Identifying High-risk Areas of Foot-and-mouth Disease Outbreak Using a Spatiotemporal Score Statistic: (Record no. 14130)
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| fixed length control field | 02243nab a2200229 4500 |
| 005 - DATE & TIME | |
| control field | 20230801103923.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230801b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pak, Son-Il |
| 245 ## - TITLE STATEMENT | |
| Title | Identifying High-risk Areas of Foot-and-mouth Disease Outbreak Using a Spatiotemporal Score Statistic: |
| Sub Title | A Case of South Korea/ |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Sage, |
| Date of publication, distribution, etc | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | Vol 43, Issue 5, 2020( 477–500 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The objective of this study is to identify high-risk areas of foot-and-mouth disease (FMD) in South Korea using nationwide data collected for the disease cases that occurred during the period from December 2014 to April 2015. High-risk areas of FMD occurrence are defined as local clusters or hot spots, where the frequency of disease occurrence is higher than expected. An issue in the FMD detection study is in identifying a spatial pattern deviated significantly from the expected value under the null hypothesis that no spatial process is investigated. While identifying geographic clusters is challenging to reveal the causes of disease outbreak, it is most useful to detect and monitor potential areas of risk occurrence and suggest a further in-depth investigation. This study extended a traditional score statistic (SC) that has limited to identify the spatial pattern by proposing a spatiotemporal score statistic (STSC) that incorporates a temporal component into the SC approach. STSC, a local spatial statistic, was utilized to detect clusters around the known foci with a latent period. This study demonstrated STSC could better exploit the advantage of the original SC and improve the cluster detection due to the latent time component. The empirical results of STSC are expected to provide more useful policy implications with agencies in charge of preventing and controlling the spread of epidemics when deciding where to concentrate the limited resources available.<br/> |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Lee, Gyoungju |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Sin, Munsu |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Park, Hyuk |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Park, JiYoung |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 11129 |
| Host Itemnumber | 17016 |
| Place, publisher, and date of publication | Sage, 2019. |
| Title | International regional science review |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1177/0160017620931581 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | E-Journal |
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| 700 ## - Added Entry Personal Name | |
| -- | 56598 |
| 700 ## - Added Entry Personal Name | |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
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