Forecasting dengue incidence in Dakshina Kannada, Karnataka, India using time series analysis

Dengue transmission in Dakshina Kannada is significantly influenced by climatic factors such as temperature, rainfall, and humidity. The ARIMA-based predictive modeling forecasted increased dengue cases in the coming years. These findings show the need for targeted public health interventions in identified hotspot areas, along with continuous climate-based surveillance to support timely and effective dengue control measures.

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Publication Details

Journal
Journal of Vector Borne Diseases
Published
2025-06-09
DOI
https://doi.org/10.4103/jvbd.jvbd_29_25
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Forecasting dengue incidence in Dakshina Kannada, Karnataka, India using time series analysis

Mackwin Kenwood Dmello, Neevan Dsouza, Suresha Kharvi, Navya Mohana
Journal of Vector Borne Diseases
Mosquito-borne diseases and control
article

Forecasting dengue incidence in Dakshina Kannada, Karnataka, India using time series analysis

Mackwin Kenwood Dmello, Neevan Dsouza, Suresha Kharvi, Navya Mohana
article en

Abstract

Dengue transmission in Dakshina Kannada is significantly influenced by climatic factors such as temperature, rainfall, and humidity. The ARIMA-based predictive modeling forecasted increased dengue cases in the coming years. These findings show the need for targeted public health interventions in identified hotspot areas, along with continuous climate-based surveillance to support timely and effective dengue control measures.

Journal of Vector Borne DiseasesVol. 63(1)
Nitte University (IN), K S Hegde Medical Academy (IN)
Climate action
Openalex Percentile: Top 82%
Mosquito-borne diseases and control
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Forecasting dengue incidence in Dakshina Kannada, Karnataka, India using time series analysis — Mackwin Kenwood Dmello, Neevan Dsouza, et al. · Journal of Vector Borne Diseases (2025) | TGRS Research Map | TGRS