WAHIS, the unique source of official worldwide animal health information, is becoming OIE-WAHIS, a new digital platform

Mur, Lina; Tizzani, Paolo; Awada, Lina; Lambergeon, Natalja; Braham, Imen; Masse, Cédric; Cáceres, Paula; Melens, Peter; Arroyo, Montserrat

doi:10.3389/conf.fvets.2019.05.00058

Cited by 2 publications

(3 citation statements)

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“…Furthermore, the ASF spread across Asia affecting domestic pigs and wild boar in 2018 [18] that led to 82 immediate reports sent to WAHIS only on that year. Due to these major pandemics, HPAI and ASF were the most frequently notifed animal diseases during the study period, as previously described by Mur et al [6].…”

Section: Discussionmentioning

confidence: 63%

“…Before 2005, WOAH published early warning reports on a dedicated web page. In 2005, it launched its World Animal Health Information System (WAHIS), which had an early warning component [6]. In 2021, a modernized WAHIS platform [7] was launched, containing all the disease information since 2005, with a technologically advanced yet user-friendly interface, plus new visualization, mapping, and data mining functions.…”

Section: Introductionmentioning

confidence: 99%

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Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005–2021)

Lin

Beltrán‐Alcrudo²,

Awada

et al. 2023

Transboundary and Emerging Diseases

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The World Animal Health Information System (WAHIS) from the World Organization for Animal Health (WOAH) is an online reporting system, essential for ensuring the transparency and accuracy of global animal health. One of the WOAH’s objectives is to disseminate timely notifications to support countries’ efforts to prevent and control the spread of animal diseases. This paper describes the 3,263 exceptional events notified through immediate notifications sent to WOAH from 2005 to February 2021 and their distribution in time and space and by disease. To evaluate the timeliness of reporting, we defined and analysed two periods: the confirmation period (CT), which is the time interval between the disease onset date and the confirmation date, and the notification period (NT), defined as the interval between the disease confirmation and the date of reporting to WOAH. The results showed that (1) the number of events increased over the analysis period; (2) the events were mainly reported for domestic animals and the data provided for wildlife were limited; (3) the official source of disease introduction was often unknown when the event was reported; and (4) the global median CT value was 5 days while the global median NT value was 4 days, with a decreasing trend in both cases over the study period. Divergences were found across world regions and country income categories. This analysis provides interesting insights into the early detection capabilities and transparency of countries, globally and over time.

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Section: Discussionmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005–2021)

Lin

Beltrán‐Alcrudo²,

Awada

et al. 2023

Transboundary and Emerging Diseases

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“…The World Animal Health Information System (OIE‐WAHIS) is a timely, publicly accessible animal disease monitoring system maintained by the OIE (Mur et al., 2019 ). In this study, we retrieved CSF outbreak reports data from 1 January 2005 to 31 December 2018 from the People's Republic of China.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analysis of reported classical swine fever outbreaks in China (2005–2018) and the influence of weather

Ward

2022

Transbounding Emerging Dis

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Classical swine fever (CSF) is a viral disease that causes enormous economic losses in the swine industry in endemic countries including China. The aims of the current study were to describe the spatial distribution of annual CSF reports in China from 2005 to 2018, identify spatiotemporal clusters of annual CSF reports during this time period and to investigate the correlations between climate factors (rainfall, wind speed, temperature, vapour pressure and relative humidity) and the occurrence of CSF outbreaks.The strongest (Moran's index > 0.19), significant (p < .05) spatial clustering of reported outbreaks was observed during the first 4 years of the study period. This clustering was apparent in the four southern provinces of Guizhou, Guangxi, Guangdong and Yunnan. Five of the six significant (p ≤ .0001) spatiotemporal clusters occurred during the period 2005-2012. These were widely dispersed, with four clusters persisting for only 1 or 2 years, whereas two clusters (Jiangxi and Yunnan) persisted for 8 and 7 years, respectively. As a result of implementation of a national animal disease control plan and increasing coverage of vaccination, CSF outbreaks in China have generally been controlled and reduced, becoming sporadic in most provinces by 2018. We also confirmed that low relative humidity and high wind speed were significant weather variables associated with the occurrence of CSF. Furthermore, our study has confirmed that CSF is still endemic in some Chinese provinces, and we recommend that the national CSF control protocol be updated and standardized.

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WAHIS, the unique source of official worldwide animal health information, is becoming OIE-WAHIS, a new digital platform

Cited by 2 publications

References 0 publications

Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005–2021)

Analysing WAHIS Animal Health Immediate Notifications to Understand Global Reporting Trends and Measure Early Warning Capacities (2005–2021)

Spatiotemporal analysis of reported classical swine fever outbreaks in China (2005–2018) and the influence of weather

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