Molecular virology profiles of dengue cases in Bandung, Indonesia.

IF 1.2 4区 医学 Q4 INFECTIOUS DISEASES
Nisa Fauziah, Yunia Sribudiani, Lia Faridah, Fedri Ruluwedrata Rinawan, Naufal Fakhri Nugraha, Muhammad Farhan Maulana, Dwi Agustian
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Abstract

Background objectives: Bandung City, West Java, Indonesia, is one of the hyperendemic areas for dengue virus (DENV) infections. However, data on virus distribution in this area is currently limited. This study aims to assess the distribution of serotypes and genotypes of DENV isolated from dengue patients in primary healthcare facilities (PHC) in 2018.

Methods: A cross-sectional study was conducted in three PHCs in Bandung City from May to October 2018. Suspected dengue patients with a fever lasting than five days were enrolled. Demographic and clinical data were collected upon enrollment. Dengue NS1 rapid diagnostic test (RDT) were followed by RT-PCR and nested PCR performed on patients' serum samples. A phylogenetic tree was constructed based on E-gene sequence data.

Results: A total of 236 suspected dengue patients were enrolled in this study, with 51 confirmed dengue infections based on the NS1 rapid test. Among these 51 cases, 23 (45%) were positive by RT-PCR (2 DENV-1, 6 DENV-2, 10 DENV-3, 3 DENV-4, and 2 with mixed DENV serotypes). The predominance DENV-3 in 2018 was consistent with the reports from 2008, indicating the same predominant serotype circulated in the area. Phylogenetic analysis revealed that DENV-1 genotype 1 and DENV-3 genotype 1 were circulating in Bandung.

Interpretation conclusion: All four DENV serotypes were identified in samples collected from PHC Neglasari, Padasuka, and Sukajadi, confirming that Bandung is a hyperendemic areas. Strengthening vector control measures is crucial to prevent further transmission of dengue infection.

印度尼西亚万隆登革热病例的分子病毒学概况。
背景目的:印度尼西亚西爪哇万隆市是登革热病毒(DENV)感染高流行地区之一。然而,关于该地区病毒分布的数据目前有限。本研究旨在评估2018年初级卫生保健机构(PHC)登革热患者分离的DENV血清型和基因型分布。方法:2018年5 - 10月在万隆市3家初级保健医院进行横断面研究。纳入了发烧持续5天以上的疑似登革热患者。在入组时收集人口统计学和临床数据。采用登革热NS1快速诊断试验(RDT)、RT-PCR和巢式PCR对患者血清样本进行检测。基于e基因序列数据构建了系统发育树。结果:本研究共纳入236例疑似登革热患者,其中51例基于NS1快速检测确诊登革热感染。51例中,RT-PCR阳性23例(45%),其中DENV-1型2例,DENV-2型6例,DENV-3型10例,DENV-4型3例,混合DENV血清型2例。2018年DENV-3的优势与2008年的报告一致,表明该地区传播的优势血清型相同。系统发育分析显示,DENV-1基因1型和DENV-3基因1型在万隆市流行。解释结论:在从尼亚萨里、帕达苏卡和苏卡贾迪省采集的样本中发现了所有四种登革热血清型,证实万隆是一个高流行地区。加强病媒控制措施对于预防登革热感染的进一步传播至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Vector Borne Diseases
Journal of Vector Borne Diseases INFECTIOUS DISEASES-PARASITOLOGY
CiteScore
0.90
自引率
0.00%
发文量
89
审稿时长
>12 weeks
期刊介绍: National Institute of Malaria Research on behalf of Indian Council of Medical Research (ICMR) publishes the Journal of Vector Borne Diseases. This Journal was earlier published as the Indian Journal of Malariology, a peer reviewed and open access biomedical journal in the field of vector borne diseases. The Journal publishes review articles, original research articles, short research communications, case reports of prime importance, letters to the editor in the field of vector borne diseases and their control.
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