Reconstructed weekly MODIS-Terra daytime LST.

Reconstructed weekly MODIS-Terra daytime LST.

<p>The maps baselayer are village boundaries obtained from <a href="https://data.humdata.org/dataset/cod-ab-phl" target="_blank">https://data.humdata.org/dataset/cod-ab-phl</a>. The license terms can be found here <a href="https://data.humdata.org/faqs/t...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Micanaldo Ernesto Francisco (18723706) (author)
مؤلفون آخرون:	Thaddeus M. Carvajal (8796821) (author), Kozo Watanabe (544664) (author)
منشور في:	2024
الموضوعات:	Biochemistry Molecular Biology Biotechnology Ecology Cancer Infectious Diseases Plant Biology Virology Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified support vector machines extreme gradient boosting conditional inference forest artificial neural networks impending dengue outbreaks spatiotemporal resolution differs fine spatiotemporal scales predicted dengue incidence dengue incidence may dengue incidence due generalized additive models dengue incidence prediction spatiotemporal dengue prediction quantitative pattern extraction six spatiotemporal resolutions six ml algorithms novel hybrid approach frequent zero values stage quantitative prediction dengue incidence data inflated models cannot enhance prediction accuracy qualitative dengue variables dengue incidence spatiotemporal resolutions hybrid approach quantitative prediction qualitative models prediction accuracy higher resolutions environmental variables binary variables qualitative predictions combining qualitative xlink "> study aimed rare phenomena random forests predicting zero model validation inflated data data distribution control strategies alternative solution
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مواد مشابهة

Accuracy of the hybrid model.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Spearman’s correlation analysis between quantitative and qualitative model accuracy (R<sup>2</sup> and AUC) with dengue cases, dengue incidence, frequency of dengue cases, village area, village population, and proportion of land-use types.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Performance of the qualitative models with the week-village dataset.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Performances of the quantitative predictive models under six combinations of spatiotemporal resolutions.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Accuracy of the temporal models at each village.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Model accuracy comparison summary.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Conceptual framework for the implementation of the hybrid model.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Spatiotemporal Dengue Incidence Heatmaps.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Temporal models accuracy changes with aggregating villages.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Flow chart for data acquisition and processing.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Distribution of Dengue Incidence across different spatiotemporal resolutions.
حسب: Micanaldo Ernesto Francisco (18723706)
منشور في: (2024)

Summary of model performance metrics and features for dengue incidence prediction three months in advance for the baseline model, the ensemble model, and the five individual models included in the ensemble, aggregated across the Mekong Delta Region districts, 2012-2016. Lower CRPS indicates better accuracy, while bias closer to zero suggests closer alignment with observed values, and lower diffuseness reflects more precise predictions. Weight is the weight each of the five individual models contributed to the ensemble.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Time-series plot of predicted dengue cases from the top five individual models compared to observed cases (2017-2022).
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Performance metrics for the baseline (Reference) model, the ensemble model, and the five individual models included in the ensemble across forecast horizons of 1 to 3 months, Mekong Delta Region, during the 2017-2022 out-of-sample evaluation period.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Brier score averaged by month across the three time horizons using the ensemble model with five different threshold definitions, aggregated across the Mekong Delta Region districts, 2012-2016.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Observed vs. forecasted dengue cases (mean and 95% predictive interval) using the ensemble model, by time horizon, aggregated across the Mekong Delta Region districts, 2012-2016.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Comparison of performance metrics for the baseline (reference model), the ensemble model, and the five individual models included in the ensemble across forecast horizons of 1 to 3 months, aggregated across the Mekong Delta Region districts, 2012-2016.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Time series of dengue cases from 2004 to 2022, highlighting the initial training period (red), the time-series cross validation (TSCV) phase (blue), and the evaluation period (grey).
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Table. Tested models.
حسب: Wala Draidi Areed (16806677)
منشور في: (2025)

Difference in number of Meta users registered during daytime vs nighttime hours.
حسب: Olivier Telle (279999)
منشور في: (2025)

Boxplots of daytime temperature across neighborhoods between the 45th epidemiological week of 2015 and 16th week of 2018, according to administrative region, city of Natal, RN. The solid lines represent the moving average of daytime temperatures in a temporal window of four epidemiological weeks.
حسب: Mariane Branco Alves (21213504)
منشور في: (2025)

Model-projected changes in the daily dengue cases for six cities under the SSP126, SSP370, and SSP585 for the years 2030, 2060, and 2090.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Model-projected changes in the average daily dengue cases from July to December for the years 2030, 2060, and 2090 under the SSP126, SSP370, and SSP585 across six cities.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Simulated variation curves of the daily <i>Aedes aegypti</i> abundance per square meter in six cities under SSP126, SSP370, and SSP585 for the years 2030, 2060, and 2090.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Modeled-projected changes in the average daily number of <i>Aedes aegypti</i> abundance from July to December per square meter in six cities under SSP126, SSP370, and SSP585 for the years 2030, 2060, and 2090.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Changes in <i>Aedes aegypti</i> LCC in six cities under different SSPs from 2030 to 2100.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Trend of <i>Aedes aegypti</i> LCC values in various cities in China under the SSP126, SSP370, and SSP585 for the 2030s, 2060s, and 2090s.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Flowchart of <i>Aedes aegypti</i> phenological model.
حسب: Ziyue Zhou (10139696)
منشور في: (2025)

Coefficient of the multivariable negative binomial regression per period using the log of population as offset and P-values from the likelihood ratio test. * = P value below 0.05 ** = P value below 0.1.
حسب: Olivier Telle (279999)
منشور في: (2025)

Result of the multi-variable negative binomial regression considering only the significant variables from the univariable models and using the log of population as offset. P-Values = likelihood ratio test. * = p-value below 0.05.
حسب: Olivier Telle (279999)
منشور في: (2025)

Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.
حسب: Olivier Telle (279999)
منشور في: (2025)

Incidence of dengue cases registered during the different years per SE category (per 1,000 inh).
حسب: Olivier Telle (279999)
منشور في: (2025)

Built-up typology of Vientiane and mean percentage of household asset, of international and national migrants in Vientiane and points of interest (POIs) and ratio of Meta users registered at day.
حسب: Olivier Telle (279999)
منشور في: (2025)

Dengue incidence rate detected per village (2012-2018) Map Data: Institut Pasteur du Laos.
حسب: Olivier Telle (279999)
منشور في: (2025)

Land surface temperature detected trough Landsat 8.
حسب: Olivier Telle (279999)
منشور في: (2025)

Typology of villages as identified from the GHSL dataset.
حسب: Olivier Telle (279999)
منشور في: (2025)

Built-up areas of Vientiane constructed in 1990, 2000 and 2014 (built
حسب: Olivier Telle (279999)
منشور في: (2025)

Summary measures associated with the posterior distribution of parameters comprising the predictive structure of the selected Hurdle Logit-Poisson model.
حسب: Mariane Branco Alves (21213504)
منشور في: (2025)

WAIC and LPML for models’ comparison.
حسب: Mariane Branco Alves (21213504)
منشور في: (2025)

Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
حسب: Mariane Branco Alves (21213504)
منشور في: (2025)

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