Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
- PMID: 40477092
- PMCID: PMC7327483
- DOI: 10.1007/s41133-020-00037-9
Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India
Abstract
The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe. Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day. The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work. The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India. It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more. The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days. The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission. The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing.
Keywords: ARIMA; COVID-19; Forecasting; Machine Learning; Old age population; Prediction.
© Springer Nature Singapore Pte Ltd. 2020.
Conflict of interest statement
Conflict of interestWe (Authors) have no conflict of interest regarding manuscript entitled “Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India”.
Figures








Similar articles
-
Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study.Lancet Infect Dis. 2020 Jul;20(7):793-802. doi: 10.1016/S1473-3099(20)30230-9. Epub 2020 Apr 2. Lancet Infect Dis. 2020. PMID: 32247326 Free PMC article.
-
Impact of lockdown to control over Novel Coronavirus and COVID-19 in India.J Family Med Prim Care. 2020 Oct 30;9(10):5142-5147. doi: 10.4103/jfmpc.jfmpc_692_20. eCollection 2020 Oct. J Family Med Prim Care. 2020. PMID: 33409178 Free PMC article.
-
Laboratory preparedness for SARS-CoV-2 testing in India: Harnessing a network of Virus Research & Diagnostic Laboratories.Indian J Med Res. 2020 Feb & Mar;151(2 & 3):216-225. doi: 10.4103/ijmr.IJMR_594_20. Indian J Med Res. 2020. PMID: 32242875 Free PMC article.
-
Novel coronavirus pandemic: A clinical overview.S Afr Fam Pract (2004). 2020 Jun 26;62(1):e1-e5. doi: 10.4102/safp.v62i1.5123. S Afr Fam Pract (2004). 2020. PMID: 32633997 Free PMC article. Review.
-
The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China.J Autoimmun. 2020 May;109:102434. doi: 10.1016/j.jaut.2020.102434. Epub 2020 Mar 3. J Autoimmun. 2020. PMID: 32143990 Free PMC article. Review.
References
-
- Adhikari SP, Meng S, Wu YJ, Mao YP, Ye RX, Wang QZ, Sun C, Sylvia S, Rozelle S, Raat H, Zhou H (2020) Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infect Dis Poverty 9(1):1–12. 10.1186/s40249-020-00646-x - PMC - PubMed
-
- Agarwal A, Lubet A, Mitgang E, Mohanty S, Bloom DE (2020) Population aging in india: facts, issues, and options, issue 10162, pp 289–311. 10.1007/978-981-10-0230-4_13
-
- Census-India (2011) https://censusindia.gov.in/2011-Common/CensusData2011.html. Accessed 15 Apr 2020
LinkOut - more resources
Full Text Sources
Miscellaneous