Translating Predictions of Zoonotic Viruses for Policymakers

Autor: Julius Nwobegahay, Trevon Fuller, Matthew LeBreton, Godwin W Nchinda, Thomas B. Smith, Judith N. Torimiro, Abel Wade, Timothy F. Brewer, Kevin Y. Njabo, Jean-Marc Feussom Kameni, Richard Njouom, Risa M Hoffman, Elsa Dibongue, Joseph Le Doux Diffo, Severin Loul, Jean Michel Takuo, Seth D. Judson
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zika virus disease
Rift Valley Fever
Health
Toxicology and Mutagenesis

viruses
Geographic Mapping
Filoviridae
Disease
medicine.disease_cause
Ebola virus
0302 clinical medicine
Zoonoses
2.2 Factors relating to the physical environment
Marburg Virus Disease
030212 general & internal medicine
Cameroon
Viral
Aetiology
Policy Making
Arenaviridae
Disease surveillance
biology
Ecology
Hemorrhagic Fevers
Geography
Infectious Diseases
Ebola
Viruses
Public Health and Health Services
Infection
Virus diseases
Crimean
Risk
Bunyaviridae
030231 tropical medicine
Wild
Bioengineering
Animals
Wild

Vaccine Related
03 medical and health sciences
Lassa Fever
medicine
Animals
Humans
Veterinary Sciences
Environmental planning
Prevention
Outbreak
Hemorrhagic Fever
Ebola

biology.organism_classification
medicine.disease
Hemorrhagic fevers
Emerging Infectious Diseases
Good Health and Well Being
Animal ecology
Hemorrhagic Fever
Hemorrhagic Fever
Crimean
Zdroj: Judson, SD; LeBreton, M; Fuller, T; Hoffman, RM; Njabo, K; Brewer, TF; et al.(2018). Translating Predictions of Zoonotic Viruses for Policymakers. ECOHEALTH, 15(1), 52-62. doi: 10.1007/s10393-017-1304-3. UCLA: Retrieved from: http://www.escholarship.org/uc/item/8123z0qq
EcoHealth, vol 15, iss 1
Popis: Recent outbreaks of Ebola virus disease and Zika virus disease highlight the need for disseminating accurate predictions of emerging zoonotic viruses to national governments for disease surveillance and response. Although there are published maps for many emerging zoonotic viruses, it is unknown if there is agreement among different models or if they are concordant with national expert opinion. Therefore, we reviewed existing predictions for five high priority emerging zoonotic viruses with national experts in Cameroon to investigate these issues and determine how to make predictions more useful for national policymakers. Predictive maps relied primarily on environmental parameters and species distribution models. Rift Valley fever virus and Crimean-Congo hemorrhagic fever virus predictions differed from national expert opinion, potentially because of local livestock movements. Our findings reveal that involving national experts could elicit additional data to improve predictions of emerging pathogens as well as help repackage predictions for policymakers.
Databáze: OpenAIRE