ArticlePeerJ2020
Gini coefficients for measuring the distribution of sexually transmitted infections among individuals with different levels of sexual activity.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 8 citations in OpenAlex.
- Why Are Gonorrhea Case Rates Declining in the United States? A Research Agenda.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Review
- Cross-national disparities in non-communicable disease: a universal health coverage-based service coverage index perspective, 2000-2021.Frontiers in public health · 2026Article
- Equity of National Essential Public Health Services (NEPHS) in Mainland China, 2019: a cross-sectional study based on the NEPHS database.Globalization and health · 2025Article
- Assessing disparity in the distribution of HIV and sexually transmitted infections in Australia: a retrospective cross-sectional study using Gini coefficients.BMJ public health · 2023Article
- Inequality indices to monitor geographic differences in incidence, mortality and fatality rates over time during the COVID-19 pandemic.PloS one · 2021Article
- Investigating the Impact of Using an Alternate Classification Method for Race and Hispanic Ethnicity on Rates of Reported Gonorrhea.Sexually transmitted diseases · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesGini coefficients have been used to describe the distribution of
methodsWe used population-based data for sexually experienced women from two British National Surveys of Sexual Attitudes and Lifestyles (Natsal-2: 1999-2001; Natsal-3: 2010-2012) to calculate Gini coefficients for CT,
resultsGini coefficients for CT and MG were 0.33 (95% CI [0.18-0.49]) and 0.16 (95% CI [0.02-0.36]), respectively. The relatively small coefficient for MG suggests a longer infectious duration compared with CT. The coefficients for HPV types 6, 11, 16 and 18 ranged from 0.15 to 0.38. During the decade between Natsal-2 and Natsal-3, the Gini coefficient for CT did not change. The transmission model shows that higher STI treatment rates are expected to reduce prevalence and increase the Gini coefficient of STIs. In contrast, increased condom use reduces STI prevalence but does not affect the Gini coefficient.
conclusionsGini coefficients for STIs can help us to understand the distribution of STIs in the population, according to level of sexual activity, and could be used to inform STI prevention and treatment strategies.
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Registered trials
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