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      Coronavirus pandemic (COVID-19) and its natural environmental impacts

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          Abstract

          Coronavirus Disease 2019 (COVID-19) is the official name of a respiratory infectious disease caused by a new coronavirus that started first in Wuhan, China, and outspread worldwide with an unexpectedly fast speed. Flights have been canceled worldwide and transportation has been closed nationwide and across international borders. As a consequence, the economic activity has been stopped and stock markets have been dropped. The COVID-19 lockdown has several social and economic effects. Additionally, COVID-19 has caused several impacts on global migration. On the other hand, such lockdown, along with minimal human mobility, has impacted the natural environment somewhat positively. Overall carbon emissions have dropped, and the COVID-19 lockdown has led to an improvement in air quality and a reduction in water pollution in many cities around the globe. A summary of the existing reports of the environmental impacts of COVID-19 pandemic are discussed and the important findings are presented focusing on several aspects: air pollution, waste management, air quality improvements, waste fires, wildlife, global migration, and sustainability.

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          Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

          Summary Background Since Dec 31, 2019, the Chinese city of Wuhan has reported an outbreak of atypical pneumonia caused by the 2019 novel coronavirus (2019-nCoV). Cases have been exported to other Chinese cities, as well as internationally, threatening to trigger a global outbreak. Here, we provide an estimate of the size of the epidemic in Wuhan on the basis of the number of cases exported from Wuhan to cities outside mainland China and forecast the extent of the domestic and global public health risks of epidemics, accounting for social and non-pharmaceutical prevention interventions. Methods We used data from Dec 31, 2019, to Jan 28, 2020, on the number of cases exported from Wuhan internationally (known days of symptom onset from Dec 25, 2019, to Jan 19, 2020) to infer the number of infections in Wuhan from Dec 1, 2019, to Jan 25, 2020. Cases exported domestically were then estimated. We forecasted the national and global spread of 2019-nCoV, accounting for the effect of the metropolitan-wide quarantine of Wuhan and surrounding cities, which began Jan 23–24, 2020. We used data on monthly flight bookings from the Official Aviation Guide and data on human mobility across more than 300 prefecture-level cities in mainland China from the Tencent database. Data on confirmed cases were obtained from the reports published by the Chinese Center for Disease Control and Prevention. Serial interval estimates were based on previous studies of severe acute respiratory syndrome coronavirus (SARS-CoV). A susceptible-exposed-infectious-recovered metapopulation model was used to simulate the epidemics across all major cities in China. The basic reproductive number was estimated using Markov Chain Monte Carlo methods and presented using the resulting posterior mean and 95% credibile interval (CrI). Findings In our baseline scenario, we estimated that the basic reproductive number for 2019-nCoV was 2·68 (95% CrI 2·47–2·86) and that 75 815 individuals (95% CrI 37 304–130 330) have been infected in Wuhan as of Jan 25, 2020. The epidemic doubling time was 6·4 days (95% CrI 5·8–7·1). We estimated that in the baseline scenario, Chongqing, Beijing, Shanghai, Guangzhou, and Shenzhen had imported 461 (95% CrI 227–805), 113 (57–193), 98 (49–168), 111 (56–191), and 80 (40–139) infections from Wuhan, respectively. If the transmissibility of 2019-nCoV were similar everywhere domestically and over time, we inferred that epidemics are already growing exponentially in multiple major cities of China with a lag time behind the Wuhan outbreak of about 1–2 weeks. Interpretation Given that 2019-nCoV is no longer contained within Wuhan, other major Chinese cities are probably sustaining localised outbreaks. Large cities overseas with close transport links to China could also become outbreak epicentres, unless substantial public health interventions at both the population and personal levels are implemented immediately. Independent self-sustaining outbreaks in major cities globally could become inevitable because of substantial exportation of presymptomatic cases and in the absence of large-scale public health interventions. Preparedness plans and mitigation interventions should be readied for quick deployment globally. Funding Health and Medical Research Fund (Hong Kong, China).
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            Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak

