Rebecca E. Ramshaw

As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover.

Mental health (MH) diagnoses, which are prevalent among persons living with HIV infection, might be linked to failed retention in HIV care. This review synthesized the quantitative evidence regarding associations between MH diagnoses or symptoms and retention in HIV care, as well as determined if MH service utilization (MHSU) is associated with improved retention in HIV care. A comprehensive search of the Centers for Disease Control and Prevention's HIV/AIDS Prevention Research Synthesis database of electronic (e.g., MEDLINE, EMBASE, PsycINFO) and manual searches was conducted to identify relevant studies published during January 2002-August 2017. Effect estimates from individual studies were pooled by using random-effects meta-analysis, and a moderator analysis was conducted. Forty-five studies, involving approximately 57,334 participants in total, met the inclusion criteria: 39 examined MH diagnoses or symptoms, and 14 examined MHSU. Overall, a significant association existed between MH diagnoses or symptoms, and lower odds of being retained in HIV care (odds ratio, OR = 0.94; 95% confidence interval [CI] [0.90, 0.99]). Health insurance status (β = 0.004; Z = 3.47; p = .001) significantly modified the association between MH diagnoses or symptoms and retention in HIV care. In addition, MHSU was associated with an increased odds of being retained in HIV care (OR = 1.84; 95% CI [1.45, 2.33]). Results indicate that MH diagnoses or symptoms are a barrier to retention in HIV care and emphasize the importance of providing MH treatment to HIV patients in need. (PsycINFO Database Record