Evidence map›Paper›PMID 28208855›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Dengue: An Analysis of Epidemiological Pattern Over a Six Year Period.

Nidhi Singla, Preeti Chaudhary, Monika Thakur, Jagdish Chander

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 18 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

4 authors at 1 institution in 1 country.

Nidhi SinglaAssociate Professor, Department of Microbiology, Government Medical College Hospital , Chandigarh, India .
Preeti ChaudharyDemonstrator, Department of Microbiology, Government Medical College Hospital , Chandigarh, India .
Monika ThakurLaboratory Technician, Department of Microbiology, Government Medical College Hospital , Chandigarh, India .
Jagdish ChanderProfessor and Head, Department of Microbiology, Government Medical College Hospital , Chandigarh, India .
Government Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDengue is an arboviral infection transmitted among humans by

aimTo study the epidemiological patterns of dengue virus infection in our region over a period of six years. MATERIALS AND

methodsThe present retrospective study was undertaken in the Department of Microbiology, Government Medical College Hospital, Chandigarh during time period January 2010 to December 2015 on 10,774 serum samples from patients clinically suspected to be suffering from dengue infection. Samples were selected as per World Health Organization (WHO) criteria. All the samples were processed for the presence of dengue IgM antibodies by μ anti-body-capture Enzyme Linked Immunosorbent Assay (ELISA), MAC ELISA and/or NS1Ag by ELISA as per the instructions of the manufacturer. The data was analysed from the data sheets available.

resultsDuring the time period, a total of 10,774 samples were processed and 2,449 (22.7%) samples came out to be positive for dengue virus infection. Marked seasonal variation was noted with 0-2 cases presenting during month of January to July but positivity peaked in post monsoon season in October (>70%) and tapered till December every year. The adult age group (16-45 yrs) showed maximum positivity (83.5%) with males affected more than females.

conclusionThe present study clearly shows that our region is endemic for the dengue virus infection and there is need to continuously monitor the transmission of the disease in the community, to plan effective measures, to control the spread of dengue virus infection timely.

Indexed as

Enzyme linkedFlavivirusIgM antibodies

Identifiers

PMID28208855
PMCPMC5296428
OpenAlexW2563020402

What OpenQuestion holds

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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.