Evidence map›Paper›PMID 41088173›Full record

ArticleMalaria journal2025

Determinants of malaria transmission in Indian districts in 2018: insights from ensemble models.

Avik Kumar Sam, Alisha Khatoon, Harish C Phuleria

Abstract read
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Avik Kumar SamEnvironmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.
Alisha KhatoonEnvironmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, India.
Harish C PhuleriaEnvironmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, India. phuleria@iitb.ac.in.

Funding

Bill and Melinda Gates Foundation RD/0122-GATES0A-001-EXPMinistry of Education, India PMRF ID: 1302077
6 · The paper itself

Abstract

backgroundThe National Framework for Malaria Elimination, formulated in 2016, aims to eliminate malaria in India by 2030, focusing on the districts as the strategic units for planning and implementing intervention measures. In this study, the spatial distribution of malaria hotspots was investigated and the significant covariates were identified that are potentially influencing its transmission in India.

methodsDistrict-wise data on malaria, socio-economic variations, meteorological factors and land-use land-cover changes were used to assess the impact of covariates on the transmission using an ensemble of Random Forest and Poisson regression models.

resultsSpatial clusters for annual parasite incidence (API) and annual falciparum incidence (AFI) were observed distinctly in the central and northeastern districts, but additional hotspots for non-AFI transmission were present in the northern districts. The ensemble models suggest that in districts with high malaria transmission, socio-economically marginalized communities with water inaccessibility and not having a mobile phone are among the potentially vulnerable sections of the society. The use of unprotected water source for household consumption is also potentially linked to increased transmission. Mother's education could reduce malaria transmission, but a substantial proportion of the mothers in high-transmission districts reporting API > 1 did not have any formal or informal education.

conclusionsSocio-economic development that includes concerted efforts to impart both technical and non-technical education and spreading awareness for better lifestyle choices will help reduce the malaria burden in the country. The clusters of high-burden districts instead of individual districts are recommended as strategic points for implementing targeted interventions.

Indexed as

Disease HotspotMalariaMalaria, FalciparumHumansIncidenceIndiaSocioeconomic FactorsLand coverLand useMachine learningMalariaPolicySocio-economic inequitiesWeather

Identifiers

PMID41088173
PMCPMC12522772

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.