Background: Pre-exposure prophylaxis(PrEP) prevents human immunodeficiency virus(HIV) infection, but its use remains low among U.S. military men who have sex with men(MSM), likely due to mis-matching with personal pre...Background: Pre-exposure prophylaxis(PrEP) prevents human immunodeficiency virus(HIV) infection, but its use remains low among U.S. military men who have sex with men(MSM), likely due to mis-matching with personal preferences. We conducted a study to characterize preferences to PrEP measures within this population.Methods: HIV-negative military MSM were recruited through a closed, Lesbian, Gay, Bisexual, and Transgendered(LGBT) military social media group. The survey was anonymous, and consisted of five experimentally varied attributes in service delivery: dosing method, provider type, visit location, lab work evaluation location, and dispensing venue.Relative importance and part-worth utility scores were generated using hierarchical bayes(HB) estimation, and the randomized first choice model was used to examine participation interest across eight possible PrEP program scenarios.Results: A total of 429 participants completed the survey. Among the eight scenarios with varying attributes, the most preferred scenario featured a daily tablet, PrEP injection or implant, along with a military provider, smartphone/telehealth visit, and on-base locations for lab evaluation and medication pick-up. The results also emphasized the importance for providers to be familiar with PrEP prescription knowledge, and to provide interactions sensitive to sexual identity and mental health.Conclusions: A PrEP program consisting of daily tablet is preferred in military healthcare settings is preferred. Longacting implants and injections are also desired.展开更多
At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva fr...At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-展开更多
The fast-developing intelligent infrastructure landscape catalyzes transformative new relationships of human,technology,and environment and requires new socio-technical configurations of information practice and knowl...The fast-developing intelligent infrastructure landscape catalyzes transformative new relationships of human,technology,and environment and requires new socio-technical configurations of information practice and knowledge work.With a focus on data as the source of intelligence,this paper aims to explore the shifting scenarios and indicative features of data science solutions for intelligent system applications and identify the evolving knowledge spaces and integrative learning practices in the“smart”landscape.It projects and discusses the democratization of data science platforms,the distribution of data intelligence on the edge,and the transition from vertical to horizontal data solutions in solving intelligent system problems.Through mapping the changing data research landscape,this work further reveals essential new roles of knowledge architects and social engineers in enabling dynamic data linking,interaction,and exploration for transdisciplinary data convergence.展开更多
基金supported by the National Institute of Nursing Research (NINR),under award number 1F31NR018620-01A1supported by the National Institute of Mental Health (NIMH),Center for HIV Identification,Prevention,and Treatment Services (CHIPTS) under award number P30MH059107。
文摘Background: Pre-exposure prophylaxis(PrEP) prevents human immunodeficiency virus(HIV) infection, but its use remains low among U.S. military men who have sex with men(MSM), likely due to mis-matching with personal preferences. We conducted a study to characterize preferences to PrEP measures within this population.Methods: HIV-negative military MSM were recruited through a closed, Lesbian, Gay, Bisexual, and Transgendered(LGBT) military social media group. The survey was anonymous, and consisted of five experimentally varied attributes in service delivery: dosing method, provider type, visit location, lab work evaluation location, and dispensing venue.Relative importance and part-worth utility scores were generated using hierarchical bayes(HB) estimation, and the randomized first choice model was used to examine participation interest across eight possible PrEP program scenarios.Results: A total of 429 participants completed the survey. Among the eight scenarios with varying attributes, the most preferred scenario featured a daily tablet, PrEP injection or implant, along with a military provider, smartphone/telehealth visit, and on-base locations for lab evaluation and medication pick-up. The results also emphasized the importance for providers to be familiar with PrEP prescription knowledge, and to provide interactions sensitive to sexual identity and mental health.Conclusions: A PrEP program consisting of daily tablet is preferred in military healthcare settings is preferred. Longacting implants and injections are also desired.
文摘At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-
文摘The fast-developing intelligent infrastructure landscape catalyzes transformative new relationships of human,technology,and environment and requires new socio-technical configurations of information practice and knowledge work.With a focus on data as the source of intelligence,this paper aims to explore the shifting scenarios and indicative features of data science solutions for intelligent system applications and identify the evolving knowledge spaces and integrative learning practices in the“smart”landscape.It projects and discusses the democratization of data science platforms,the distribution of data intelligence on the edge,and the transition from vertical to horizontal data solutions in solving intelligent system problems.Through mapping the changing data research landscape,this work further reveals essential new roles of knowledge architects and social engineers in enabling dynamic data linking,interaction,and exploration for transdisciplinary data convergence.