TY - JOUR
T1 - The effect of human mobility and control measures on the COVID-19 epidemic in China
AU - Open COVID-19 Data Working Group
AU - Kraemer, Moritz U.G.
AU - Yang, Chia Hung
AU - Gutierrez, Bernardo
AU - Wu, Chieh Hsi
AU - Klein, Brennan
AU - Pigott, David M.
AU - du Plessis, Louis
AU - Faria, Nuno R.
AU - Li, Ruoran
AU - Hanage, William P.
AU - Brownstein, John S.
AU - Layan, Maylis
AU - Vespignani, Alessandro
AU - Tian, Huaiyu
AU - Dye, Christopher
AU - Pybus, Oliver G.
AU - Scarpino, Samuel V.
N1 - Publisher Copyright:
Copyright © 2020 The Authors,
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The ongoing coronavirus disease 2019 (COVID-19) outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions were undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We used real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. After the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside of Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19.
AB - The ongoing coronavirus disease 2019 (COVID-19) outbreak expanded rapidly throughout China. Major behavioral, clinical, and state interventions were undertaken to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We used real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures. Early on, the spatial distribution of COVID-19 cases in China was explained well by human mobility data. After the implementation of control measures, this correlation dropped and growth rates became negative in most locations, although shifts in the demographics of reported cases were still indicative of local chains of transmission outside of Wuhan. This study shows that the drastic control measures implemented in China substantially mitigated the spread of COVID-19.
UR - http://www.scopus.com/inward/record.url?scp=85083161622&partnerID=8YFLogxK
U2 - 10.1126/science.abb4218
DO - 10.1126/science.abb4218
M3 - Artículo
C2 - 32213647
AN - SCOPUS:85083161622
SN - 0036-8075
VL - 368
SP - 493
EP - 497
JO - Science
JF - Science
IS - 6490
ER -
