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Cholera Outbreaks and Treatment Management: An Optimal Control Study | OMICS International| Abstract
ISSN: 2167-7719

Air & Water Borne Diseases
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  • Editorial   
  • Air Water Borne Dis 12: 203,
  • DOI: 10.4172/2167-7719.1000203

Cholera Outbreaks and Treatment Management: An Optimal Control Study

Rossi Durrleman*
Department of Infectious Disease, Necker-Enfants malades University Hospital, France
*Corresponding Author : Rossi Durrleman, Department of Infectious Disease, Necker-Enfants malades University Hospital, France, Email: rossidurrleman232@gmail.com

Received Date: Oct 03, 2023 / Published Date: Oct 30, 2023

Abstract

This comprehensive review delves into the multifaceted realm of optimal control theory as applied to the management of cholera transmission, a persistent global public health challenge. Cholera, driven by the Vibrio cholera bacterium and closely linked to inadequate sanitation and contaminated water sources, disproportionately affects impoverished communities. Mathematical models, including compartmental models, have been instrumental in understanding cholera dynamics. In recent years, optimal control methods have gained prominence, offering a systematic approach to allocate resources and interventions effectively, striking a balance between transmission control and cost minimization. This review explores the application of optimal control strategies, from resource allocation and vaccination campaigns to sanitation and treatment interventions. It also addresses challenges and future directions, emphasizing the importance of data precision and real-time monitoring. The review underscores the significance of mathematical models and optimal control in informing public health policies aimed at mitigating cholera transmission and ultimately improving global health outcomes.

Citation: Durrleman R (2023) Cholera Outbreaks and Treatment Management: An Optimal Control Study. Air Water Borne Dis 12: 203. Doi: 10.4172/2167-7719.1000203

Copyright: © 2023 Durrleman R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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