Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

Preterm delivery and premature rupture of membranes after conization in 80 women. Preliminary data.

Minerva Ginecol. 2008 Aug;60(4):295-8. Preterm delivery and premature rupture of membranes after conization in 80 women. Preliminary data. Patrelli TS, Anfuso S, Vandi F, Valitutto S, Migliore M, Salvati MA, De Ioris A, Condemi V, Fadda GM, Bacchi Modena A, Nardelli GB. SourceDepartment of Obstetrics, Gynecology and Neonatology, University of Parma, Parma, Italy. [email protected] Abstract AIM: Cervical intraepithelial neoplasia is most frequently in young women in reproductive age. Cold knife conization, laser ablation, laser conization and large loop excision are conservative methods of treatment to remove the transformation zone and preserve the cervical function. Previous studies have shown conflicting results on the outcomes of pregnancy following these therapies that might increase the risk of preterm delivery. The purpose of this study was to evaluate the outcome of pregnancy after conization and its role as predictive risk factor. METHODS: A retrospective study was performed. The study group comprised 80 women who had a conization and that had a subsequent singleton pregnancy. Variables considered includes maternal excision date, surgery procedure, previous surgery treatments, time interval between excisional procedure and subsequent pregnancy; duration and week of pregnancy, mode of delivery, histological grading (no cervical intraepithelial neoplasia [CIN], CIN 1, CIN 2-3) and cone excised depth. RESULTS: In group study 45 women underwent loop electrosurgical excision procedure (LEEP) conization, 32 cold knife conization and 3 laser CO2. The authors found 11 cases of cone tissue depth1 cm. Eight preterm delivery have been reported to data: 5 between 28 and 34 weeks, 2 lower than 28 weeks and 1 between 34 and 37 weeks. CONCLUSION: In these preliminary data the percentage of preterm birth appears as 10% and in range 6-15% evaluated for women not submitted to excisional procedure

Sylvatic Transmission of Chikungunya Virus among Nonhuman Primates in Myanmar - Volume 28, Number 12—December 2022 - Emerging Infectious Diseases journal - CDC

Nonhuman primates living in proximity to humans increase risks for sylvatic arbovirus transmission. We collected serum samples from nonhuman primates in Hlawga National Park near Yangon, Myanmar, and detected antibodies against chikungunya (33%) and Japanese encephalitis (4%) viruses. Buffer zones between primate and human communities might reduce cross-species arbovirus transmission

Predicting the potential for zoonotic transmission and host associations for novel viruses.

Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses