Data

Many papers have accompagnying data set that will be published in this page. The links are not yet active, but these should be added as soon as the individual data sets are published on data-sharing repositories.

1. Epidemiology


Dhingra MS, J Artois, TP Robinson, C Linard, C Chaiban, I Xenarios, R Engler, R Liechti, D Kuznetsov, X Xiao, S Von Dobschuetz, F Claes, SH Newman, G Dauphin, M Gilbert 2016 Global suitability maps for highly pathogenic avian influenza (HPAI) H5N1 and H5 clade 2.3.4.4 viruses. eLife 5:e19571 doi:10.7554/eLife.19571

  • Global suitability model for HPAI H5N1 (Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global suitability model for HPAI H5Nx clade 2.3.4.4 viruses (Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of ducks in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)

Van Boeckel T, C Brower, M Gilbert, B Grenfell, S Levin, T Robinson, A Teillant, R Laxminarayan (2015) Global trends in antimicrobial use in food animals. PNAS 112(18):5649-5654 doi: 10.1073/pnas.1503141112

  • Global antimicrobial consumption in food animals (kg / pixel, geographic projection, 0.083333 decimal degrees resolution)

Gilbert, M., N Golding, H Zhou, W. Wint, T. P. Robinson, A. J. Tatem, S Lai, S. Zhou, H Jiang, D Guo, Z Huang, J. P. Messina, X. Xiao, C. Linard, T. P. Van Boeckel, V. Martin, S. Bhatt, P. W. Gething, J. J. Farrar, S. I. Hay, H Yu. (2014) Predicting market risk of influenza A (H7N9) in Asia. Nature Communications 5:4116 doi: 10.1038/ncomms5116

  • Suitability model for H7N9 infection per market (Asia extent, geographic projection, 0.083333 decimal degrees resolution)

2. Livestock


Gilbert M, G Conchedda, T Van Boeckel, G Cinardi, C Linard, G Nicolas, W Thanapongtharm, L D’Aietti, W Wint, S Newman, T Robinson (2015) Income disparities and the global distribution of intensively farmed chicken and pigs. Plos ONE 10(7): e0133381 doi 10.1371/journal.pone.0133381

  • Global distribution of extensively raised chicken in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of intensively raised chicken in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of extensively raised pigs in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of semi-intensively raised pigs in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of intensively raised pigs in 2010 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)

Robinson, T., W. Wint, T, G. Conchedda, T. P. Van Boeckel, V. Ercoli, E. Palamara, G. Cinardi, L. D’Aietti, & M. Gilbert (2014) Mapping the Global Distribution of Livestock. PLoS ONE 9(5): e96084. doi:10.1371/journal.pone.0096084

  • Global distribution of cattle in 2006 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of chicken in 2006 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of pigs in 2006 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of sheep in 2006 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)
  • Global distribution of goats in 2006 (Animals / pixel, Global extent, geographic projection, 0.083333 decimal degrees resolution)

3. Human population


All human population data sets to which we contributed are distributed through the Worldpop web platform.