{"title":"Models for the Study of the Effects of COVID-19 on Dermatological Health","authors":"Quintero Ml","doi":"10.23880/vij-16000288","DOIUrl":null,"url":null,"abstract":"COVID-19 and its impact on dermatological health were reviewed from theoretical and statistical frameworks in the present study. A cross-sectional and retrospective work was documented with a selection of sources indexed to Scopus, considering the period from 2019 to 2021, as well as the search by keywords. Approaches were discussed in order to outline a comprehensive model that considered the differences between the parties involved, as well as their relationships in a risk context. The proposal contributes to the state of the question in terms of the prediction of contingencies derived from the probability and affectation of dermatological health","PeriodicalId":334586,"journal":{"name":"Virology & Immunology Journal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virology & Immunology Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23880/vij-16000288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
COVID-19 and its impact on dermatological health were reviewed from theoretical and statistical frameworks in the present study. A cross-sectional and retrospective work was documented with a selection of sources indexed to Scopus, considering the period from 2019 to 2021, as well as the search by keywords. Approaches were discussed in order to outline a comprehensive model that considered the differences between the parties involved, as well as their relationships in a risk context. The proposal contributes to the state of the question in terms of the prediction of contingencies derived from the probability and affectation of dermatological health