ArticleeLife2021
Identifying
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 42 citations in OpenAlex.
- Three-year trends in malaria transmission parameters under deployment of Interceptor®G1, Interceptor®G2 and PermaNet®3.0 insecticide-treated bed nets in South-Western Burkina Faso.Malaria journal · 2025Article
- An integrative review of the combined use of mathematical and statistical models for estimating malaria transmission parameters.Malaria journal · 2025Review
- Process and Methodological Considerations for Observational Analyses of Vector Control Interventions in Sub-Saharan Africa Using Routine Malaria Data.The American journal of tropical medicine and hygiene · 2025Article
- Unraveling the 'community effects' of interventions against malaria endemicity: a systematic scoping review.BMJ public health · 2024Article
- The behaviour of adult Anopheles gambiae, sub-Saharan Africa's principal malaria vector, and its relevance to malaria control: a review.Malaria journal · 2024Review
- Coinfection frequency in water flea populations is a mere reflection of parasite diversity.Communications biology · 2024Article
- Assessing the implementation fidelity, feasibility, and sustainability of community-based house improvement for malaria control in southern Malawi: a mixed-methods study.BMC public health · 2024Article
- Mosquito bites and stage-specific antibody responses against Plasmodium falciparum in southern Ghana.Malaria journal · 2023Article
- Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia.Infectious Disease Modelling · 2023Article
- Burkitt lymphoma risk shows geographic and temporal associations withProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Hotspots and super-spreaders: Modelling fine-scale malaria parasite transmission using mosquito flight behaviour.PLoS pathogens · 2022Article
- The human-baited host decoy trap (HDT) is an efficient sampling device for exophagic Anopheles arabiensis within irrigated lands in southern Malawi.Scientific reports · 2022Article
- Community-based house improvement for malaria control in southern Malawi: Stakeholder perceptions, experiences, and acceptability.PLOS global public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 5 countries.
Funding
Abstract
Background: Monitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation rate (EIR). Comparing the spatial and temporal variations in the PR and EIR of a given geographical region and modelling the relationship between the two metrics may provide a fuller picture of the malaria epidemiology of the region to inform control activities. Methods: Using geostatistical methods, we compare the spatial and temporal patterns of Results: Hotspots identified through the EIR and PR partly overlapped during high transmission seasons but not during low transmission seasons. The estimated relationship showed a 1-month delayed effect of EIR on PR such that at lower levels of EIR, increases in EIR are associated with rapid rise in PR, whereas at higher levels of EIR, changes in EIR do not translate into notable changes in PR. Conclusions: Our study emphasises the need for integrated malaria control strategies that combine vector and human host managements monitored by both entomological and parasitaemia indices. Funding: This work was supported by Stichting Dioraphte grant number 13050800.
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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.