Evidence map›Paper›PMID 28899029›Full record

ArticleAmerican journal of epidemiology2017

Invited Commentary: Observing Neighborhood Physical Disorder in an Age of Technological Innovation.

Jackelyn Hwang

Abstract read
In one paragraph

Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Jackelyn Hwang

Funding

GRADUATE PROGRAM IN DEMOGRAPHYT32HD007163 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 1985 to 2015
$4.3M
NICHD NIH HHS T32 HD007163
6 · The paper itself

Abstract

Researchers across several disciplines have argued that the characteristics of neighborhood environments can affect a variety of individual- and neighborhood-level outcomes. Physical disorder is one feature of neighborhoods that scholars have argued is important, but data that capture physical disorder have been limited because of the time and resources required for in-person audits. The advent of Google Street View, which provides publicly available street-level imagery with nearly complete coverage of the United States, opens new possibilities for researchers. In this issue of the Journal, Mooney et al. (Am J Epidemiol. 2017;186(3):265-273) compare in-person and virtual audits in Detroit, Michigan, and demonstrate that virtual audits offer key advantages to measuring neighborhood physical disorder over in-person audits, including substantial reductions in time and resources with little to no loss of measurement precision. In this invited commentary, I welcome the use of virtual audits for advancing the study of neighborhoods and outline areas in which they can advance understanding of neighborhood effects. I also describe areas of caution in their implementation and outline how new innovations can advance the use of virtual audits for furthering understanding of neighborhood environments.

Indexed as

CitiesData CollectionHumansInventionsMichiganResidence CharacteristicsSocial Environmentdata collectiondisorderGoogle Street Viewneighborhoods

Identifiers

PMID28899029
PMCPMC5860277

What OpenQuestion holds

Textmetadata
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.