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  1. Article: The impact of Covid-19 in Chhattisgarh, India: A descriptive study.

    Agrawal, Sanjana / Galhotra, Abhiruchi / Gahwai, Dharmendra / Dayama, Sonal

    Journal of family medicine and primary care

    2024  Volume 13, Issue 1, Page(s) 221–229

    Abstract: Background: India is among the most severely affected countries in the ongoing Covid-19 pandemic, second to the USA. Until July 2022, there were 43 million confirmed Covid-19 cases, with 0.53 million Covid-19 deaths in India. Chhattisgarh, the twelfth- ... ...

    Abstract Background: India is among the most severely affected countries in the ongoing Covid-19 pandemic, second to the USA. Until July 2022, there were 43 million confirmed Covid-19 cases, with 0.53 million Covid-19 deaths in India. Chhattisgarh, the twelfth-highest affected state by Covid-19 disease, has had an enormous mortality toll, with 14,046 deaths by 15
    Materials and methods: All Covid-19 deaths that occurred between September 2021 to February 2022 were line-listed, and family members of all who died in the hospital were interviewed.
    Results: 356 Covid-19 deaths were included in the present study. The top three districts which observed maximum deaths (63.48%) were Raipur (27.53%), Durg (15.45%), and Bilaspur (7.87%). Around 50% of the deceased were of age 65 years or above. The male deaths were twice as compared to the female deaths. The RT-PCR was the most used testing method, followed by RAT. Most of the admissions (58%) were in a government facility. Among the deceased, 60% had one or two associated comorbidities. Hypertension and Diabetes were the most common comorbidity identified. Almost 90% of patients were symptomatic. Breathlessness was the most common symptom. Half of the deceased were not vaccinated. The median expenditure on Covid-19 management was ₹ 50,000 (€ 565.13).
    Conclusion: The deaths in the study were urban-centric. Higher Covid-19 mortality was observed in unvaccinated older men (≥65 years) with one or more comorbidity.
    Language English
    Publishing date 2024-02-08
    Publishing country India
    Document type Journal Article
    ZDB-ID 2735275-4
    ISSN 2278-7135 ; 2249-4863
    ISSN (online) 2278-7135
    ISSN 2249-4863
    DOI 10.4103/jfmpc.jfmpc_1012_23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: An Analysis of COVID-19 Mortality in Chhattisgarh: A Two-Year Study on Demographics, Trends, and Impacts.

    Agrawal, Sanjana / Gahwai, Dharmendra K / Dayama, Sonal / Galhotra, Abhiruchi

    Cureus

    2023  Volume 15, Issue 8, Page(s) e43155

    Abstract: Background The COVID-19 pandemic, caused by the novel coronavirus, has had a profound impact on global health, significantly affecting demographics worldwide. As India's twelfth most affected state, Chhattisgarh has experienced substantial COVID-19- ... ...

    Abstract Background The COVID-19 pandemic, caused by the novel coronavirus, has had a profound impact on global health, significantly affecting demographics worldwide. As India's twelfth most affected state, Chhattisgarh has experienced substantial COVID-19-related fatalities. This study aims to analyze the temporal, geographical, and demographic distribution and trends in COVID-19 mortality reported by the Department of Health and Family Welfare, Chhattisgarh, spanning from the onset of the pandemic until March 2022 (two years). Methods Data about all COVID-19 deaths recorded between March 2020 and March 2022 were collected from the State Surveillance Unit, Department of Health and Family Welfare, Chhattisgarh, and subsequently compiled in a Microsoft Excel sheet (Microsoft, Redmond, Washinton) for analysis. Results A comprehensive dataset of 14,038 deaths was examined during the study period. Of these, 24.5% (3446), 72.2% (10141), and 3.3% (451) occurred in 2020, 2021, and 2022, respectively. The top five districts in Chhattisgarh with the highest COVID-19 mortality rates were identified as follows: 1) Raipur (23.5%), 2) Durg (13.4%), 3) Bilaspur (8.9%), 4) Raigarh (7.05%), and 5) Janjgir Champa (6.25%). The mean age of the deceased individuals was determined to be 55.44 years, with a standard deviation of 15.14 years. Furthermore, the impact of the pandemic was found to affect males compared to females in Chhattisgarh disproportionately. Conclusion Over the two-year study period, three distinct waves of COVID-19 were observed, with the second wave being the most devastating, particularly for the elderly population. Understanding the demographic characteristics and trends in COVID-19 mortality is crucial for implementing targeted public health measures and interventions to mitigate the impact of future infectious disease outbreaks.
    Language English
    Publishing date 2023-08-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.43155
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

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

    Cureus

    2022  Volume 14, Issue 4, Page(s) e24131

    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 ... ...

