ArticlePLoS computational biology2013
The effects of city streets on an urban disease vector.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Urban vectors of Chagas disease in the American continent: A systematic review of epidemiological surveys.PLoS neglected tropical diseases · 2022Pooled it
- Occurrence ofMicroorganisms · 2022Article
- Bridging landscape ecology and urban science to respond to the rising threat of mosquito-borne diseases.Nature ecology & evolution · 2022Review
- Urban landscape and infection risk in free-roaming cats.Zoonoses and public health · 2022Article
- Triatomine fauna in the state of Bahia, Brazil: What changed after 40 years of the vector-control program?Revista da Sociedade Brasileira de Medicina Tropical · 2022Article
- Describing the current status of Plasmodium falciparum population structure and drug resistance within mainland Tanzania using molecular inversion probes.Molecular ecology · 2021Article
- Dispersal patterns of Trypanosoma cruzi in Arequipa, Peru.PLoS neglected tropical diseases · 2020Article
- A behavioral design approach to improving a Chagas disease vector control campaign in Peru.BMC public health · 2019Article
- An evaluation of efficacy of the auto-dissemination technique as a tool for Aedes aegypti control in Madeira, Portugal.Parasites & vectors · 2019Article
- Integrating evidence, models and maps to enhance Chagas disease vector surveillance.PLoS neglected tropical diseases · 2018Article
- Risk maps for cities: Incorporating streets into geostatistical models.Spatial and spatio-temporal epidemiology · 2018Article
- Primary blood-hosts of mosquitoes are influenced by social and ecological conditions in a complex urban landscape.Parasites & vectors · 2018Article
- Article
- Priorities and needs for research on urban interventions targeting vector-borne diseases: rapid review of scoping and systematic reviews.Infectious diseases of poverty · 2016Review
- The ecological foundations of transmission potential and vector-borne disease in urban landscapes.Functional ecology · 2015Article
- The potential of canine sentinels for reemerging Trypanosoma cruzi transmission.Preventive veterinary medicine · 2015Article
- Ecological and sociodemographic determinants of house infestation by Triatoma infestans in indigenous communities of the Argentine Chaco.PLoS neglected tropical diseases · 2015Article
- Population structure of the Chagas disease vector Triatoma infestans in an urban environment.PLoS neglected tropical diseases · 2015Article
- Residual infestation and recolonization during urban Triatoma infestans Bug Control Campaign, Peru.Emerging infectious diseases · 2014Article
- A door-to-door survey of bed bug (Cimex lectularius) infestations in row homes in Philadelphia, Pennsylvania.The American journal of tropical medicine and hygiene · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
With increasing urbanization vector-borne diseases are quickly developing in cities, and urban control strategies are needed. If streets are shown to be barriers to disease vectors, city blocks could be used as a convenient and relevant spatial unit of study and control. Unfortunately, existing spatial analysis tools do not allow for assessment of the impact of an urban grid on the presence of disease agents. Here, we first propose a method to test for the significance of the impact of streets on vector infestation based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gaussian Field Latent Class model to finely describe the effect of streets while controlling for cofactors and imperfect detection of vectors. We apply these methods to cross-sectional data of infestation by the Chagas disease vector Triatoma infestans in the city of Arequipa, Peru. Our Moran's decomposition test reveals that the distribution of T. infestans in this urban environment is significantly constrained by streets (p<0.05). With the Gaussian Field Latent Class model we confirm that streets provide a barrier against infestation and further show that greater than 90% of the spatial component of the probability of vector presence is explained by the correlation among houses within city blocks. The city block is thus likely to be an appropriate spatial unit to describe and control T. infestans in an urban context. Characteristics of the urban grid can influence the spatial dynamics of vector borne disease and should be considered when designing public health policies.
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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.