WEBINAR - PRECISION MAPPING OF COVID-19 VULNERABLE LOCALES BY EPIDEMIOLOGICAL AND SOCIOECONOMIC RISK FACTORS, DEVELOPED USING SOUTH KOREAN DATA

O Programa de Pós-Graduação em Estatística convida para:

WEBINAR - Precision Mapping of COVID-19 Vulnerable Locales by Epidemiological and Socioeconomic Risk Factors, Developed Using South Korean Data

Palestrante: Prof. Alan Ricardo da Silva (EST/UnB)

Data: 12/08/2021 (quinta-feira)

Horário: 14:30h (horário local de Brasília)

O seminário é público e poderá ser assistido clicando no link - https://teams.microsoft.com/l/meetup-join/19

Resumo:

COVID-19 has severely impacted socioeconomically disadvantaged populations. To support pandemic control strategies, geographically weighted negative binomial regression (GWNBR) mapped COVID-19 risk related to epidemiological and socioeconomic risk factors using South Korean incidence data (20 January 2020 to 1 July 2020). We constructed COVID-19-specific socioeconomic and epidemiological themes using established social theoretical frameworks and created composite indexes through principal component analysis. The risk of COVID-19 increased with higher area morbidity, risky health behaviours, crowding, and population mobility, and with lower social distancing, healthcare access, and education. Falling COVID-19 risks and spatial shifts over three consecutive time periods reflected effective public health interventions. This study provides a globally replicable methodological framework and precision mapping for COVID-19 and future pandemics.

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