Spatial and spatio-temporal epidemiology · 2025
Spatiotemporal analysis of dengue fever in tourist destinations using a Time-Lagged DCCAC approach.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
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Oliveira Jéssica B, Murari Thiago B, Pereira Hernane B de B, Moret Marcelo A, Cardoso Claudia Andrea L
Аннотация
BACKGROUND: Dengue is one of the most important neglected tropical diseases in the world and is spread rapidly through human movement, especially throughout intermunicipal, national and international routes. The Pantanal is the largest wetland in the world and is a UNESCO World Heritage Site spanning the states of Mato Grosso do Sul and Mato Grosso. In addition, the Pantanal of Mato Grosso do Sul is an important tourist hub.
METHODS: This study addresses the spread of dengue in different regions, focusing on the Pantanal of Mato Grosso do Sul. The objective of our study is to evaluate the spread of dengue, using the time-lagged Detrended Cross-Correlation Analysis Coefficient (DCCAC) method to provide data that will help in discussions of protocols to combat dengue in the region.
RESULTS: Through the time-lagged DCCAC, it was possible to identify similar behaviors in the lagged DCCAC comovements in different regions, including Bolivia and Paraguay and states in Brazil, such as Mato Grosso do Sul, Mato Grosso and others.
CONCLUSION: This study suggests the importance of cooperation between these regions to fight the disease in an integrated way and share information about the behavior of dengue cases in each area. Implementing a shared system across a network formed by these regions can effectively combat dengue and allow the regions to work together to identify and address the factors that affect the behavior of dengue cases.
METHODS: This study addresses the spread of dengue in different regions, focusing on the Pantanal of Mato Grosso do Sul. The objective of our study is to evaluate the spread of dengue, using the time-lagged Detrended Cross-Correlation Analysis Coefficient (DCCAC) method to provide data that will help in discussions of protocols to combat dengue in the region.
RESULTS: Through the time-lagged DCCAC, it was possible to identify similar behaviors in the lagged DCCAC comovements in different regions, including Bolivia and Paraguay and states in Brazil, such as Mato Grosso do Sul, Mato Grosso and others.
CONCLUSION: This study suggests the importance of cooperation between these regions to fight the disease in an integrated way and share information about the behavior of dengue cases in each area. Implementing a shared system across a network formed by these regions can effectively combat dengue and allow the regions to work together to identify and address the factors that affect the behavior of dengue cases.