Evidence map›Paper›PMID 28078318›Full record

ArticleStatistics and public policy (Philadelphia, Pa.)2015

Geographical Clusters of Rape in the United States: 2000-2012.

Raid Amin, Nicole S Nabors, Arlene M Nelson, Murshid Saqlain, Martin Kulldorff

Open access · goldAbstract read
In one paragraph

Article in Statistics and public policy (Philadelphia, Pa.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 1 institution in 1 country.

Raid AminDepartment of Mathematics and Statistics, University of West Florida, Pensacola, FL, USA.
Nicole S NaborsDepartment of Mathematics and Statistics, University of West Florida, Pensacola, FL, USA.
Arlene M NelsonDepartment of Mathematics and Statistics, University of West Florida, Pensacola, FL, USA.
Murshid SaqlainDepartment of Mathematics and Statistics, University of West Florida, Pensacola, FL, USA.
Martin KulldorffDivision of Pharmacoepidemiology and Phramacoeconomics, Harvard Medical School and Brigham and Women's Hospital, Boston, MA.
University of West Florida · US

Funding

SaTScan: Spatial Scan Statistic Surveillance Software IIR01CA165057 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI KULLDORFF, MARTIN · 2012 to 2016
$1.1M
NCI NIH HHS R01 CA165057
6 · The paper itself

Abstract

backgroundWhile rape is a very serious crime and public health problem, no spatial mapping has been attempted for rape on the national scale. This paper addresses the three research questions: (1) Are reported rape cases randomly distributed across the USA, after being adjusted for population density and age, or are there geographical clusters of reported rape cases? (2) Are the geographical clusters of reported rapes still present after adjusting for differences in poverty levels? (3) Are there geographical clusters where the proportion of reported rape cases that lead to an arrest is exceptionally low or exceptionally high?

methodsWe studied the geographical variation of reported rape events (2003-2012) and rape arrests (2000-2012) in the 48 contiguous states of the USA. The disease Surveillance software SaTScan™ with its spatial scan statistic is used to evaluate the spatial variation in rapes. The spatial scan statistic has been widely used as a geographical surveillance tool for diseases, and we used it to identify geographical areas with clusters of reported rape and clusters of arrest rates for rape.

resultsThe spatial scan statistic was used to identify geographical areas with exceptionally high rates of reported rape. The analyses were adjusted for age, and in secondary analyses, for both age and poverty level. We also identified geographical areas with either a low or a high proportion of reported rapes leading to an arrest.

conclusionsWe have identified geographical areas with exceptionally high (low) rates of reported rape. The geographical problem areas identified are prime candidates for more intensive preventive counseling and criminal prosecution efforts by public health, social service, and law enforcement agencies Geographical clusters of high rates of reported rape are prime areas in need of expanded implementation of preventive measures, such as changing attitudes in our society toward rape crimes, in addition to having the criminal justice system play an even larger role in preventing rape.

Identifiers

PMID28078318
PMCPMC5221697
OpenAlexW1920233291

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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.