通过 Anopheles maculipennis s.l. 的概率分布来建模疟疾的空间风险. 和进口的案例
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Shirin Taheri1, Mikel Alexander González1,2, María José Ruiz-López1,2
1Departamento de Biología de la Conservación y Cambio Global, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain.
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概括
疟疾载体如Anopheles maculipennis s.l. 这样的病媒. 在西班牙存在,构成本地传播的风险. 将输入病例的载体分布映射到地图上,可以确定针对疟疾预防工作的关键领域.
科学领域:
- 医学昆虫学 医学昆虫学
- 流行病学 流行病学
- 空间分析 空间分析
背景情况:
- 疟疾是一个重要的全球传染病,进口病例在欧洲等非流行地区构成风险.
- 在非特有国家的有能力的Anopheles载体的存在促进了当地疟疾传播的潜力.
- 零星爆发是一个公共卫生问题,需要在载体存在和进口病例的地区进行风险评估.
研究的目的:
- 为了模拟主要疟疾载体Anopheles maculipennis s.l.在西班牙的潜在分布.
- 通过将载体分布与进口病例数据相结合,确定具有较高本地疟疾传播风险的地理热点.
- 确定针对疟疾重新出现的目标监测和预防战略的优先领域.
主要方法:
- 使用了八种建模技术的组合来预测Anopheles maculipennis s.l. 分布. 分布. 分布. 分布. 分布.
- 用于载体分布建模的环境参数和2000-2020年的存在/缺席数据.
- 集成预测蚊子分布图与市级进口疟疾病例数据.
主要成果:
- 这种虫叫做Anopheles maculipennis s.l. 发现它更喜欢具有温暖气候和适度降雨的灌土地.
- 在西班牙北部,大陆和南部确定了传播媒介发生的高概率区域,与进口疟疾病例重叠.
- 四个本地蚊子传播疟疾传染病例发生在进口病例和载体存在之间存在明显重叠的地区.
结论:
- 虽然西班牙疟疾复发的总体风险很低,但在地理上却很集中.
- 将蚊子分布与人类发病率数据相结合,是评估传播风险变化的有效工具.
- 确定高风险的地理区域对于实施有针对性的监测和预防措施以减轻疟疾传播至关重要.
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