Changes
On November 2, 2024 at 6:19:00 PM UTC,
kistibuu:
-
No fields were updated. See the metadata diff for more details.
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| 17 | "data_source": "Department of Disease Control, Ministry of Public | 17 | "data_source": "Department of Disease Control, Ministry of Public | ||
| 18 | Health, Thailand", | 18 | Health, Thailand", | ||
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| 24 | "disaggregate_other": "Global Disease Pandemic", | 24 | "disaggregate_other": "Global Disease Pandemic", | ||
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| 30 | "description": "Coronavirus disease 2019 (COVID-19) is a | 30 | "description": "Coronavirus disease 2019 (COVID-19) is a | ||
| 31 | contagious disease caused by a virus, the severe acute respiratory | 31 | contagious disease caused by a virus, the severe acute respiratory | ||
| 32 | syndrome coronavirus 2 (SARS-CoV-2). The first known case was | 32 | syndrome coronavirus 2 (SARS-CoV-2). The first known case was | ||
| 33 | identified in Wuhan, China, in December 2019. The disease quickly | 33 | identified in Wuhan, China, in December 2019. The disease quickly | ||
| 34 | spread worldwide, resulting in the COVID-19 pandemic.", | 34 | spread worldwide, resulting in the COVID-19 pandemic.", | ||
| 35 | "display_name": "COVID-19", | 35 | "display_name": "COVID-19", | ||
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| 39 | "name": "covid-19", | 39 | "name": "covid-19", | ||
| 40 | "title": "COVID-19" | 40 | "title": "COVID-19" | ||
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| 47 | "license_id_other": "", | 47 | "license_id_other": "", | ||
| 48 | "license_title": "License not specified", | 48 | "license_title": "License not specified", | ||
| 49 | "maintainer": "Epidemic Data Exchange and Analysis Network", | 49 | "maintainer": "Epidemic Data Exchange and Analysis Network", | ||
| 50 | "maintainer_email": "apisit.sa@buu.ac.th", | 50 | "maintainer_email": "apisit.sa@buu.ac.th", | ||
| 51 | "metadata_created": "2024-07-27T02:48:07.559139", | 51 | "metadata_created": "2024-07-27T02:48:07.559139", | ||
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| 53 | "name": "the-weekly-covid-19-infection-situation", | 53 | "name": "the-weekly-covid-19-infection-situation", | ||
| 54 | "notes": "COVID-19 has had a significant impact on Thailand, with | 54 | "notes": "COVID-19 has had a significant impact on Thailand, with | ||
| 55 | widespread transmission and periodic outbreaks. The Ministry of Public | 55 | widespread transmission and periodic outbreaks. The Ministry of Public | ||
| 56 | Health in Thailand has implemented various measures to control the | 56 | Health in Thailand has implemented various measures to control the | ||
| 57 | spread of the virus, including testing, contact tracing, and | 57 | spread of the virus, including testing, contact tracing, and | ||
| 58 | quarantine protocols. Vaccination campaigns have been initiated to | 58 | quarantine protocols. Vaccination campaigns have been initiated to | ||
| 59 | enhance immunity and curb the transmission. Public awareness campaigns | 59 | enhance immunity and curb the transmission. Public awareness campaigns | ||
| 60 | and compliance with preventive measures, such as wearing masks and | 60 | and compliance with preventive measures, such as wearing masks and | ||
| 61 | practicing physical distancing, have been emphasized. Continued | 61 | practicing physical distancing, have been emphasized. Continued | ||
| 62 | monitoring and collaborative efforts are crucial to mitigate the | 62 | monitoring and collaborative efforts are crucial to mitigate the | ||
| 63 | impact of COVID-19 in Thailand.", | 63 | impact of COVID-19 in Thailand.", | ||
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| 73 | "created": "2024-07-26T07:17:16.303455", | 73 | "created": "2024-07-26T07:17:16.303455", | ||
| 74 | "description": "This international collaborative project aims to | 74 | "description": "This international collaborative project aims to | ||
| 75 | guide rapid responses to global epidemics by leveraging digital data | 75 | guide rapid responses to global epidemics by leveraging digital data | ||
| 76 | exchange between Korea and Thailand. The project focuses on developing | 76 | exchange between Korea and Thailand. The project focuses on developing | ||
| 77 | robust data structures and predictive models to analyze and forecast | 77 | robust data structures and predictive models to analyze and forecast | ||
| 78 | epidemic outbreaks.", | 78 | epidemic outbreaks.", | ||
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| 84 | "title": "Epidemic Data Exchange and Analysis Network", | 84 | "title": "Epidemic Data Exchange and Analysis Network", | ||
| 85 | "type": "organization" | 85 | "type": "organization" | ||
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| 223 | "name": "COVID-19", | 223 | "name": "COVID-19", | ||
| 224 | "state": "active", | 224 | "state": "active", | ||
| 225 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 226 | } | 226 | } | ||
| 227 | ], | 227 | ], | ||
| 228 | "title": "The weekly COVID-19 infection situation in Thailand", | 228 | "title": "The weekly COVID-19 infection situation in Thailand", | ||
| 229 | "type": "dataset", | 229 | "type": "dataset", | ||
| 230 | "unit_of_measure": "Case", | 230 | "unit_of_measure": "Case", | ||
| 231 | "unit_of_multiplier": "", | 231 | "unit_of_multiplier": "", | ||
| 232 | "unit_of_multiplier_other": "", | 232 | "unit_of_multiplier_other": "", | ||
| 233 | "update_frequency_interval": "", | 233 | "update_frequency_interval": "", | ||
| 234 | "update_frequency_unit": "\u0e1b\u0e35", | 234 | "update_frequency_unit": "\u0e1b\u0e35", | ||
| 235 | "update_frequency_unit_other": "", | 235 | "update_frequency_unit_other": "", | ||
| 236 | "url": "", | 236 | "url": "", | ||
| 237 | "version": null | 237 | "version": null | ||
| 238 | } | 238 | } |