ArticleNature communications2018
Estimating sources and sinks of malaria parasites in Madagascar.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Leveraging spatial structure to design spatially-targeted malaria interventions at the community-scale.PLoS computational biology · 2026Article
- Estimating probabilities of malaria importation in southern Mozambique through modellingeLife · 2026Article
- Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.Infectious Disease Modelling · 2026Article
- Understanding inequities in the malaria landscape of Madagascar: a scoping review of current evidence.Malaria journal · 2026Review
- Identifying malaria elimination strategies in the presence of human movement in Bangladesh.Communications medicine · 2025Article
- Public health surveillance of tropical diseases in Madagascar: a scoping review of population burden, intervention strategies, and health system responses.BMC public health · 2025Article
- Spatial spread of COVID-19 during the early pandemic phase in Italy.BMC infectious diseases · 2024Article
- Genomics reveals heterogeneous Plasmodium falciparum transmission and selection signals in Zambia.Communications medicine · 2024Article
- Genomics reveals heterogeneousmedRxiv : the preprint server for health sciences · 2024Article
- Spatiotemporal analysis of within-country imported malaria in Brazilian municipalities, 2004-2022.PLOS global public health · 2024Article
- Mobile Phone Data: A Survey of Techniques, Features, and Applications.Sensors (Basel, Switzerland) · 2023Review
- Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar.PLOS global public health · 2023Article
- Malaria in Angola: recent progress, challenges and future opportunities using parasite demography studies.Malaria journal · 2022Review
- Connecting the dots: understanding how human mobility shapes TB epidemics.Trends in microbiology · 2022Review
- Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar.Epidemics · 2022Article
- Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar.medRxiv : the preprint server for health sciences · 2021Article
- Analysing human population movement data for malaria control and elimination.Malaria journal · 2021Review
- Malaria in Southern Venezuela: The hottest hotspot in Latin America.PLoS neglected tropical diseases · 2021Article
- Reconciling model predictions with low reported cases of COVID-19 in Sub-Saharan Africa: insights from Madagascar.Global health action · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
In areas where malaria epidemiology is spatially and temporally heterogeneous, human-mediated parasite importation can result in non-locally acquired clinical cases and outbreaks in low-transmission areas. Using mobility estimates derived from the mobile phone data and spatial malaria prevalence data, we identify travel routes relevant to malaria transmission in Madagascar. We find that the primary hubs of parasite importation are in a spatially connected area of the central highlands. Surprisingly, sources of these imported infections are not spatially clustered. We then related these source locations directly to clinical cases in the low-transmission area of the capital. We find that in the capital, a major sink, the primary sources of infection are along the more populated coastal areas, although these sources are seasonally variable. Our results have implications for targeting interventions at source locations to achieve local or national malaria control goals.
Indexed as
Identifiers
What OpenQuestion holds
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.