Suggestions(1)
Exact(4)
Models of sexually transmitted disease transmission dynamics (Beckwith et al. 2010; Jürgens et al. 2011) suggest that reducing or preventing infections in core risk groups, such as inmates, can greatly reduce transmission of HIV throughout the community.
Particularly when addressing male same-sex behavior in Latin America, failure to include men who do not identify with established GBT social settings and geographic locales provides a skewed understanding of risk behavior and disease prevalence, and neglects the men most likely to serve as a "bridge" between core risk groups and the general population.
In the early 2000s most HIV infections in Accra originated from contact with sex workers (Cote et al. 2004), with more recent spread from these core risk groups to the general population.
In addition, it is usually free for eligible individuals [ 82] whilst in North America and Europe the HIV epidemic remains focused often being 'hidden' amongst certain vulnerable, core risk groups with less access to healthcare despite disproportionally richer resources [ 6].
Similar(56)
HIV infection in Peru is concentrated within the core risk group of men who have sex with men (MSM).
This was alarming, considering the high likelihood that HIV or other STIs could be transmitted from a core risk group (FSWs) to the wives of these participants, particularly those of migrants.
Men who have sex with men (MSM) and transgender persons (TG) are among the most vulnerable core-risk groups affected by HIV.
Following the publication of the HPTN052 study [ 10] and the accompanying paradigm shift in HIV prevention approaches to using ART strategically for all people living with HIV to significantly reduce the risk of onward viral transmission, successful viral suppression amongst core risk-taking groups, which include Adolescent and young adult (AYA) living with HIV, has a renewed focus.
In settings with high prevalence in the general population, more transmission takes place among non-core individuals, but high risk groups can still be an important source of new infections [ 4- 6].
Differences in sexual network composition can produce different STI risks at the same behavioural risk levels, and such network composition differences for Black Americans include greater network density, higher rates of concurrent partnerships, and higher rates of mixing between core (i.e. high risk) groups and others[ 28].
The proposed model uses population stratification into risk groups based on CRGs, but develops its own weights for CRG core health statuses.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com