Evidence map›Paper›PMID 29512603›Full record

ArticleThe Indian journal of medical research2017

Devising a method towards development of early warning tool for detection of malaria outbreak.

Preeti Verma, Soma Sarkar, Poonam Singh, Ramesh C Dhiman

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2017. 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. Early warning systems for the detection of malaria outbreaks.The Indian journal of medical research · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Preeti VermaEnvironmental Epidemiology Division, ICMR-National Institute of Malaria Research, New Delhi, India.
Soma SarkarEnvironmental Epidemiology Division, ICMR-National Institute of Malaria Research, New Delhi, India.
Poonam SinghEnvironmental Epidemiology Division, ICMR-National Institute of Malaria Research, New Delhi, India.
Ramesh C DhimanEnvironmental Epidemiology Division, ICMR-National Institute of Malaria Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Uncertainty often arises in differentiating seasonal variation from outbreaks of malaria. The present study was aimed to generalize the theoretical structure of sine curve for detecting an outbreak so that a tool for early warning of malaria may be developed. Methods: A 'case/mean-ratio scale' system was devised for labelling the outbreak in respect of two diverse districts of Assam and Rajasthan. A curve-based method of analysis was developed for determining outbreak and using the properties of sine curve. It could be used as an early warning tool for Plasmodium falciparum malaria outbreaks. Result: In the present method of analysis, the critical C Interpretation & conclusions: The present study showed that in P. falciparum cases in Karbi Anglong (Assam) and Jaisalmer (Rajasthan) districts, the rise in C

Indexed as

Disease OutbreaksHumansIndiaMalaria, FalciparumPlasmodium falciparumCase/mean ratio - early warning - malaria - outbreak - root mean square - sine curve - tool

Identifiers

PMID29512603
PMCPMC5861472

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.