An eigenspace method for detecting space-time disease clusters with unknown population-data
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2022
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oai:scholars.utp.edu.my:366912023-07-28T02:17:49Z http://scholars.utp.edu.my/id/eprint/36691/ An eigenspace method for detecting space-time disease clusters with unknown population-data Ullah, Sami Hidayah Mohd Nor, Nurul Daud, Hanita Zainuddin, Nooraini Fanaee Tork, Hadi Khalil, Alamgir Tech Science Press 2022 Article NonPeerReviewed Ullah, Sami and Hidayah Mohd Nor, Nurul and Daud, Hanita and Zainuddin, Nooraini and Fanaee Tork, Hadi and Khalil, Alamgir (2022) An eigenspace method for detecting space-time disease clusters with unknown population-data. Computers, Materials & Continua, 70 (1). pp. 1945-1953. |
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Ullah, Sami Hidayah Mohd Nor, Nurul Daud, Hanita Zainuddin, Nooraini Fanaee Tork, Hadi Khalil, Alamgir |
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Ullah, Sami Hidayah Mohd Nor, Nurul Daud, Hanita Zainuddin, Nooraini Fanaee Tork, Hadi Khalil, Alamgir An eigenspace method for detecting space-time disease clusters with unknown population-data |
author_facet |
Ullah, Sami Hidayah Mohd Nor, Nurul Daud, Hanita Zainuddin, Nooraini Fanaee Tork, Hadi Khalil, Alamgir |
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Ullah, Sami |
title |
An eigenspace method for detecting space-time disease clusters with unknown population-data |
title_short |
An eigenspace method for detecting space-time disease clusters with unknown population-data |
title_full |
An eigenspace method for detecting space-time disease clusters with unknown population-data |
title_fullStr |
An eigenspace method for detecting space-time disease clusters with unknown population-data |
title_full_unstemmed |
An eigenspace method for detecting space-time disease clusters with unknown population-data |
title_sort |
eigenspace method for detecting space-time disease clusters with unknown population-data |
publisher |
Tech Science Press |
publishDate |
2022 |
url |
http://scholars.utp.edu.my/id/eprint/36691/ |
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1772814397712891904 |
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13.211869 |