The role of inter-regional mobility in forecasting SARS-CoV-2 transmission

被引:6
作者
Schoot Uiterkamp, Martijn H. H. [1 ]
Goesgens, Martijn [1 ]
Heesterbeek, Hans [2 ]
van der Hofstad, Remco [1 ]
Litvak, Nelly [1 ,3 ]
机构
[1] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands
[2] Univ Utrecht, Dept Populat Hlth Sci, Utrecht, Netherlands
[3] Univ Twente, Fac Elect Engn Math & Comp Sci, Enschede, Netherlands
关键词
inter-regional mobility; forecasting; epidemiology; compartmental models; SARS-CoV-2; COVID-19; SPREAD;
D O I
10.1098/rsif.2022.0486
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, we present a method to forecast the spread of SARS-CoV-2 across regions with a focus on the role of mobility. Mobility has previously been shown to play a significant role in the spread of the virus, particularly between regions. Here, we investigate under which epidemiological circumstances incorporating mobility into transmission models yields improvements in the accuracy of forecasting, where we take the situation in The Netherlands during and after the first wave of transmission in 2020 as a case study. We assess the quality of forecasting on the detailed level of municipalities, instead of on a nationwide level. To model transmissions, we use a simple mobility-enhanced SEIR compartmental model with subpopulations corresponding to the Dutch municipalities. We use commuter information to quantify mobility, and develop a method based on maximum likelihood estimation to determine the other relevant parameters. We show that taking inter-regional mobility into account generally leads to an improvement in forecast quality. However, at times when policies are in place that aim to reduce contacts or travel, this improvement is very small. By contrast, the improvement becomes larger when municipalities have a relatively large amount of incoming mobility compared with the number of inhabitants.
引用
收藏
页数:17
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