Evidence map›Paper›PMID 35838157›Full record

ArticleDemography2022

Socially Connected Neighborhoods and the Spread of Sexually Transmitted Infections.

Lauren Newmyer, Megan Evans, Corina Graif

Open access · diamondAbstract read
In one paragraph

Article in Demography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Seroprevalence ofLe infezioni in medicina · 2024
    Article
  6. 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

3 authors at 1 institution in 1 country.

Lauren NewmyerDepartment of Sociology and Criminology, and the Population Research Institute, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-9240-7187
Megan EvansDepartment of Sociology and Criminology, and the Population Research Institute, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0002-1671-2665
Corina GraifDepartment of Sociology and Criminology, and the Population Research Institute, Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-7137-4278
Pennsylvania State University · US

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MATTHEWS, STEPHEN A · 2001 to 2016
$9.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
Training Program in Social Environments and Population HealthT32HD007514 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI JOHN D. ICELAND · 1999 to 2026
$5.1M
Big Data and Network Analysis of Children's HealthK01HD093863 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI GRAIF, CORINA · 2017 to 2021
$692k
NICHD NIH HHS K01 HD093863NICHD NIH HHS P2C HD041025NICHD NIH HHS R24 HD041025NICHD NIH HHS T32 HD007514
6 · The paper itself

Abstract

Sexually transmitted infections (STIs) in the United States have been increasing at record levels and exhibit unequal spatial patterning across urban populations and neighborhoods. Research on the effects of residential and nearby neighborhoods on STI proliferation has largely ignored the role of socially connected contexts, even though neighborhoods are routinely linked by individuals' movements across space for work and other social activities. We showcase how commuting and public transit networks contribute to the social spillover of STIs in Chicago. Examining data on all employee-employer location links recorded yearly by the Census Bureau for more than a decade, we assess network spillover effects of local community STI rates on interconnected communities. Spatial and network autoregressive models show that exposure to STIs in geographically proximate and socially proximate communities contributes to increases in local STI levels, even net of socioeconomic and demographic factors and prior STIs. These findings suggest that geographically proximate and socially connected communities influence one another's infection rates through social spillover effects.

Indexed as

HIV InfectionsSexually Transmitted DiseasesChicagoHumansResidence CharacteristicsUnited StatesUrban PopulationNeighborhood effectsNeighborhood networksPopulation healthSexually transmitted infections

Identifiers

PMID35838157
PMCPMC9707946
OpenAlexW4285589922

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.