TRENDS: Temporal Recent Epidemiology of Notifiable Diseases in Southeast Asia

TRENDS: Temporal Recent Epidemiology of Notifiable Diseases in Southeast Asia. It is an open, harmonised, province-level weekly surveillance resource for priority notifiable infections across Southeast Asia, designed as a shared schema with a country anchor and a common set of weekly variables, so that any Southeast Asian country can contribute a province-week release in the same format. The intent is for TRENDS to grow into a regional, multi-country resource for time-series and spatial epidemiology. Thailand release This release contains data from Thailand (TRENDS-Thai), covering 1 January 2016 to 31 December 2025 for dengue, chikungunya, and hand, foot, and mouth disease (HFMD). Contents TRENDS.xlsx is a single Excel workbook with three sheets (weekly data, province data, data dictionary). The Country column anchors per-country subsetting and enables future expansion of TRENDS to additional Southeast Asian countries. The weekly data sheet contains 40,579 rows by 18 columns and provides weekly case counts and pre-computed incidence rates per 100,000 population for each (country, province, epidemiological week). The province data sheet contains 77 rows by 16 columns and provides province attributes (country, P-code, English name, centroid latitude and longitude in WGS84, area in square kilometres) together with the year-specific civil-registration population for each year from 2016 to 2025. The data dictionary sheet contains 22 rows by 5 columns and lists every variable, the sheet on which it is stored, its data type, its unit where applicable, and a concise definition. Both data sheets share P-code and Province as join keys. The year-specific population denominator for any (P-code, Year) row in weekly data is recovered by joining on P-code and selecting the matching Population <year> column in province data. Data sources Disease counts: Thailand Ministry of Public Health 506 notifiable disease surveillance system, Department of Disease Control (https://ddc.moph.go.th/). Population denominators: Bureau of Registration Administration, Department of Provincial Administration, Thailand (https://stat.bora.dopa.go.th/). Province polygons: Royal Thai Survey Department, distributed via the OCHA Common Operational Dataset for Thailand (https://data.humdata.org/dataset/cod-ab-tha), version v01, valid from 22 January 2022. Coverage 77 Thai provinces × 527 epidemiological weeks = 40,579 province-week records, covering 1 January 2016 through 31 December 2025. Three diseases: dengue (with severity strata dengue fever, dengue haemorrhagic fever, and dengue shock syndrome, plus a combined dengue total series), chikungunya, and HFMD. 790,263 dengue, 32,265 chikungunya, and 713,822 HFMD cases across the ten-year window. 100% completeness across the (province, week) grid. Usage notes Researchers can use this dataset for ecological time-series modelling, interrupted time-series analysis, spatial epidemiology, comparative cross-disease analysis under shared external shocks such as the COVID-19 pandemic and forecasting benchmarks. Use of the dataset for research purposes is permissible, provided that the dataset is properly cited. Contributing a new country release Researchers and national surveillance teams in other Southeast Asian countries who would like to share their notifiable disease records as a future TRENDS country release are warmly invited to get in touch. The TRENDS team can support data cleaning, harmonisation to the TRENDS schema, and joint Zenodo release. Please contact us at [e-mail] (Mohamed Mustaf Ahmed) or [e-mail] (Krit Pongpirul), or open an issue on the GitHub repository at https://github.com/mohstaf/TRENDS. Publishers Bamrasnaradura Infectious Diseases Institute, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand Center of Excellence in Preventive and Integrative Medicine and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand