<commit_before>
@article{Hogerwerf2010a,
  title = {Persistence of {{Highly Pathogenic Avian Influenza H5N1 Virus Defined}} by {{Agro}}-{{Ecological Niche}}},
  volume = {7},
  issn = {1612-9202, 1612-9210},
  doi = {10.1007/s10393-010-0324-z},
  language = {en},
  timestamp = {2015-09-23T11:00:04Z},
  number = {2},
  urldate = {2015-09-23},
  journal = {EcoHealth},
  author = {Hogerwerf, <NAME> Wallace, <NAME> <NAME> Slingenbergh, <NAME>, <NAME>, <NAME> <NAME>},
  month = jun,
  year = {2010},
  keywords = {agro-ecology,Ecosystems,Environmental Health,Environmental Management,Environment; general,epidemiology,global ecology,H5N1,Highly Pathogenic Avian Influenza,KEY4,Microbiology,Public Health/Gesundheitswesen},
  pages = {213--225},
  file = {Hogerwerf et al. - 2010 - Persistence of Highly Pathogenic Avian Influenza H.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/ZFN4M86R/Hogerwerf et al. - 2010 - Persistence of Highly Pathogenic Avian Influenza H.pdf:application/pdf}
}

@article{Gilbert2014a,
  title = {Predicting the Risk of Avian Influenza {{A H7N9}} Infection in Live-Poultry Markets across {{Asia}}},
  volume = {5},
  copyright = {\textcopyright{} 2014 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
  doi = {10.1038/ncomms5116},
  abstract = {Two epidemic waves of an avian influenza A (H7N9) virus have so far affected China. Most human cases have been attributable to poultry exposure at live-poultry markets, where most positive isolates were sampled. The potential geographic extent of potential re-emerging epidemics is unknown, as are the factors associated with it. Using newly assembled data sets of the locations of 8,943 live-poultry markets in China and maps of environmental correlates, we develop a statistical model that accurately predicts the risk of H7N9 market infection across Asia. Local density of live-poultry markets is the most important predictor of H7N9 infection risk in markets, underscoring their key role in the spatial epidemiology of H7N9, alongside other poultry, land cover and anthropogenic predictor variables. Identification of areas in Asia with high suitability for H7N9 infection enhances our capacity to target biosurveillance and control, helping to restrict the spread of this important disease.},
  language = {en},
  timestamp = {2015-09-22T14:32:06Z},
  urldate = {2015-09-22},
  journal = {Nature Communications},
  author = {<NAME> <NAME> and <NAME> and Robinson, <NAME>. and Tatem, <NAME>. and <NAME> and Zhou, Sheng and <NAME> and Guo, Danhuai and Huang, Zhi and Messina, <NAME>. and Xiao, Xiangming and <NAME> and <NAME>, <NAME>. and Martin, Vincent and Bhatt, Samir and Gething, <NAME>. and Farrar, <NAME>. and Hay, <NAME>. and <NAME>},
  month = jun,
  year = {2014},
  keywords = {Biological sciences,Ecology,H7N9,KEY5,Virology},
  pages = {4116},
  file = {Gilbert et al. - 2014 - Predicting the risk of avian influenza A H7N9 infe.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/8JHVB478/Gilbert et al. - 2014 - Predicting the risk of avian influenza A H7N9 infe.pdf:application/pdf;2014GilbertNcommsSI.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/FZVB6Z3G/2014GilbertNcommsSI.pdf:application/pdf}
}

