Distinct Dengue Disease Epidemiology, Clinical, and Diagnosis Features in Western, Central, and Eastern Regions of Indonesia, 2017-2019.

Distinct Dengue Disease Epidemiology, Clinical, and Diagnosis Features in Western, Central, and Eastern Regions of Indonesia, 2017-2019.
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DOI:
10.3389/fmed.2020.582235
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发表时间:
2020
影响因子:
3.9
通讯作者:
Frost SDW
Frost SDW
中科院分区:
医学3区
文献类型:
--
作者:
Sasmono RT;Santoso MS;Pamai YWB;Yohan B;Afida AM;Denis D;Hutagalung IA;Johar E;Hayati RF;Yudhaputri FA;Haryanto S;Stubbs SCB;Blacklaws BA;Myint KSA;Frost SDW

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50多年来,印度尼西亚人民一直饱受登革热的折磨,这是一种由蚊子传播的病毒疾病。该国是世界上最大的群岛,其不同的地理、气候和人口条件可能会影响疾病传播的动态。我们发起了一项登革热流行病学研究,以比较和了解分别代表印度尼西亚西部、中部和东部的三个城市,即巴淡岛、班加马辛和安邦的登革热和其他虫媒病毒疾病的动态。在2017年9月至2019年9月期间,共招募了732名患有登革热样病的发热患者,并对他们的人口统计学、临床和病毒学特征进行了分析。登革热类疾病的季节模式在这三个地区被发现是不同的。在所有患者中,271例(37.0%)经病毒学确诊为登革热,152例(20.8%)被诊断为疑似登革热,使登革热患者总数达到423例(57.8%)。不同城市的患者年龄和临床表现也不同。大多数情况下,巴淡岛出现了轻微的登革热,而安邦则出现了较严重的病例。虽然检测到了所有的登革热病毒(DENV)血清型,但不同的血清型在不同的地点占主导地位:DENV-1在巴淡岛和安邦,DENV-3在Banjarmasin。我们还评估了研究地点的诊断特征,这些特征揭示了诊断一致的不同模式,特别是在安邦。为了检测感染其他虫媒病毒的可能性,使用泛黄病毒和甲型病毒RT-PCRS对461份DENV RT-PCR阴性样本进行了进一步检测;然而,在安邦只检测到一例基孔肯雅感染。在印度尼西亚西部、中部和东部观察到不同的登革热流行病学,这可能受到当地地理、气候和人口条件的影响,以及医疗保健提供者和设施质量的差异。我们的研究增加了对印度尼西亚登革热流行病学的新理解。
The people of Indonesia have been afflicted by dengue, a mosquito-borne viral disease, for over 5 decades. The country is the world's largest archipelago with diverse geographic, climatic, and demographic conditions that may impact the dynamics of disease transmissions. A dengue epidemiology study was launched by us to compare and understand the dynamics of dengue and other arboviral diseases in three cities representing western, central, and eastern Indonesia, namely, Batam, Banjarmasin, and Ambon, respectively. A total of 732 febrile patients were recruited with dengue-like illness during September 2017–2019 and an analysis of their demographic, clinical, and virological features was performed. The seasonal patterns of dengue-like illness were found to be different in the three regions. Among all patients, 271 (37.0%) were virologically confirmed dengue, while 152 (20.8%) patients were diagnosed with probable dengue, giving a total number of 423 (57.8%) dengue patients. Patients' age and clinical manifestations also differed between cities. Mostly, mild dengue fever was observed in Batam, while more severe cases were prominent in Ambon. While all dengue virus (DENV) serotypes were detected, distinct serotypes dominated in different locations: DENV-1 in Batam and Ambon, and DENV-3 in Banjarmasin. We also assessed the diagnostic features in the study sites, which revealed different patterns of diagnostic agreements, particularly in Ambon. To detect the possibility of infection with other arboviruses, further testing on 461 DENV RT-PCR-negative samples was performed using pan-flavivirus and -alphavirus RT-PCRs; however, only one chikungunya infection was detected in Ambon. A diverse dengue epidemiology in western, central, and eastern Indonesia was observed, which is likely to be influenced by local geographic, climatic, and demographic conditions, as well as differences in the quality of healthcare providers and facilities. Our study adds a new understanding on dengue epidemiology in Indonesia.
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