Evidence map›Paper›PMID 36962502›Full record

ArticlePLOS global public health2022

India may need an additional metric to assess the endemicity of malaria in low surveillance districts.

Chander Prakash Yadav, Sanjeev Gupta, Praveen K Bharti, Manju Rahi, Nafis Faizi, Amit Sharma

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Chander Prakash YadavICMR-National Institute of Malaria Research (NIMR), New Delhi, India.
Sanjeev GuptaICMR-National Institute of Malaria Research (NIMR), New Delhi, India.
Praveen K BhartiICMR-National Institute of Malaria Research (NIMR), New Delhi, India.
Manju RahiAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Nafis FaiziICMR-National Institute of Malaria Research (NIMR), New Delhi, India.ORCID https://orcid.org/0000-0002-4634-6790
Amit SharmaICMR-National Institute of Malaria Research (NIMR), New Delhi, India.ORCID https://orcid.org/0000-0002-3305-0034
National Institute of Malaria Research · INIndian Council of Medical Research · INInternational Centre for Genetic Engineering and Biotechnology · INJawaharlal Nehru Medical College Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India's National Framework for malaria elimination is essentially dependent on Annual Parasite Incidence (API). API is the primary criterion for classifying states and districts into different categories: intensified control, pre-elimination, elimination, prevention and re-establishment of malaria. However, API's validity is critically dependent on multiple factors, one such important factor is Annual Blood Examination Rate (ABER) and is often considered as indicator of operational efficiency. Therefore, the present study aimed to determine whether the API is a sufficiently good malaria index to assess malaria endemicity in India. An in-depth analysis of malaria data (2017-19) was done to determine the appropriateness of API as a sole indicator of malaria endemicity. We stratified the Indian districts into three strata based on Annual Blood Examination Rate (ABER): <5, 5.0-5.0, >15, further APIs was compared with Slide Positivity Rates (SPRs) using sign rank test, independently in each stratum. API and SPR were found comparable (p-value 0.323) in stratum 2 only. However, in the case of lower ABER (<5%, strata 1), the API was significantly lower than the SPR, and higher ABER (>15%), the API was found substantially higher than the SPR. Thus, ABER tunes the validity of API and should avoid to use as a single indicator of malaria endemicity. API is an appropriate measure of malaria endemicity in high and moderate transmission areas where surveillance is good (ABER≥5%). However, it is vitally dependent upon surveillance rate and other factors such as population size, the selection of individuals for malaria testing. Therefore, where surveillance is poor (<5%), we propose that API should be complemented with SPR and the number of cases. It will significantly aid the design and deployment of interventions in India.

Identifiers

PMID36962502
PMCPMC10021988
OpenAlexW4308701011

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Textfull text, public
LicenceCC BY
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reference markers read2
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Registered trials

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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.