Dengue infection in India: A systematic review and meta-analysis

被引:136
作者
Ganeshkumar, Parasuraman [1 ]
Murhekar, Manoj V. [1 ]
Poornima, Veeraraghavadoss [2 ]
Saravanakumar, Velusamy [1 ]
Sukumaran, Krishnendu [2 ]
Anandaselvasankar, Anandan [2 ]
John, Denny [3 ]
Mehendale, Sanjay M. [4 ]
机构
[1] Natl Inst Epidemiol, Dept Epidemiol, Madras, Tamil Nadu, India
[2] Jawaharlal Inst Postgrad Med Educ & Res, Sch Publ Hlth, Pondicherry, India
[3] Campbell Collaborat, New Delhi, India
[4] Indian Council Med Res, Div Epidemiol & Communicable Dis, New Delhi, India
来源
PLOS NEGLECTED TROPICAL DISEASES | 2018年 / 12卷 / 07期
关键词
UNDIFFERENTIATED FEBRILE ILLNESS; CLINICO-EPIDEMIOLOGIC PROFILE; SEROTYPE-3; SUBTYPE-III; HEMORRHAGIC-FEVER; CHIKUNGUNYA VIRUS; WEST-BENGAL; RURAL AREA; MOLECULAR CHARACTERIZATION; GENETIC-CHARACTERIZATION; ATYPICAL MANIFESTATIONS;
D O I
10.1371/journal.pntd.0006618
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Introduction Dengue is the most extensively spread mosquito-borne disease; endemic in more than 100 countries. Information about dengue disease burden, its prevalence, incidence and geographic distribution is critical in planning appropriate control measures against dengue fever. We conducted a systematic review and meta-analysis of dengue fever in India Methods We searched for studies published until 2017 reporting the incidence, the prevalence or case fatality of dengue in India. Our primary outcomes were (a) prevalence of laboratory confirmed dengue infection among clinically suspected patients, (b) seroprevalence in the general population and (c) case fatality ratio among laboratory confirmed dengue patients. We used binomial +/- normal mixed effects regression model to estimate the pooled proportion of dengue infections. Forest plots were used to display pooled estimates. The metafor package of R software was used to conduct meta-analysis. Results Of the 2285 identified articles on dengue, we included 233 in the analysis wherein 180 reported prevalence of laboratory confirmed dengue infection, seven reported seroprevalence as evidenced by IgG or neutralizing antibodies against dengue and 77 reported case fatality. The overall estimate of the prevalence of laboratory confirmed dengue infection among clinically suspected patients was 38.3% (95% CI: 34.8% -41.8%). The pooled estimate of dengue seroprevalence in the general population and CFR among laboratory confirmed patients was 56.9% (95% CI: 37.5 - 74.4) and 2.6% (95% CI: 2 - 3.4) respectively. There was significant heterogeneity in reported outcomes (p-values< 0.001). Conclusions Identified gaps in the understanding of dengue epidemiology in India emphasize the need to initiate community-based cohort studies representing different geographic regions to generate reliable estimates of age-specific incidence of dengue and studies to generate dengue seroprevalence data in the country.
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