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      Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics

      editorial
      1 , , 2
      International Journal of Health Geographics
      BioMed Central
      COVID-19, SARS-CoV-2, GIS

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          Abstract

          In December 2019, a new virus (initially called ‘Novel Coronavirus 2019-nCoV’ and later renamed to SARS-CoV-2) causing severe acute respiratory syndrome (coronavirus disease COVID-19) emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world, despite China’s massive efforts to contain the disease within Hubei. As with the original SARS-CoV epidemic of 2002/2003 and with seasonal influenza, geographic information systems and methods, including, among other application possibilities, online real-or near-real-time mapping of disease cases and of social media reactions to disease spread, predictive risk mapping using population travel data, and tracing and mapping super-spreader trajectories and contacts across space and time, are proving indispensable for timely and effective epidemic monitoring and response. This paper offers pointers to, and describes, a range of practical online/mobile GIS and mapping dashboards and applications for tracking the 2019/2020 coronavirus epidemic and associated events as they unfold around the world. Some of these dashboards and applications are receiving data updates in near-real-time (at the time of writing), and one of them is meant for individual users (in China) to check if the app user has had any close contact with a person confirmed or suspected to have been infected with SARS-CoV-2 in the recent past. We also discuss additional ways GIS can support the fight against infectious disease outbreaks and epidemics.

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          Most cited references4

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          Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors.

          We analyzed misinformation about Ebola circulating on Twitter and Sina Weibo, the leading Chinese microblog platform, at the outset of the global response to the 2014-2015 Ebola epidemic to help public health agencies develop their social media communication strategies.
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            Descriptive review of geographic mapping of severe acute respiratory syndrome (SARS) on the Internet

            From geographic mapping at different scales to location-based alerting services, geoinformatics plays an important role in the study and control of global outbreaks like severe acute respiratory syndrome (SARS). This paper reviews several geographic mapping efforts of SARS on the Internet that employ a variety of techniques like choropleth rendering, graduated circles, graduated pie charts, buffering, overlay analysis and animation. The aim of these mapping services is to educate the public (especially travellers to potentially at-risk areas) and assist public health authorities in analysing the spatial and temporal trends and patterns of SARS and in assessing/revising current control measures.
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              Using HealthMap to Analyse Middle East Respiratory Syndrome (MERS) Data.

              In this paper, a web-based disease surveillance platform known as HealthMap is used to retrieve and analyze data pertaining to the Middle East Respiratory Syndrome (MERS) within the geographical confinements of the Arab World and North African countries. An account was opened with HealthMap to gain access to data related to MERS for the time-period 9 September 2015 to 7 March 2015. HealthMap accumulates and assesses outbreak data from a range of sources, this includes news media (Google News (Arabic)), validated official alerts (WHO) and expert-curated accounts (ProMED). Search terms "MERS" and "Coronavirus" were used to search HealthMap for relevant alerts pertaining to MERS. The search terms were geographically limited to the Arab World and North African countries. Our results show that the prevalence of MERS still remains to be the highest in Saudi Arabia, however, between 9 September 2015 and 7 March 2015 there has been a slight overall trend in decreasing number of MERS related alerts within Saudi Arabia and the Arab world. All countries other than Saudi Arabia such as, UAE, Tunisia, Qatar, Oman, Lebanon, Kuwait, Jordan and Egypt together amounted for only 25.6% (n=214) of total MERS alerts (n=837). Our findings show that the rise in the aggregated contribution of internet based participatory surveillance systems for tracking non-communicable diseases such as MERS has aided in improving the accuracy, sensitivity and timeliness for monitoring disease outbreaks. Use of resources such as HealthMap can aid in the timely assessment of risk factors, vaccination development initiatives, prevention strategies and measured allocation of healthcare resources while running at a low cost with greater flexibility and increased scalability compared to isolated diseases surveillance systems.

                Author and article information

                Contributors
                mnkboulos@mail.sysu.edu.cn
                EGeraghty@esri.com
                Journal
                Int J Health Geogr
                Int J Health Geogr
                International Journal of Health Geographics
                BioMed Central (London )
                1476-072X
                11 March 2020
                11 March 2020
                2020
                : 19
                : 8
                Affiliations
                [1 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, School of Information Management, , Sun Yat-sen University, ; East Campus, Guangzhou, 510006 Guangdong China
                [2 ]GRID grid.467338.d, ISNI 0000 0004 0635 7596, Esri (Environmental Systems Research Institute), ; 380 New York St, Redlands, CA 92373 USA
                Article
                202
                10.1186/s12942-020-00202-8
                7065369
                32160889
                b133b166-14d1-4db4-838a-d3fc3599075a
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 February 2020
                : 26 February 2020
                Categories
                Editorial
                Custom metadata
                © The Author(s) 2020

                Public health
                covid-19,sars-cov-2,gis
                Public health
                covid-19, sars-cov-2, gis

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