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People and Nature
Article . 2020 . Peer-reviewed
License: CC BY
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People and Nature
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People and Nature
Article . 2020
Data sources: DOAJ
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Socioeconomic drivers of urban pest prevalence

Authors: Chris Sutherland; Andrew J. Greenlee; Daniel Schneider;

Socioeconomic drivers of urban pest prevalence

Abstract

Abstract Bed bugs have re‐established themselves as a common household pest in the United States and pose significant public health and economic concerns, particularly in urban areas. Documenting the scale of the bed bug resurgence and identifying the underlying predictors of the spatial patterns of their incidence is challenging, largely because available data come from biased self‐reporting through local government code enforcement. Here, we make use of a novel source of systematically collected data from periodic inspections of multifamily housing units in Chicago to investigate neighbourhood drivers of bed bug infestation prevalence in Chicago. Bed bug infestations are strongly associated with income, eviction rates and crowding at the neighbourhood level. That bed bug prevalence is higher in lower‐income neighbourhoods with higher levels of household crowding and eviction notices provides unique empirical evidence of the disproportionate allocation of public health burdens upon neighbourhoods facing multiple dimensions of disadvantage. A free Plain Language Summary can be found within the Supporting Information of this article.

Country
United Kingdom
Keywords

330, bed bugs, GF Human ecology. Anthropogeography, Bed bugs, socioeconomic, Socioeconomic, GF1-900, SDG 3 - Good Health and Well-being, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Spatial ecology, QH540-549.5, Public health, Ecology, public health, spatial ecology, metapopulation, DAS, GF, SDG 11 - Sustainable Cities and Communities, Human ecology. Anthropogeography, Metapopulation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
gold