A framework for the risk prediction of avian influenza occurrence: An Indonesian case study.

ABSTRACT: Avian influenza viruses can cause economically devastating diseases in poultry and have the potential for zoonotic transmission. To mitigate the consequences of avian influenza, disease prediction systems have become increasingly important. In this study, we have proposed a framework for the prediction of the occurrence and spread of avian influenza events in a geographical area. The application of the proposed framework was examined in an Indonesian case study. An extensive list of historical data sources containing disease predictors and target variables was used to build spatiotemporal and transactional datasets. To combine disparate sources, data rows were scaled to a temporal scale of 1-week and a spatial scale of 1-degree × 1-degree cells. Given the constructed datasets, underlying p

SUBMITTER: Yousefinaghani S 

PROVIDER: S-EPMC7810353 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature