Expert interviews from the International Workshop in Trento, Italy in September 2022

Interview with Peter Hudson
10.5446/59437(DOI)
Keywords: Conservation ; Pre-emergence prevention ; Surveillance ; Spillover ; Public Health ; One Health ; Science ; Biology
Interview with Anna Ruggieri
10.5446/59504 (DOI)
Keywords: Gender ; Infectious diseases ; Sex-related factors ; Public Health ; One Health ; Disease Prevention ; Disease Surveillance
Interview with Donal Bisanzio
10.5446/59551 (DOI)
Keywords: Climate drivers ; Data ; Climate data ; Model ; Epidemiology ; Disease ; International collaboration
Interview with Emily Gurley
10.5446/59555 (DOI)
Keywords: Spillover ; Surveillance ; Prevention ; One Health ; Public Health ; Emerging Zoonotic Threats ; Nipah virus ; Infectious diseases ; Children
Dr. Gurley leads multi-disciplinary studies on the transmission, burden and epidemiology of a variety of emerging and vaccine preventable diseases, taking into account the ecological context in which human disease occurs. Her interests include improving the communication and collaboration between field epidemiologists and infectious disease modelers and development of novel surveillance and outbreak detection strategies. She has been working to describe the ecology and epidemiology of Nipah virus since 2004, including identifying transmission pathways and drivers of person-to-person transmission, and designing and testing interventions to prevent human infection. She currently serves on WHO’s Nipah Virus Taskforce, advising on the research and development of medical countermeasures. Her research adopts a One Health approach to the study and prevention of infectious disease, taking into account the ecological context in which human disease occurs. Emily is the Co-Director for the Child Health and Mortality Prevention Surveillance (CHAMPS) site in Bangladesh, aiming to determine the etiology of and prevent child deaths. She also works closely with the US Centers for Disease Control and Prevention’s Global Disease Detection program. During the MOOD international workshop in Trento, she gave a captivating presentation about Spillover Surveillance and the One Health Response. Following this presentation, she was asked a few questions regarding her work, communicating practises between institutions and disease prevention in children by MOOD’s Working Package 8 OpenGeoHub’s communication experts.
Expert interviews from the MOOD Science Webinars

Interview with Alexandre Hobeika
Alexandre Hobeika is a researcher in political science and sociology. He works on the coordination of actors for the governance of health risks, using the One Health approach. He has recently focused on Covid-19, antimicrobial resistance, and African swine fever. He presented the results of a socio-political study about the relationships between modelers and decision-makers during the Covid-19 crisis, at the national level in Finland and France. While these countries have been affected by and responded to the pandemic in different manners, many reported points of tension between science and policy have been similar: a narrow political framing and governance of the crisis, claims of political instrumentalization of science, fraught debates among scientists. Then he layed out possible avenues for a better preparation of the science-policy collaboration, based on the stakeholders’ feedbacks of these results. Following this presentation, he was asked a few questions by MOOD’s Working Package 8 OpenGeoHub’s communication experts.
Interview with Timothée Dub
Timothée Dub is a senior expert in the department of Health security of the Finnish Institute for Health and Welfare (THL). His activities mainly focus on vector-borne, emerging infectious and vaccine-preventable diseases, as well as outbreaks investigations. Timothée presented his latest work on a large-scale sectional study conducted in 2021 about the state-of-art of epidemic intelligence activities among national public and animal health agencies in Europe. The study was conducted as part of the MOnitoring Outbreaks for Disease surveillance in a Data science context (MOOD – Horizon-2020). The study will be published in 2023. Following this presentation, he was asked a few questions by MOOD’s Working Package 8 OpenGeoHub’s communication experts.