Modeling Climate-Sensitive Dengue Transmission in Balochistan Using District-Level Epidemiological Data

Modeling Climate-Sensitive Dengue Transmission in Balochistan Using District-Level Epidemiological Data

Authors

  • iqra batool MS Student, Lasbela University of Agriculture, Water and Marine Sciences, Pakistan
  • Abdul Rehman Student, Department of Entomology, Lasbela University of Agriculture, Water and Marine Sciences, Pakistan
  • Ali Nawaz MSc Student, Department of Plant Pathology, University of Faisalabad, Pakistan
  • Hamid Ibrahim Department of Entomology, Lasbela University of Agriculture, Water and Marine Sciences, Pakistan
  • Farhan Aman Student, Department of Entomology, Lasbela University of Agriculture, Water and Marine Sciences, Pakistan

DOI:

https://doi.org/10.67244/jai.bwo-researches.v4i3.a240

Keywords:

Dengue fever, Climate change, Balochistan, Aedes mosquitoes, Temperature, Rainfall, Seasonal variation, Vector-borne disease, Epidemiology, Public health, Disease surveillance, Pakistan

Abstract

Dengue fever has emerged as a major public health concern in Pakistan, particularly in Balochistan, where climatic variability and limited surveillance infrastructure have contributed to increasing disease burden. This study aimed to investigate the relationship between climatic factors and dengue transmission across multiple districts of Balochistan using a retrospective district-level epidemiological approach. Dengue surveillance data were collected from Public Health Laboratories, District Health Offices (DHOs), dengue surveillance units, and People’s Primary Healthcare Initiative (PPHI) centers, while climatic variables including temperature, rainfall, and humidity were obtained from national and global meteorological sources. The integrated datasets were analyzed using RStudio to assess seasonal trends, spatial distribution, and climate–dengue associations through descriptive statistics, correlation analysis, and negative binomial regression modeling. A total of 26,482 confirmed dengue cases were identified from 125,780 diagnostic tests conducted during 2024. The highest disease burden was observed in Turbat, Panjgur, Jhal Magsi, and Khuzdar districts. Dengue incidence showed a strong seasonal pattern, with cases increasing sharply during the summer and post-monsoon months and peaking in September. Regression analysis demonstrated that increasing temperature was significantly associated with higher dengue incidence, while rainfall exhibited delayed effects through enhanced vector breeding conditions. The combined influence of high temperature and high rainfall produced the greatest transmission intensity. The findings indicate that dengue transmission in Balochistan is highly climate-sensitive and increasingly shifting toward an endemic transmission pattern. Strengthening climate-informed surveillance systems, improving early warning mechanisms, enhancing vector control strategies, and promoting community awareness are essential for reducing the growing dengue burden in the region.

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Published

06-07-2026

How to Cite

iqra batool, Abdul Rehman, Ali Nawaz, Hamid Ibrahim, & Farhan Aman. (2026). Modeling Climate-Sensitive Dengue Transmission in Balochistan Using District-Level Epidemiological Data. International Journal of Agriculture Innovations and Cutting-Edge Research (HEC Recognised), 4(3). https://doi.org/10.67244/jai.bwo-researches.v4i3.a240
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