    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.
    Language English
    Publishing date 2022-04-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.24131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A community based cross-sectional study on impact assessment of COVID-19 on mental health in Central India

    Gahwai, Dharmendra / Dayama, Sonal / Kumar, Ravindra / Chandraker, Sandip Kumar / Mishra, Akanksha / Sahu, Babita / Sharma, Mini

    medRxiv

    Abstract: The current study is a cross-sectional survey that aims to assess the effect of COVID-19 on mental health in rural India. The study was conducted in the Durg district of Chhattisgarh state, and it used the Generalized Anxiety Disorder Assessment (GAD-7), ...

    Abstract The current study is a cross-sectional survey that aims to assess the effect of COVID-19 on mental health in rural India. The study was conducted in the Durg district of Chhattisgarh state, and it used the Generalized Anxiety Disorder Assessment (GAD-7), PHQ-9, and IES-R to evaluate the prevalence of depression, anxiety, and PTSD among the community. Out of 431 participants, 44% were male, with a mean age of 41 years. The study found that 87% of the participants had health insurance, 40% had co-morbidities like hypertension or diabetes, and half of them experienced food shortage and change in income during the pandemic. One-third of the participants experienced death among one or more family members due to the pandemic. The study found that the mean scores of IES-R, GAD-7, and PHQ-9 were 23.59-24.91, 1.50, 2.07, and 1.06-1.58, respectively. Thirty percent of the participants observed some distress, 15% reported depression, and 12% reported anxiety. The adjusted effect of death in the family due to COVID-19 was found to be significantly associated with higher risk of mental distress, whereas education was associated with lower risk of distress. Depression and anxiety were more common among the elderly and less common among individuals living in nuclear families. Scarcity of food and change in income were significantly associated with anxiety. These findings highlight the need for increased support for mental health in rural communities in India, particularly in the face of the COVID-19 pandemic.
    Keywords covid19
    Language English
    Publishing date 2023-08-13
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.08.08.23293808
    Database COVID19

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  5. Article ; Online: A community based cross-sectional study on impact assessment of COVID-19 on mental health in Central India

    Gahwai, Dharmendra Kumar / Dayama, Sonal / Chhabra, Ravindra Kumar / Chandrakar, Sandip Kumar / Mishra, Akanksha / Sahu, Babita / Sharma, Mini

    medRxiv

    Abstract: The current study is a cross-sectional survey that aims to assess the effect of COVID-19 on mental health in rural India. The study was conducted in the Durg district of Chhattisgarh state, and it used the Generalized Anxiety Disorder Assessment (GAD-7), ...

    Abstract The current study is a cross-sectional survey that aims to assess the effect of COVID-19 on mental health in rural India. The study was conducted in the Durg district of Chhattisgarh state, and it used the Generalized Anxiety Disorder Assessment (GAD-7), PHQ-9, and IES-R to evaluate the prevalence of depression, anxiety, and PTSD among the community. Out of 431 participants, 44% were male, with a mean age of 41 years. The study found that 87% of the participants had health insurance, 40% had co-morbidities like hypertension or diabetes, and half of them experienced food shortage and change in income during the pandemic. One-third of the participants experienced death among one or more family members due to the pandemic. The study found that the mean scores of IES-R, GAD-7, and PHQ-9 were 23.59-24.91, 1.50, 2.07, and 1.06-1.58, respectively. Thirty percent of the participants observed some distress, 15% reported depression, and 12% reported anxiety. The adjusted effect of death in the family due to COVID-19 was found to be significantly associated with higher risk of mental distress, whereas education was associated with lower risk of distress. Depression and anxiety were more common among the elderly and less common among individuals living in nuclear families. Scarcity of food and change in income were significantly associated with anxiety. These findings highlight the need for increased support for mental health in rural communities in India, particularly in the face of the COVID-19 pandemic.
    Keywords covid19
    Language English
    Publishing date 2023-08-13
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.08.08.23293808
    Database COVID19

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