Related Experiment Video
Updated: Jul 12, 2025
08:42
Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
Published on: September 3, 2021
3.1K
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
Yury E García1, Shu Wei Chou-Chen2, Luis A Barboza3
1Department of Public Health Sciences, University of California Davis, CA, United States of America.
PLOS Global Public Health
|October 19, 2023
Summary
Climate patterns like the Oceanic Niño Index influence multiannual dengue outbreaks in Costa Rica, preceding cases by nine months. Local environmental factors also impact annual dengue frequency, especially in specific regions.
Area of Science:
- Environmental Science
- Epidemiology
- Climate Science
Background:
- Dengue transmission is a global public health challenge, influenced by climate and environmental variability.
- Costa Rica has experienced endemic dengue since 1993, with diverse microclimates impacting disease spread.
Purpose of the Study:
- To analyze the relationship between climate, local environmental factors, and dengue occurrences in Costa Rica.
- To identify spatial and temporal dynamics of dengue transmission influenced by environmental drivers.
Main Methods:
- Time-series analysis using wavelet coherence and clustering analysis.
- Investigated correlations between climate indices (Oceanic Niño Index, Tropical North Atlantic Index) and dengue frequency.
- Assessed the influence of local environmental indices on annual dengue frequency.
Main Results:
- Multiannual dengue frequency (3-year cycle) correlated with climate indices, particularly in Pacific and Central regions.
- Climate indices led dengue cases by approximately nine months.
- Annual dengue frequency correlated with local environmental factors in specific regions, leading by less than three months.
- Clustering analysis revealed non-contiguous groups of cantons with similar climate-driven dengue patterns.
Conclusions:
- Climate variability significantly influences dengue dynamics across Costa Rica, irrespective of geographic proximity.
- Local environmental factors play a role in annual dengue frequency, with a shorter lead time.
- Findings underscore the importance of integrated climate and environmental surveillance for dengue control.
Related Concept Videos
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
52
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
52
01:17Precipitation and Co-precipitation
1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.8K
01:12Precipitation Processes
462
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
462
01:11Variability: Analysis
144
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
144
01:25Statistical Methods for Analyzing Epidemiological Data
385
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
385
01:26Patterns of Fever
2.6K
Before understanding the types and patterns of fever, it is essential to know its phases.
2.6K