Owing to the complex nature of vector-borne diseases (VBDs), whereby monitoring of human case patients does not suffice, public health authorities experience challenges in surveillance and control of VBDs. Knowledge on the presence and distribution of vectors and the pathogens that they transmit is vital to the risk assessment process to permit effective early warning, surveillance, and control of VBDs. Upon accepting this reality, public health authorities face an ever-increasing range of possible surveillance targets and an associated prioritization process. Here, we propose a comprehensive approach that integrates three surveillance strategies: population-based surveillance, disease-based surveillance, and context-based surveillance for EU member states to tailor the best surveillance strategy for control of VBDs in their geographic region. By classifying the surveillance structure into five different contexts, we hope to provide guidance in optimizing surveillance efforts. Contextual surveillance strategies for VBDs entail combining organization and data collection approaches that result in disease intelligence rather than a preset static structure.
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http://dx.doi.org/10.3389/fpubh.2014.00280 | DOI Listing |
Epidemiol Infect
January 2025
Department of Health Security, Infectious Diseases Control and Vaccination Unit, Finnish Institute for Health and Welfare (THL)Helsinki, Finland.
With climate change, the geographic distribution of some VBDs has expanded, highlighting the need for adaptation, and managing the risks associated with emergence in new areas. We conducted a questionnaire survey on the knowledge, attitudes, and practices (KAP) about vector-borne diseases (VBDs) among sample of Finnish residents. The questions were scored and the level of KAP was determined based on scoring as poor, fair, good, or excellent.
View Article and Find Full Text PDFPLoS Negl Trop Dis
December 2024
Section of Infectious Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Hematophagous arthropods, including mosquitoes, ticks, and flies, are responsible for the transmission of several pathogens to vertebrates on whom they blood feed. The diseases caused by these pathogens, collectively known as vector-borne diseases (VBDs), threaten the health of humans and animals. In general, attempts to develop vaccines for pathogens transmitted by arthropods have met with moderate success, with few vaccine candidates currently developed.
View Article and Find Full Text PDFJ Vector Borne Dis
December 2024
Department of Microbiology, Sri Venkateshwaraa Medical College Hospital and Research Centre (SVMCHRC), Ariyur, Puducherry 605102, India.
Trop Biomed
September 2024
Department of Medical and Clinical Microbiology, Cyprus International University, Nicosia, Northern Cyprus.
Vector-borne diseases have been a growing health concern in recent decades due to the global warming, globalization, and increased international travel. With the typical Mediterranean climate and geographical features, Cyprus provides favorable conditions for the growth and survival of arthropod species. For the purpose of this review article, the terms "Cyprus", "vectors" and "vectorborne diseases" were searched in the National Library of Medicine ('PubMed') and the Google Scholar databases.
View Article and Find Full Text PDFPest Manag Sci
February 2025
Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China.
Vector-borne diseases (VBDs) represent a critical global public health concern, with approximately 80% of the world's population at risk of one or more VBD. Manual disease vector identification is time-consuming and expert-dependent, hindering disease control efforts. Deep learning (DL), widely used in image, text, and audio tasks, offers automation potential for disease vector identification.
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