Evidence map›Paper›PMID 40987489›Full record

ArticleBMJ global health2025

Time to address the drawbacks in estimation and reporting of malaria cases in India and beyond.

Nimita Deora, Richa Singhal, Abhinav Sinha

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Frontiers in cellular and infection microbiology · 2025
    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.

Nimita DeoraICMR-National Institute of Malaria Research, New Delhi, India.ORCID 0000-0001-7054-4802
Richa SinghalICMR-National Institute of Malaria Research, New Delhi, India.ORCID 0000-0002-3407-4900
Abhinav SinhaICMR-National Institute of Malaria Research, New Delhi, India abhinavsinha@icmr.gov.in.ORCID 0000-0003-1900-7686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India is committed to eliminate malaria by 2030. However, there has been a continuous debate between National Malaria Control Programmes (NMCPs) and World Health rganization (WHO) on the differential perception of malaria burden. The evident gap between the reported cases by NMCPs and WHO estimations, particularly for India, has never been unbiasedly addressed. This work provides a critical understanding of gaps between estimated and reported cases (ERR) of malaria and the possible reasons thereof.We calculated the ratio between estimated and reported cases, called ERR thereof, for highlighting this gap from 2010 to 2022. We also dissected some of the assumptions/adjustments used by WHO to compensate for data inadequacy while estimating malaria cases. The contribution of private sector in reporting malaria cases and contemporary research data on malaria burden in India were correlated with ERR.ERR remained consistently high (WHO-South-East Asia Region >6; India >10) from 2010 to 2022. Certain assumptions/adjustment factors used by WHO for estimation were unclear. Malaria case reporting from private sector in India was virtually non-existent contributing to consistently high ERR. Data from contemporary research in India also reveal a high burden gap with microscopy-positivity being 3 to 55 times higher than that reported by the NMCP.There still remain a few areas where more detailed clarification is needed both from the WHO and the NMCPs reporting malaria burden specifically regarding malaria case reporting from the private health sectors. If these issues are addressed and resolved, the gap between ERR can be narrowed down or even zeroed.

Indexed as

MalariaDisease NotificationHumansIndiaPrivate SectorWorld Health OrganizationIndiaMalaria

Identifiers

PMID40987489
PMCPMC12551520

What OpenQuestion holds

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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.