%0 Journal Article %1 journals/sigspatial/HuEDK16 %A Hu, Kun %A Edlund, Stefan %A Davis, Matthew %A Kaufman, James H. %D 2016 %J ACM SIGSPATIAL Special %K %N 1 %P 3-11 %T From farm to fork: how spatial-temporal data can accelerate foodborne illness investigation in a global food supply chain. %U http://dblp.uni-trier.de/db/journals/sigspatial/sigspatial8.html#HuEDK16 %V 8

@article{journals/sigspatial/HuEDK16, added-at = {2023-12-13T08:26:49.000+0100}, author = {Hu, Kun and Edlund, Stefan and Davis, Matthew and Kaufman, James H.}, biburl = {https://www.bibsonomy.org/bibtex/2e19d1cbbae5061c0b566e2ac532bfe61/admin}, ee = {https://doi.org/10.1145/2961028.2961031}, interhash = {c3bd9ee16cc581b49cc0096438fb6832}, intrahash = {e19d1cbbae5061c0b566e2ac532bfe61}, journal = {ACM SIGSPATIAL Special}, keywords = {}, number = 1, pages = {3-11}, timestamp = {2023-12-13T08:26:49.000+0100}, title = {From farm to fork: how spatial-temporal data can accelerate foodborne illness investigation in a global food supply chain.}, url = {http://dblp.uni-trier.de/db/journals/sigspatial/sigspatial8.html#HuEDK16}, volume = 8, year = 2016 }