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      Evaluating the risk of SARS‐CoV‐2 transmission to bats in the context of wildlife research, rehabilitation, and control

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          Abstract

          Preventing wildlife disease outbreaks is a priority for natural resource agencies, and management decisions can be urgent, especially in epidemic circumstances. With the emergence of SARS‐CoV‐2, wildlife agencies were concerned whether the activities they authorize might increase the risk of viral transmission from humans to North American bats, but had a limited amount of time in which to make decisions. We describe how decision analysis provides a powerful framework to analyze and reanalyze complex natural resource management problems as knowledge evolves. Coupled with expert judgment and avenues for the rapid release of information, risk assessment can provide timely scientific information for evolving decisions. In April 2020, the first rapid risk assessment was conducted to evaluate the risk of transmission of SARS‐CoV‐2 from humans to North American bats. Based on the best available information and relying heavily on expert judgment, the risk assessment found a small possibility of transmission during summer work activities. Following that assessment, additional knowledge and data emerged, such as bat viral challenge studies, that further elucidated the risks of human‐to‐bat transmission and culminated in a second risk assessment in the fall of 2020. We updated the first SARS‐CoV‐2 risk assessment with new management alternatives and new estimates of little brown bat ( Myotis lucifugus) susceptibility, using findings from the fall 2020 assessment and other empirical studies. We found that new knowledge led to an 88% decrease in the median number of bats estimated to be infected per 1,000 encountered when compared to earlier results. The use of facemasks during, or a negative COVID‐19 test or vaccination prior to, bat encounters further reduced those risks. Using a combination of decision analysis, expert judgment, rapid risk assessment, and efficient modes of information distribution, we provided timely science‐based support to decision makers for summer bat work in North America.

          Abstract

          We updated a SARS‐CoV‐2 risk assessment with new management alternatives and new estimates of bat susceptibility. New information led to an 88% decrease in the median number of little brown bats estimated to be infected per 1,000 encountered when compared to earlier results. The use of facemasks, a negative COVID‐19 test, or vaccination further reduced risks. Together, decision analysis, expert judgment, and rapid risk assessment can provide timely science to support decision makers. Photo: USGS National Wildlife Health Center, Public Domain.

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          An interactive web-based dashboard to track COVID-19 in real time

          In December, 2019, a local outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and was quickly determined to be caused by a novel coronavirus, 1 namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has since spread to every province of mainland China as well as 27 other countries and regions, with more than 70 000 confirmed cases as of Feb 17, 2020. 2 In response to this ongoing public health emergency, we developed an online interactive dashboard, hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA, to visualise and track reported cases of coronavirus disease 2019 (COVID-19) in real time. The dashboard, first shared publicly on Jan 22, illustrates the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries. It was developed to provide researchers, public health authorities, and the general public with a user-friendly tool to track the outbreak as it unfolds. All data collected and displayed are made freely available, initially through Google Sheets and now through a GitHub repository, along with the feature layers of the dashboard, which are now included in the Esri Living Atlas. The dashboard reports cases at the province level in China; at the city level in the USA, Australia, and Canada; and at the country level otherwise. During Jan 22–31, all data collection and processing were done manually, and updates were typically done twice a day, morning and night (US Eastern Time). As the outbreak evolved, the manual reporting process became unsustainable; therefore, on Feb 1, we adopted a semi-automated living data stream strategy. Our primary data source is DXY, an online platform run by members of the Chinese medical community, which aggregates local media and government reports to provide cumulative totals of COVID-19 cases in near real time at the province level in China and at the country level otherwise. Every 15 min, the cumulative case counts are updated from DXY for all provinces in China and for other affected countries and regions. For countries and regions outside mainland China (including Hong Kong, Macau, and Taiwan), we found DXY cumulative case counts to frequently lag behind other sources; we therefore manually update these case numbers throughout the day when new cases are identified. To identify new cases, we monitor various Twitter feeds, online news services, and direct communication sent through the dashboard. Before manually updating the dashboard, we confirm the case numbers with regional and local health departments, including the respective centres for disease control and prevention (CDC) of China, Taiwan, and Europe, the Hong Kong Department of Health, the Macau Government, and WHO, as well as city-level and state-level health authorities. For city-level case reports in the USA, Australia, and Canada, which we began reporting on Feb 1, we rely on the US CDC, the government of Canada, the Australian Government Department of Health, and various state or territory health authorities. All manual updates (for countries and regions outside mainland China) are coordinated by a team at Johns Hopkins University. The case data reported on the dashboard aligns with the daily Chinese CDC 3 and WHO situation reports 2 for within and outside of mainland China, respectively (figure ). Furthermore, the dashboard is particularly effective at capturing the timing of the first reported case of COVID-19 in new countries or regions (appendix). With the exception of Australia, Hong Kong, and Italy, the CSSE at Johns Hopkins University has reported newly infected countries ahead of WHO, with Hong Kong and Italy reported within hours of the corresponding WHO situation report. Figure Comparison of COVID-19 case reporting from different sources Daily cumulative case numbers (starting Jan 22, 2020) reported by the Johns Hopkins University Center for Systems Science and Engineering (CSSE), WHO situation reports, and the Chinese Center for Disease Control and Prevention (Chinese CDC) for within (A) and outside (B) mainland China. Given the popularity and impact of the dashboard to date, we plan to continue hosting and managing the tool throughout the entirety of the COVID-19 outbreak and to build out its capabilities to establish a standing tool to monitor and report on future outbreaks. We believe our efforts are crucial to help inform modelling efforts and control measures during the earliest stages of the outbreak.
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            On Information and Sufficiency

