COVID-19, commuting flows, and air quality.

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.

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.

Who cites it

5 citing papers in PubMed.

1. Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach.Cities (London, England) · 2023
   Article
2. Change in the air due to the coronavirus outbreak in four major cities of India: What do the statistics say?Journal of hazardous materials advances · 2023
   Article
3. Analyzing the Effect of Social Distancing Policies on Traffic at Sinchon Station, South Korea, during the COVID-19 Pandemic in 2020 and 2021.International journal of environmental research and public health · 2022
   Article
4. COVID-19 Impact on Public Health, Environment, Human Psychology, Global Socioeconomy, and Education.TheScientificWorldJournal · 2022
   Review
5. Investigation of factors associated with mental health during the early part of the COVID-19 pandemic in South Korea based on machine learning algorithms: A cohort study.Digital health
   Article

Corrections and comments

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

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as