Cargando…
Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart
BACKGROUND: Considering the widespread of coronavirus disease 2019 (COVID-19) pandemic in the world, it is important to understand the spatiotemporal development of the pandemic. In this study, we aimed to visualize time-associated alterations of COVID-19 in the context of continents and countries....
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919986/ https://www.ncbi.nlm.nih.gov/pubmed/33648606 http://dx.doi.org/10.1186/s40249-021-00800-z |
_version_ | 1783658209731411968 |
---|---|
author | Pang, Ming-Fan Liang, Zuo-Ru Cheng, Zhi-Da Yang, Xin-Ping Wu, Jie-Wen Lyu, Ke Xi, Jing-Jing Li, Zhong-Jie Shi, Guo-Qing Zhang, Yan-Ping Gao, George F. Qi, Xiao-Peng Dong, Xiao-Ping |
author_facet | Pang, Ming-Fan Liang, Zuo-Ru Cheng, Zhi-Da Yang, Xin-Ping Wu, Jie-Wen Lyu, Ke Xi, Jing-Jing Li, Zhong-Jie Shi, Guo-Qing Zhang, Yan-Ping Gao, George F. Qi, Xiao-Peng Dong, Xiao-Ping |
author_sort | Pang, Ming-Fan |
collection | PubMed |
description | BACKGROUND: Considering the widespread of coronavirus disease 2019 (COVID-19) pandemic in the world, it is important to understand the spatiotemporal development of the pandemic. In this study, we aimed to visualize time-associated alterations of COVID-19 in the context of continents and countries. METHODS: Using COVID-19 case and death data from February to December 2020 offered by Johns Hopkins University, we generated time-associated balloon charts with multiple epidemiological indicators including crude case fatality rate (CFR), morbidity, mortality and the total number of cases, to compare the progression of the pandemic within a specific period across regions and countries, integrating seven related dimensions together. The area chart is used to supplement the display of the balloon chart in daily new COVID-19 case changes in UN geographic regions over time. Javascript and Vega-Lite were chosen for programming and mapping COVID-19 data in browsers for visualization. RESULTS: From February 1st to December 20th 2020, the COVID-19 pandemic spread across UN subregions in the chronological order. It was first reported in East Asia, and then became noticeable in Europe (South, West and North), North America, East Europe and West Asia, Central and South America, Southern Africa, Caribbean, South Asia, North Africa, Southeast Asia and Oceania, causing several waves of epidemics in different regions. Since October, the balloons of Europe, North America and West Asia have been rising rapidly, reaching a dramatically high morbidity level ranging from 200 to 500/10 000 by December, suggesting an emerging winter wave of COVID-19 which was much bigger than the previous ones. By late December 2020, some European and American countries displayed a leading mortality as high as or over 100/100 000, represented by Belgium, Czechia, Spain, France, Italy, UK, Hungary, Bulgaria, Peru, USA, Argentina, Brazil, Chile and Mexico. The mortality of Iran was the highest in Asia (over 60/100 000), and that of South Africa topped in Africa (40/100 000). In the last 15 days, the CFRs of most countries were at low levels of less than 5%, while Mexico had exceptional high CFR close to 10%. CONCLUSIONS: We creatively used visualization integrating 7-dimensional epidemiologic and spatiotemporal indicators to assess the progression of COVID-19 pandemic in terms of transmissibility and severity. Such methodology allows public health workers and policy makers to understand the epidemics comparatively and flexibly. [Image: see text] |
format | Online Article Text |
id | pubmed-7919986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79199862021-03-02 Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart Pang, Ming-Fan Liang, Zuo-Ru Cheng, Zhi-Da Yang, Xin-Ping Wu, Jie-Wen Lyu, Ke Xi, Jing-Jing Li, Zhong-Jie Shi, Guo-Qing Zhang, Yan-Ping Gao, George F. Qi, Xiao-Peng Dong, Xiao-Ping Infect Dis Poverty Research Article BACKGROUND: Considering the widespread of coronavirus disease 2019 (COVID-19) pandemic in the world, it is important to understand the spatiotemporal development of the pandemic. In this study, we aimed to visualize time-associated alterations of COVID-19 in the context of continents and countries. METHODS: Using COVID-19 case and death data from February to December 2020 offered by Johns Hopkins University, we generated time-associated balloon charts with multiple epidemiological indicators including crude case fatality rate (CFR), morbidity, mortality and the total number of cases, to compare the progression of the pandemic within a specific period across regions and countries, integrating seven related dimensions together. The area chart is used to supplement the display of the balloon chart in daily new COVID-19 case changes in UN geographic regions over time. Javascript and Vega-Lite were chosen for programming and mapping COVID-19 data in browsers for visualization. RESULTS: From February 1st to December 20th 2020, the COVID-19 pandemic spread across UN subregions in the chronological order. It was first reported in East Asia, and then became noticeable in Europe (South, West and North), North America, East Europe and West Asia, Central and South America, Southern Africa, Caribbean, South Asia, North Africa, Southeast Asia and Oceania, causing several waves of epidemics in different regions. Since October, the balloons of Europe, North America and West Asia have been rising rapidly, reaching a dramatically high morbidity level ranging from 200 to 500/10 000 by December, suggesting an emerging winter wave of COVID-19 which was much bigger than the previous ones. By late December 2020, some European and American countries displayed a leading mortality as high as or over 100/100 000, represented by Belgium, Czechia, Spain, France, Italy, UK, Hungary, Bulgaria, Peru, USA, Argentina, Brazil, Chile and Mexico. The mortality of Iran was the highest in Asia (over 60/100 000), and that of South Africa topped in Africa (40/100 000). In the last 15 days, the CFRs of most countries were at low levels of less than 5%, while Mexico had exceptional high CFR close to 10%. CONCLUSIONS: We creatively used visualization integrating 7-dimensional epidemiologic and spatiotemporal indicators to assess the progression of COVID-19 pandemic in terms of transmissibility and severity. Such methodology allows public health workers and policy makers to understand the epidemics comparatively and flexibly. [Image: see text] BioMed Central 2021-03-01 /pmc/articles/PMC7919986/ /pubmed/33648606 http://dx.doi.org/10.1186/s40249-021-00800-z Text en © The Author(s) 2021 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. |
spellingShingle | Research Article Pang, Ming-Fan Liang, Zuo-Ru Cheng, Zhi-Da Yang, Xin-Ping Wu, Jie-Wen Lyu, Ke Xi, Jing-Jing Li, Zhong-Jie Shi, Guo-Qing Zhang, Yan-Ping Gao, George F. Qi, Xiao-Peng Dong, Xiao-Ping Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title | Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title_full | Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title_fullStr | Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title_full_unstemmed | Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title_short | Spatiotemporal visualization for the global COVID-19 surveillance by balloon chart |
title_sort | spatiotemporal visualization for the global covid-19 surveillance by balloon chart |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919986/ https://www.ncbi.nlm.nih.gov/pubmed/33648606 http://dx.doi.org/10.1186/s40249-021-00800-z |
work_keys_str_mv | AT pangmingfan spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT liangzuoru spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT chengzhida spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT yangxinping spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT wujiewen spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT lyuke spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT xijingjing spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT lizhongjie spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT shiguoqing spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT zhangyanping spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT gaogeorgef spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT qixiaopeng spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart AT dongxiaoping spatiotemporalvisualizationfortheglobalcovid19surveillancebyballoonchart |