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              Is Open Access

              Transmission of SARS-CoV-2 on mink farms between humans and mink and back to humans

              Two-way transmission on mink farms Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a zoonotic virus—one that spilled over from another species to infect and transmit among humans. We know that humans can infect other animals with SARS-CoV-2, such as domestic cats and even tigers in zoos. Oude Munnink et al. used whole-genome sequencing to show that SARS-CoV-2 infections were rife among mink farms in the southeastern Netherlands, all of which are destined to be closed by March 2021 (see the Perspective by Zhou and Shi). Toward the end of June 2020, 68% of mink farm workers tested positive for the virus or had antibodies to SARS-CoV-2. These large clusters of infection were initiated by human COVID-19 cases with viruses that bear the D614G mutation. Sequencing has subsequently shown that mink-to-human transmission also occurred. More work must be done to understand whether there is a risk that mustelids may become a reservoir for SARS-CoV-2. Science, this issue p. 172; see also p. 120
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                Author and article information

                Contributors
                jcook@usgs.gov
                Journal
                10.1002/(ISSN)2328-5540
                WSB
                Wildlife Society Bulletin
                John Wiley and Sons Inc. (Hoboken )
                2328-5540
                20 April 2022
                20 April 2022
                : e1262
                Affiliations
                [ 1 ] U.S. Geological Survey Eastern Ecological Science Center at the Patuxent Research Refuge Laurel MD 20708 USA
                [ 2 ] U.S. Geological Survey Eastern Ecological Science Center at the S.O. Conte Research Laboratory Turners Falls MA 01376 USA
                [ 3 ] U.S. Fish and Wildlife Service Hadley MA 01035 USA
                [ 4 ] U.S. Geological Survey National Wildlife Health Center Madison WI 53711 USA
                Author notes
                [*] [* ] Correspondence: Jonathan D. Cook, U.S. Geological Survey Eastern Ecological Science Center, Laurel, MD 20708, USA.

                Email: jcook@ 123456usgs.gov

                Author information
                https://orcid.org/0000-0001-7000-8727
                https://orcid.org/0000-0003-4401-6496
                https://orcid.org/0000-0002-2762-947X
                https://orcid.org/0000-0002-9910-6125
                https://orcid.org/0000-0002-8081-536X
                Article
                WSB1262
                10.1002/wsb.1262
                9111074
                53e4e36d-1f7b-4c44-a32a-c664b89718c2
                © Published 2022. This article is a U.S. Government work and is in the public domain in the USA.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 15 February 2022
                : 28 May 2021
                : 24 February 2022
                Page count
                Figures: 6, Tables: 1, Pages: 16, Words: 8059
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.6 mode:remove_FC converted:17.05.2022

                bats,expert judgment,risk analysis,sars‐cov‐2,structured decision making,zoonosis

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