Publications by authors named "Shu-Wei Chou-Chen"
Respiratory diseases represent one of the most significant economic burdens on healthcare systems worldwide. The variation in the increasing number of cases depends greatly on climatic seasonal effects, socioeconomic factors, and pollution. Therefore, understanding these variations and obtaining precise forecasts allows health authorities to make correct decisions regarding the allocation of limited economic and human resources.
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- The study investigates dengue transmission in Costa Rica, focusing on how climate and local environmental factors impact its patterns, particularly using wavelet coherence and clustering analysis.
- Results show a strong correlation between multiannual dengue occurrences and climate indices, especially in coastal cantons, with climate factors potentially influencing dengue cases about nine months in advance.
- Local environmental indices are linked to annual dengue frequencies, with consistent correlations observed in certain regions, underscoring the need for incorporating these factors into dengue surveillance and control strategies.
Dengue fever is a vector-borne disease affecting millions yearly, mostly in tropical and subtropical countries. Driven mainly by social and environmental factors, dengue incidence and geographical expansion have increased in recent decades. Therefore, understanding how climate variables drive dengue outbreaks is challenging and a problem of interest for decision-makers that could aid in improving surveillance and resource allocation.
View Article and Find Full Text PDFObjective: To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases.
Methods: Three articles with mathematical and statistical analysis on vector-borne diseases in Costa Rica were selected and reviewed. These papers show the value and relevance of using different quantitative methods to understand disease dynamics and support decision-making.