Suppr超能文献

2018 - 2023年泰国-缅甸边境间发热性间日疟原虫疟疾的玻片阳性率、趋势及风险因素

Slide positivity, trends, and risk factors of febrile Plasmodium vivax malaria along the Thailand-Myanmar border, 2018-2023.

作者信息

Aung Pyae Linn, Rachaphaew Nattawan, Sripoorote Piyarat, Htwe Khaing Zin Zin, Suk-Aum Kritsana, Kaewkungwal Jaranit, Lawpoolsri Saranath, Cui Liwang, Sattabongkot Jetsumon

机构信息

Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Center of Vector Borne Disease Control 2.3, Ministry of Public Health, Tak, Thailand.

出版信息

Infect Dis Poverty. 2025 Aug 6;14(1):82. doi: 10.1186/s40249-025-01350-4.

Abstract

BACKGROUND

Plasmodium vivax is the predominant malaria species in many Southeast Asian countries. Eliminating all human malaria species by 2030 requires greater focus on P. vivax, with targeted measures to address its unique challenges. This study evaluated slide positivity rates, temporal trends, and risk factors associated with febrile P. vivax infections in a malaria-endemic district along the Thailand-Myanmar border.

METHODS

This study employed a community-based longitudinal surveillance design over six years (January 2018-December 2023). Data were collected through routine passive case detection at field malaria clinics using extended, standardized case record forms. Malaria diagnosis was conducted via microscopy examination. Descriptive statistics and logistic regression models were used for data analysis.

RESULTS

Among 13,347 febrile malaria-suspected patients, the cumulative slide positivity rate for P. vivax was 11.0%. Although no distinct seasonal peaks were observed, P. vivax cases generally increased in April and again in November and December. Multivariable logistic regression analysis identified several significant risk factors for febrile P. vivax infection, including school-aged children (5-14 years) (aOR: 1.56, 95% CI: 1.24-1.97), working-age adults (15-34 years) (aOR: 1.43, 95% CI: 1.02-2.00), males (aOR: 1.19, 95% CI: 1.06-1.35), Myanmar nationals (aOR: 2.37, 95% CI: 2.01-2.80), and other non-Thai nationals, such as individuals from Laos and Cambodia (aOR: 5.50, 95% CI: 3.36-8.90). A history of malaria (aOR: 1.59, 95% CI: 1.38-1.83), recent travel within two weeks (aOR: 2.38, 95% CI: 1.94-2.92), and engagement in livestock-related occupations (aOR: 2.49, 95% CI: 1.14-5.35) were also associated with higher odds of infection. In contrast, being unemployed (aOR: 0.55, 95% CI: 0.36-0.81), working in occupations such as maid, driver, or teacher (aOR: 0.78, 95% CI: 0.66-0.93), and consistent use of bed nets (aOR: 0.39, 95% CI: 0.30-0.51) significantly reduced infection risk.

CONCLUSIONS

This study identified a relatively high slide positivity rate of febrile P. vivax infection in a malaria-endemic district in western Thailand along the Myanmar border. Strengthening malaria surveillance, targeting high-risk populations, ensuring treatment adherence, and promoting early care-seeking behavior are crucial for reducing P. vivax transmission and advancing malaria elimination efforts.

摘要

背景

间日疟原虫是许多东南亚国家的主要疟原虫种类。到2030年消除所有人类疟原虫种类需要更加关注间日疟原虫,并采取针对性措施应对其独特挑战。本研究评估了泰国-缅甸边境一个疟疾流行区发热性间日疟原虫感染的血片阳性率、时间趋势和风险因素。

方法

本研究采用基于社区的六年纵向监测设计(2018年1月至2023年12月)。通过在现场疟疾诊所使用扩展的标准化病例记录表进行常规被动病例检测来收集数据。通过显微镜检查进行疟疾诊断。使用描述性统计和逻辑回归模型进行数据分析。

结果

在13347例疑似发热性疟疾患者中,间日疟原虫的累积血片阳性率为11.0%。虽然未观察到明显的季节性高峰,但间日疟原虫病例通常在4月增加,11月和12月再次增加。多变量逻辑回归分析确定了发热性间日疟原虫感染的几个重要风险因素,包括学龄儿童(5 - 14岁)(调整后的比值比:1.56,95%置信区间:1.24 - 1.97)、工作年龄成年人(15 - 34岁)(调整后的比值比:1.43,95%置信区间:1.02 - 2.00)、男性(调整后的比值比:1.19,95%置信区间:1.06 - 1.35)、缅甸国民(调整后的比值比:2.37,95%置信区间:2.01 - 2.80)以及其他非泰国国民,如来自老挝和柬埔寨的个人(调整后的比值比:5.50,95%置信区间:3.36 - 8.90)。疟疾病史(调整后的比值比:1.59,95%置信区间:1.38 - 1.83)、两周内近期旅行(调整后的比值比:2.38,95%置信区间:1.94 - 2.92)以及从事与牲畜相关职业(调整后的比值比:2.49,95%置信区间:1.14 - 5.35)也与较高的感染几率相关。相比之下,失业(调整后的比值比:0.55,95%置信区间:0.36 - 0.81)、从事女佣、司机或教师等职业(调整后的比值比:0.78,95%置信区间:0.66 - 0.93)以及持续使用蚊帐(调整后的比值比:0.39,95%置信区间:0.30 - 0.51)显著降低了感染风险。

结论

本研究确定泰国西部与缅甸边境的一个疟疾流行区发热性间日疟原虫感染的血片阳性率相对较高。加强疟疾监测、针对高危人群、确保治疗依从性以及促进早期就医行为对于减少间日疟原虫传播和推进疟疾消除工作至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ae5/12326755/4e4f81061019/40249_2025_1350_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验