ArticleMalaria journal2019
Modelling the relationship between malaria prevalence as a measure of transmission and mortality across age groups.
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 16 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
16 citing papers in PubMed.
- Malaria Incidence, Growth, and their Relationship among a Cohort of Malawian Children.The American journal of tropical medicine and hygiene · 2026Article
- Ensemble Machine Learning for Malaria Diagnosis in Resource-Limited Settings Using Clinical and Demographic Features.Infectious disease reports · 2026Article
- Impact of age-structured migration on malaria burden: A modelling-empirical analysis in sub-Saharan Africa.Infectious Disease Modelling · 2026Article
- High resolution physically based modelling reveals malaria incidence reduction by vector control measures.Scientific reports · 2026Article
- The impact of malaria-induced neutrophil subset shift and a link to Burkitt lymphoma.PloS one · 2026Article
- Prevalence and factors associated with malaria among children aged 6 months to 10 years in the Greater Accra Region of Ghana: a community-based cross-sectional survey.Malaria journal · 2024Article
- The effects of climatic and non-climatic factors on malaria mortality at different spatial scales in western Kenya, 2008-2019.BMJ global health · 2024Article
- Malaria, climate variability, and interventions: modelling transmission dynamics.Scientific reports · 2023Article
- Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya.Parasites & vectors · 2022Article
- Risk associations of submicroscopic malaria infection in lakeshore, plateau and highland areas of Kisumu County in western Kenya.PloS one · 2022Article
- Ten years of monitoring malaria trend and factors associated with malaria test positivity rates in Lower Moshi.Malaria journal · 2021Article
- Mass Drug Administration With High-Dose Ivermectin and Dihydroartemisinin-Piperaquine for Malaria Elimination in an Area of Low Transmission With High Coverage of Malaria Control Interventions: Protocol for the MASSIV Cluster Randomized Clinical Trial.JMIR research protocols · 2020Article
- Spatial and spatio-temporal analysis of malaria cases in Zimbabwe.Infectious diseases of poverty · 2020Article
- Malaria infection, disease and mortality among children and adults on the coast of Kenya.Malaria journal · 2020Article
- Observational
- The potential of pregnant women as a sentinel population for malaria surveillance.Malaria journal · 2019Article
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.
Funding
Abstract
backgroundParasite prevalence has been used widely as a measure of malaria transmission, especially in malaria endemic areas. However, its contribution and relationship to malaria mortality across different age groups has not been well investigated. Previous studies in a health and demographic surveillance systems (HDSS) platform in western Kenya quantified the contribution of incidence and entomological inoculation rates (EIR) to mortality. The study assessed the relationship between outcomes of malaria parasitaemia surveys and mortality across age groups.
methodsParasitological data from annual cross-sectional surveys from the Kisumu HDSS between 2007 and 2015 were used to determine malaria parasite prevalence (PP) and clinical malaria (parasites plus reported fever within 24 h or temperature above 37.5 °C). Household surveys and verbal autopsy (VA) were used to obtain data on all-cause and malaria-specific mortality. Bayesian negative binomial geo-statistical regression models were used to investigate the association of PP/clinical malaria with mortality across different age groups. Estimates based on yearly data were compared with those from aggregated data over 4 to 5-year periods, which is the typical period that mortality data are available from national demographic and health surveys.
resultsUsing 5-year aggregated data, associations were established between parasite prevalence and malaria-specific mortality in the whole population (RR
conclusionMalaria parasitaemia from cross-sectional surveys was associated with mortality across age groups over 4 to 5 year periods with clinical malaria more strongly associated with mortality than parasite prevalence. This effect was stronger in children 5-14 years compared to other age-groups. Further analyses of data from other HDSS sites or similar platforms would be useful in investigating the relationship between malaria and mortality across different endemicity levels.
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.