Seropositivity of Chikungunya in Hospital Setting, India: A Systematic Review and Meta-Analysis.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Indian Journal of Community Medicine Pub Date : 2024-11-01 Epub Date: 2024-10-17 DOI:10.4103/ijcm.ijcm_63_24
Ramya Nagarajan, Lavanya Ayyasamy, Parasuraman Ganeshkumar, Saravanakumar Velusamy, Manoj Murhekar
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Abstract

Backround: Information about the chikungunya disease burden by age groups and geographic distribution is necessary to guide appropriate control measures. With this, we conducted a systematic review and meta-analysis to estimate the disease burden of chikungunya fever in India.

Material and methods: We conducted this systematic review according to the Cochrane Collaboration guidelines. We retrieved relevant articles from PubMed and a free online search. Two investigators screened titles and abstracts and extracted data from the relevant articles. Our primary outcome is the proportion of laboratory-confirmed Chikungunya fever among clinically suspected patients. We used a random effect model to estimate the pooled proportion of Chikungunya fever.

Result: A total of 20 articles were included in the quantitative syntheses. The pooled proportion of laboratory-confirmed chikungunya fever from 20 studies estimated using the random effects model is 24% (95%CI: 15-34%). We found the pooled proportion in the southern region was 35% (95%CI: 4-66%), 28% (95%CI: 3-58%) in the western region, 24% (95%CI: 1-48%) in the eastern region, 20% (95%CI: 12-29%) in the northern region, and 4% (95%CI: 1-6%) in North-eastern region.

Conclusion: This review emphasizes the need to strengthen the surveillance of disease burden using multiple diagnostic tests and the need for an appropriate molecular diagnostic for early detection of the chikungunya virus.

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印度医院环境中基孔肯雅热血清阳性:系统回顾和荟萃分析
背景:按年龄组和地理分布分列的基孔肯雅病负担信息对于指导适当的控制措施是必要的。因此,我们进行了系统回顾和荟萃分析,以估计印度基孔肯雅热的疾病负担。材料和方法:我们根据Cochrane协作指南进行了本系统综述。我们从PubMed和一个免费的在线搜索中检索相关文章。两位研究者筛选题目和摘要,并从相关文章中提取数据。我们的主要结局是实验室确诊的基孔肯雅热在临床疑似患者中的比例。我们使用随机效应模型来估计基孔肯雅热的合并比例。结果:共纳入20篇文献。使用随机效应模型估计的20项研究中实验室确诊基孔肯雅热的总比例为24%(95%置信区间:15-34%)。我们发现,南方地区的合并比例为35% (95%CI: 4-66%),西部地区为28% (95%CI: 3-58%),东部地区为24% (95%CI: 1-48%),北部地区为20% (95%CI: 12-29%),东北部地区为4% (95%CI: 1-6%)。结论:本综述强调有必要利用多种诊断检测加强疾病负担监测,并有必要为早期发现基孔肯雅病毒进行适当的分子诊断。
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来源期刊
Indian Journal of Community Medicine
Indian Journal of Community Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.30
自引率
0.00%
发文量
85
审稿时长
49 weeks
期刊介绍: The Indian Journal of Community Medicine (IJCM, ISSN 0970-0218), is the official organ & the only official journal of the Indian Association of Preventive and Social Medicine (IAPSM). It is a peer-reviewed journal which is published Quarterly. The journal publishes original research articles, focusing on family health care, epidemiology, biostatistics, public health administration, health care delivery, national health problems, medical anthropology and social medicine, invited annotations and comments, invited papers on recent advances, clinical and epidemiological diagnosis and management; editorial correspondence and book reviews.
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