Malaria Elimination Initiative, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.
Health Forefront Organization, Phnom Penh, Cambodia.
JMIR Public Health Surveill. 2024 Sep 27;10:e58584. doi: 10.2196/58584.
Cambodia is targeting the elimination of malaria by 2025. The last remaining pockets of malaria in Cambodia are concentrated among populations exposed to forested areas, but the size of these populations is not well understood. To plan for the procurement and distribution of vector-control tools, chemoprophylaxis, and other commodities for malaria prevention and surveillance, robust estimates of the population at greatest risk are required.
This study aims to estimate the number of forest-exposed individuals residing in Cambodia's highest-burden operational districts (ODs) in 2 provinces with active malaria transmission.
In April 2023, a multistage, in-person survey was conducted among residents in the 2 ODs in Cambodia with the highest malaria burden: Sen Monorom in Mondulkiri province and Phnom Srouch in Kampong Speu province. In each OD, 10 villages were randomly selected, and 35 households were randomly selected from each village. To estimate the number of individuals at high risk of malaria-defined as residing within 1 km of a forest or traveling at least once per week to the forest-respondents were asked about the distance from their household to the nearest forested area, and their travel patterns to forested areas. To account for mobility (ie, to avoid double-counting), respondents also provided information on overnight stays at other households in the selected villages in the past month. In the 4 selected villages in Sen Monorom OD where Project BITE forest packs (an intervention in the larger research program) had been distributed prior to the survey, respondents were also asked questions to determine if they had received such a pack, to develop smaller scale "multiplier method" estimates of at-risk individuals in each of those villages.
In Sen Monorom, 138 households and 872 individuals were enrolled in the survey, and in Phnom Srouch, 163 households and 844 individuals were enrolled. The estimated percentage of female householders was 49.7% (852/1716) across both ODs; the median age was 22 (IQR 12-37) years in Sen Monorom and 24.5 (IQR 16.0-40.5) years in Phnom Srouch (total age range 3-86). Based on mobility-adjusted survey estimates alone, 32% (280/706; 95% CI 19.9-47.2) of residents in Sen Monorom (an estimated 12,133-20,135 individuals) and 36% (68/198; 95% CI 24.5-45.5) of residents in Phnom Srouch (an estimated 1717-2203 individuals), met risk criteria for forest exposure. Between 125 and 186 individuals were estimated to be at risk in each of the 4 villages where the multiplier method could be applied.
This study provides estimates of the number of individuals potentially at high risk for malaria infection due to forest exposure in 2 ODs in Cambodia. These estimates can support planning for malaria control and elimination efforts. The straightforward methods of household surveys and multipliers should be feasible for many national malaria control programs.
柬埔寨的目标是到 2025 年消除疟疾。柬埔寨最后剩下的疟疾集中在接触森林地区的人群中,但这些人群的规模尚不清楚。为了计划采购和分发用于预防和监测疟疾的病媒控制工具、化学预防和其他商品,需要对风险最大的人群进行强有力的估计。
本研究旨在估计柬埔寨两个疟疾传播活跃省份中高负担操作区(OD)中居住在森林地区的人数。
2023 年 4 月,在柬埔寨疟疾负担最高的两个 OD(蒙多基里省的森莫诺隆和磅士卑省的 Phnom Srouch)的居民中进行了多阶段现场调查。在每个 OD 中,随机选择 10 个村庄,然后从每个村庄中随机选择 35 户家庭。为了估计疟疾风险较高的人数(定义为居住在离森林 1 公里以内或每周至少一次前往森林的人),询问了受访者关于他们家到最近林区的距离以及他们前往林区的旅行模式。为了说明流动性(即避免重复计算),受访者还提供了过去一个月在选定村庄中其他家庭过夜的信息。在森莫诺隆的 4 个选定村庄中,在调查之前已经分发了 BITE 森林包项目(更大的研究计划中的一个干预措施),受访者还被问到是否收到了这样的包裹,以便在每个村庄确定风险人群的较小规模“乘数法”估计数。
在森莫诺隆,有 138 户家庭和 872 人参加了调查,在 Phnom Srouch 有 163 户家庭和 844 人参加了调查。两个 ODs 的女性户主比例估计为 49.7%(1716 人中有 852 人);森莫诺隆的中位数年龄为 22 岁(IQR 12-37),Phnom Srouch 的中位数年龄为 24.5 岁(IQR 16.0-40.5)(年龄范围为 3-86 岁)。仅根据流动性调整后的调查估计,森莫诺隆 32%(280/706;95%CI 19.9-47.2)的居民(估计有 12133-20135 人)和 Phnom Srouch 36%(68/198;95%CI 24.5-45.5)的居民(估计有 1717-2203 人)符合森林接触风险标准。在可以应用乘数法的 4 个村庄中,估计每个村庄都有 125 至 186 人面临风险。
本研究提供了柬埔寨两个 ODs 中因接触森林而感染疟疾的高风险人群数量的估计数。这些估计数可以支持疟疾控制和消除工作的规划。家庭调查和乘数的简单方法应该适用于许多国家的疟疾控制计划。