The API returns daily confirmed cases, daily deceased cases, and daily recovered cases as time-series data. Source: MicrosoftĬOVID19INDIA API – The COVID19INDIA API is a coronavirus tracker for cases in India. The Bing COVID-19 Data API is the source for a live map tracker from Microsoft Bing. The API is used as a source for a live map tracker from Microsoft Bing. Data is sourced from the Centers for Disease Control and Prevention, World Health Organization, and the European Centre for Disease Prevention and Control. The data is updated multiple times a day.īing COVID-19 Data – The Bing COVID-19 Data API provides total confirmed cases, deaths, and recoveries by country. This API retrieves data by country including population, number of cases confirmed, recovered, critical cases, deaths, recovered per death ratio, cases per million population, and more. Department of Health & Human Services, The National Health Commission of the People’s Republic of China, The European Centre for Disease Prevention and Control, and China CDC Weekly. Data is sourced from the official Spanish government daily reports.Ībout Corona Covid-19 – The About Corona Covid-19 API provides statistics via REST API from The World Health Organization Situation Reports, JHU CSSE, The U.S. Weekly national flu reports: 2019 to 2020 season.COVID-19 Spain – The COVID-19 Spain API retrieves the number of COVID-19 confirmed cases, hospitalized cases, ICU cases, deaths, and the number of people who recovered from the COVID-19 disease. Flu Season: Preliminary Burden Estimates. Centers for Disease Control and Prevention (CDC). Descriptive review of geographic mapping of severe acute respiratory syndrome (SARS) on the internet. Statement on the second meeting of the International Health Regulations Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV), Geneva, Switzerland, 30 January 2020. The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19)–China. We also discuss additional ways GIS can support the fight against infectious disease outbreaks and epidemics.Ĭhinese Center for Disease Control and Prevention (CCDC). 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. 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.
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. 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.