Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South: A County-Level Longitudinal Analysis

Chengbo Zeng; Jiajia Zhang; Zhenlong Li; Xiaowen Sun; Xueying Yang; Bankole Olatosi; Sharon Weissman; Xiaoming Li

doi:10.1093/cid/ciac050

Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South: A County-Level Longitudinal Analysis

Chengbo Zeng, Jiajia Zhang, Zhenlong Li, Xiaowen Sun, Xueying Yang, Bankole Olatosi, Sharon Weissman, Xiaoming Li

Geography

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Population mobility and aging at local areas contributed to the geospatial disparities in the coronavirus disease 2019 (COVID-19) transmission among 418 counties in the Deep South. In predicting the incidence of COVID-19, a significant interaction was found between mobility and the proportion of older adults. Effective disease control measures should be tailored to vulnerable communities.

Original language	English (US)
Pages (from-to)	E1-E3
Journal	Clinical Infectious Diseases
Volume	74
DOIs	https://doi.org/10.1093/cid/ciac050
State	Published - May 15 2022

All Science Journal Classification (ASJC) codes

Microbiology (medical)
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/cid/ciac050

Cite this

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abstract = "Population mobility and aging at local areas contributed to the geospatial disparities in the coronavirus disease 2019 (COVID-19) transmission among 418 counties in the Deep South. In predicting the incidence of COVID-19, a significant interaction was found between mobility and the proportion of older adults. Effective disease control measures should be tailored to vulnerable communities.",

author = "Chengbo Zeng and Jiajia Zhang and Zhenlong Li and Xiaowen Sun and Xueying Yang and Bankole Olatosi and Sharon Weissman and Xiaoming Li",

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T1 - Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South

T2 - A County-Level Longitudinal Analysis

AU - Zeng, Chengbo

AU - Zhang, Jiajia

AU - Li, Zhenlong

AU - Sun, Xiaowen

AU - Yang, Xueying

AU - Olatosi, Bankole

AU - Weissman, Sharon

AU - Li, Xiaoming

PY - 2022/5/15

Y1 - 2022/5/15

N2 - Population mobility and aging at local areas contributed to the geospatial disparities in the coronavirus disease 2019 (COVID-19) transmission among 418 counties in the Deep South. In predicting the incidence of COVID-19, a significant interaction was found between mobility and the proportion of older adults. Effective disease control measures should be tailored to vulnerable communities.

AB - Population mobility and aging at local areas contributed to the geospatial disparities in the coronavirus disease 2019 (COVID-19) transmission among 418 counties in the Deep South. In predicting the incidence of COVID-19, a significant interaction was found between mobility and the proportion of older adults. Effective disease control measures should be tailored to vulnerable communities.

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U2 - 10.1093/cid/ciac050

DO - 10.1093/cid/ciac050

M3 - Article

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AN - SCOPUS:85130017381

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SP - E1-E3

JO - Clinical Infectious Diseases

JF - Clinical Infectious Diseases

ER -

Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South: A County-Level Longitudinal Analysis

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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