BackgroundMathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing patterns in eight European countries using a common paper-diary methodology.Methods and Findings7,290 participants recorded characteristics of 97,904 contacts with different individuals during one day, including age, sex, location, duration, frequency, and occurrence of physical contact. We found that mixing patterns and contact characteristics were remarkably similar across different European countries. Contact patterns were highly assortative with age: schoolchildren and young adults in particular tended to mix with people of the same age. Contacts lasting at least one hour or occurring on a daily basis mostly involved physical contact, while short duration and infrequent contacts tended to be nonphysical. Contacts at home, school, or leisure were more likely to be physical than contacts at the workplace or while travelling. Preliminary modelling indicates that 5- to 19-year-olds are expected to suffer the highest incidence during the initial epidemic phase of an emerging infection transmitted through social contacts measured here when the population is completely susceptible.ConclusionsTo our knowledge, our study provides the first large-scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close-contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.
Background
Lesbian, gay, bisexual, trans and intersex (LGBTI) people experience significant health inequalities. Located within a European Commission funded pilot project, this paper presents a review of the health inequalities faced by LGBTI people and the barriers health professionals encounter when providing care.
Methods
A narrative synthesis of 57 papers including systematic reviews, narrative reviews, meta-analyses and primary research. Literature was searched in Cochrane, Campbell Collaboration, Web of Science, CINAHL, PsychINFO and Medline. The review was undertaken to promote understanding of the causes and range of inequalities, as well as how to reduce inequalities.
Results
LGBTI people are more likely to experience health inequalities due to heteronormativity or heterosexism, minority stress, experiences of victimization and discrimination, compounded by stigma. Inequalities pertaining to LGBTI health(care) vary depending on gender, age, income and disability as well as between LGBTI groupings. Gaps in the literature remain around how these factors intersect to influence health, with further large-scale research needed particularly regarding trans and intersex people.
Conclusion
Health inequalities can be addressed via changes in policy, research and in practice through health services that accommodate the needs of LGBTI people. With improved training to address gaps in their knowledge of LGBTI health and healthcare, health professionals should work in collaboration with LGBTI people to address a range of barriers that prevent access to care. Through structural change combined with increased knowledge and understanding, services can potentially become more inclusive and equally accessible to all.
Substance and polydrug use during sexual encounters occurred amongst sampled MSM across Europe although varying greatly between study sites. Different local social norms within MSM communities may be important contextual drivers of drug use, highlighting the need for innovative and multi-faceted prevention measures to reduce HIV/STI risk in the context of drug use.
Most patients experience virologic rebound soon after cART interruption; however, although PTCs are rare, the results of this study confirm their existence.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.