An index to quantify environmental risk of exposure to future epidemics of the COVID-19 and similar viral agents: Theory and practice

被引:130
作者
Coccia, Mario [1 ]
机构
[1] Natl Res Council Italy, CNR, Coll Carlo Alberto, Via Real Coll 30, I-10024 Turin, Italy
关键词
COVID-19; Coronavirus infections; SARS-CoV-2; Infectious diseases; Air pollution; Wind speed; Density of population; Lung cancer; Public health; Environment and Health; Natural Hazards; Risk Assessment; Urban Environment; OUTBREAK; IMPACTS;
D O I
10.1016/j.envres.2020.110155
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the presence of the novel Coronavirus Disease (COVID-19) and other new viral agents, one of the fundamental problems in science is the evaluation of environmental and social weaknesses of cities/regions to the exposure of infectious diseases for preventing and/or containing new COVID-19 outbreaks and the diffusion of other viral agents that generate a negative impact on public health and economy of countries. The current monitoring of transmission dynamics of infectious diseases is mainly based on reproduction number (R-0) and fatality rates. However, this approach is a real-time monitoring of transmission dynamics for mitigating the numbers of COVID-19 related infected individuals and deaths. Reproduction number does not provide information to cope with future epidemics or pandemics. The main goal of this study is to propose the Index c (as contagions) that quantifies, ex-ante, the environmental risk of exposure of cities/regions to future epidemics of the COVID-19 and similar vital agents. This Index c synthetizes environmental, demographic, climatological and health risk factors of cities/regions that indicate their exposure to infectious diseases. Index c has a range from 1 (environmental and social weakness of urban areas leading to high levels of exposure to infectious diseases) to 0 (environment that reduces the risk of exposure to infectious diseases in society). The statistical evidence here, applied on case study of Italy, seems in general to support the predictive capacity of the Index c as a particularly simple but superior indicator in detecting the global correlation between potential risk of exposure of cities/regions to infectious diseases and actual risk given by infected individuals and deaths of the COVID-19. The Index c can support a proactive environmental strategy to help policymakers to prevent future pandemics similar to the COVID-19.
引用
收藏
页数:7
相关论文
共 29 条
[1]   Long-term exposure to ambient PM2.5 and impacts on health in Rome, Italy [J].
Amoatey, Patrick ;
Sicard, Pierre ;
de Marco, Alessandra ;
Khaniabadi, Yusef Omidi .
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH, 2020, 8 (02) :531-535
[2]  
[Anonymous], 2020, SCI DATA PRINCIPAL F
[3]   First data analysis about possible COVID-19 virus airborne diffusion due to air particulate matter (PM): The case of Lombardy (Italy) [J].
Bontempi, E. .
ENVIRONMENTAL RESEARCH, 2020, 186
[4]   Commercial exchanges instead of air pollution as possible origin of COVID-19 initial diffusion phase in Italy: More efforts are necessary to address interdisciplinary research [J].
Bontempi, Elza .
ENVIRONMENTAL RESEARCH, 2020, 188
[5]   Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach [J].
Bontempi, Elza ;
Vergalli, Sergio ;
Squazzoni, Flaminio .
ENVIRONMENTAL RESEARCH, 2020, 188
[6]  
Center for Systems Science and Engineering, 2020, COR COVID 19 GLOB CA
[7]   COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy [J].
Chintalapudi, Nalini ;
Battineni, Gopi ;
Sagaro, Getu Gamo ;
Amenta, Francesco .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 96 :327-333
[8]  
Coccia M., 2016, The Journal of Economic Asymmetries, V14, P168, DOI [10.1016/j.jeca.2016.06.001., DOI 10.1016/J.JECA.2016.06.001]
[9]  
Coccia M., 2018, J. Econ. Bibliogr, V5, P29, DOI [DOI 10.1453/JEB.V5I1.1578, DOI 10.1453/jeb.v5i1.1578]
[10]  
Coccia M., 2017, J SOCIAL ADM SCI, V4, P291, DOI DOI 10.1453/JSAS.V4I4.1518