Accessing Covid19 epidemic outbreak in Tamilnadu and the impact of lockdown through epidemiological models and dynamic systems. (February 2021)
- Record Type:
- Journal Article
- Title:
- Accessing Covid19 epidemic outbreak in Tamilnadu and the impact of lockdown through epidemiological models and dynamic systems. (February 2021)
- Main Title:
- Accessing Covid19 epidemic outbreak in Tamilnadu and the impact of lockdown through epidemiological models and dynamic systems
- Authors:
- Rajendran, Sukumar
Jayagopal, Prabhu - Abstract:
- Highlights: Impact of lockdown and social distancing in Tamilnadu through epidemiological models. Accessing district wise clustered spread merged with lockdown and social distancing. Identifying key drivers for rapid reproductive rate through Epidemiological models. Impact of comorbidity conditions in clustered population with specific Gender and Age. Abstract: Despite having a small footprint origin, COVID-19 has expanded its clutches to being a global pandemic with severe consequences threatening the survival of the human species. Despite international communities closing their corridors to reduce the exponential spread of the coronavirus. The need to study the patterns of transmission and spread gains utmost importance at the grass-root level of the social structure. To determine the impact of lockdown and social distancing in Tamilnadu through epidemiological models in forecasting the "effective reproductive number" (R0 ) determining the significance in transmission rate in Tamilnadu after first Covid19 case confirmation on March 07, 2020. Utilizing web scraping techniques to extract data from different online sources to determine the probable transmission rate in Tamilnadu from the rest of the Indian states. Comparing the different epidemiological models (SIR, SIER) in forecasting and assessing the current and future spread of COVID-19. R0 value has a high spike in densely populated districts with the probable flattening of the curve due to lockdown and the rapid riseHighlights: Impact of lockdown and social distancing in Tamilnadu through epidemiological models. Accessing district wise clustered spread merged with lockdown and social distancing. Identifying key drivers for rapid reproductive rate through Epidemiological models. Impact of comorbidity conditions in clustered population with specific Gender and Age. Abstract: Despite having a small footprint origin, COVID-19 has expanded its clutches to being a global pandemic with severe consequences threatening the survival of the human species. Despite international communities closing their corridors to reduce the exponential spread of the coronavirus. The need to study the patterns of transmission and spread gains utmost importance at the grass-root level of the social structure. To determine the impact of lockdown and social distancing in Tamilnadu through epidemiological models in forecasting the "effective reproductive number" (R0 ) determining the significance in transmission rate in Tamilnadu after first Covid19 case confirmation on March 07, 2020. Utilizing web scraping techniques to extract data from different online sources to determine the probable transmission rate in Tamilnadu from the rest of the Indian states. Comparing the different epidemiological models (SIR, SIER) in forecasting and assessing the current and future spread of COVID-19. R0 value has a high spike in densely populated districts with the probable flattening of the curve due to lockdown and the rapid rise after the relaxation of lockdown. As of June 03, 2020, there were 25, 872 confirmed cases and 208 deaths in Tamilnadu after two and a half months of lockdown with minimal exceptions. As on June 03, 2020, the information published online by the Tamilnadu state government the fatality is at 1.8% (208/11345 = 1.8%) spread with those aged (0–12) at 1437 and 13–60 at 21, 899 and 60+ at 2536 the risk of symptomatic infection increases with age and comorbid conditions. … (more)
- Is Part Of:
- Measurement. Volume 169(2021)
- Journal:
- Measurement
- Issue:
- Volume 169(2021)
- Issue Display:
- Volume 169, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 169
- Issue:
- 2021
- Issue Sort Value:
- 2021-0169-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Machine learning -- Covid-19 -- SIR model -- Tamilnadu
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2020.108432 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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