Evidence map›Paper›PMID 25921021›Full record

ArticleSexually transmitted infections2015

Per capita incidence of sexually transmitted infections increases systematically with urban population size: a cross-sectional study.

Oscar Patterson-Lomba, Edward Goldstein, Andrés Gómez-Liévano, Carlos Castillo-Chavez, Sherry Towers

Abstract read
In one paragraph

Article in Sexually transmitted infections, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  11. Prevalence ofHealthcare (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Prevalence ofIranian journal of microbiology · 2022
    Article
  15. Urban Scaling of Health Outcomes: a Scoping Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  16. Molecular Genotyping ofArchives of Razi Institute · 2022
    Article
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4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

5 authors.

Oscar Patterson-LombaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Edward GoldsteinDepartment of Epidemiology, Centre for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Andrés Gómez-LiévanoCenter for International Development, Harvard Kennedy School, Harvard University, Cambridge, Massachusetts, USA.
Carlos Castillo-ChavezSimon A. Levin Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA.
Sherry TowersSimon A. Levin Mathematical, Computational and Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
BIOSTATISTICS/EPIDEMIOLOGY TRAINING GRANTS IN AIDST32AI007358 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Michael David Hughes · 1989 to 2026
$12.4M
Modeling Anthropogenic Effects in the Spread of Infectious DiseasesR01GM100471 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI PERRINGS, CHARLES · 2011 to 2014
$1.5M
Epidemiology and modeling of the population dynamics of influenza and antimicrobiK01AI101010 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GOLDSTEIN, EDWARD · 2012 to 2014
$379k
NIAID NIH HHS 1K01AI101010-01NIAID NIH HHS K01 AI101010NIAID NIH HHS T32 AI007358NIAID NIH HHS T32AI007358-26NIGMS NIH HHS 1R01GM100471-01NIGMS NIH HHS R01 GM100471NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

objectivesRampant urbanisation rates across the globe demand that we improve our understanding of how infectious diseases spread in modern urban landscapes, where larger and more connected host populations enhance the thriving capacity of certain pathogens.

methodsA data-driven approach is employed to study the ability of sexually transmitted diseases (STDs) to thrive in urban areas. The conduciveness of population size of urban areas and their socioeconomic characteristics are used as predictors of disease incidence, using confirmed-case data on STDs in the USA as a case study.

resultsA superlinear relation between STD incidence and urban population size is found, even after controlling for various socioeconomic aspects, suggesting that doubling the population size of a city results in an expected increase in STD incidence larger than twofold, provided that all other socioeconomic aspects remain fixed. Additionally, the percentage of African-Americans, income inequalities, education and per capita income are found to have a significant impact on the incidence of each of the three STDs studied.

conclusionsSTDs disproportionately concentrate in larger cities. Hence, larger urban areas merit extra prevention and treatment efforts, especially in low-income and middle-income countries where urbanisation rates are higher.

Indexed as

Population DensityAdultBlack or African AmericanCross-Sectional StudiesDisease OutbreaksEducational StatusFemaleHumansIncidenceIncomeMaleRisk FactorsSalaries and Fringe BenefitsSexually Transmitted DiseasesSocioeconomic FactorsUnited StatesBIOSTATISTICSEPIDEMIOLOGY (GENERAL)INFECTIOUS DISEASES

Identifiers

PMID25921021
PMCPMC4624619

What OpenQuestion holds

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Registered trials

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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.