Author(s): Ponnambily Chandy, Grace Rebekah J, Angeline Jeya Rani K., Esther Kanthi. K, Prasannakumari Sathianathan., K. Imnainla Walling, Anmery Varghese Pulikkottil

Email(s): ponnambily.ponnu@gmail.com

DOI: 10.52711/2454-2660.2022.00023   

Address: Ponnambily Chandy1, Grace Rebekah J2, Angeline Jeya Rani K.3, Esther Kanthi. K4, Prasannakumari Sathianathan.5, K. Imnainla Walling6, Anmery Varghese Pulikkottil7
1Assistant Professor, Department of Community Health Nursing, Chettinad College of Nursing, Chettinad Academy of Research and Education, Kanchipuram, Tamil Nadu, India.
2Lecturer, Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India.
3Assistant Professor, College of Nursing, Christian Medical College, Vellore, Tamil Nadu, India.
4Assistant Professor, Paediatric of Nursing, Christian Medical College, Vellore, Tamil Nadu, India.
5Neurology Nurse, Department of Neurology, Luton and Dunstable University Hospital, Bedfordshire, UK.
6Ex-Lecturer, Christian Institute of Health Sciences and Research (CIHSR), Dimapur, Nagaland.
7Acute Nurse, General Medicine, Mater Hospital, Belfast, United Kingdom.
*Corresponding Author

Published In:   Volume - 10,      Issue - 2,     Year - 2022


ABSTRACT:
Background and objectives: As we are about to enter a year of COVID 19 pandemic, the investigators attempted to pool the COVID 19 cumulative case numbers of 38th epidemiological week and demographic data of all affected countries and looked for any significant association between them. Methods: A cross-sectional infodemiological approach was selected to collect the cumulative data of 156 affected countries from the dashboards last updated on September 20th, 2020. Results: Countries like India, USA, Brazil and Russia were reported with more than 1 million confirmed cases of COVID 19, USA and Brazil had more than 100 K total reported deaths due to COVID-19, and still in India, USA, Brazil, Russia, Mexico, UK, France, Colombia, Spain, Argentina and Peru had more than 100 K active cases of COVID 19. It is shown that there is a significant association between the total population and the continents of the affected countries and the global COVID 19 distribution including the proportion of tests per 100 population (p<0.05). It is also shown that the majority of European countries conducted >10 tests per 100 population (p<0.05) whereas, <10 tests per 100 population were conducted in African countries (p<0.05). Interpretation and conclusions: Overall, the findings give a cross-sectional glimpse of cumulative global COVID 19 distribution data, which would help the policymakers of the affected countries to evaluate the ongoing COVID 19 preparedness and response measures to come out from the pandemic.


Cite this article:
Ponnambily Chandy, Grace Rebekah J, Angeline Jeya Rani K., Esther Kanthi. K, Prasannakumari Sathianathan., K. Imnainla Walling, Anmery Varghese Pulikkottil. Global COVID 19 distribution and its association with the selected demographic variables of the countries: A Cross-sectional Infodemiological approach at 10th month of Pandemic. International Journal of Nursing Education and Research. 2022; 10(2):99-3. doi: 10.52711/2454-2660.2022.00023

Cite(Electronic):
Ponnambily Chandy, Grace Rebekah J, Angeline Jeya Rani K., Esther Kanthi. K, Prasannakumari Sathianathan., K. Imnainla Walling, Anmery Varghese Pulikkottil. Global COVID 19 distribution and its association with the selected demographic variables of the countries: A Cross-sectional Infodemiological approach at 10th month of Pandemic. International Journal of Nursing Education and Research. 2022; 10(2):99-3. doi: 10.52711/2454-2660.2022.00023   Available on: https://ijneronline.com/AbstractView.aspx?PID=2022-10-2-2


