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Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks by Yücel, Shiv G.; Pereira, Rafael H. M.; Peixoto, Pedro S.; Camargo, Chico Q. is a scholarly article available to read on EtoBox.

What is Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks about?

The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. Few studies, however, have examined the interaction of mobility networks with socio-spatial inequalities to understand the spread of infection. We introduce a novel methodology, called the Infection Delay Model, to calculate how the arrival time of an infection varies geographically, considering both effective distance-based metrics and differences in regions' capacity to isolate -- a feature associated with socioeconomic inequalities. To illustrate an application of the Infection Delay Model, this paper integrates household travel survey data with cell phone mobility data from the S\~ao Paulo metropolitan region to assess the effectiveness of lockdowns to slow the spread of COVID-19. Rather than operating under the assumption that the next pandemic will begin in the same region as the last, the model estimates infection delays under every possible outbreak scenario, allowing for generalizable insights into the effectiveness of interventions to delay a region's first case. The model sheds light on how the effectiv

Author

Yücel, Shiv G.; Pereira, Rafael H. M.; Peixoto, Pedro S.; Camargo, Chico Q.

Published

2022

Language

EN