Evidence map›Paper›PMID 42255767›Full record

ArticleCureus2026

Epidemiology, Clinical Spectrum, and Serotype Distribution of NS1-Confirmed Dengue Cases in Andhra Pradesh, India: A Decade-Long Retrospective Study.

Kodavala Sireesha, Anju Verma, Usha Kalawat, Soumya Dakshinamurthy, Nukaboina Ramakrishna, Deepika Gopi, Pamireddy Madhavi Latha, Alladi Mohan

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kodavala SireeshaDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Anju VermaDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Usha KalawatDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Soumya DakshinamurthyDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Nukaboina RamakrishnaDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Deepika GopiDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Pamireddy Madhavi LathaDepartment of Microbiology, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.
Alladi MohanDepartment of General Medicine, Sri Venkateswara Institute of Medical Sciences, Tirupati, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue is a major public health concern in India, showing marked seasonal variation and diverse clinical manifestations. Long-term regional data are essential for improving early diagnosis and guiding public health interventions. This study assessed decade-long epidemiological trends, clinical spectrum, and dengue virus serotype distribution among NS1-confirmed dengue cases in Andhra Pradesh, India.

methodsWe conducted a retrospective observational study of 30,086 clinically suspected dengue cases tested for dengue NS1 antigen at a tertiary-care center in Andhra Pradesh, India, between January 2015 and December 2024. Demographic characteristics, urban-rural residence, temporal trends, clinical manifestations classified according to the WHO 2009 dengue classification, and dengue virus serotypes were analyzed. Associations were assessed using chi-square tests, and selected comparisons of clinical manifestation categories were performed using proportion-based analyses.

resultsAmong 30,086 suspected cases, 3,899 (13.0%) were NS1-positive. Positivity was higher among males (2,142; 13.6%), children aged ≤18 years (2,235; 20.7%), and rural residents (1,679; 14.7%). Dengue transmission showed consistent post-monsoon peaks from August to October, with a marked decline in 2020 during COVID-19-related movement restrictions. Severe dengue with hemorrhagic manifestations was the most common clinical category (1,734; 44.47%), followed by systemic manifestations (727; 18.64%), neurological involvement (690; 17.68%), gastrointestinal warning signs (307; 7.87%), and hepatic involvement (160; 4.10%). Neurological manifestations were significantly more frequent than gastrointestinal or hepatic involvement. Serotyping of 300 NS1-positive samples showed predominance of dengue virus serotype 3 (111; 37.0%), followed by serotype 2 (70; 23.3%), with mixed serotype infections (28; 9.3%).

conclusionThis decade-long analysis highlights pronounced seasonality, a substantial pediatric burden, rural predominance, evolving dengue virus serotype circulation, and a notable contribution of neurological manifestations to dengue morbidity in southern India. Strengthened pre-monsoon vector control, early syndromic recognition particularly of neurological involvement, and continued molecular serotype surveillance are essential to reduce dengue-related morbidity in endemic regions.

Indexed as

dengueepidemiologyneurological manifestationsns1 antigenseasonal trendsserotypingwho

Identifiers

PMID42255767
PMCPMC13235768

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