Evidence map›Paper›PMID 35811075›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS).

Malathi Murugesan, Padmanaban Venkatesan, Senthil Kumar, Premkumar Thangavelu, Winsley Rose, Jacob John, Marx Castro, T Manivannan, Venkata Raghava Mohan, Priscilla Rupali

Abstract read
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Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Malathi MurugesanDepartment of Clinical Microbiology & Hospital Infection Control Committee, Christian Medical College, Vellore, Tamil Nadu, India.
Padmanaban VenkatesanDepartment of Biochemistry, Christian Medical College, Vellore, Tamil Nadu, India.
Senthil KumarDepartment of Community Health, Christian Medical College, Vellore, Tamil Nadu, India.
Premkumar ThangaveluDepartment of Infectious Diseases, Christian Medical College, Vellore, Tamil Nadu, India.
Winsley RoseDepartment of Pediatrics, Christian Medical College, Vellore, Tamil Nadu, India.
Jacob JohnDepartment of Community Health, Christian Medical College, Vellore, Tamil Nadu, India.
Marx CastroDeputy Director of Health Services, Vellore, Tamil Nadu, India.
T ManivannanDeputy Director of Health Services, Vellore, Tamil Nadu, India.
Venkata Raghava MohanDepartment of Community Health, Christian Medical College, Vellore, Tamil Nadu, India. Electronic address: venkat@cmcvellore.ac.in.
Priscilla RupaliDepartment of Infectious Diseases, Christian Medical College, Vellore, Tamil Nadu, India. Electronic address: prisci@cmcvellore.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGeographical Information Surveillance (GIS) is an advanced digital technology tool that maps location-based data and helps in epidemiological modeling. We applied GIS to analyze patterns of spread and hotspots of COVID-19 cases in the Vellore district in South India.

methodsLaboratory-confirmed COVID-19 cases from the Vellore district and neighboring taluks from March 2020 to June 2021 were geocoded and spatial maps were generated. Time trends exploring urban-rural burden with an age-sex distribution of cases and other variables were correlated with outcomes.

resultsA total of 45,401 cases of COVID-19 were detected, with 20,730 cases during the first wave and 24,671 cases during the second wave. The overall incidence rates of COVID-19 were 462.8 and 588.6 per 100,000 population during the first and second waves, respectively. The spread pattern revealed epicenters in densely populated urban areas with radial spread sparing rural areas in the first wave. The case fatality rate was 1.89% and 1.6% during the first and second waves, which increased with advancing age.

conclusionsModern surveillance systems like GIS can accurately predict the trends and spread patterns during future pandemics. In addition, real-time mapping can help design risk mitigation strategies, thereby preventing the spread to rural areas.

Indexed as

COVID-19Disease OutbreaksGeographic Information SystemsHumansIndiaPandemicsCOVID-19GISMappingSpatial analysis

Identifiers

PMID35811075
PMCPMC9263687

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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.