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Crowdsourcing of COVID-19 Symptoms Map in Ecuadorians

EasyChair Preprint no. 5901

6 pagesDate: June 24, 2021


The COVID-19 pandemic in Ecuador significantly affected the city of Guayaquil. The rapid spread of the coronavirus and limited processing of COVID-19 tests made it difficult to collect data and report of spreading in Ecuador. This study presents a crowdsourcing initiative to complement data collection efforts that inform the progress of contagion in Ecuador. We used a digital form to record the symptoms associated with COVID-19 and positive cases of SARS-CoV-2. The location of the participants led to creating a dynamic public access map viewer. Due to the incidence of cases, we developed a dashboard to observe in real-time the sectors most vulnerable to contagion. In total, there were 1,450 participants. The areas with the highest prevalence of symptoms associated with COVID-19 symptoms were La Aurora and La Puntilla

Keyphrases: Coronavirus, COVID-19, Crowdsourcing, data collection

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Siuling Ching-Ávalos and Yadira Jaramillo-Lindao and Andrés Velastegui-Montoya and Luis Ecalada and Roberto Chang-Silva and Mayte Mosquera-Romero},
  title = {Crowdsourcing of COVID-19 Symptoms Map in Ecuadorians},
  howpublished = {EasyChair Preprint no. 5901},

  year = {EasyChair, 2021}}
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