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Forecasting of daily new lumpy skin disease cases in Thailand at different stages of the epidemic using fuzzy logic time series, NNAR, and ARIMA methods.
Punyapornwithaya, Veerasak; Arjkumpa, Orapun; Buamithup, Noppawan; Kuatako, Noppasorn; Klaharn, Kunnanut; Sansamur, Chalutwan; Jampachaisri, Katechan.
Afiliação
  • Punyapornwithaya V; Department of Veterinary Bioscience and Veterinary Public Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai 50100, Thailand; Center of Excellence in Veterinary Public Health, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai 50100, Thailand.
  • Arjkumpa O; Department of Livestock Development, Animal Health Section, The 4th Regional Livestock Office, Khon Kaen 40260, Thailand.
  • Buamithup N; Bureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok 10400, Thailand.
  • Kuatako N; Bureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok 10400, Thailand.
  • Klaharn K; Bureau of Livestock Standards and Certification, Department of Livestock Development, Bangkok 10400, Thailand.
  • Sansamur C; Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80161, Thailand.
  • Jampachaisri K; Department of Mathematics, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand. Electronic address: katechanj@nu.ac.th.
Prev Vet Med ; 217: 105964, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37393704
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Doença Nodular Cutânea Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Doença Nodular Cutânea Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article