自愿测试对传染病流行病学的影响:一种游戏理论方法
Amandine Pepiot1, Virginie Supervie1, Romulus Breban2
1Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Sorbonne Université, INSERM, Paris, France.
PloS one
|November 7, 2023
概括
通过高参与测试和治疗计划,可以消除艾滋病毒和性传播疾病等传染病流行病. 为自愿测试提供激励措施显著增加了参与率,从而导致了疫情控制.
科学领域:
- 流行病学 流行病学
- 行为经济学是一种行为经济学.
- 数学建模的数学建模
背景情况:
- 世界卫生组织 (WHO) 倡导测试和治疗策略,以控制艾滋病毒,病毒性肝炎和性传播感染 (STIs) 的流行病.
- 实现疫情控制取决于这些干预措施的高个体参与率.
- 了解有关测试的个人决策对于设计有效的公共卫生战略至关重要.
研究的目的:
- 通过结合流行病和游戏理论方法,模拟针对传染病的个人测试决策.
- 分析所感知的成本和收益对艾滋病毒,HCV和性传播感染等疾病的自愿测试行为的影响.
- 确定最佳的干预策略,以促进高检测率的流行病缓解.
主要方法:
- 开发三种混合模型,整合流行病和游戏理论原则.
- 对不同测试成本和潜在回报的个体行为反应的模拟.
- 在不同参与测试的场景下分析疾病传播动态.
主要成果:
- 个人表现出基于感知成本的三个不同的测试行为:仅症状测试 (高成本),中等自愿测试 (中等成本) 和高自愿测试 (低成本/高回报).
- 适度的测试率可以减轻疾病的传播,而高的自愿测试,受到足够的每次测试回报的激励,可以导致临时的流行病消除.
- 这些发现在不同的传染病中是一致的,包括艾滋病毒,HCV和性传播感染.
结论:
- 个人测试决策受到与测试相关的感知成本和收益的重大影响.
- 通过每次测试的回报超过一定的门来激励自愿测试是一个可行的策略,以实现高参与率.
- 有效的公共卫生干预需要定制策略,以鼓励对疫情控制进行一致和广泛的测试.
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