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Evidence for the Convergence Model: The Emergence of Highly Pathogenic Avian Influenza (H5N1) in Viet Nam.
Saksena, Sumeet; Fox, Jefferson; Epprecht, Michael; Tran, Chinh C; Nong, Duong H; Spencer, James H; Nguyen, Lam; Finucane, Melissa L; Tran, Vien D; Wilcox, Bruce A.
Afiliação
  • Saksena S; East-West Center, Honolulu, Hawaii, United States of America.
  • Fox J; East-West Center, Honolulu, Hawaii, United States of America.
  • Epprecht M; University of Bern, Bern, Switzerland.
  • Tran CC; East-West Center, Honolulu, Hawaii, United States of America.
  • Nong DH; East-West Center, Honolulu, Hawaii, United States of America.
  • Spencer JH; Clemson University, Clemson, South Carolina, United States of America.
  • Nguyen L; Vietnam National University of Agriculture, Hanoi, Vietnam.
  • Finucane ML; Rand Corporation, Pittsburgh, Pennsylvania, United States of America.
  • Tran VD; Vietnam National University of Agriculture, Hanoi, Vietnam.
  • Wilcox BA; Mahihdol University, Bangkok, Thailand.
PLoS One ; 10(9): e0138138, 2015.
Article em En | MEDLINE | ID: mdl-26398118
Building on a series of ground breaking reviews that first defined and drew attention to emerging infectious diseases (EID), the 'convergence model' was proposed to explain the multifactorial causality of disease emergence. The model broadly hypothesizes disease emergence is driven by the co-incidence of genetic, physical environmental, ecological, and social factors. We developed and tested a model of the emergence of highly pathogenic avian influenza (HPAI) H5N1 based on suspected convergence factors that are mainly associated with land-use change. Building on previous geospatial statistical studies that identified natural and human risk factors associated with urbanization, we added new factors to test whether causal mechanisms and pathogenic landscapes could be more specifically identified. Our findings suggest that urbanization spatially combines risk factors to produce particular types of peri-urban landscapes with significantly higher HPAI H5N1 emergence risk. The work highlights that peri-urban areas of Viet Nam have higher levels of chicken densities, duck and geese flock size diversities, and fraction of land under rice or aquaculture than rural and urban areas. We also found that land-use diversity, a surrogate measure for potential mixing of host populations and other factors that likely influence viral transmission, significantly improves the model's predictability. Similarly, landscapes where intensive and extensive forms of poultry production overlap were found at greater risk. These results support the convergence hypothesis in general and demonstrate the potential to improve EID prevention and control by combing geospatial monitoring of these factors along with pathogen surveillance programs.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aves / Virus da Influenza A Subtipo H5N1 / Influenza Aviária / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aves / Virus da Influenza A Subtipo H5N1 / Influenza Aviária / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2015 Tipo de documento: Article