Evidence map›Paper›PMID 37521773›Full record

Articlenpj urban sustainability2022

Infectiousness of places - Impact of multiscale human activity places in the transmission of COVID-19.

Lun Liu, Hui Wang, Zhu Zhang, Weiyi Zhang, Shengsheng Zhuang, Shenhao Wang, Elisabete A Silva, Tingmiao Lv, Chi On Chio, Yifan Wang and 3 more

Abstract read
In one paragraph

Article in npj urban sustainability, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Lun LiuSchool of Government, Peking University, Beijing, China.ORCID 0000-0001-6550-8129
Hui WangSchool of Architecture, Tsinghua University, Beijing, China.ORCID 0000-0002-1198-9219
Zhu ZhangSchool of Government, Peking University, Beijing, China.
Weiyi ZhangSchool of Government, Peking University, Beijing, China.
Shengsheng ZhuangPeking Union Medical College, Beijing, China.
Shenhao WangDepartment of Urban and Regional Planning, University of Florida, Gainesville, FL USA.ORCID 0000-0003-4374-8193
Elisabete A SilvaDepartment of Land Economy, University of Cambridge, Cambridge, UK.
Tingmiao LvSchool of Government, Peking University, Beijing, China.
Chi On ChioSchool of Government, Peking University, Beijing, China.
Yifan WangSchool of Government, Peking University, Beijing, China.
Rina DaoSchool of Government, Peking University, Beijing, China.
Chuchang TangSchool of Government, Peking University, Beijing, China.
On Ieng Ao-IeongSchool of Government, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 raises attention to epidemic transmission in various places. This study analyzes the transmission risks associated with human activity places at multiple scales, including different types of settlements and eleven types of specific establishments (restaurants, bars, etc.), using COVID-19 data in 906 urban areas across four continents. Through a difference-in-difference approach, we identify the causal effects of activities at various places on epidemic transmission. We find that at the micro-scale, though the transmission risks at different establishments differ across countries, sports, entertainment, and catering establishments are generally more infectious. At the macro-scale, contradicting common beliefs, it is consistent across countries that transmission does not increase with settlement size and density. It is also consistent that specific establishments play a lesser role in transmission in larger settlements, suggesting more transmission happening elsewhere. These findings contribute to building a system of knowledge on the linkage between places, human activities, and disease transmission.

Indexed as

EconomicsGeographyRisk factors

Identifiers

PMID37521773
PMCPMC9630073

What OpenQuestion holds

Textmetadata
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.