Ecology and geography of avian influenza (HPAI H5N1) transmission in the Middle East and northeastern Africa

BackgroundThe emerging highly pathogenic avian influenza strain H5N1 ("HPAI-H5N1") has spread broadly in the past decade, and is now the focus of considerable concern. We tested the hypothesis that spatial distributions of HPAI-H5N1 cases are related consistently and predictably to coarse-scale environmental features in the Middle East and northeastern Africa.We used ecological niche models to relate virus occurrences to 8 km resolution digital data layers summarizing parameters of monthly surface reflectance and landform. Predictive challenges included a variety of spatial stratification schemes in which models were challenged to predict case distributions in broadly unsampled areas.ResultsIn almost all tests, HPAI-H5N1 cases were indeed occurring under predictable sets of environmental conditions, generally predicted absent from areas with low NDVI values and minimal seasonal variation, and present in areas with a broad range of and appreciable seasonal variation in NDVI values. Although we documented significant predictive ability of our models, even between our study region and West Africa, case occurrences in the Arabian Peninsula appear to follow a distinct environmental regime.ConclusionOverall, we documented a variable environmental "fingerprint" for areas suitable for HPAI-H5N1 transmission.

[1]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[2]  J. Douglas Faires,et al.  Numerical Analysis , 1981 .

[3]  A. O. Nicholls,et al.  Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species , 1990 .

[4]  R. H. Hughes,et al.  A directory of African wetlands. , 1992 .

[5]  David R. B. Stockwell,et al.  Induction of sets of rules from animal distribution data: a robust and informative method of data analysis , 1992 .

[6]  R. Webster,et al.  A pandemic warning? , 1997, Nature.

[7]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[8]  S. Manel,et al.  Alternative methods for predicting species distribution: an illustration with Himalayan river birds , 1999 .

[9]  David R. B. Stockwell,et al.  The GARP modelling system: problems and solutions to automated spatial prediction , 1999, Int. J. Geogr. Inf. Sci..

[10]  A. Peterson,et al.  Ecologic niche modeling and differentiation of populations of Triatoma brasiliensis neiva, 1911, the most important Chagas' disease vector in northeastern Brazil (hemiptera, reduviidae, triatominae). , 2002, The American journal of tropical medicine and hygiene.

[11]  T. Dawson,et al.  SPECIES: A Spatial Evaluation of Climate Impact on the Envelope of Species , 2002 .

[12]  A. Peterson,et al.  Predicting the potential invasive distributions of four alien plant species in North America , 2003, Weed Science.

[13]  R. Webster,et al.  Are We Ready for Pandemic Influenza? , 2003, Science.

[14]  M. S. El-Din,et al.  The Poultry Sector in Middle-Income Countries and Its Feed Requirements: The Case of Egypt , 2003 .

[15]  Robert P. Anderson,et al.  Evaluating predictive models of species’ distributions: criteria for selecting optimal models , 2003 .

[16]  G. Carpenter,et al.  DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals , 1993, Biodiversity & Conservation.

[17]  R. Webster,et al.  H5N1 influenza: a protean pandemic threat. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[18]  G. Gao,et al.  Highly Pathogenic H5N1 Influenza Virus Infection in Migratory Birds , 2005, Science.

[19]  A. Peterson,et al.  INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS , 2005 .

[20]  Y. Guan,et al.  H 5 N 1 influenza : A protean pandemic threat , 2005 .

[21]  S. Dowell,et al.  Human Disease from Influenza A (H5N1), Thailand, 2004 , 2005, Emerging infectious diseases.

[22]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[23]  P. Daszak,et al.  Predicting the global spread of H5N1 avian influenza , 2006, Proceedings of the National Academy of Sciences.

[24]  H-X Chen,et al.  Seroprevalance and identification of influenza A virus infection from migratory wild waterfowl in China (2004-2005). , 2006, Journal of veterinary medicine. B, Infectious diseases and veterinary public health.

[25]  S. Tsiodras Suspect Human Cases During the Period of Confirmed Avian Influenza A (H5N1) in Migratory Birds in Greece , 2006 .

[26]  M. Gilbert,et al.  Anatidae Migration in the Western Palearctic and Spread of Highly Pathogenic Avian Influenza H5N1 Virus , 2006, Emerging infectious diseases.

[27]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[28]  A. Peterson,et al.  Ecologic Niche Modeling and Spatial Patterns of Disease Transmission , 2006, Emerging infectious diseases.

[29]  Jason K. Blackburn,et al.  Does GARP really fail miserably? A response to Stockman et al. (2006 ) , 2006 .

[30]  Y. Kawaoka,et al.  Properties and Dissemination of H5N1 Viruses Isolated during an Influenza Outbreak in Migratory Waterfowl in Western China , 2006, Journal of Virology.

[31]  W. Fiedler,et al.  The Epidemiology of H5N1 Avian Influenza in Wild Birds: Why We Need Better Ecological Data , 2006 .

[32]  A. Osterhaus,et al.  Global Patterns of Influenza A Virus in Wild Birds , 2006, Science.

[33]  G. Cattoli,et al.  Field and laboratory findings of the first incursion of the Asian H5N1 highly pathogenic avian influenza virus in Africa , 2007, Avian pathology : journal of the W.V.P.A.

[34]  A. Peterson,et al.  Highly Pathogenic H5N1 Avian Influenza: Entry Pathways into North America via Bird Migration , 2007, PloS one.

[35]  Omri Allouche,et al.  A comparative evaluation of presence‐only methods for modelling species distribution , 2007 .

[36]  A. Townsend Peterson,et al.  Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent , 2007 .

[37]  A. Peterson,et al.  Speciation in the highlands of Mexico: genetic and phenotypic divergence in the Mexican jay (Aphelocoma ultramarina) , 2008, Molecular ecology.

[38]  A. Peterson,et al.  Predictable ecology and geography of avian influenza (H5N1) transmission in Nigeria and West Africa. , 2008, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[39]  A. Townsend Peterson,et al.  Rethinking receiver operating characteristic analysis applications in ecological niche modeling , 2008 .

[40]  M. Gilbert,et al.  Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia , 2008, Proceedings of the National Academy of Sciences.

[41]  Mary A. E. Twing Twice Around the World , 2010 .