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%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
}