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. 2022 May 31;6(5):e34279. doi: 10.2196/34279

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©Weerapong Thanapongtharm, Vilaiporn Wongphruksasoong, Waratida Sangrat, Kittin Thongsrimoung, Nattavut Ratanavanichrojn, Suwicha Kasemsuwan, Amnat Khamsiriwatchara, Jaranit Kaewkungwal, Kansuda Leelahapongsathon. Originally published in JMIR Formative Research (https://formative.jmir.org), 31.05.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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A spatial analysis of African swine fever (ASF) prevention and control on a web application. A spatial analysis conducted by integrating all relevant layers for ASF prevention and control, such as (A) an ASF risk map, (B) farm locations with ASF risk at the farm level, and (C) the buffer zones and farms surrounding a selected farm.