Evidence map›Paper›PMID 37828352›Full record

ArticleScientific reports2023

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

Wei-Ming Jiang, Tzai-Hung Wen, Ying-Chi Huang, Hung-Yi Chiou, Wei J Chen, Chao A Hsiung, Huey-Kang Sytwu, Hsiao-Hui Tsou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Wei-Ming JiangInstitute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, 350, Miaoli County, Taiwan.
Tzai-Hung WenDepartment of Geography, National Taiwan University, Taipei, Taiwan.
Ying-Chi HuangNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Hung-Yi ChiouInstitute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, 350, Miaoli County, Taiwan.
Wei J ChenCenter for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Chao A HsiungInstitute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, 350, Miaoli County, Taiwan.
Huey-Kang SytwuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Hsiao-Hui TsouInstitute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, 350, Miaoli County, Taiwan. tsouhh@nhri.org.tw.
National Health Research Institutes · TWNational Taiwan University · TWChina Medical University · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19HumansPandemicsPublic HealthSocioeconomic FactorsTaiwan

Identifiers

PMID37828352
PMCPMC10570333
OpenAlexW4387577256

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.