ArticleMalaria journal2026
Geospatial mapping of gender-sensitive malaria vulnerability and ITN usage barriers in Zamfara State, Nigeria.
Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalaria continues to pose a serious public health challenge in Zamfara State, Nigeria, disproportionately affecting women and children due to socio-economic barriers. This study aimed to develop a Composite Gender-Sensitive Malaria Vulnerability Index (CGMVI) to identify areas of heightened malaria vulnerability and support informed targeted interventions.
methodsMalaria incidence and mortality data from the Malaria Atlas Project, and population data from WorldPop, were integrated with indicators of Insecticide-Treated Net (ITN) access and usage, maternal education, and household wealth. A Pentagonal Fuzzy Analytic Hierarchy Process was used to compute the CGMVI, while Getis-Ord Gi* hotspot analysis identified spatial patterns of vulnerability across Zamfara State.
resultsThe CGMVI revealed a west-to-east gradient of malaria vulnerability across Zamfara State, with hotspots in Gummi (3.86) and Bukkuyum (3.62), characterized by low ITN usage (82-85%), high maternal education deficits (89-91%), and household poverty (85-90%). Moderate vulnerability was observed in central Local Government Areas (LGAs) such as Anka and Bungudu, while northern and eastern LGAs, including Shinkafi, Zurmi, and Tsafe, exhibited low vulnerability with higher ITN coverage (≈92%) and better socio-economic profiles. Hotspot analysis using Getis-Ord Gi* confirmed statistically significant clustering in western LGAs (z-scores 2.11-4.89 at 99% confidence), while coldspots in the north and east had z-scores from - 1.69 to - 3.39. These patterns reflect intersections of socio-economic barriers, ITN access, and maternal education, highlighting areas where women and children face elevated malaria risk.
conclusionThe study offers a spatial framework for understanding how epidemiological, socio-economic, and gender-related factors shape malaria vulnerability in Zamfara State. By identifying areas where women and children may face elevated risk, the findings can inform gender-sensitive ITN distribution, community malaria literacy initiatives, and socio-economic support strategies. The CGMVI provides a tool to guide evidence-informed planning and better integrate gender considerations into malaria control efforts in the state.
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.