World Field Epidemiology Day, 2026 Every year on 7 September, World Field Epidemiology Day recognises the people working to detect and respond to disease outbreaks before they can take hold. This…

Mahasiswa Magister Epidemiologi Fakultas Kesehatan Masyarakat Universitas Indonesia (FKM UI) dengan peminatan Field Epidemiology Training Program (FETP),Widya ...

أعلن مركز الكويت للوقاية من الأمراض ومكافحتها التابع لوزارة الصحة اليوم الأربعاء بدء التسجيل في البرنامج الوطني للتدريب الميداني في علم الوبائيات (FETP) المستوى الأساسي والذي يعد الأول من نوعه في البلاد وذلك تمهيدا لبدء التدريب خلال الفترة من سبتمبر حتى ديسمبر 2026. وذكرت الوزارة في بيان صحفي أن البرنامج يستهدف في مرحلته الأولى المفتشين […]

YouTube video by Comedy Central Asia

YouTube video by Comedy Central Asia

BACKGROUND Technologies available for applied public health practice are rapidly evolving. Artificial intelligence (AI) tools have become more accessible, however, their utilisation by field epidemiologists has not been described. AIM We explored AI use among Canadian, European, and United States (US) Field Epidemiology Training Program (FETP) fellows. METHODS Fellows in the three programmes (n = 220) were invited to an online survey available from 25 November 2024 to 5 December 2024. Quantitative and qualitative data were collected concerning the AI platforms fellows used, AI applications, comfort level when applying AI, use frequency, impact on work, barriers, ethical concerns, AI policy/guideline availability, and AI training. RESULTS There were 105 (48%) survey respondents: 13, 56 and 36 in the Canadian, US and European FETPs respectively. The proportion of respondents who reported applying AI for work was 66% (69/105) overall, and highest among respondents of the European programme (32/36). The most adopted platform was ChatGPT (60/69; 87%), and the most common application was analytical coding assistance (63/69; 91%). Among AI users, most felt somewhat comfortable (34/69; 49%) or comfortable (24/69; 35%) with AI and reported weekly (29/69; 42%) or daily (21/69; 30%) use. Generally, AI’s reported impact was positive. Challenges included technical difficulties, accuracy concerns, bias introduction, uncertainty regarding permissible uses, and data privacy issues. Among respondents, 47% (49/105) affirmed having AI policies/guidelines in their institutions and 20% (21/105) had received AI training. CONCLUSION To further incorporate AI use among its fellows, FETPs should monitor AI’s evolving role, and provide guidance and adapt curricula accordingly.

BACKGROUND Technologies available for applied public health practice are rapidly evolving. Artificial intelligence (AI) tools have become more accessible, however, their utilisation by field epidemiologists has not been described. AIM We explored AI use among Canadian, European, and United States (US) Field Epidemiology Training Program (FETP) fellows. METHODS Fellows in the three programmes (n = 220) were invited to an online survey available from 25 November 2024 to 5 December 2024. Quantitative and qualitative data were collected concerning the AI platforms fellows used, AI applications, comfort level when applying AI, use frequency, impact on work, barriers, ethical concerns, AI policy/guideline availability, and AI training. RESULTS There were 105 (48%) survey respondents: 13, 56 and 36 in the Canadian, US and European FETPs respectively. The proportion of respondents who reported applying AI for work was 66% (69/105) overall, and highest among respondents of the European programme (32/36). The most adopted platform was ChatGPT (60/69; 87%), and the most common application was analytical coding assistance (63/69; 91%). Among AI users, most felt somewhat comfortable (34/69; 49%) or comfortable (24/69; 35%) with AI and reported weekly (29/69; 42%) or daily (21/69; 30%) use. Generally, AI’s reported impact was positive. Challenges included technical difficulties, accuracy concerns, bias introduction, uncertainty regarding permissible uses, and data privacy issues. Among respondents, 47% (49/105) affirmed having AI policies/guidelines in their institutions and 20% (21/105) had received AI training. CONCLUSION To further incorporate AI use among its fellows, FETPs should monitor AI’s evolving role, and provide guidance and adapt curricula accordingly.

At a glance Field Epidemiology Training Program (FETP) graduates in Tanzania used advanced laboratory technology to better detect pathogens in patients with severe respiratory illness. Study results helped develop a national laboratory disease guideline, strengthening the country’s early disease detection and global health security. WASHINGTON, USA – Globally, respiratory diseases cause ten million deaths every [...] The post Unseen threats: Tanzania advances disease detection appeared first on Caribbean News Global .

The Solomon Islands Field Epidemiology Training Program (Sols FETP) on 8th June commenced with new cohort of training for nine fellows across the Country.