Evidence map›Paper›PMID 35721428›Full record

ArticleIJID regions2022

Burden of COVID-19 and case fatality rate in Pune, India: an analysis of the first and second wave of the pandemic.

Prasad Bogam, Aparna Joshi, Sanket Nagarkar, Divyashri Jain, Nikhil Gupte, L S Shashidhara, Joy Merwin Monteiro, Vidya Mave

Abstract read
In one paragraph

Article in IJID regions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  9. Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS).International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  10. Article
  11. Article
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

8 authors.

Prasad BogamBJ Government Medical College-Johns Hopkins University Clinical Research Site (CRS), Pune, India.
Aparna JoshiIndian Institute of Science Education and Research, Pune, India.
Sanket NagarkarIndian Institute of Science Education and Research, Pune, India.
Divyashri JainBJ Government Medical College-Johns Hopkins University Clinical Research Site (CRS), Pune, India.
Nikhil GupteBJ Government Medical College-Johns Hopkins University Clinical Research Site (CRS), Pune, India.
L S ShashidharaIndian Institute of Science Education and Research, Pune, India.
Joy Merwin MonteiroIndian Institute of Science Education and Research, Pune, India.
Vidya MaveBJ Government Medical College-Johns Hopkins University Clinical Research Site (CRS), Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess trends in case incidence and fatality rate between the first and second waves, we analyzed programmatic COVID-19 data from Pune city, an epicenter of COVID-19 cases in India. Method: The trends of cases incidence, time-to-death and case fatality rate (CFR) were analyzed. Poisson regression models adjusted for age and gender were used to determine the independent effect of pandemic waves on mortality. Results: Of 465 192 COVID-19 cases, 162 182 (35%) were reported in the first wave and 4146 (2.5%) deaths, and 275 493 (59%) in the second wave and 3184 (1.1%) deaths ( Conclusion: The burden of COVID-19 cases and deaths was more significant in the second wave; however, the CFR declined as the pandemic progressed. Nevertheless, investigating new therapies and implementing mass vaccination against COVID-19 are urgently needed.

Indexed as

burdencase fatality rateCOVID-19Indiamortalitypandemic waves

Identifiers

PMID35721428
PMCPMC8690685

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.