Evidence map›Paper›PMID 35573570›Full record

ArticleCureus2022

Epidemiological Characteristics of the COVID-19 Pandemic During the First and Second Waves in Chhattisgarh, Central India: A Comparative Analysis.

Pragya Agarwala, Anudita Bhargava, Dharmendra Kumar Gahwai, Sanjay Singh Negi, Priyanka Shukla, Sonal Dayama

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The impact of Covid-19 in Chhattisgarh, India: A descriptive study.Journal of family medicine and primary care · 2024
    Article
  5. Prosthodontic Rehabilitation's Role in Alleviating Anxiety and Depression in Mucormycosis-Induced Maxillectomy Patients Post-COVID-19.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Household Transmission of SARS-CoV-2 in the Third Wave of the Pandemic with Special Reference to Clinico-epidemiological Characteristics.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

6 authors.

Pragya AgarwalaMicrobiology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Anudita BhargavaMicrobiology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Dharmendra Kumar GahwaiDirectorate of Health Services, Government of Chhattisgarh, Raipur, IND.
Sanjay Singh NegiMicrobiology, All India Institute of Medical Sciences, Raipur, Raipur, IND.
Priyanka ShuklaDirectorate of Health & Family Welfare, Government of Chhattisgarh, Raipur, IND.
Sonal DayamaDirectorate of Health Services, Government of Chhattisgarh, Raipur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is a scarcity of reports of comparative analysis between the first and second waves of the pandemic from any part of India. This article aims to comprehensively investigate the epidemiology of coronavirus disease 2019 (COVID-19) during the course of the pandemic in the state of Chhattisgarh, central India. Methodology A comparative epidemiological analysis of the first and second waves of COVID-19 across Chhattisgarh was conducted on the vital parameters of total tests performed, cases diagnosed, age and gender distribution, case fatality ratio (CFR), and mitigation strategy reported by the state and central government health agencies using the data from Indian Council of Medical Research and National Informatics Centre portals. Results The second wave was shorter than the first wave but the absolute number of cases increased by 2.4 times and deaths by 2.7 times. There was a significant increase in cases per million, deaths per million, and test positivity rate. The hospitalization rate and test per case ratio dropped in the second wave from 33 to 20 and from 12.6 to 7.2, respectively. Both infection and deaths were higher among males in both the waves (p < 0.001). CFR increased from 1.2% in the first wave to 1.4% in the second wave (p < 0.001; odds ratio = 1.14 (1.1-1.19)). Increased mortality was seen in all ages except the young (≤20 years) and the old (>60 years). Conclusions The significantly high number of cases and deaths during the second wave provides evidence to undertake preparedness measures for mitigating any future waves. Regular surveillance, monitoring, and analysis of epidemiological data are pertinent for continued situational awareness.

Indexed as

comparative analysiscovid-19epidemiologysurveillancewaves

Identifiers

PMID35573570
PMCPMC9106595

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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.