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OUTBREAK: a user-friendly georeferencing online tool for disease surveillance
The current COVID-19 pandemic has already claimed more than 3.7 million victims and it will cause more deaths in the coming months. Tools that track the number and locations of cases are critical for surveillance and help in making policy decisions for controlling the outbreak. However, the current...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264965/ https://www.ncbi.nlm.nih.gov/pubmed/34238385 http://dx.doi.org/10.1186/s40659-021-00343-5 |
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author | Arias-Carrasco, Raúl Giddaluru, Jeevan Cardozo, Lucas E. Martins, Felipe Maracaja-Coutinho, Vinicius Nakaya, Helder I. |
author_facet | Arias-Carrasco, Raúl Giddaluru, Jeevan Cardozo, Lucas E. Martins, Felipe Maracaja-Coutinho, Vinicius Nakaya, Helder I. |
author_sort | Arias-Carrasco, Raúl |
collection | PubMed |
description | The current COVID-19 pandemic has already claimed more than 3.7 million victims and it will cause more deaths in the coming months. Tools that track the number and locations of cases are critical for surveillance and help in making policy decisions for controlling the outbreak. However, the current surveillance web-based dashboards run on proprietary platforms, which are often expensive and require specific computational knowledge. We developed a user-friendly web tool, named OUTBREAK, that facilitates epidemic surveillance by showing in an animated graph the timeline and geolocations of cases of an outbreak. It permits even non-specialist users to input data most conveniently and track outbreaks in real-time. We applied our tool to visualize the SARS 2003, MERS, and COVID19 epidemics, and provided them as examples on the website. Through the zoom feature, it is also possible to visualize cases at city and even neighborhood levels. We made the tool freely available at https://outbreak.sysbio.tools/. OUTBREAK has the potential to guide and help health authorities to intervene and minimize the effects of outbreaks. |
format | Online Article Text |
id | pubmed-8264965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82649652021-07-09 OUTBREAK: a user-friendly georeferencing online tool for disease surveillance Arias-Carrasco, Raúl Giddaluru, Jeevan Cardozo, Lucas E. Martins, Felipe Maracaja-Coutinho, Vinicius Nakaya, Helder I. Biol Res Letter to the Editor The current COVID-19 pandemic has already claimed more than 3.7 million victims and it will cause more deaths in the coming months. Tools that track the number and locations of cases are critical for surveillance and help in making policy decisions for controlling the outbreak. However, the current surveillance web-based dashboards run on proprietary platforms, which are often expensive and require specific computational knowledge. We developed a user-friendly web tool, named OUTBREAK, that facilitates epidemic surveillance by showing in an animated graph the timeline and geolocations of cases of an outbreak. It permits even non-specialist users to input data most conveniently and track outbreaks in real-time. We applied our tool to visualize the SARS 2003, MERS, and COVID19 epidemics, and provided them as examples on the website. Through the zoom feature, it is also possible to visualize cases at city and even neighborhood levels. We made the tool freely available at https://outbreak.sysbio.tools/. OUTBREAK has the potential to guide and help health authorities to intervene and minimize the effects of outbreaks. BioMed Central 2021-07-08 /pmc/articles/PMC8264965/ /pubmed/34238385 http://dx.doi.org/10.1186/s40659-021-00343-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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. |
spellingShingle | Letter to the Editor Arias-Carrasco, Raúl Giddaluru, Jeevan Cardozo, Lucas E. Martins, Felipe Maracaja-Coutinho, Vinicius Nakaya, Helder I. OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title | OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title_full | OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title_fullStr | OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title_full_unstemmed | OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title_short | OUTBREAK: a user-friendly georeferencing online tool for disease surveillance |
title_sort | outbreak: a user-friendly georeferencing online tool for disease surveillance |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264965/ https://www.ncbi.nlm.nih.gov/pubmed/34238385 http://dx.doi.org/10.1186/s40659-021-00343-5 |
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