Epiwatch publications:
Kpozehouen EB, Chen X, Zhu M, Macintyre CR. Using open-source intelligence to detect early signals of COVID-19 in China, Descriptive study. JMIR Public Health and Surveillance. 2020 Jun. DOI: 10.2196/18939.
Thamtono Y, Moa A, MacIntyre CR. Using Open-source Intelligence to Identify Early Signals of COVID-19. https://ojs.wpro.who.int/ojs/public/journals/1/covid19/wpsar.2020.11.5.013Thamtono.pdf
Natolanda P, Moa A, Macintyre C. Understanding the Trend and Distribution of Antimicrobial Resistance Using Event Based Surveillance System: EpiWatch Global Biosecurity. 2020 Jul 13;1(4).
Mao R, Moa A, Chughtai A. The Epidemiology of Unknown Disease Outbreak Reports Globally. Global Biosecurity. 2020 May 7;1(4).
Puca C, Trent M. Using the Surveillance Tool EpiWATCH to Rapidly Detect Global Mumps Outbreaks. Global Biosecurity. 2020 Apr 30;1(3).
Research Articles
Sulaiman F, Yanti NS, Lesmanawati DA, Trent M, MacIntyre C, Chughtai A. Language Specific Gaps in Identifying Early Epidemic Signals – A Case Study of the Malay Language. Global Biosecurity. 2019 Oct 14;1(3).