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泰国难府农村社区被忽视的人类立克次体病的危险因素分析:沿景观梯度的基于社区的观察性研究。

Risk factors analysis for neglected human rickettsioses in rural communities in Nan province, Thailand: A community-based observational study along a landscape gradient.

机构信息

Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Mahidol-Oxford Tropical Research Medicine Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

出版信息

PLoS Negl Trop Dis. 2022 Mar 23;16(3):e0010256. doi: 10.1371/journal.pntd.0010256. eCollection 2022 Mar.

DOI:10.1371/journal.pntd.0010256
PMID:35320277
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8979453/
Abstract

In this study, we estimated exposure for Scrub typhus (STG), Typhus (TG) and Spotted fever groups (SFG) rickettsia using serology at a fine scale (a whole sub-district administration level) of local communities in Nan Province, Thailand. Geographical characteristics of the sub-district were divided into two landscape types: lowland agricultural area in an urbanized setting (lowland-urbanized area) and upland agricultural area located close to a protected area of National Park (upland-forested area). This provided an ideal contrast between the two landscapes with low and high levels of human-altered habitats to study in differences in disease ecology. In total, 824 serum samples of participants residing in the eight villages were tested by screening IgG ELISA, and subsequently confirmed by the gold standard IgG Immunofluorescent Assay (IFA). STG and TG IgG positivity were highest with seroprevalence of 9.8% and 9.0%, respectively; whereas SFG positivity was lower at 6.9%. Inhabitants from the villages located in upland-forested area demonstrated significantly higher STG exposure, compared to those villages in the lowland-urbanized area (chi-square = 51.97, p < 0.0001). In contrast, TG exposure was significantly higher in those villagers living in lowland-urbanized area (chi-square = 28.26, p < 0.0001). In addition to the effect of landscape types, generalized linear model (GLM) analysis identified socio-demographic parameters, i.e., gender, occupation, age, educational level, domestic animal ownership (dog, cattle and poultry) as influential factors to explain the level of rickettsial exposure (antibody titers) in the communities. Our findings raise the public health awareness of rickettsiosis as a cause of undiagnosed febrile illness in the communities.

摘要

在这项研究中,我们使用血清学方法在泰国那空帕农府的一个小社区(整个分区行政级别)估算了恙虫病(STG)、斑疹伤寒(TG)和斑点热群(SFG)立克次体的暴露情况。分区的地理特征分为两种景观类型:城市化的低地农业区(低地-城市化区)和靠近国家公园保护区的高地农业区(高地-森林区)。这为在两种具有低水平和高水平人为改变生境的景观之间研究疾病生态学的差异提供了理想的对比。总共对居住在 8 个村庄的 824 名参与者的血清样本进行了 IgG ELISA 筛选检测,随后通过金标准 IgG 免疫荧光分析(IFA)进行了确认。STG 和 TG 的 IgG 阳性率最高,分别为 9.8%和 9.0%;而 SFG 的阳性率较低,为 6.9%。与位于低地-城市化区的村庄相比,位于高地-森林区的村庄的居民 STG 暴露水平显著更高(卡方=51.97,p<0.0001)。相反,居住在低地-城市化区的村庄的居民 TG 暴露水平显著更高(卡方=28.26,p<0.0001)。除了景观类型的影响外,广义线性模型(GLM)分析确定了社会人口统计学参数,即性别、职业、年龄、教育程度、家庭饲养动物(狗、牛和家禽)是解释社区中立克次体暴露(抗体滴度)水平的影响因素。我们的研究结果提高了公众对立克次体病作为社区未确诊发热疾病的原因的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/3dff6aa98fd6/pntd.0010256.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/debe58e33faa/pntd.0010256.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/254094bdb462/pntd.0010256.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/06d79dc13692/pntd.0010256.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/dbed324427d9/pntd.0010256.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/3dff6aa98fd6/pntd.0010256.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/debe58e33faa/pntd.0010256.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/254094bdb462/pntd.0010256.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/06d79dc13692/pntd.0010256.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/dbed324427d9/pntd.0010256.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/754b/8979453/3dff6aa98fd6/pntd.0010256.g005.jpg

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