            Public health measures were decisive in controlling the SARS epidemic in 2003. Isolation is the separation of ill persons from non-infected persons. Quarantine is movement restriction, often with fever surveillance, of contacts when it is not evident whether they have been infected but are not yet symptomatic or have not been infected. Community containment includes measures that range from increasing social distancing to community-wide quarantine. Whether these measures will be sufficient to control 2019-nCoV depends on addressing some unanswered questions.
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              Mental health services for older adults in China during the COVID-19 outbreak

              Over the past several weeks, the total number of patients with 2019 novel coronavirus disease (COVID-19) and the number of associated deaths has been increasing. Of the deaths caused by COVID-19, most were older adults. 1 China has the largest ageing population globally. In 2017, there were 241 million older adults (>60 years) nationwide, accounting for 17·3% of the total population, 2 of whom around half were empty-nest elderly (ie, without children, or whose children left home and worked elsewhere) with little social support. More than 30 million people were older than 80 years, and more than 40 million required long-term care due to disabilities.2, 3 Mental health problems are common in older Chinese adults (ie, ≥55 years), with the prevalence of depressive symptoms reported to be 23·6% in this population. 4 The rapid transmission of the severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) and high death rate could exacerbate the risk of mental health problems and worsen existing psychiatric symptoms, further impairing their daily functioning and cognition. Public transport in many regions has been suspended to lower the risk of disease transmission; thus, online mental health services have been widely adopted. 5 Older adults have limited access to internet services and smart phones, and as such only a small fraction of older adults can benefit from such service provision. In addition, in most areas of China, clinically stable older adults with psychiatric disorders or their guardians usually need to visit psychiatric outpatient clinics monthly to obtain the maintenance medications. The current mass quarantines and restrictions to public transport have inevitably become a major barrier to access maintenance treatments for this group. The outbreak of COVID-19 has raised great challenges for mental health services for older adults in the community. There seems to be insufficient and inadequate attention paid to this vulnerable population in the recently established crisis psychological services in China. Stakeholders and health policy makers should collaborate to resolve this barrier in order to provide high-quality, timely crisis psychological services to community-dwelling older adults.
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                Author and article information

                Contributors
                mehrbakhshnilashi@duytan.edu.vn
                Journal
                Int J Environ Sci Technol (Tehran)
                Int J Environ Sci Technol (Tehran)
                International Journal of Environmental Science and Technology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1735-1472
                1735-2630
                1 September 2020
                : 1-12
                Affiliations
                [1 ]GRID grid.440785.a, ISNI 0000 0001 0743 511X, School of Energy and Power Engineering, , Jiangsu University, ; Zhenjiang, 212013 China
                [2 ]GRID grid.444918.4, ISNI 0000 0004 1794 7022, Institute of Research and Development, , Duy Tan University, ; Da Nang, 550000 Vietnam
                [3 ]GRID grid.449346.8, ISNI 0000 0004 0501 7602, Department of Business Administration, College of Business and Administration, , Princess Nourah bint Abdulrahman University, ; Riyadh, Saudi Arabia
                [4 ]GRID grid.412113.4, ISNI 0000 0004 1937 1557, Faculty of Information Science and Technology, , Universiti Kebangsaan Malaysia, ; 43600 Bangi, Selangor Malaysia
                Author notes

                Editorial responsibility: Samareh Mirkia.

                Author information
                http://orcid.org/0000-0003-2001-498X
                Article
                2910
                10.1007/s13762-020-02910-x
                7459942
                32904898
                2a483dda-5e06-4067-a80e-34fce76e5f88
                © Islamic Azad University (IAU) 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 21 May 2020
                : 28 July 2020
                : 24 August 2020
                Categories
                Review

                coronavirus pandemic,environmental impacts,air pollution,co2 emissions,economics

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