{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T13:13:15Z","timestamp":1784898795764,"version":"3.55.0"},"reference-count":54,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,9,24]],"date-time":"2018-09-24T00:00:00Z","timestamp":1537747200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Institute of Life Sciences, Bhubaneswar, under Department of Biotechnology (DBT), Government of India."}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2019,2]]},"abstract":"<jats:p>Chikungunya virus (CHIKV) infection is spatiotemporally related to dengue virus (DENV) infection and mostly undiagnosed due to similar primary symptoms. In 2013, a high rate (36%) of coinfection of DENV and CHIKV was reported in Odisha. Hence, the hospital\u2010based study was continued to synthesis current epidemiological understanding of their single distribution or coinfection. Suspected DENV patients serum samples were tested for DENV and CHIKV by serology and reverse\u2010transcription polymerase chain reaction. The positive samples were used for analysis of mutation, selection pressure, and phylogenetic relationship. Clinical information was also analyzed. Among 648 (2015 and 2016) suspected DENV patients, 141 (21.7%) were positive for DENV (serotypes 1\u20103), 22 (3.4%) were positive for CHIKV (ECSA) and 4 (2.8%) were coinfected with both. Sequence analysis showed four consistent mutations (M104V, V112A, K166N, and F169L) in<jats:italic>CprM<\/jats:italic>gene of DENV 2 and two consistent mutations (M269V, D284E) in E1 gene of CHIKV. Interestingly, the CHIKV\u2010<jats:italic>E1<\/jats:italic>A226V mutation was absent in the studied population. It was also noticed that the peak incidence of both the infections occurs in August\u2010September in 2015\u201016. Moreover,<jats:italic>Plasmodium<\/jats:italic>species,<jats:italic>Salmonella typhi<\/jats:italic>, and<jats:italic>Rickettsial typhi<\/jats:italic>infections were also observed in DENV patients. Different etiology was also detected in other undifferentiated fever patients as mixed infections (malaria,<jats:italic>S. typhi<\/jats:italic>, and<jats:italic>R. typhi<\/jats:italic>). Hence, this investigation shows the significant reduction of DENV\u2010CHIKV coinfection as compared with previous report, the burden of arboviruses and acute undifferentiated fever in Odisha in 2015\u20102016, highlighting the importance of epidemiological picture of febrile patients for appropriate patient management.<\/jats:p>","DOI":"10.1002\/jmv.25307","type":"journal-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T16:06:26Z","timestamp":1536336386000},"page":"163-170","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Epidemiological trends and molecular dynamics of dengue, chikungunya virus infection, coinfection, and other undifferentiated fever during 2015\u20102016 in Odisha, India"],"prefix":"10.1002","volume":"91","author":[{"given":"Tanuja","family":"Saswat","sequence":"first","affiliation":[{"name":"Department of Infectious Disease Biology Institute of Life Sciences Bhubaneswar 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