Evidence map›Paper›PMID 36873541›Full record

ArticleHeliyon2023

A dynamic model for elevator operation-induced spread of a respiratory infectious disease in an apartment building.

Zuiyuan Guo, Guangquan Xiao, Jianhong Du, Wei Cui, Bing Li, Dan Xiao

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zuiyuan GuoDepartment of Infectious Disease Prevention and Control, Beibu Zhanqu Center for Disease Control and Prevention, Shenyang, China.
Guangquan XiaoDepartment of Infectious Disease Prevention and Control, Beibu Zhanqu Center for Disease Control and Prevention, Shenyang, China.
Jianhong DuTraining Base of Non-Commissioned Officer Specialized in Aviation Support of Naval Aeronautical University, Qingdao, China.
Wei CuiDepartment of Infectious Disease Prevention and Control, Beibu Zhanqu Center for Disease Control and Prevention, Shenyang, China.
Bing LiDepartment of Biosafety, Beibu Zhanqu Center for Disease Control and Prevention, Shenyang, China.
Dan XiaoChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residents have to use elevators to leave and enter their high-rise apartments frequently. An elevator car can easily spread respiratory infectious diseases, as it has a confined and small space. Therefore, studying how elevator operations promote epidemic transmission is of importance to public health. We developed an infectious disease dynamics model. First, we used homemade codes to simulate the operating state of an elevator and the dynamic process of infectious disease transmission in an apartment building due to elevator operations. Second, we analysed the temporal distribution patterns of infected individuals and patients. Finally, we validated the reliability of the model by performing continuous-time sensitivity analysis on important model parameters. We found that elevator operations can cause rapid spread of infectious diseases within an apartment building. Therefore, it is necessary to enhance elevator ventilation and disinfection mechanisms to prevent the outbreak of respiratory infections. Moreover, residents should reduce elevator use and wear masks.

Indexed as

Apartment buildingDynamics modelElevatorRespiratory infectious disease

Identifiers

PMID36873541
PMCPMC9982603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.