A simulation study to evaluate the performance of five statistical monitoring methods when applied to different time-series components in the context of control programs for endemic diseases.
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| Title: | A simulation study to evaluate the performance of five statistical monitoring methods when applied to different time-series components in the context of control programs for endemic diseases. |
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| Authors: | Lopes Antunes AC; Division for Diagnostics and Scientific Advice-Epidemiology, National Veterinary Institute-DTU, Bülowsvej 27, Frederiksberg C, Denmark., Jensen D; Section for Production and Health, Department of Large Animal Science-KU, Grønnegårdsvej 8, Frederiksberg C, Denmark., Halasa T; Division for Diagnostics and Scientific Advice-Epidemiology, National Veterinary Institute-DTU, Bülowsvej 27, Frederiksberg C, Denmark., Toft N; Division for Diagnostics and Scientific Advice-Epidemiology, National Veterinary Institute-DTU, Bülowsvej 27, Frederiksberg C, Denmark. |
| Source: | PloS one [PLoS One] 2017 Mar 06; Vol. 12 (3), pp. e0173099. Date of Electronic Publication: 2017 Mar 06 (Print Publication: 2017). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0173099 |
