Ecosystem, Health, Socio-economic and Mobility Factors for COVID-19 Mortality

Main Article Content

Jorge Goncalves

Abstract

Epidemiological literature identifies a variety of factors that can affect the mortality of COVID-19. We use a sample of 42 countries and 46 States of the US, and analyse 19 factors that could affect mortality. The factors that were found significant were the following: Population in nursing homes; pollution; prevalence of lung cancers, hypertension and diabetes; median age of population and percentage of the population above 65 years old; air traffic; population concentration; mean temperature; and UV radiation. Regarding mobility policies, quarantines to passengers arriving and suspending the entry of air passengers were found to reduce mortality; community mobility reduction in public spaces was not found to reduce mortality and the influx of people in the healthcare system in the following weeks to the outbreak.

Keywords:
COVID-19 mortality, ecosystem; health, socio-economic, mobility factors

Article Details

How to Cite
Goncalves, J. (2020). Ecosystem, Health, Socio-economic and Mobility Factors for COVID-19 Mortality. Journal of Advances in Medicine and Medical Research, 32(16), 26-38. https://doi.org/10.9734/jammr/2020/v32i1630626
Section
Original Research Article

References

Wei-jie Guan W, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708-1720.

Lauer S, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application. Ann Intern Med; 2020.

Instituto Superiore de Sanitat. Characteristics of COVID-19 patients dying in Italy Report based on available data on; 2020.

WHO. Regional Office for Europe COVID-19 weekly surveillance report - Week 13, March 23 - March 29. WHO; 2020.

State of Global Air. State of Global Air; 2019.

America Health Rankings. Air Pollution; 2020.

Wu X, et al. Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study. Medrxiv; 2020.

Numbeo. Pollution Index by City 2020. Numbeo Website; 2020.

Radbin Ray Haneh, et al. The influence of drinking-water pollution with heavy metal on the expression of IL-4 and IFN-γ in mice by real-time polymerase chain reaction. Cytotechnology. 2020;66,5(2014):769-77.

CDC. People who are at higher risk for severe illness. CDC Website; 2020.

WHO. Exposure to solar ultraviolet (UV) radiation. WHO Website; 2004.

Tatlovich Z, et al. A comparison of thiessen polygon, kriging, and spline models of potential UV exposure. Cartography and Geographic Information Science. 2006;33(3):217-237.

Maglio D, et al. Sunlight effects on immune system: Is there something else in addition to UV-induced immunosuppression? Biomed Research International; 2016.

Lytle C, Sagripanti J. Predicted inactivation of viruses of relevance to biodefense by solar radiation. Journal of Virology. 2005;79(22):14244–14252.

Time and Date. World Temperatures. Time and Date Website; 2020.

Chan K, et al. The effects of temperature and relative humidity on the viability of the SARS coronavirus. Advances in Virology; 2011.

Sajadi M, et al. Temperature and latitude analysis to predict potential spread and seasonality for COVID-19. SSRN Electronic Journal; 2020.

CSG Networks. Countries, capitals, latitude and longitude table. CSG Networks Website; 2020.

Xfront. U.S. States. Xfront Website; 2020.

Passaro A, et al. Testing for COVID-19 in lung cancer patients. Annals of Oncology; 2020.

State of Childhood Obesity. Percent of adults with hypertension; 2020.

Mills K, et al. Global disparities of hypertension prevalence and control: A systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50.

World Bank. Diabetes Prevalence; 2020.

State of Childhood Obesity. Percentage of adults with diabetes; 2020.

World Bank. Population ages 65 and above (% of total population). World Bank Website; 2020.

PRB. Which U.S. States have the oldest populations. PRB Website; 2020.

Wikipedia. List of countries by median age. Wikipedia Website; 2020.

Wikipedia. List of U.S. States and territories by median age. Wikipedia website; 2020.

Numbeo. Health care index ranking by country. Numbeo Website; 2020.

Wallet Hub. Best and worst states for healthcare. Wallet Hub Website; 2020.

World Bank. Current health expenditure. World Bank Website; 2020.

KFF. Healthcare expenditures per capita 2014 by State of residence. KFF Website; 2020.

Wikipedia. List of OECD regions by GDP (PPP) per capita. Wikipedia Website; 2020.

World by Map. Air traffic passengers. World by Map Website; 2020.

Federal Aviation Administration. Commerical service airport (Rank Order) based on Calendar Year 2018. Federal Aviation Administration; 2019.

Wikipedia. Urbanization by country. Wikipedia Website; 2020.

Wikipedia. Urbanization in the United States. Wikipedia Website; 2020.

Wikipedia. List of cities proper by population density. Wikipedia Website; 2020.

Wikipedia. List of United States cities by population density. Wikipedia Website; 2020.

OECD. Long term care resources and utilization; 2020.

CDC. Nursing homes, beds, residents and occupancy rates, by state: United States, selected years 1995–2014; 2020.

International Organization for Migration. Mobility impacts of COVID-19. International Organization for Migration; 2020.

Google. Google Community Mobility Reports COVID-19. Google Website; 2020.

Ourworldindata. To understand the global pandemic, we need global testing – the Our World in Data COVID-19 Testing dataset. Ourworldindata Website; 2020.

Business Insider. As many as half of Europe's COVID-19 deaths were people in long-term care facilities. Business Insider website; 2020.