Modelling changing patterns in the COVID‐19 geographical distribution: Madrid’s case
نویسندگان
چکیده
We analyse the transmission factors shaping spatial distribution of COVID-19 infections during distinct phases pandemic’s first wave in Madrid, Spain, by fitting a regression model capturing neighbourhood effects between municipalities. Our findings highlight that such as population, mobility, and tourism were instrumental days before national lockdown. As result, already early part lockdown phase, geographical pattern emerged spread disease, along with positive (negative) impact age (wealth) on virus transmission. Thereafter, links municipalities weakened, influences mobility eroded mass quarantine. However, de-escalation reappeared, reinforcing pattern, an issue policymakers must pay heed to. Indeed, counterfactual analysis shows number without would have been around 170% higher.
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ژورنال
عنوان ژورنال: Geographical Research
سال: 2021
ISSN: ['1745-5863', '1745-5871']
DOI: https://doi.org/10.1111/1745-5871.12521