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The COVID-19 Crisis: Contraction Ris...
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Mallik, Senjuti,
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The COVID-19 Crisis: Contraction Risks and Treatment-Seeking Behavior in the Slum Communities of Kolkata, India /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The COVID-19 Crisis: Contraction Risks and Treatment-Seeking Behavior in the Slum Communities of Kolkata, India // Senjuti Mallik.
作者:
Mallik, Senjuti,
面頁冊數:
1 electronic resource (226 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:
Dissertations Abstracts International86-02B.
標題:
Geography. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31485544
ISBN:
9798384019374
The COVID-19 Crisis: Contraction Risks and Treatment-Seeking Behavior in the Slum Communities of Kolkata, India /
Mallik, Senjuti,
The COVID-19 Crisis: Contraction Risks and Treatment-Seeking Behavior in the Slum Communities of Kolkata, India /
Senjuti Mallik. - 1 electronic resource (226 pages)
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
India suffered terribly from the coronavirus pandemic and has the third-highest number of deaths (533,570) in the world from COVID-19. Kolkata has a population exceeding 14.85 million (2020), and a population density of 24,306 people per square kilometer, with one-third of Kolkata's population living in slums. The slums of the city are most vulnerable because of their high population density, unhygienic living conditions, and lack of access to basic amenities like clean water, sewers, drainage, and timely waste collection. The objectives of this dissertation are twofold: first, to create a quantitative model identifying the likelihood and relative risk of COVID-19 infection among different socio-demographic groups in Kolkata's slums; and second, to explore the health challenges and treatment-seeking behaviors of slum dwellers who contracted COVID-19. This study used a mixed methodology that included both qualitative and quantitative components. To meet the first objective, face-to-face surveys were conducted with 341 residents from three different slums across Kolkata. Statistical analysis was performed on the survey data where ten binary logistic regression models were utilized. These models allowed for a detailed assessment of how various sociodemographic factors influenced the risk of COVID-19 infection. Age and lack of education were identified as significant factors showing a higher likelihood of contracting COVID-19. On the other hand, possessing the knowledge of symptoms like shortness of breath, specific types of occupation (housewives, night guards, students), having the knowledge about transmission modes of the virus, and preventive measures practiced like getting booster shots were negatively associated with the likelihood of being infected. The qualitative analysis reveals widespread hesitancy about testing, lack of trained doctors, severe social stigma unemployment, and other socioeconomic and infrastructural challenges. Policy implications and suggestions for future research have been highlighted based on the findings.
English
ISBN: 9798384019374Subjects--Topical Terms:
524010
Geography.
Subjects--Index Terms:
COVID-19
The COVID-19 Crisis: Contraction Risks and Treatment-Seeking Behavior in the Slum Communities of Kolkata, India /
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India suffered terribly from the coronavirus pandemic and has the third-highest number of deaths (533,570) in the world from COVID-19. Kolkata has a population exceeding 14.85 million (2020), and a population density of 24,306 people per square kilometer, with one-third of Kolkata's population living in slums. The slums of the city are most vulnerable because of their high population density, unhygienic living conditions, and lack of access to basic amenities like clean water, sewers, drainage, and timely waste collection. The objectives of this dissertation are twofold: first, to create a quantitative model identifying the likelihood and relative risk of COVID-19 infection among different socio-demographic groups in Kolkata's slums; and second, to explore the health challenges and treatment-seeking behaviors of slum dwellers who contracted COVID-19. This study used a mixed methodology that included both qualitative and quantitative components. To meet the first objective, face-to-face surveys were conducted with 341 residents from three different slums across Kolkata. Statistical analysis was performed on the survey data where ten binary logistic regression models were utilized. These models allowed for a detailed assessment of how various sociodemographic factors influenced the risk of COVID-19 infection. Age and lack of education were identified as significant factors showing a higher likelihood of contracting COVID-19. On the other hand, possessing the knowledge of symptoms like shortness of breath, specific types of occupation (housewives, night guards, students), having the knowledge about transmission modes of the virus, and preventive measures practiced like getting booster shots were negatively associated with the likelihood of being infected. The qualitative analysis reveals widespread hesitancy about testing, lack of trained doctors, severe social stigma unemployment, and other socioeconomic and infrastructural challenges. Policy implications and suggestions for future research have been highlighted based on the findings.
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