Mehedi Hasan Sumon Md, Jubair Mohammad, Tony Selim Reza, Johorul Islam Md, Paul Dipak Kumar, Shaharia Md Al, Faisal Alam Khandker Md, Rahman Mustafizur, Biswas Sudhangshu Kumar
Bacteriophage Biology and Genomics Lab, Department of Biotechnology & Genetic Engineering, Islamic University, 7003, Bangladesh.
Genome Centre, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
IDCases. 2024 Jul 16;37:e02032. doi: 10.1016/j.idcr.2024.e02032. eCollection 2024.
The 2023 dengue outbreak in Bangladesh marked an unprecedented increase in fatalities, particularly in Dhaka, and demonstrated extensive prevalence nationwide, including Rajshahi district. Dengue fever remains a significant public health challenge in Southeast Asia, with complex epidemiological patterns. Previous research has mainly focused on den serotypes in Dhaka. Therefore, this study aims to identify serotypes in the Rajshahi district under endemic conditions.
Blood samples from suspected dengue patients were collected at Rajshahi Medical College Hospital. Initial rapid detection of dengue-positive cases was performed using (Nonstructural Protein 1 L) NS1, (Immunoglobulin G) IgG, and (Immunoglobulin M) IgM tests. Upon confirmation of dengue positivity, viral RNA was extracted for molecular testing. The dengue serotype was identified using real-time reverse transcription-polymerase chain reaction (rRT-PCR).
The study revealed that 93.3 % of the patient were infected with (Dengue virus type 2) DENV2 and rest 6.7 % of the patient were (Dengue virus type 3) DENV3 among 30 dengue positive patients. Demographic observations show the distribution of dengue over nine upazilas. In Paba upazila, we found two DENV3 alongside DENV2.
The study concludes that the 2023 dengue outbreak in Rajshahi district, Bangladesh, predominantly involved the DENV2 serotype. Geospatial analysis underscores the importance of understanding regional distribution patterns to enhance targeted interventions against dengue fever in endemic areas.
2023年孟加拉国登革热疫情导致死亡人数空前增加,尤其是在达卡,并且在全国范围内广泛流行,包括拉杰沙希地区。登革热仍然是东南亚地区一项重大的公共卫生挑战,其流行病学模式复杂。以往的研究主要集中在达卡的登革热血清型。因此,本研究旨在确定拉杰沙希地区地方流行情况下的血清型。
在拉杰沙希医学院医院采集疑似登革热患者的血样。使用非结构蛋白1(NS1)、免疫球蛋白G(IgG)和免疫球蛋白M(IgM)检测对登革热阳性病例进行初步快速检测。在确认登革热呈阳性后,提取病毒RNA进行分子检测。使用实时逆转录聚合酶链反应(rRT-PCR)鉴定登革热血清型。
该研究显示,在30例登革热阳性患者中,93.3%的患者感染了登革热病毒2型(DENV2),其余6.7%的患者感染了登革热病毒3型(DENV3)。人口统计学观察显示登革热在9个乡的分布情况。在帕巴乡,我们发现除了DENV2外还有两例DENV3。
该研究得出结论,2023年孟加拉国拉杰沙希地区的登革热疫情主要涉及DENV2血清型。地理空间分析强调了了解区域分布模式对于加强地方流行区登革热针对性干预措施的重要性。