乌克兰的正式传染病监测因俄罗斯2022年的入侵而中断,导致跟踪和遏制流行病的挑战。分析战争对传染病流行病学的影响,我们使用了EPIWATCH的开源数据,人工智能预警系统。我们分析了冲突之前(2021年11月1日至2022年2月23日)和冲突期间(2022年2月24日至7月31日)的传染病和综合症的模式。我们将报告频率最高的疾病的病例数与正式来源的病例数进行了比较,发现总体传染病报告和霍乱病例数有所增加,肉毒杆菌中毒,结核病,艾滋病毒/艾滋病,狂犬病,与入侵前相比,沙门氏菌病。在冲突期间,尽管开源情报捕获了流行病的病例数,此类数据(白喉除外)未被正式监测/低估.在军事冲突期间没有正式监视的情况下,开源数据为传染病控制提供了有用的流行病情报。
Formal infectious disease surveillance in Ukraine has been disrupted by Russia\'s 2022 invasion, leading to challenges with tracking and containing epidemics. To analyze the effects of the war on infectious disease epidemiology, we used open-source data from EPIWATCH, an artificial intelligence early-warning system. We analyzed patterns of infectious diseases and syndromes before (November 1, 2021-February 23, 2022) and during (February 24-July 31, 2022) the conflict. We compared case numbers for the most frequently reported diseases with numbers from formal sources and found increases in overall infectious disease reports and in case numbers of cholera, botulism, tuberculosis, HIV/AIDS, rabies, and salmonellosis during compared with before the invasion. During the conflict, although open-source intelligence captured case numbers for epidemics, such data (except for diphtheria) were unavailable/underestimated by formal surveillance. In the absence of formal surveillance during military conflicts, open-source data provide epidemic intelligence useful for infectious disease control.