2022
DOI: 10.1371/journal.pone.0272996
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Impact of human mobility and networking on spread of COVID-19 at the time of the 1st and 2nd epidemic waves in Japan: An effective distance approach

Abstract: Background The influence of human mobility to the domestic spread of COVID-19 in Japan using the approach of effective distance has not yet been assessed. Methods We calculated the effective distance between prefectures using the data on laboratory-confirmed cases of COVID-19 from January 16 to August 23, 2020, that were times in the 1st and the 2nd epidemic waves in Japan. We also used the aggregated data on passenger volume by transportation mode for the 47 prefectures, as well as those in the private rail… Show more

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Cited by 4 publications
(3 citation statements)
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“…The epidemic risk perception of the public helped them to take personal precautions in time and reduce unnecessary contacts, thus reducing the possibility of being infected [ 75 , 76 ]. In this paper, we made use of the Baidu search index term "COVID-19" as the proxy variable of residents’ protection awareness.…”
Section: Methodsmentioning
confidence: 99%
“…The epidemic risk perception of the public helped them to take personal precautions in time and reduce unnecessary contacts, thus reducing the possibility of being infected [ 75 , 76 ]. In this paper, we made use of the Baidu search index term "COVID-19" as the proxy variable of residents’ protection awareness.…”
Section: Methodsmentioning
confidence: 99%
“…The connection strength between world regions is only partly explained by their geographic proximity. Instead, due to historic geopolitical relations [14,15] pandemics spread rather along an effective distance that is derived from the world air transportation network (WAN) [16][17][18][19], or, if applied on a smaller scale, also from other means of transportation [16,20]. According to the effective distance, region B is closest to region A if the passenger flow from A to B is greater than to other destinations.…”
Section: Introductionmentioning
confidence: 99%
“…An intriguing extension is the multipath effective distance, which enhances the prediction of disease arrival times by considering all paths taken by a random walker on the WAN [17]. The effective distance is regularly used to analyze the impact of mobility on the spread of diseases, as for example for MERS [21], Ebola [22], Zika [23] and most recently COVID-19 [20,[24][25][26]. While it enables a qualitative estimation of disease arrival times, its applicability is severely restricted when it comes to describing the importation of infected passengers from a specific source to a target.…”
Section: Introductionmentioning
confidence: 99%