Evidence map›Paper›PMID 33110826›Full record

ArticleJournal of family medicine and primary care2020

Profile of communicable diseases reported under integrated disease surveillance programme from a teaching hospital.

Ishaan Ramdas, Shashikala Nair

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Ishaan RamdasFinal Year MBBS Student, Pondicherry Institute of Medical Sciences, Kalapet, Pondicherry, India.
Shashikala NairDepartment of Microbiology, Pondicherry Institute of Medical Sciences, Kalapet, Pondicherry, India.
Pondicherry Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntegrated disease surveillance programme (IDSP) maintains laboratory-based disease surveillance system for epidemic prone diseases in our country. This study was undertaken to analyze the epidemiological profile and seasonal variations of various communicable diseases reported to IDSP over a 5-year period from 2014 to 2018 from our institute.

methodsAll laboratory confirmed communicable diseases reported under IDSP over a 5-year period were analyzed for their distribution with respect to epidemiological variables, geographical distribution, and seasonal variation. STATISTICAL ANALYSIS: Data was entered in MS excel sheet and the results expressed as percentages.

resultsA total of 3,602 communicable diseases were reported under IDSP during the time period from January 2014 to December 2018. Dengue continues to be the most common reported disease over the years followed by Scrub typhus which had an outbreak in 2018. Furthermore, adult males in the productive age group of 21-30 years are commonly affected by almost all communicable diseases. Seasonal variation was noted in communicable diseases with highest number of cases in the rainy season of October to December in Puducherry as well as a peak in January and June.

conclusionsThe pattern of communicable diseases that have been diagnosed and reported will prove to be useful in planning appropriate preventive and containment measures in the near future as well as in creating awareness in the community.

Indexed as

Communicable diseasesdengueIDSPPuducherry

Identifiers

PMID33110826
PMCPMC7586638
OpenAlexW3082636943

What OpenQuestion holds

Textmetadata
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.