An Innovative Approach to Estimate Infection by COVID-19

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Given that individuals in a certain population are different (among other things they have a different immune system), it is possible that some are infected with the known virus COVID-19 and are asymptomatic and therefore not diagnosed with the disease. Thus, estimates of the number of infected and dead with COVID-19 may not correspond to reality. This study seeks to indicate a procedure to estimate the number of individuals in the infected population that are asymptomatic (not diagnosed, but possible transmitters of the disease), based on the number of infected individuals (already diagnosed). We showed how with data available (numbers of symptomatic, symptomatic in the hospital and deceased) on the evolution of the pandemic in five regions of mainland Portugal it is possible to estimate the number of asymptomatic and immune individuals in the population.
Original languageEnglish
Title of host publicationInternational Conference on Numerical Analysis and Applied Mathematics
Subtitle of host publicationICNAAM2022
EditorsTheodore E. Simos, Charalambos Tsitouras
PublisherAIP - American Institute of Physics
Number of pages5
Edition1
ISBN (Electronic)978-073544954-1
DOIs
Publication statusPublished - 7 Jun 2024
EventInternational Conference of Numerical Analysis and Applied Mathematics 2022, ICNAAM 2022 - Heraklion, Greece
Duration: 19 Sept 202225 Sept 2022

Publication series

NameAIP Conference Proceedings
PublisherAIP - American Institute of Physics
Number1
Volume3094
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference of Numerical Analysis and Applied Mathematics 2022, ICNAAM 2022
Country/TerritoryGreece
CityHeraklion
Period19/09/2225/09/22

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