Multicriteria Decision Analysis as a Tool for Assessing Vector-Borne Diseases Risk: The Case of Crimean–Congo Hemorrhagic Fever in Türkiye

Understanding the risk factors for vector-borne diseases, such as Crimean-Congo hemorrhagic fever (CCHF), is critical for effective public health strategies. This study aims to identify and map the environmental and climatic determinants influencing the distribution of <i>Hyalomma marginatum</i>, the primary vector of CCHF, in Türkiye, using a Multi-Criteria Decision Analysis (MCDA) approach. A rapid literature review was conducted to identify environmental, climatic, and methodological criteria used in MCDA studies on vector-borne diseases. Semi-structured interviews with local experts from Armenia, Serbia, and Türkiye provided fine-scale data on vector presence. These criteria were analyzed using the Analytic Hierarchy Process (AHP) and combined with Weighted Linear Combination (WLC) within the MCDA framework to produce risk maps for <i>H. marginatum</i> occurrence in Türkiye. Key environmental and climatic factors influencing <i>H. marginatum</i> distribution, such as temperature, humidity, vegetation, and precipitation, were identified. The MCDA analysis highlighted high-risk regions in Türkiye with elevated suitability for the vector, correlating with areas of human CCHF cases. MCDA risk maps are valuable tools for public health officials, enabling targeted surveillance and interventions. By integrating diverse environmental and climatic variables, this study enhances the understanding of CCHF dynamics and supports the development of focused control strategies.

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Publication Details

Journal
Microorganisms
Published
2025-08-26
DOI
https://doi.org/10.3390/microorganisms13091987
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
0.00

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article

Multicriteria Decision Analysis as a Tool for Assessing Vector-Borne Diseases Risk: The Case of Crimean–Congo Hemorrhagic Fever in Türkiye

İlke Karayel-Hacıoğlu, Mitra B. Drakulović, Alessia Milano, Aykut Özkul et al.
Microorganisms
Viral Infections and Vectors
article

Multicriteria Decision Analysis as a Tool for Assessing Vector-Borne Diseases Risk: The Case of Crimean–Congo Hemorrhagic Fever in Türkiye

İlke Karayel-Hacıoğlu, Mitra B. Drakulović, Alessia Milano, Aykut Özkul, Claudia Robbiati, Sarah Houben, Ruben Danielyan, Guy Hendrickx, Cedric Marsboom, Silvia Declich, Maria Grazia Dente, Alan Juache
article en

Abstract

Understanding the risk factors for vector-borne diseases, such as Crimean-Congo hemorrhagic fever (CCHF), is critical for effective public health strategies. This study aims to identify and map the environmental and climatic determinants influencing the distribution of <i>Hyalomma marginatum</i>, the primary vector of CCHF, in Türkiye, using a Multi-Criteria Decision Analysis (MCDA) approach. A rapid literature review was conducted to identify environmental, climatic, and methodological criteria used in MCDA studies on vector-borne diseases. Semi-structured interviews with local experts from Armenia, Serbia, and Türkiye provided fine-scale data on vector presence. These criteria were analyzed using the Analytic Hierarchy Process (AHP) and combined with Weighted Linear Combination (WLC) within the MCDA framework to produce risk maps for <i>H. marginatum</i> occurrence in Türkiye. Key environmental and climatic factors influencing <i>H. marginatum</i> distribution, such as temperature, humidity, vegetation, and precipitation, were identified. The MCDA analysis highlighted high-risk regions in Türkiye with elevated suitability for the vector, correlating with areas of human CCHF cases. MCDA risk maps are valuable tools for public health officials, enabling targeted surveillance and interventions. By integrating diverse environmental and climatic variables, this study enhances the understanding of CCHF dynamics and supports the development of focused control strategies.

MicroorganismsVol. 13(9)
Université Libre de Bruxelles (BE), Ankara University (TR), Istituto Superiore di Sanità (IT), Institute of Public Health of Serbia (RS), Avia-GIS (Belgium) (BE), Yerevan State Medical University (AM), Sapienza University of Rome (IT)
European Commission
Openalex Percentile: Top 73%
Viral Infections and Vectors
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