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

Open Access

Peer-reviewed

Research Article

Ana Carolina Lopes Antunes ,

* E-mail: aclan@vet.dtu.dk

Affiliation Division for Diagnostics and Scientific Advice—Epidemiology, National Veterinary Institute–DTU, Bülowsvej 27, Frederiksberg C, Denmark
⨯
Dan Jensen,

Affiliation Section for Production and Health, Department of Large Animal Science–KU, Grønnegårdsvej 8, Frederiksberg C, Denmark
⨯
Tariq Halasa,

Affiliation Division for Diagnostics and Scientific Advice—Epidemiology, National Veterinary Institute–DTU, Bülowsvej 27, Frederiksberg C, Denmark
⨯
Nils Toft

Affiliation Division for Diagnostics and Scientific Advice—Epidemiology, National Veterinary Institute–DTU, Bülowsvej 27, Frederiksberg C, Denmark
⨯

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Charts
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Endemic diseases
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Veterinary diseases
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Epidemiology
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Algorithms
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Disease surveillance
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Simulation and modeling
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