File Download
Supplementary
-
Citations:
- Appears in Collections:
Article: The global epidemiology of Hepatitis A outbreaks 2016-2018 and the utility of EpiWATCH as a rapid epidemic intelligence service
Title | The global epidemiology of Hepatitis A outbreaks 2016-2018 and the utility of EpiWATCH as a rapid epidemic intelligence service |
---|---|
Authors | |
Issue Date | 2021 |
Citation | Global Biosecurity, 2021, v. 3 n. 1 How to Cite? |
Abstract | Hepatitis A (Hep A) can cause sporadic or epidemic disease and has been frequently linked to contamination of the global food chain. Global surveillance data on Hep A are unavailable, and in some countries, reporting is incomplete or not timely, either because of lack of human resources or sensitivities around reporting. The use of vast open-source data such as news-feeds and social media however can overcome barriers to surveillance and provide timely data on global epidemics. In this study we use EpiWATCH, semi-automated outbreak scanning service to review the global epidemiology of Hep A reports from 2016-2018. We reviewed the EpiWATCH Outbreak Alerts database for reports on the Hep A dated between August 1, 2016, to April 31, 2018 which was the analysed by outbreak clusters, location, and time. Of 5098 total entries in the database a total of 169 non-duplicate Hep A outbreak reports were found and included for descriptive analysis. The majority of outbreak reports (68.6%%; N=116/169) originated from the United States of America (USA). The largest Hep A outbreaks were multi-country outbreaks in the European region, and multistate outbreaks in the USA and Australia. Homelessness (mainly in US outbreaks) was the predominant risk factor (40.2%), followed by foodborne outbreaks (26.6%) and outbreaks in men who have sex with men (6.5%). Using EpiWATCH we found that the emergence of outbreaks in homeless people has dominated the epidemiology of Hep A in the U.S and this appears a relatively new phenomenon. Epidemic intelligence systems such as EpiWATCH are a useful proxy for global surveillance of Hep A outbreaks and using open-source data can provide epidemic intelligence and outbreak alerts where global data is unavailable. |
Persistent Identifier | http://hdl.handle.net/10722/314225 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lesmanawati, DA | - |
dc.contributor.author | Adam, DC | - |
dc.contributor.author | Hooshmand, E | - |
dc.contributor.author | Moa, A | - |
dc.contributor.author | Kunasekaran, M | - |
dc.contributor.author | MacIntyre, C | - |
dc.date.accessioned | 2022-07-18T06:14:04Z | - |
dc.date.available | 2022-07-18T06:14:04Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Global Biosecurity, 2021, v. 3 n. 1 | - |
dc.identifier.uri | http://hdl.handle.net/10722/314225 | - |
dc.description.abstract | Hepatitis A (Hep A) can cause sporadic or epidemic disease and has been frequently linked to contamination of the global food chain. Global surveillance data on Hep A are unavailable, and in some countries, reporting is incomplete or not timely, either because of lack of human resources or sensitivities around reporting. The use of vast open-source data such as news-feeds and social media however can overcome barriers to surveillance and provide timely data on global epidemics. In this study we use EpiWATCH, semi-automated outbreak scanning service to review the global epidemiology of Hep A reports from 2016-2018. We reviewed the EpiWATCH Outbreak Alerts database for reports on the Hep A dated between August 1, 2016, to April 31, 2018 which was the analysed by outbreak clusters, location, and time. Of 5098 total entries in the database a total of 169 non-duplicate Hep A outbreak reports were found and included for descriptive analysis. The majority of outbreak reports (68.6%%; N=116/169) originated from the United States of America (USA). The largest Hep A outbreaks were multi-country outbreaks in the European region, and multistate outbreaks in the USA and Australia. Homelessness (mainly in US outbreaks) was the predominant risk factor (40.2%), followed by foodborne outbreaks (26.6%) and outbreaks in men who have sex with men (6.5%). Using EpiWATCH we found that the emergence of outbreaks in homeless people has dominated the epidemiology of Hep A in the U.S and this appears a relatively new phenomenon. Epidemic intelligence systems such as EpiWATCH are a useful proxy for global surveillance of Hep A outbreaks and using open-source data can provide epidemic intelligence and outbreak alerts where global data is unavailable. | - |
dc.language | eng | - |
dc.relation.ispartof | Global Biosecurity | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | The global epidemiology of Hepatitis A outbreaks 2016-2018 and the utility of EpiWATCH as a rapid epidemic intelligence service | - |
dc.type | Article | - |
dc.identifier.email | Adam, DC: dcadam@hku.hk | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.31646/gbio.100 | - |
dc.identifier.hkuros | 334170 | - |
dc.identifier.volume | 3 | - |
dc.identifier.issue | 1 | - |
dc.identifier.eissn | 2652-0036 | - |