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ORIGINAL ARTICLE
Year : 2020  |  Volume : 151  |  Issue : 1  |  Page : 87-92

Laboratory surveillance of chikungunya in Madhya Pradesh, India (2016-2017)


1 Division of Virology and Zoonoses, ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India
2 Maximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India

Correspondence Address:
Dr Pradip V Barde
ICMR-National Institute of Research in Tribal Health, Nagpur Road, Garha, Jabalpur 482 003, Madhya Pradesh
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmr.IJMR_204_19

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Background & objectives: Chikungunya (CHIK) is a neglected, re-emerging arboviral disease. Limited information on CHIK-confirmed cases during interepidemic period is available from India. This surveillance study was conducted in Madhya Pradesh (MP), India, during the years 2016-2017, to provide information about CHIK cases. Methods: Blood samples collected from patients suspected having CHIK were tested by immunoglobulin (Ig) IgM ELISA or real time reverse transcription-polymerase chain reaction (rRT-PCR) for the detection of CHIK virus (CHIKV)-specific IgM antibodies or viral RNA, respectively. Partial envelope-1 gene sequencing was done. Clinical and demographic data were collected and analyzed. Results: Of the 4019 samples tested, 494 (12.2%) were found positive for CHIKV infection. The positivity was detected in both rural and urban areas. The mean age of CHIK-positive cases was 33.12±18.25 yr. Headache and joint pain were the most prominent symptoms, 34.6 per cent (171/494) of the CHIK cases required hospitalization and six patients with CHIKV infection died. The East/Central/South African genotype of CHIKV was found to be circulating in the study area. Interpretation & conclusions: Our study recorded a higher CHIK positivity during 2016-2017 in comparison to earlier reports from MP, India. A high proportion of CHIK cases required hospitalization and deaths were also reported, which indicated the severity of the disease in the study area. In-depth molecular analysis of the virus and other risk factors is essential to understand the trends in disease severity.


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