Evidence map›Paper›PMID 35079210›Full record

ArticleTransport policy2022

The effects of Wuhan highway lockdown measures on the spread of COVID-19 in China.

Xin Meng, Mingxue Guo, Ziyou Gao, Zhenzhen Yang, Zhilu Yuan, Liujiang Kang

Abstract read
In one paragraph

Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. An Investigation on Chinese Public Acceptance of COVID-19 Prevention Measures.International journal of environmental research and public health · 2022
    Article
  6. 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

6 authors.

Xin MengSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.
Mingxue GuoSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.
Ziyou GaoSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.
Zhenzhen YangSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.
Zhilu YuanSchool of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, 518052, China.
Liujiang KangSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To verify the effects of Wuhan highway lockdown measures on the spread of COVID-19 across China cities, we extracted the vehicle outflow from Wuhan to 245 cities from the Chinese highway toll system. A dynamic exponential risk model that considered the vehicle outflow, city gross domestic product, city population, and distance between two cities was established to characterize the spread of pandemics and quantify the blocking effects. Results showed that an early highway lockdown measure could indeed reduce the confirmed cases and vehicles with 1-9 seats played a leading role. The confirmed cases in Guangxi, Henan, and Shanxi could be reduced by more than 50%, as well as Hubei by 20% if the highway was closed 3 days in advance. The blocking effects on Fujian, Jiangxi, Guangdong, Hunan, and Shandong were not obvious, where the number of confirmed cases only decreased by a small proportion (below 10%). The findings could be used to help each provincial government to adjust policies properly and improve the effectiveness of epidemic control and prevention. Moreover, the proposed method could also be applied to various countries or regions affected by COVID-19, as well as other similar pandemics.

Indexed as

COVID-19Epidemic control and preventionHighway toll systemHuman mobilityLockdown measures

Identifiers

PMID35079210
PMCPMC8770363

What OpenQuestion holds

Textmetadata
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.