health · 2024Article
- Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019.Tropical medicine and health · 2023Article
- Comparing Satellite and Ground-Based Measurements of Environmental Suitability for Vector Mosquitoes in an Urban Landscape.Journal of medical entomology · 2022Article
- Wastewater-based epidemiology in hazard forecasting and early-warning systems for global health risks.Environment international · 2022Article
- Characterising spatial patterns of neglected tropical disease transmission using integrated sero-surveillance in Northern Ghana.PLoS neglected tropical diseases · 2022Article
- Remote sensing of environmental risk factors for malaria in different geographic contexts.International journal of health geographics · 2021Article
- Performance Evaluation of Biozentech Malaria Scanner in Plasmodium knowlesi and P. falciparum as a New Diagnostic Tool.The Korean journal of parasitology · 2021Article
- Spatial drivers of COVID-19 vulnerability in Nigeria.The Pan African medical journal · 2021Article
- Control and prevention of infectious diseases from a One Health perspective.Genetics and molecular biology · 2021Article
- Clustering and spatial heterogeneity of bovine tuberculosis at the livestock/wildlife interface areas in Namwala District of Zambia.Veterinary world · 2020Article
- Epidemiological findings and policy implications from the nationwide schistosomiasis and intestinal helminthiasis survey in Sudan.Parasites & vectors · 2019Article
- Predictive analysis across spatial scales links zoonotic malaria to deforestation.Proceedings. Biological sciences · 2019Article
- Identifying Environmental Risk Factors and Mapping the Distribution of West Nile Virus in an Endemic Region of North America.GeoHealth · 2018Article
- Tissue-specific immunopathology during malaria infection.Nature reviews. Immunology · 2018Review
- Article
- Improved prediction accuracy for disease risk mapping using Gaussian process stacked generalization.Journal of the Royal Society, Interface · 2017Article
- Article
- Plasmodium knowlesi transmission: integrating quantitative approaches from epidemiology and ecology to understand malaria as a zoonosis.Parasitology · 2016Review
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Authors and funding
18 authors.
Funding
Abstract
backgroundIncreasing volumes of data and computational capacity afford unprecedented opportunities to scale up infectious disease (ID) mapping for public health uses. Whilst a large number of IDs show global spatial variation, comprehensive knowledge of these geographic patterns is poor. Here we use an objective method to prioritise mapping efforts to begin to address the large deficit in global disease maps currently available. METHODOLOGY/PRINCIPAL
findingsAutomation of ID mapping requires bespoke methodological adjustments tailored to the epidemiological characteristics of different types of diseases. Diseases were therefore grouped into 33 clusters based upon taxonomic divisions and shared epidemiological characteristics. Disability-adjusted life years, derived from the Global Burden of Disease 2013 study, were used as a globally consistent metric of disease burden. A review of global health stakeholders, existing literature and national health priorities was undertaken to assess relative interest in the diseases. The clusters were ranked by combining both metrics, which identified 44 diseases of main concern within 15 principle clusters. Whilst malaria, HIV and tuberculosis were the highest priority due to their considerable burden, the high priority clusters were dominated by neglected tropical diseases and vector-borne parasites. CONCLUSIONS/SIGNIFICANCE: A quantitative, easily-updated and flexible framework for prioritising diseases is presented here. The study identifies a possible future strategy for those diseases where significant knowledge gaps remain, as well as recognising those where global mapping programs have already made significant progress. For many conditions, potential shared epidemiological information has yet to be exploited.
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