ArticleMalaria journal2019
Characterising malaria connectivity using malaria indicator survey data.
Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 48 citations in OpenAlex.
- Where did the nets go? Tracing long-lasting insecticidal net migration on Bioko Island.Malaria journal · 2026Article
- Assessment of Health Status and Creation of a Registry of Potential Research Participants Aged 1.5 to 50 Years on Bioko Island, Equatorial Guinea.The American journal of tropical medicine and hygiene · 2025Article
- Testing indoor residual spraying coverage targets for malaria control, Bioko, Equatorial Guinea.Bulletin of the World Health Organization · 2025Article
- Integrating local malaria molecular monitoring into regular malaria indicator surveys on Bioko Island: high association between urban communities and low-density infections.Malaria journal · 2025Article
- Malaria survey data and geospatial suitability mapping for understanding spatial and temporal variations of risk across Kenya.Parasite epidemiology and control · 2025Article
- Regular Plasmodium falciparum importation onto Bioko Island, Equatorial Guinea, hampers malaria elimination from the island.PLOS global public health · 2025Article
- The role of connectivity on malaria dynamics across areas with contrasting control coverage in the Peruvian Amazon.PLoS neglected tropical diseases · 2024Article
- Impact of six-month COVID-19 travel moratorium on Plasmodium falciparum prevalence on Bioko Island, Equatorial Guinea.Nature communications · 2024Article
- Adapting malaria indicator surveys to investigate treatment adherence: a pilot study on Bioko Island, Equatorial Guinea.Malaria journal · 2024Article
- Malaria in under-five children: prevalence and multi-factor analysis of high-risk African countries.BMC public health · 2024Article
- Modeling the Regional Distribution of International Travelers in Spain to Estimate Imported Cases of Dengue and Malaria: Statistical Inference and Validation Study.JMIR public health and surveillance · 2024Article
- Spatiotemporal distribution and bionomics of Anopheles stephensi in different eco-epidemiological settings in Ethiopia.Parasites & vectors · 2024Article
- Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024Article
- Spatiotemporal analysis of within-country imported malaria in Brazilian municipalities, 2004-2022.PLOS global public health · 2024Article
- A prospective cohort study linking migration, climate, and malaria risk in the Peruvian Amazon.Epidemiology and infection · 2023Article
- Spatial dynamics of malaria transmission.PLoS computational biology · 2023Article
- Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventions.Malaria journal · 2023Article
- Quantifying malaria acquired during travel and its role in malaria elimination on Bioko Island.Malaria journal · 2021Article
- Comparing metapopulation dynamics of infectious diseases under different models of human movement.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Genetic diversity and natural selection on the thrombospondin-related adhesive protein (TRAP) gene of Plasmodium falciparum on Bioko Island, Equatorial Guinea and global comparative analysis.Malaria journal · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria connectivity describes the flow of parasites among transmission sources and sinks within a given landscape. Because of the spatial and temporal scales at which parasites are transported by their hosts, malaria sub-populations are largely defined by mosquito movement and malaria connectivity among them is largely driven by human movement. Characterising malaria connectivity thus requires characterising human travel between areas with differing levels of exposure to malaria. Whilst understanding malaria connectivity is fundamental for optimising interventions, particularly in areas seeking or sustaining elimination, there is a dearth of human movement data required to achieve this goal. Malaria indicator surveys (MIS) are a generally under utilised but potentially rich source of travel data that provide a unique opportunity to study simple associations between malaria infection and human travel in large population samples. This paper shares the experience working with MIS data from Bioko Island that revealed programmatically useful information regarding malaria importation through human travel. Simple additions to MIS questionnaires greatly augmented the level of detail of the travel data, which can be used to characterise human travel patterns and malaria connectivity to assist targeting interventions. It is argued that MIS potentially represent very important and timely sources of travel data that need to be further exploited.
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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.