A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil
| Autor: | Pedro S. Peixoto, Claudia Pio Ferreira, Sergio Muniz Oliva, Mariana Pereira de Melo, Cláudia Peixoto, Diego Marcondes |
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| Přispěvatelé: | Universidade de São Paulo (USP), Universidade Estadual Paulista (UNESP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Economic growth
Coronavirus disease 2019 (COVID-19) social isolation Epidemic dynamics Declaration General Decision Sciences Article mobile geolocation Political science Development economics Pandemic medicine human mobility spatial-temporal patterns Economic geography Human Development Index Social isolation Epidemic control Socioeconomic status Social distance Urban hierarchy COVID-19 Geolocation Geography Dynamics (music) Complex interdependence Snapshot (computer storage) Proof-of-Concept: Data science output has been formulated implemented and tested for one domain/problem [DSML 2] medicine.symptom |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP Patterns Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | In response to the coronavirus pandemic, governments implemented social distancing, attempting to block the virus spread within territories. While it is well accepted that social isolation plays a role in epidemic control, the precise connections between mobility data indicators and epidemic dynamics are still a challenge. In this work, we investigate the dependency between a social isolation index and epidemiological metrics for several Brazilian cities. Classic statistical methods are employed to support the findings. As a first, initially surprising, result, we illustrate how there seems to be no apparent functional relationship between social isolation data and later effects on disease incidence. However, further investigations identified two regimes of successful employment of social isolation: as a preventive measure or as a remedy, albeit remedy measures require greater social isolation and bring higher burden to health systems. Additionally, we exhibit cases of successful strategies involving lockdowns and an indicator-based mobility restriction plan. The bigger picture During the coronavirus disease 2019 (COVID-19) pandemic, governments used mobility data to assess the effectiveness of social distancing policies, but is it really possible to measure the effectiveness of epidemic control measures using mobility data? In this work, we found that the relationship between mobility data and epidemic metrics is far from being simple in heterogeneous countries such as Brazil, but there are clear relations between them if other factors are taken into account. We have found two regimes under which the outcome of epidemic control measures are related to mobility data, which depend on when social distancing policies were implemented. Early implementation of social restrictions as a preventive measure leads to lower incidence peaks with an overall smaller intensity of the restrictions, while the implementation at later stages, as a remedy for high epidemic metrics, while effective, requires a greater intensity of the restrictions and may bring a greater burden to the health system. Do we have to stay home to control the pandemic? What happens if we do not? These are difficult questions that researchers are trying to better understand. Using Brazilian social isolation data, we found that preventive implementation of restrictive measures requires lower levels of isolation and leads to smaller incidence peaks. If we take our chances and wait to act, social distancing as a remedy works, but requires stricter measures and brings a greater burden on the health system. |
| Databáze: | OpenAIRE |
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