Gender and Occupation Predict Coronavirus Disease 2019 Knowledge, Attitude and Practices of a Cohort of a South Indian State Population | Zendy

Sridhar Amalakanti | Zendy; Kesava Venkata Raman Arepalli | Zendy; Ravi Kiran Koppolu | Zendy

Open Access

Gender and Occupation Predict Coronavirus Disease 2019 Knowledge, Attitude and Practices of a Cohort of a South Indian State Population

Author(s) -

Sridhar Amalakanti,

Kesava Venkata Raman Arepalli,

Ravi Kiran Koppolu

Publication year - 2020

Publication title -

indian journal of medical microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.382

H-Index - 48

eISSN - 1998-3646

pISSN - 0255-0857

DOI - 10.4103/ijmm.ijmm_20_263

Subject(s) - context (archaeology) , multinomial logistic regression , pandemic , observational study , population , government (linguistics) , desk , demography , medicine , public health , logistic regression , cohort , family medicine , psychology , covid-19 , environmental health , disease , geography , nursing , infectious disease (medical specialty) , political science , statistics , sociology , linguistics , philosophy , mathematics , archaeology , pathology , law

Coronavirus disease 2019 (CoViD 19) pandemic has induced the government to initiate strict control measures. Improvements to these measures and shortcomings could be gleaned with the understanding of the knowledge, attitude and practices (KAP) of the public.

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