Tran Bach Xuan, Vu Ha Ngoc, Duong David B, Boyer Laurent, Long Tran Hoang, Nguyen Duy Cao, Tang Shenglan
Faculty of Public Health, VNU University of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam.
Bloomberg School of Public Health, Johns Hopkins University, Maryland, USA.
J Glob Health. 2025 Apr 2;15:03018. doi: 10.7189/jogh.15.03018.
A key priority for strengthening global health capacity for pandemic response is rapid risk assessment for timely, context-specific decision-making. However, integrating human and animal health data for preparedness remains a challenge, especially at the primary healthcare (PHC) level. Here we review Vietnam's pandemic response and propose a conceptual framework for improving data integration across sectors in low- and middle-income countries. Despite the country's progress in health information systems and telehealth, disparities in data use and coordination between human and animal health sectors hindered effective responses. Existing mechanisms between healthcare and veterinary professionals lack integrated data-sharing, delaying risk communication and crisis management, particularly in rural areas with limited IT access and infrastructure. The proposed model includes five components: data interoperability with standardised indicators for real-time synthesis; robust digital health infrastructure and telehealth expansion; capacity building in data management for health and veterinary professionals; epidemic intelligence tools for risk assessment; and evidence-driven decision-making for coordinated epidemic responses. This model offers a pathway to strengthen health systems and improve pandemic preparedness at the PHC level in Vietnam and similar settings.
加强全球应对大流行的卫生能力的一个关键优先事项是进行快速风险评估,以便做出及时、因地制宜的决策。然而,整合人类和动物卫生数据以做好准备仍然是一项挑战,尤其是在初级卫生保健层面。在此,我们回顾越南的大流行应对情况,并提出一个概念框架,以改善低收入和中等收入国家各部门之间的数据整合。尽管该国在卫生信息系统和远程医疗方面取得了进展,但人类和动物卫生部门在数据使用和协调方面的差距阻碍了有效应对。医疗保健和兽医专业人员之间的现有机制缺乏整合的数据共享,延误了风险沟通和危机管理,特别是在信息技术接入和基础设施有限的农村地区。提议的模式包括五个组成部分:具有用于实时综合的标准化指标的数据互操作性;强大的数字卫生基础设施和远程医疗扩展;卫生和兽医专业人员的数据管理能力建设;用于风险评估的流行病情报工具;以及基于证据的决策以协调疫情应对。该模式为加强越南及类似环境下初级卫生保健层面的卫生系统和改善大流行防范提供了一条途径。