Effect of active case finding on dengue control: Implications from a mathematical model
Indrajit Ghosh, Pankaj Kumar Tiwari, Joydev Chattopadhyay

TL;DR
This study uses a novel mathematical model to evaluate how active case finding (ACF) impacts dengue transmission control in India, emphasizing the importance of targeting both symptomatic and asymptomatic individuals for effective disease reduction.
Contribution
It is the first to incorporate ACF into a dengue transmission model, providing insights into its potential effectiveness alongside traditional control measures.
Findings
ACF of symptomatic individuals significantly reduces dengue cases.
Targeting asymptomatic individuals also crucial for disease control.
Reducing mosquito biting rate and increasing hospitalization aid in lowering prevalence.
Abstract
Dengue control in India is a challenging task due to complex healthcare settings. In yesteryears, an amplification of dengue infections in India posed the need for introspection of existing dengue control policies. Prior understanding of the impacts of control interventions is necessary for their future implementation. In this paper, we propose and analyze a compartmental model of dengue to assess the impact of active case finding (ACF) on dengue disease transmission. Currently, primary prevention of dengue is possible only with vector control and personal protection from the bites of infected mosquitoes. Although a few experimental studies are performed to assess ACF in dengue disease, but this is the first attempt to represent and study the dynamics of disease using ACF as a control strategy. Local and global dynamics of the system are studied. We use sensitivity analysis to see the…
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