Evidence map›Paper›PMID 33532405›Full record

ArticleJournal of family medicine and primary care2020

Dynamics of dengue outbreaks in gangetic West Bengal: A trend and time series analysis.

Jitendra Majhi, Ritesh Singh, Vikas Yadav, Vinay Garg, Paramita Sengupta, Pravin Kumar Atul, Himmat Singh

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 5 institutions in 1 country.

Jitendra MajhiDepartment of Community Medicine and Family Medicine, AIIMS Kalyani, West Bengal, India.
Ritesh SinghDepartment of Community Medicine and Family Medicine, AIIMS Kalyani, West Bengal, India.
Vikas YadavDepartment of Community Medicine, Atal Bihari Vajpayee Government Medical College, Vidisha, Madhya Pradesh, India.
Vinay GargNational Centre for Disease Control, New Delhi, India.
Paramita SenguptaDepartment of Community Medicine and Family Medicine, AIIMS Kalyani, West Bengal, India.
Pravin Kumar AtulICMR - National Institute of Malaria Research, Dwarka, New Delhi, India.
Himmat SinghICMR - National Institute of Malaria Research, Dwarka, New Delhi, India.
All India Institute of Medical Sciences · INAll India Institute of Medical Sciences Bhopal · INAll India Institute of Medical Sciences Raipur · INGovernment Medical College · INNational Center for Disease Control · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDengue is a vector-borne viral disease which is one of the major causes of public health problem in India, and its control is often the major challenges of municipal bodies in the country, especially in West Bengal. The previous outbreaks of the disease can be used to forecast the future occurrence and burden, so that authorities may optimize the available resources in order to contain and minimize the impact. MATERIALS AND

methodsWeekly disease outbreak data were extracted from Integrated Disease Surveillance Programme website and arranged as monthly data. Mann-Kendall test was used to determine the significance of the disease trends in various districts of Gangetic West Bengal. Time series analysis was done by using Seasonal ARIMA method to predict the number of Dengue outbreak cases for the year 2020.

resultsMurshidabad was the only district of Gangetic West Bengal that had a significant upward Dengue cases outbreak trend. Nadia had a downward trend but it was not statistically significant. Model SARIMA (1,0,0) (1,0,0)

conclusionGangetic West Bengal might experience similar dengue cases as the previous year, but their numbers would be low. Only the district of Murshidabad would have upward trend. Knowledge in advance about periods of disease occurrence may enable health authorities to initiate control measures during the start of the outbreak season.

Indexed as

Dengue outbreaksMAKESENS applicationseasonal ARIMAtime series analysistrend analysis

Identifiers

PMID33532405
PMCPMC7842458
OpenAlexW3110206589

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

None linked

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.