Crowdsourcing Of Covid-19 Symptoms Map In Ecuadorians

Siuling Ching-Ávalos, Yadira Jaramillo-Lindao, A. Velastegui-Montoya, Luis Ecalada, R. Chang-Silva, Mayte Mosquera-Romero
{"title":"Crowdsourcing Of Covid-19 Symptoms Map In Ecuadorians","authors":"Siuling Ching-Ávalos, Yadira Jaramillo-Lindao, A. Velastegui-Montoya, Luis Ecalada, R. Chang-Silva, Mayte Mosquera-Romero","doi":"10.18687/laccei2021.1.1.124","DOIUrl":null,"url":null,"abstract":"– The COVID-19 pandemic significantly affected the city of Guayaquil. The complex dynamics associated with the geography of SARS-CoV-2 made it difficult to monitore the spread of COVID-19 in Ecuador. Data collection and reporting were, in most cases, some of the main obstacles to understanding the (real-time) situation of COVID-19 outbreak. This study presents a crowdsourcing initiative to complement data collection efforts that inform the progress of contagion in Ecuador. We used a digital survey to collect information regarding positive cases and symptoms associated with COVID-19. We further developed an online dashboard that shows descriptive statistics based on collected data. In total, there were 1450 responses. Additional information such as geographical data led to the identification and visualization of the areas with the highest prevalence of symptoms associated with COVID-19 in some of the main urban areas of Guayaquil city.","PeriodicalId":20446,"journal":{"name":"Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future”","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Prospective and trends in technology and skills for sustainable social development” “Leveraging emerging technologies to construct the future”","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18687/laccei2021.1.1.124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

– The COVID-19 pandemic significantly affected the city of Guayaquil. The complex dynamics associated with the geography of SARS-CoV-2 made it difficult to monitore the spread of COVID-19 in Ecuador. Data collection and reporting were, in most cases, some of the main obstacles to understanding the (real-time) situation of COVID-19 outbreak. This study presents a crowdsourcing initiative to complement data collection efforts that inform the progress of contagion in Ecuador. We used a digital survey to collect information regarding positive cases and symptoms associated with COVID-19. We further developed an online dashboard that shows descriptive statistics based on collected data. In total, there were 1450 responses. Additional information such as geographical data led to the identification and visualization of the areas with the highest prevalence of symptoms associated with COVID-19 in some of the main urban areas of Guayaquil city.
厄瓜多尔人Covid-19症状图的众包
——新冠肺炎疫情严重影响瓜亚基尔市。与SARS-CoV-2的地理位置相关的复杂动态使监测COVID-19在厄瓜多尔的传播变得困难。在大多数情况下,数据收集和报告是了解COVID-19疫情(实时)情况的一些主要障碍。本研究提出了一项众包倡议,以补充数据收集工作,为厄瓜多尔的传染进展提供信息。我们使用数字调查来收集与COVID-19相关的阳性病例和症状的信息。我们进一步开发了一个在线仪表板,显示基于收集数据的描述性统计信息。总共有1450份回复。地理数据等其他信息有助于确定和可视化瓜亚基尔市一些主要城区中与COVID-19相关症状患病率最高的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信