Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA.
Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA.
Mil Med. 2023 Jul 22;188(7-8):e2074-e2081. doi: 10.1093/milmed/usac415.
Cholera remains a significant public health threat for many countries, and the severity largely varies by the population and local conditions that drive disease spread, especially in endemic areas prone to natural disasters and flooding. Epidemiological models can provide useful information to military planners for understanding disease spread within populations and the effectiveness of response options for preventing the transmission among deployed and stationed personnel. This study demonstrates the use of epidemiological modeling to understand the dynamics of cholera transmission to inform emergency planning and military preparedness in areas with highly communicable diseases.
Areas with higher probability for a potential cholera outbreak in Haiti followed by a natural disaster were identified. The hotspots were then used to seed an extended compartmental model, EpiGrid, to simulate notional spread scenarios of cholera originating in three distinct areas in Haiti. Disease parameters were derived from the 2010 cholera outbreak in Haiti, and disease spread was simulated over a 12-week period under uncontrolled and controlled spread.
For each model location, scenarios of mitigated (intervention with 30% transmission reduction via international aid) and unmitigated (without intervention) are simulated. The results depict the geographical spread and estimate the cumulative cholera infection for each notional scenario over the course of 3 months. Disease transmission differs considerably across origin site with an outbreak originating in the department of Nippes spanning the largest geographic area and resulting in the largest number of cumulative cases after 12 weeks under unmitigated (79,518 cases) and mitigated (35,667 cases) spread scenarios.
We modeled the notional re-emergence and spread of cholera following the August 2021 earthquake in Haiti while in the midst of the global COVID-19 pandemic. This information can help guide military and emergency response decision-making during an infectious disease outbreak and considerations for protecting military personnel in the midst of a humanitarian response. Military planners should consider the use of epidemiological models to assess the health risk posed to deployed and stationed personnel in high-risk areas.
霍乱仍然是许多国家的重大公共卫生威胁,其严重程度在很大程度上取决于人群和当地条件,这些条件推动了疾病的传播,特别是在容易发生自然灾害和洪水的流行地区。流行病学模型可以为军事规划人员提供有用的信息,以了解人群中的疾病传播情况,以及预防部署和驻扎人员之间传播的应对方案的有效性。本研究展示了使用流行病学模型来了解霍乱传播的动态,以为具有高度传染性疾病的地区的应急规划和军事准备提供信息。
确定海地可能发生霍乱疫情爆发并随后发生自然灾害的高概率地区。然后,将热点地区用于播种扩展的隔室模型 EpiGrid,以模拟源自海地三个不同地区的霍乱名义传播场景。疾病参数源自 2010 年海地霍乱疫情,在不受控制和受控制的传播下,疾病传播模拟了 12 周的时间。
对于每个模型位置,模拟了减轻(通过国际援助减少 30%的传播的干预)和未减轻(无干预)的情景。结果描绘了地理传播,并估计了每个名义场景在 3 个月内的累积霍乱感染情况。不同的发病地点的疾病传播差异很大,在尼普斯省爆发的疫情覆盖的地理区域最大,在未减轻(79518 例)和减轻(35667 例)传播情景下,12 周后累积病例数最多。
我们模拟了 2021 年 8 月海地地震后霍乱的名义再次出现和传播,而此时正值全球 COVID-19 大流行期间。这些信息可以帮助指导传染病爆发期间的军事和应急响应决策,并考虑在人道主义应对期间保护军事人员。军事规划人员应考虑使用流行病学模型来评估高危地区部署和驻扎人员所面临的健康风险。