Resources
Here you can search external resources from STOP Spillover's experts (tagged in blue) and resources developed by the STOP Spillover project (tagged in red).
We found 134 resources.
Introducing STOP Spillover (in Khmer)
This briefing book on Strategies to Prevent (STOP) Spillover outlines the project’s goals, the countries where it works, and its vision for priority countries across Africa and Asia to gain critical knowledge about spillover ecosystems and to refine and use that knowledge effectively, efficiently, and sustainably to reduce the risk of zoonotic viral spillover and spread.
Présentation de STOP SPILLOVER
Strategies to Prevent (STOP) Spillover, un projet financé par l'USAID et dirigé par la Tufts University, est un consortium mondial composé d'experts de la santé humaine, animale et environnementale qui développe une nouvelle approche dans la compréhension et la gestion des risques posés par les virus zoonotiques connus susceptibles de contaminer l'homme et de provoquer des épidémies et des pandémies.
This briefing book on Strategies to Prevent (STOP) Spillover outlines the project’s goals, the countries where it works, and its vision for priority countries across Africa and Asia to gain critical knowledge about spillover ecosystems and to refine and use that knowledge effectively, efficiently, and sustainably to reduce the risk of zoonotic viral spillover and spread.
Viet Nam Participatory Planning Using Outcome Mapping: Summary Report
Through Outcome Mapping (OM), a structured participatory tool that uses a bottom-up collaborative process, spillover ecosystem stakeholders (both traditional and non-traditional) are empowered to identify and reduce zoonotic spillover risks at human-animal-environment interfaces and develop an outcome-oriented project action plan. This report outlines the details of the OM workshop activities in Viet Nam.
Bangladesh Participatory Planning Using Outcome Mapping: Summary Report
Through outcome mapping (OM), a structured participatory tool that uses a collaborative context-specific process, spillover ecosystem stakeholders (both traditional and nontraditional) are empowered to identify and reduce zoonotic spillover risks at human-animal-environment interfaces and develop an outcome-oriented project action plan. This report outlines the details of the OM activities held in Bangladesh.
Liberia Participatory Planning Using Outcome Mapping: Summary Report
Through outcome mapping (OM), a structured participatory tool that uses a collaborative context-specific process, spillover ecosystem stakeholders (both traditional and non-traditional) are empowered to identify and reduce zoonotic spillover risks at human-animal-environment interfaces and develop an outcome-oriented project action plan. This report outlines the details of the OM workshop activities in Liberia.
The participatory nature of the outcome mapping (OM) process applied by STOP Spillover leverages a broad range of in-country stakeholders to identify potential interventions to reduce the risk of spillover at prioritized interfaces, along with addressing knowledge gaps and challenges that limit intervention design.
STOP Spillover's first year was defined by its deep engagement with countries, key stakeholders, and communities. Their contributions and guidance have helped ensure that STOP Spillover's approach is inclusive and will have a sustainable impact on decreasing risk of zoonotic viral spillover.
The future of zoonotic risk prediction
Carlson, C.J., Farrell, M.J., Grange, Z., et al. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1837). https://doi.org/10.1098/rstb.2020.0358.
Sporadic Rift Valley Fever outbreaks in humans and animals in Uganda, October 2017—January 2018
Birungi, D., Aceng, F.L., Bulage, L., Nkonwa, I.H., Mirembe, B.B., Biribawa, C., et al. DOI: 10.1155/2021/8881191.
A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa
Wilkinson, E., Giovanetti, M., Tegally, H., San, J.E., Lessells, R., Cuadros, D., et al. Science, 374(6566): 423-431. doi: 10.1126/Science.Abj4336.
The origins and future of Sentinel: an early-warning system for pandemic preemption and response
Botti-Lodovico, Y., Nai, P., Nosamiefan, D., Stremlau, M., Schaffner, S., Agignoae, S.V., et al. Viruses, 13(8):1605. doi: 10.3390/v13081605.
The One Health-Design Research and Mentorship Working Groups (OH-DReaM) are technical groups formed at the country level. They consist of Strategies to Prevent (STOP) Spillover Country Team members, local stakeholders, and STOP Spillover Resource Hub members who have technical expertise in specific issue areas – working together to address a specific thematic area, help close an information or data gap, or develop an intervention.
Birungi, D., Tumwine, G., Kato, C.D. et al. BMC Infect Dis 21, 669. https://doi.org/10.1186/s12879-021-06337-8.
Anahtar, M.N., Shaw, B.M. Slater, D., Byrne, E.H., Botti-Lodovico,Y., Adams, A., et al. J Clin Pathol, (74): 496–503. http://dx.doi.org/10.1136/jclinpath-2020-207128.
Outcome Mapping (OM) is a structured participatory tool that uses a bottom-up collaborative process to engage all Spillover Ecosystem stakeholders (both traditional and non-traditional). OM recognizes that development, at its core, focuses on how people and stakeholders relate to one another and their environment. The process of inclusive development allows stakeholders to drive the change and own the process, which builds towards self-reliance and sustainability.
Kim A. Lagerborg, Erica Normandin, Matthew R. Bauer, Gordon Adams, Katherine Figueroa, Christine Loreth, Adrianne Gladden-Young, Bennett Shaw, Leah Pearlman. bioRxiv. doi: https://doi.org/10.1101/2021.03.16.435654.
Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events
Lemieux, J.E., Siddle, K.J., Shaw, B.M., Loreth, C., Schaffner, S.F., Gladden-Young, A., et al. Science, 371(6529). DOI: 10.1126/science.abe3261.
Sikder, M., Naumova, E.N., Ogudipe, A., Gomez, M., Lantagne, D. International Journal of Environmental Research and Public Health, 18(5): 2353. https://doi.org/10.3390/ijerph18052353.
Completeness of open access FluNet surveillance data
Simpson, R.B., Gottleib, J., Zhou, B., Hartwick, M.A., Naumova, E.N. Scientific Reports,11: 795. https://www.nature.com/articles/s41598-020-80842-9.