Presence and mobility of the population during the first wave of Covid-19 outbreak and lockdown in Italy.
Presence and mobility of the population during the first wave of Covid-19 outbreak and lockdown in Italy.
复制标题
意大利第一波新冠肺炎疫情和封锁期间人口的存在和流动性。
DOI:
10.1016/j.scs.2020.102616
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发表时间:
2021-03
影响因子:
11.7
通讯作者:
Lunkar V
中科院分区:
文献类型:
--
作者:
Beria P;Lunkar V
COVID-19 crisis has changed dramatically mobility of entire countries. Location-based social network data can be used to study mobility during crises. Lockdown in Italy saw both local and national mobility fall near to zero. Nevertheless, no large displacement of population has been observed. Cities emptied not towards remote areas, but mostly to urban belts. The non-medical policies implemented by many countries to “flatten the curve” during the COVID-19 outbreak has people stranded in their homes and some, out of their homes unable to return due to the disruptions in the mobility network. The availability of rich datasets (in our case, Facebook) has made it possible to study the mobility dynamics and spatial distribution of people during lockdown in Italy. Our interpretation is an effort to look deeper, describing the movements occurred during lockdown, including the territorial differences. We observe that, initially, tourists left the country and later Italians abroad managed to return, thereby, stabilising the population. With regards to internal mobility, the earliest affected regions see higher number of stationary users in the initial days of the outbreak while this is less significant for the central/southern regions until the decree for the official lockdown on the 9th of March 2020, due 2 days later. Just before lockdown, there was not a significant exodus of people from the North to the rest of the country, instead, relocation of people between cities and their urban belts, but not towards remote areas. This will be elaborated in conclusions shedding light on possible changes in future cities.
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影响因子:
2.5
作者:
Bharti N;Lu X;Bengtsson L;Wetter E;Tatem AJ
通讯作者:
Tatem AJ
影响因子:
3.9
作者:
Mitike Kassa, Yonas;Cuevas, Ruben;Cuevas, Angel
通讯作者:
Cuevas, Angel
影响因子:
2.5
作者:
Chae, Junghoon;Thom, Dennis;Ebert, David S.
通讯作者:
Ebert, David S.
DOI:
10.1016/j.trip.2020.100150
发表时间:
2020-07-01
影响因子:
--
作者:
de Haas, Mathijs;Faber, Roel;Hamersma, Marije
通讯作者:
Hamersma, Marije
影响因子:
6.9
作者:
Carlitz, Ruth D.;Makhura, Moraka N.
通讯作者:
Makhura, Moraka N.