@article{Gilbert2008,
  title = {Mapping {{H5N1}} Highly Pathogenic Avian Influenza Risk in {{Southeast Asia}}},
  volume = {105},
  issn = {0027-8424, 1091-6490},
  doi = {10.1073/pnas.0710581105},
  abstract = {The highly pathogenic avian influenza (HPAI) H5N1 virus that emerged in southern China in the mid-1990s has in recent years evolved into the first HPAI panzootic. In many countries where the virus was detected, the virus was successfully controlled, whereas other countries face periodic reoccurrence despite significant control efforts. A central question is to understand the factors favoring the continuing reoccurrence of the virus. The abundance of domestic ducks, in particular free-grazing ducks feeding in intensive rice cropping areas, has been identified as one such risk factor based on separate studies carried out in Thailand and Vietnam. In addition, recent extensive progress was made in the spatial prediction of rice cropping intensity obtained through satellite imagery processing. This article analyses the statistical association between the recorded HPAI H5N1 virus presence and a set of five key environmental variables comprising elevation, human population, chicken numbers, duck numbers, and rice cropping intensity for three synchronous epidemic waves in Thailand and Vietnam. A consistent pattern emerges suggesting risk to be associated with duck abundance, human population, and rice cropping intensity in contrast to a relatively low association with chicken numbers. A statistical risk model based on the second epidemic wave data in Thailand is found to maintain its predictive power when extrapolated to Vietnam, which supports its application to other countries with similar agro-ecological conditions such as Laos or Cambodia. The model's potential application to mapping HPAI H5N1 disease risk in Indonesia is discussed.},
  language = {en},
  timestamp = {2015-09-23T09:00:49Z},
  number = {12},
  urldate = {2015-09-23},
  journal = {Proceedings of the National Academy of Sciences},
  author = {<NAME> <NAME> Pfeiffer, <NAME> <NAME>, <NAME>, Jan},
  month = mar,
  year = {2008},
  keywords = {animal husbandry,epidemiology,H5N1,KEY4,remote sensing,spatial modeling},
  pages = {4769--4774},
  file = {Gilbert et al. - 2008 - Mapping H5N1 highly pathogenic avian influenza ris.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/42G4TT4V/Gilbert et al. - 2008 - Mapping H5N1 highly pathogenic avian influenza ris.pdf:application/pdf},
  pmid = {18362346}
}
<commit_msg>publication list update<commit_after>
@article{Hogerwerf2010a,
  title = {Persistence of {{Highly Pathogenic Avian Influenza H5N1 Virus Defined}} by {{Agro}}-{{Ecological Niche}}},
  volume = {7},
  issn = {1612-9202, 1612-9210},
  doi = {10.1007/s10393-010-0324-z},
  language = {en},
  timestamp = {2015-09-23T11:00:04Z},
  number = {2},
  urldate = {2015-09-23},
  journal = {EcoHealth},
  author = {Hogerwerf, <NAME> Wallace, <NAME> <NAME> Slingenbergh, <NAME>, <NAME>, <NAME> <NAME>},
  month = jun,
  year = {2010},
  keywords = {agro-ecology,Ecosystems,Environmental Health,Environmental Management,Environment; general,epidemiology,global ecology,H5N1,Highly Pathogenic Avian Influenza,KEY4,Microbiology,Public Health/Gesundheitswesen},
  pages = {213--225},
  file = {Hogerwerf et al. - 2010 - Persistence of Highly Pathogenic Avian Influenza H.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/ZFN4M86R/Hogerwerf et al. - 2010 - Persistence of Highly Pathogenic Avian Influenza H.pdf:application/pdf}
}

