ArticleFrontiers in public health2025
The effect of urban-rail station area coverage on city blocks' epidemic transmission: the case of the rail-supportive city of Beijing, China.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background: From coronavirus disease 2019 (COVID-19) to other human-to-human infectious diseases, the integrative development of rail transport and land use, which is dominated by the theory of the transport-land use feedback cycle, concentrates citizens' large-scale flow and gathering within the rail station areas (RSAs). This makes RSAs the potential "focal point" of epidemic spread in cities. This study examined the effect of RSA coverage on epidemic transmission in rail-supportive city blocks and further revealed the internal mechanism and potential factors behind the surface effect. Methods and results: A quantitative empirical analysis was conducted using a typical COVID-19 case in Beijing, China, in 2020, and the statistical analysis method of "a mediating model with a moderating effect" was used, resulting in the following multilayered outcomes: (1) The higher the coverage, the lower the risk, overall, which is different from the general empiricism-based judgment. (2) Behind the total effect, RSA coverage does not directly affect epidemic transmission in blocks, as expected because of the focal point effect on epidemic occurrence possibility. Instead, RSA coverage has a mediating effect on epidemic vulnerability by affecting the residential population size of blocks. (3) There is a strengthening effect on RSA coverage affecting the population size as RSA transport and service levels increase. Conclusion: These findings have several implications. First, the implementation of contemporary local nonpharmaceutical interventions can be considered to reduce the focal point effect of RSAs and decrease the infectious sensitivity of the block population. Second, the transport-land use integration plays a key role behind the mediating and moderating effects by shaping resident land use and population distribution. Third, the blocks' primary hospitals, advanced hospitals, municipal roads, and elastic facilities probably provide potential support in reducing blocks' epidemic risk.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.