ArticleMalaria journal2025
Malaria mortality in Brazil: an age-period cohort study.
Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Dengue and malaria mortality in Ecuador: A population analysis of hospital deaths across 24 provinces, 2015-2023.New microbes and new infections · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalaria is a parasitic disease caused by protozoa of the genus Plasmodium, transmitted through the bites of Anopheles mosquitoes. Despite significant progress in malaria control, the disease remains a persistent public health challenge, particularly in specific Brazilian regions where environmental and socioeconomic factors contribute to its transmission. Understanding mortality trends across different age groups, periods, births cohorts, and regions is essential for developing targeted intervention strategies and optimizing resource allocation. This study aimed to analyse malaria mortality trends in Brazil, focusing on regional differences using an age-period cohort (APC) model.
methodsThis ecological study analysed malaria mortality data in Brazil from 1980 to 2024, sourced from DATASUS. Population estimates by sex were retrieved from the Instituto Brasileiro de Geografia e Estatística. Mortality data, including age, year of death, Brazillian macrorregions and admnistratvive Brazilian Amazon legal, as well as the cause of death (ICD-9: 084; ICD-10: B50-B53), were analysed using an APC model. A Poisson distribution was assumed for mortality counts, and analyses were conducted using Holford's method and its adaptations.
resultsIn the North region, malaria mortality showed an age-related increase, with the highest rates observed in individuals over 80 years old. A significant decline in mortality was observed over the study periods, particularly from 1980 to 1985 to 2020-2024. In the Midwest, the period effect showed fluctuations with an overall decline in recent decades. In the Northeast and Legal Amazon regions, age, period, and cohort effects highlighted clear trends of decreasing mortality over time, particularly for younger cohorts.
conclusionMalaria mortality is influenced by age, period, cohort, and regions. The regional disparities emphasize the need for localized strategies, considering demographic shifts and epidemiological patterns. By integrating these findings into public health planning, policymakers can enhance malaria surveillance, improve healthcare access in vulnerable regions, and refine control measures to further reduce mortality. The study underscores the necessity of continuous investment in malaria prevention, particularly for older adults in endemic areas, to sustain progress and mitigate resurgence risks.
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.