Urban Sprawl of Covid-19 Epidemic in India: Lessons in the First Semester
Gupta, R.; Dhamija, R. K.; Gaur, K.; Khedar, R. S.
Show abstract
Background & ObjectiveThe covid-19 epidemic is rapidly escalating in India and unlike developed countries there is no evidence of plateau or decline in the past 6 months. To evaluate association of state-level sociodemographics with incident cases and deaths we performed an ecological study. MethodsPublicly available data sources were used. Absolute number of covid-19 cases and deaths were obtained and cases and deaths/million in each state calculated from February to July 2020. To assess association of state level disease burden with sociodemographic variables (urbanization, human development, healthcare availability, healthcare access and quality etc.) we determined Pearsons correlation and logarithmic trends. ResultsCovid-19 in India has led to >2,000,000 cases and 45,000 deaths by end July 2020. There is large variation in state-level cases/million ranging from 7247 (Delhi), 3728 (Goa) and 3427 (Maharashtra) to less than 300/million in a few. Deaths/million range from 212 (Delhi), 122 (Maharashtra) and 51 (Tamilnadu) to 2 in north-eastern states. Most of the high burden states (except Delhi) are reporting increasing burden and deaths with the largest increase in July 2020. There is a significant positive correlation of urbanization with covid-19 cases (r=0.65, R2=0.35) and deaths (r=0.60, R2=0.28) and weaker correlation with other sociodemographic variables. From March to July 2020, stable R2 value for urbanization is observed with cases (0.37 to 0.39) while it is increasing for deaths (0.10 to 0.28). ConclusionsCovid-19 epidemic is escalating in India and cases as well as deaths are significantly greater in more urbanized states. Prevention, control and treatment should focus on urban health systems.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conflict driven displacement and child health: Evidence from Jordan 95%
- Does Education Sculpt Healthcare Choices? Exploring Factors Influencing Healthcare Utilization Among Female Youths in Eight Low and Lower-Middle-Income Countries 95%
- Generalized Linear Mixed Model Approach for Analyzing Water, Sanitation, and Hygiene Facilities in Bangladesh: Insights from BDHS 2022 Data 95%
Similar papers in this journal
- Serological prevalence of SARS-CoV-2 antibody among children and young age (between age 2-17 years) group in India: An interim result from a large multi-centric population-based seroepidemiological study 96%
- Experience from a COVID-19 screening centre of a tertiary care institution: A retrospective hospital-based study 95%
- Management of mild COVID-19: Policy implications of initial experience in India 93%
Similar papers in this journal
- Primary care access and feasibility of Spatial Accessibility Index (SAI) in assessing primary care in rural Sri Lanka 95%
- Prevalence and associated factors of gender-based violence for female: Evidence from school students in Nepal- a cross sectional study 94%
- Impact of school closures and reopening on COVID-19 caseload in 6 cities of Pakistan: An Interrupted Time Series Analysis 93%
Similar papers in this journal
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 94%
- Protocol for a prospective, hospital-based registry of pregnant women with SARS-CoV-2 infection in India: PregCovid Registry study 93%
- The intersectional role of paternal gender-equitable attitudes and maternal empowerment on child undernutrition in India 93%
Similar papers in this journal
- Assessing Long-Lasting Insecticidal Net Coverage, Access, and Utilization: Insights from Malaria-Endemic Regions and Rohingya Camps in Bangladesh 94%
- SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021 93%
- Burden of COVID-19 and Case Fatality Rate in Pune India: An Analysis of First and Second Wave of the Pandemic 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.