ArticlePeerJ2014
Rat sightings in New York City are associated with neighborhood sociodemographics, housing characteristics, and proximity to open public space.
Article in PeerJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 53 citations in OpenAlex.
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- Potential Drivers for the Re-Emergence of Canine Leptospirosis in the United States and Canada.Tropical medicine and infectious disease · 2022Review
- Racial/ethnic and neighborhood disparities in metals exposure during pregnancy in the Northeastern United States.The Science of the total environment · 2022Article
- Association of rodents with man-made infrastructures and food waste in Urban Singapore.Infection ecology & epidemiology · 2022Article
- "I don't feel safe sitting in my own yard": Chicago resident experiences with urban rats during a COVID-19 stay-at-home order.BMC public health · 2021Article
- Socio-eco-evolutionary dynamics in cities.Evolutionary applications · 2021Article
- Households as hotspots of Lassa fever? Assessing the spatial distribution of Lassa virus-infected rodents in rural villages of Guinea.Emerging microbes & infections · 2020Article
- Urban rat races: spatial population genomics of brown rats (Proceedings. Biological sciences · 2018Article
- Spatial modeling of rat bites and prediction of rat infestation in Peshawar valley using binomial kriging with logistic regression.Environmental monitoring and assessment · 2018Article
- Exposure to Rats and Rat-Associated Leptospira and Bartonella Species Among People Who Use Drugs in an Impoverished, Inner-City Neighborhood of Vancouver, Canada.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2018Article
- How urbanization affects the epidemiology of emerging infectious diseases.Infection ecology & epidemiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rats are ubiquitous in urban environments and, as established reservoirs for infectious pathogens, present a control priority for public health agencies. New York City (NYC) harbors one of the largest rat populations in the United States, but surprising little study has been undertaken to define rat ecology across varied features of this urban landscape. More importantly, factors that may contribute to increased encounters between rats and humans have rarely been explored. Using city-wide records of rat sightings reported to the NYC Department of Health and Mental Hygiene, this investigation sought to identify sociodemographic, housing, and physical landscape characteristics that are associated with increased rat sightings across NYC census tracts. A hierarchical Bayesian conditional autoregressive Poisson model was used to assess these associations while accounting for spatial heterogeneity in the variance. Closer proximity to both subway lines and recreational public spaces was associated with a higher concentration of rat sightings, as was a greater presence of older housing, vacant housing units, and low education among the population. Moreover, these aspects of the physical and social landscape accurately predicted rat sightings across the city. These findings have identified specific features of the NYC urban environment that may help to provide direct control targets for reducing human-rat encounters.
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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 OpenQuestion graph.