REFERENCES:
1.    Frost WH. Statistics of influenza morbidity. Public Health Rep 1920; 35: 584–97.
2.    Burnet F, Clark E. Influenza: a survey of the last 50 years in the light of modern work on the virus of epidemic influenza. Melbourne: MacMillan; 1942.
3.    Crosby A America's forgotten pandemic. Cambridge (UK): Cambridge University Press; 1989.
4.    Patterson KD, Pyle GF. The geography and mortality of the 1918 influenza pandemic. Bull Hist Med 1991; 65: 4–21.
5.    Johnson NPAS, Mueller J. Updating the accounts: global mortality of the 1918–1920 "Spanish" influenza pandemic. Bull Hist Med 2002; 76: 105–15.
6.    Taubenberger JK, Morens DM. 1918 Influenza: the mother of all pandemics. Emerg Infect Dis 2006; 12(1): 15-22.
7.    Cherry JD, Krogstad P. SARS: the first pandemic of the 21st century. Pediatr Res 2004; 56(1): 1-5.
8.    de Groot RJ, Baker SC, Baric RS, et al. Middle East respiratory syndrome coronavirus (MERS-CoV): announcement of the Coronavirus Study Group. J Virol 2013; 87(14): 7790-7792.
9.    WHO Emergencies preparedness, response: pneumonia of unknowncause—China. Available from: https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-china/en/, accessed on October 8, 2020.
10.    WHO Novel coronavirus (2019-nCoV): situation report—1. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf., accessed on October 8, 2020.
11.    WHO Director-General's opening remarks at the media briefing on COVID-19. Available from: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020, accessed on October 8, 2020.
12.    WHO Coronavirus disease (COVID-19): situation report—weekly-epi-update-6. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200921-weekly-epi-update-6.pdf?sfvrsn=d9cf9496_6, accessed on October 8, 2020.
13.    WHO Coronavirus Disease (COVID-19) Dashboard. Available from: https://covid19.who.int/, accessed on October 8, 2020.
14.    WHO Health statistics and information systems. Available from: https://www.who.int/healthinfo/global_burden_disease/definition_regions/en/, accessed on October 8, 2020.
15.    Worldometer. COVID-19 coronavirus pandemic. Available from: https://www.worldometers.info/coronavirus/, accessed on October 8, 2020.
16.    Jordan E Epidemic influenza: a survey. Chicago: American Medical Association; 1927.
17.    Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res 2009; 11(1): e11.
18.    Mavragani A, Ochoa G, Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health Surveill 2019; 5(2): e13439.
19.    Dawood FS, Ricks P, Njie GJ, Daugherty M et al. Observations of the global epidemiology of COVID-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis. The Lancet 2020; 3099 (20): 30581-8.
20.    Sarmadi M, Marufi N, Kazemi Moghaddam V. Association of COVID-19 global distribution and environmental and demographic factors: An updated three-month study. Environ Res 2020; 188: 109748.
21.    World Economic Outlook Database 2019: International Monetary Fund. Available from: https://www.worldometers.info/coronavirus/covid-19-testing/, accessed on September 22, 2020.
22.    World Bank Group Climate change knowledge portal. Available from: https://climateknowledgeportal.worldbank.org/., accessed on September 22, 2020.
23.    United nations development programme 2019: Human Development Reports. Available from: http://hdr.undp.org/en/content/2019-human-development-index-ranking, accessed on September 22, 2020.
24.    Lai CC, Wang CY, Wang YH, Hsueh SC, Ko WC, Hsueh PR. Global epidemiology of coronavirus disease 2019 (COVID-19): disease incidence, daily cumulative index, mortality, and their association with country healthcare resources and economic status. Int J Antimicrob Agents 2020; 55(4): 105946.
25.    Gupta S, Kumar Patel K, Sivaraman S, Mangal A. Global Epidemiology of First 90 Days into COVID-19 Pandemic: Disease Incidence, Prevalence, Case Fatality Rate and Their Association with Population Density, Urbanisation and Elderly Population. Journal of Health Management 2020; 22(2): 117-128.
26.    Lee VJ, Ho M, Kai CW, Aguilera X, Heymann D, Wilder-smith A. Epidemic preparedness in urban settings: New challenges and opportunities. The Lancet Infectious Diseases 2020; 20(5): 527–529.
27.    Rothan AH, Siddapa N. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity 2020; 109: 102433.

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