The purpose of this study was to assess the prevalence and
seroprevalence of acute dengue and chikungunya virus infections, as well as
their co-infections. Viral-borne diseases have recently gained significant
public health importance in the current world. Chikungunya disease has been documented
in non-endemic countries, despite the fact that CHIKV has largely been detected
in underdeveloped countries, suggesting the possibility of ongoing transmission
to new locations. The Viral Research and Diagnostic Laboratory (VRDL) located
at Government Theni Medical College (GTMC), Theni, Tamil Nadu conducts the
diagnosis of common virus infections. The present study was a retrospective
study conducted at the Viral Research and Diagnostics Laboratory (VRDL) located
at a tertiary care hospital, in Theni, India from January 2018 to June 2023.
DENV and CHIKV were detected using an enzyme-linked immunosorbent assay (ELISA)
in all of the samples. This study included 16,997 cases, with 11264/2971
(26.3%) testing positive for Dengue IgM, 1395/288 (20.6%) for Dengue NS1 Ag,
19/3 (15.7%) for IgG, and 4319/3388 (8.9%) for CHIKV IgM. Fever (n = 16598,
97.6%) was the most prevalent clinical characteristic in all probable dengue
and chikungunya patients. Other symptoms were chills (n = 11252, 66.1%),
arthralgia (n = 10245, 60.2%), headache (n = 11354, 66.8%), and joint pain (n =
11256, 66.2%). The results demonstrated a lower probability of obtaining both
DENV and CHIKV infections at the same time, although the risk is still not
negligible. This study looks into the clinical appearance of suspected
Dengue-Chikungunya patients. The increased frequency of Dengue and Chikungunya,
as well as their co-infection, demands close monitoring of endemic regions and
effective patient care management. Understanding the prevalence of
Dengue-Chikungunya infection in this area will be easier with a longer time
horizon, a larger sample size, and information on the co-infection status.
Taking all of these aspects into account, prompt and effective treatment can
aid in the prediction and control of viral epidemics.
Author (s) details:-
R. Gopinath
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
M. Arundadhi
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
A. Dhanasezhian
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
M. Sowndarya
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
Daya Pauline S.
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
G. Sucila Thangam
Department of Microbiology, Govt. Theni Medical College, Theni, Tamil
Nadu-625512, India.
Please See the book here :-
https://doi.org/10.9734/bpi/mria/v1/307
