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Yearb Med Inform 2015; 24(01): 218-219
DOI: 10.1055/s-0038-1639048
DOI: 10.1055/s-0038-1639048
Best paper selection
Section 11 Public Health ans Epidemiology Informatics
Further Information
Publication History
Publication Date:
12 March 2018 (online)
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Reference
- 1 Barboza P, Vaillant L, Le Strat Y, Hartley DM, Nelson NP, Mawudeku A, Madoff LC, Linge JP, Collier N, Brownstein JS, Astagneau P. Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaks. PLoS One 2014; 9: e90536 http://dx.doi.org/10.1371/journal.pone.0090536
- 2 Khormi HM, Kumar L. Climate change and the potential global distribution of Aedes aegypti: spatial modelling using GIS and CLIMEX. Geospat Health 2014; 8: 405-15 http://dx.doi.org/10.4081/gh.2014.29
- 3 Pawelek KA, Oeldorf-Hirsch A, Rong L. Modeling the impact of twitter on influenza epidemics. Math Biosci Eng 2014; 11: 1337-56 Link
- 4 Rutter P, Mytton O, Ellis B, Donaldson L. Access to the NHS by telephone and Internet during an influenza pandemic: an observational study. BMJ Open 2014; 4: e004174 Link
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Reference
- 1 Barboza P, Vaillant L, Le Strat Y, Hartley DM, Nelson NP, Mawudeku A, Madoff LC, Linge JP, Collier N, Brownstein JS, Astagneau P. Factors influencing performance of internet-based biosurveillance systems used in epidemic intelligence for early detection of infectious diseases outbreaks. PLoS One 2014; 9: e90536 http://dx.doi.org/10.1371/journal.pone.0090536
- 2 Khormi HM, Kumar L. Climate change and the potential global distribution of Aedes aegypti: spatial modelling using GIS and CLIMEX. Geospat Health 2014; 8: 405-15 http://dx.doi.org/10.4081/gh.2014.29
- 3 Pawelek KA, Oeldorf-Hirsch A, Rong L. Modeling the impact of twitter on influenza epidemics. Math Biosci Eng 2014; 11: 1337-56 Link
- 4 Rutter P, Mytton O, Ellis B, Donaldson L. Access to the NHS by telephone and Internet during an influenza pandemic: an observational study. BMJ Open 2014; 4: e004174 Link