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dc.contributor.authorRoderick Salvadoren_US
dc.contributor.authorNeil Tanquiluten_US
dc.contributor.authorRosemarie Macmacen_US
dc.contributor.authorKannika Na Lampangen_US
dc.contributor.authorWarangkhana Chaisowwongen_US
dc.contributor.authorDirk Pfeifferen_US
dc.contributor.authorVeerasak Punyapornwithayaen_US
dc.date.accessioned2020-10-14T08:22:40Z-
dc.date.available2020-10-14T08:22:40Z-
dc.date.issued2020-09-01en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-85090819680en_US
dc.identifier.other10.1371/journal.pone.0238815en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090819680&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/69981-
dc.description.abstract© 2020 Salvador et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The Philippines confirmed its first epidemic of Highly Pathogenic Avian Influenza (HPAI) on August 11, 2017. It ended in November of 2017. Despite the successful management of the epidemic, reemergence is a continuous threat. The aim of this study was to conduct a mathematical model to assess the spatial transmission of HPAI among poultry farms in Central Luzon. Different control strategies and the current government protocol of 1 km radius preemptive culling (PEC) from infected farms were evaluated. The alternative strategies include 0.5km PEC, 1.5km PEC, 2 km PEC, 2.5 km PEC, and 3 km PEC, no pre-emptive culling (NPEC). The NPEC scenario was further modeled with a time of government notification set at 24hours, 48 hours, and 72 hours after the detection. Disease spread scenarios under each strategy were generated using an SEIR (susceptible-exposed-infectious-removed) stochastic model. A spatial transmission kernel was calculated and used to represent all potential routes of infection between farms. We assumed that the latent period occurs between 1–2 days, disease detection at 5–7 days post-infection, notification of authorities at 5–7 days post-detection and start of culling at 1–3 days post notification. The epidemic scenarios were compared based on the number of infected farms, the total number of culled farms, and the duration of the epidemic. Our results revealed that the current protocol is the most appropriate option compared with the other alternative interventions considered among farms with reproductive ratio (Ri) > 1. Shortening the culling radius to 0.5 km increased the duration of the epidemic. Further increase in the PEC zone decreased the duration of the epidemic but may not justify the increased number of farms to be culled. Nonetheless, the no-pre-emptive culling (NPEC) strategy can be an effective alternative to the current protocol if farm managers inform the government immediately within 24 hours of observation of the presence of HPAI in their farms. Moreover, if notification is made on days 1–3 after the detection, the scale and length of the outbreak have been significantly reduced. In conclusion, this study provided a comparison of various control measures for confronting the spread of HPAI infection using the simulation model. Policy makers can use this information to enhance the effectiveness of the current control strategy.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectMultidisciplinaryen_US
dc.titleEvaluation of strategies using simulation model to control a potential outbreak of highly pathogenic avian influenza among poultry farms in Central Luzon, Philippinesen_US
dc.typeJournalen_US
article.title.sourcetitlePLoS ONEen_US
article.volume15en_US
article.stream.affiliationsUniversity of the Philippines Los Banosen_US
article.stream.affiliationsCentral Luzon State Universityen_US
article.stream.affiliationsRoyal Veterinary College University of Londonen_US
article.stream.affiliationsCity University of Hong Kongen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsPampanga State Agricultural Universityen_US
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