Variegated spatial–temporal landscape of COVID-19 infection in England: findings from spatially filtered multilevel models

Wei Zheng, Cecilia Wong · 2023

Read Variegated spatial–temporal landscape of COVID-19 infection in England: findings from spatially filtered multilevel models by Wei Zheng, Cecilia Wong (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10734670.txt.

Description

Wei Zheng and Cecilia Wong chart how COVID-19 spread unevenly over England in a 2023 study. Most spatial work had sat on the United States and China. The pair mapped infection levels through 2020 and fit models that respect both place tiers and neighbor pull.

Wave one showed a broken patchwork map. As the year ran, a rural to urban shift sharpened into a north south split. Demographic, wealth, and built form traits each tied to infection in their own scale. Place pull grew stronger as months passed, a sign local context counts more over time.

Catalog record

CREATORWei Zheng, Cecilia Wong
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE26 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10734670

Browse the full library · About the Tower of Babel