@article{Gilbert2014a,
  title = {Predicting the Risk of Avian Influenza {{A H7N9}} Infection in Live-Poultry Markets across {{Asia}}},
  volume = {5},
  copyright = {\textcopyright{} 2014 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
  doi = {10.1038/ncomms5116},
  abstract = {Two epidemic waves of an avian influenza A (H7N9) virus have so far affected China. Most human cases have been attributable to poultry exposure at live-poultry markets, where most positive isolates were sampled. The potential geographic extent of potential re-emerging epidemics is unknown, as are the factors associated with it. Using newly assembled data sets of the locations of 8,943 live-poultry markets in China and maps of environmental correlates, we develop a statistical model that accurately predicts the risk of H7N9 market infection across Asia. Local density of live-poultry markets is the most important predictor of H7N9 infection risk in markets, underscoring their key role in the spatial epidemiology of H7N9, alongside other poultry, land cover and anthropogenic predictor variables. Identification of areas in Asia with high suitability for H7N9 infection enhances our capacity to target biosurveillance and control, helping to restrict the spread of this important disease.},
  language = {en},
  timestamp = {2015-09-22T14:32:06Z},
  urldate = {2015-09-22},
  journal = {Nature Communications},
  author = {<NAME> <NAME> and <NAME> and Robinson, <NAME>. and Tatem, <NAME>. and <NAME> and Zhou, Sheng and <NAME> and Guo, Danhuai and Huang, Zhi and Messina, <NAME>. and Xiao, Xiangming and <NAME> and <NAME>, <NAME>. and Martin, Vincent and Bhatt, Samir and Gething, <NAME>. and Farrar, <NAME>. and Hay, <NAME>. and <NAME>},
  month = jun,
  year = {2014},
  keywords = {Biological sciences,Ecology,H7N9,KEY5,livestock-diseases,Virology},
  pages = {4116},
  file = {Gilbert et al. - 2014 - Predicting the risk of avian influenza A H7N9 infe.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/8JHVB478/Gilbert et al. - 2014 - Predicting the risk of avian influenza A H7N9 infe.pdf:application/pdf;2014GilbertNcommsSI.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/FZVB6Z3G/2014GilbertNcommsSI.pdf:application/pdf}
}

@article{Gilbert2008,
  title = {Mapping {{H5N1}} Highly Pathogenic Avian Influenza Risk in {{Southeast Asia}}},
  volume = {105},
  issn = {0027-8424, 1091-6490},
  doi = {10.1073/pnas.0710581105},
  abstract = {The highly pathogenic avian influenza (HPAI) H5N1 virus that emerged in southern China in the mid-1990s has in recent years evolved into the first HPAI panzootic. In many countries where the virus was detected, the virus was successfully controlled, whereas other countries face periodic reoccurrence despite significant control efforts. A central question is to understand the factors favoring the continuing reoccurrence of the virus. The abundance of domestic ducks, in particular free-grazing ducks feeding in intensive rice cropping areas, has been identified as one such risk factor based on separate studies carried out in Thailand and Vietnam. In addition, recent extensive progress was made in the spatial prediction of rice cropping intensity obtained through satellite imagery processing. This article analyses the statistical association between the recorded HPAI H5N1 virus presence and a set of five key environmental variables comprising elevation, human population, chicken numbers, duck numbers, and rice cropping intensity for three synchronous epidemic waves in Thailand and Vietnam. A consistent pattern emerges suggesting risk to be associated with duck abundance, human population, and rice cropping intensity in contrast to a relatively low association with chicken numbers. A statistical risk model based on the second epidemic wave data in Thailand is found to maintain its predictive power when extrapolated to Vietnam, which supports its application to other countries with similar agro-ecological conditions such as Laos or Cambodia. The model's potential application to mapping HPAI H5N1 disease risk in Indonesia is discussed.},
  language = {en},
  timestamp = {2015-09-23T09:00:49Z},
  number = {12},
  urldate = {2015-09-23},
  journal = {Proceedings of the National Academy of Sciences},
  author = {<NAME> Pfeiffer, <NAME> <NAME>, <NAME>, <NAME> <NAME> Martin, <NAME>, Jan},
  month = mar,
  year = {2008},
  keywords = {animal husbandry,epidemiology,H5N1,KEY4,remote sensing,spatial modeling},
  pages = {4769--4774},
  file = {Gilbert et al. - 2008 - Mapping H5N1 highly pathogenic avian influenza ris.pdf:/home/yann/.backup_usb/usb/backup_thinkpad/bibliography/zotero/data/storage/42G4TT4V/Gilbert et al. - 2008 - Mapping H5N1 highly pathogenic avian influenza ris.pdf:application/pdf},
  pmid = {18362346}
}

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