Interregional mobility in different age groups is associated with COVID-19 transmission in the Taipei metropolitan area, Taiwan

被引:1
|
作者
Jiang, Wei-Ming [1 ]
Wen, Tzai-Hung [2 ]
Huang, Ying-Chi [3 ]
Chiou, Hung-Yi [1 ,4 ,5 ]
Chen, Wei J. [6 ,7 ]
Hsiung, Chao A. [1 ]
Sytwu, Huey-Kang [3 ]
Tsou, Hsiao-Hui [1 ,8 ]
机构
[1] Natl Hlth Res Inst, Inst Populat Hlth Sci, 35 Keyan Rd, Zhunan 350, Miaoli County, Taiwan
[2] Natl Taiwan Univ, Dept Geog, Taipei, Taiwan
[3] Natl Hlth Res Inst, Natl Inst Infect Dis & Vaccinol, Zhunan, Miaoli County, Taiwan
[4] Taipei Med Univ, Coll Publ Hlth, Sch Publ Hlth, Taipei, Taiwan
[5] Taipei Med Univ, Coll Publ Hlth, Masters Program Appl Epidemiol, Taipei, Taiwan
[6] Natl Hlth Res Inst, Ctr Neuropsychiat Res, Zhunan, Miaoli County, Taiwan
[7] Natl Taiwan Univ, Inst Epidemiol & Prevent Med, Coll Publ Hlth, Taipei, Taiwan
[8] China Med Univ, Grad Inst Biostat, Coll Publ Hlth, Taichung, Taiwan
关键词
SOCIOECONOMIC-FACTORS; RISK;
D O I
10.1038/s41598-023-44474-z
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
Before vaccines were introduced, mobility restriction was one of the primary control measures in the early stage of the coronavirus disease 2019 (COVID-19) pandemic. Because different age groups face disproportionate health risks, differences in their mobility changes affect the effectiveness of pandemic control measures. This study aimed to investigate the relationship between multiscale mobility patterns in different age groups and COVID-19 transmission before and after control measures implementation. Data on daily confirmed case numbers, anonymized mobile phone data, and 38 socioeconomic factors were used to construct negative binomial regression models of these relationships in the Taipei metropolitan area in May 2021. To avoid overfitting, the socioeconomic factor dimensions were reduced by principal component analysis. The results showed that inter-district mobility was a greater promoter of COVID-19 transmission than was intra-district mobility (coefficients: pre-alert, 0.52 and 0.43; post-alert, 0.41 and 0.36, respectively). Moreover, both the inter-district mobility of people aged 15-59 and >= 60 years were significantly related to the number of confirmed cases (coefficients: pre-alert, 0.82 and 1.05; post-alert, 0.48 and 0.66, respectively). The results can help agencies worldwide formulate public health responses to emerging infectious diseases.
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页数:13
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