Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities
Fuente:
arXiv
Saved in:
| Main Authors: | Lober, Luiza, Roster, Kirstin O., Rodrigues, Francisco A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural networks for dengue forecasting: a systematic review
by: Lober, Luiza, et al.
Published: (2021)
by: Lober, Luiza, et al.
Published: (2021)
Evaluating infectious disease forecasts with allocation scoring rules
by: Gerding, Aaron, et al.
Published: (2023)
by: Gerding, Aaron, et al.
Published: (2023)
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
Estimating parameters of continuous-time multi-chain hidden Markov models for infectious diseases
by: Bouzalmat, Ibrahim, et al.
Published: (2024)
by: Bouzalmat, Ibrahim, et al.
Published: (2024)
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
Gerrymandering and geographic polarization have reduced electoral competition
by: Jasny, Ethan, et al.
Published: (2025)
by: Jasny, Ethan, et al.
Published: (2025)
Geoinformation dependencies in geographic space and beyond
by: Wang, Jon, et al.
Published: (2025)
by: Wang, Jon, et al.
Published: (2025)
Mapping poverty at multiple geographical scales
by: De Nicolò, Silvia, et al.
Published: (2023)
by: De Nicolò, Silvia, et al.
Published: (2023)
Statistical enhanced learning for modeling and prediction tennis matches at Grand Slam tournaments
by: Buhamra, Nourah, et al.
Published: (2025)
by: Buhamra, Nourah, et al.
Published: (2025)
Blocks as geographic discontinuities: The effect of polling place assignment on voting
by: Tomkins, Sabina, et al.
Published: (2021)
by: Tomkins, Sabina, et al.
Published: (2021)
Identification of socioeconomic factors influencing global food price security using machine learning
by: Shan, Shan
Published: (2024)
by: Shan, Shan
Published: (2024)
Calibrating satellite maps with field data for improved predictions of forest biomass
by: May, Paul B., et al.
Published: (2024)
by: May, Paul B., et al.
Published: (2024)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
A spatiotemporal Bayesian hierarchical model of heat-related mortality in Catalonia, Spain (2012--2022): The role of environmental and socioeconomic modifiers
by: Solano, David, et al.
Published: (2025)
by: Solano, David, et al.
Published: (2025)
Flusion: Integrating multiple data sources for accurate influenza predictions
by: Ray, Evan L., et al.
Published: (2024)
by: Ray, Evan L., et al.
Published: (2024)
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
by: Kendall, Emmett B., et al.
Published: (2021)
by: Kendall, Emmett B., et al.
Published: (2021)
Integration of max-stable processes and Bayesian model averaging to predict extreme climatic events in multi-model ensembles
by: Shin, Yonggwan, et al.
Published: (2020)
by: Shin, Yonggwan, et al.
Published: (2020)
Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data
by: Kobayashi, Genya, et al.
Published: (2022)
by: Kobayashi, Genya, et al.
Published: (2022)
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data
by: Jin, Bora, et al.
Published: (2022)
by: Jin, Bora, et al.
Published: (2022)
The impact of electronic health records (EHR) data continuity on prediction model fairness and racial-ethnic disparities
by: Huang, Yu, et al.
Published: (2023)
by: Huang, Yu, et al.
Published: (2023)
Multi-pathogen situational assessment and forecasting of respiratory disease in Aotearoa New Zealand
by: Plank, M. J., et al.
Published: (2026)
by: Plank, M. J., et al.
Published: (2026)
Landscape context affects both capture probability and abundance of solitary bees in cities
by: Karen A. Dooley, et al.
Published: (2025)
by: Karen A. Dooley, et al.
Published: (2025)
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation
by: Golchian, Pegah, et al.
Published: (2026)
by: Golchian, Pegah, et al.
Published: (2026)
Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
by: Wang, Guanbo, et al.
Published: (2022)
by: Wang, Guanbo, et al.
Published: (2022)
Bug roads: Modeling the green space connectivity and pollinator habitat in a large city using open GIS data and tools
by: Matthew J. Lundquist, et al.
Published: (2025)
by: Matthew J. Lundquist, et al.
Published: (2025)
Dynamic map‐making technology and the application in geographic information science
by: Li Wanwu, et al.
Published: (2024)
by: Li Wanwu, et al.
Published: (2024)
Do biological control agents adapt to local pest genotypes? A multiyear test across geographic scales
by: Amanda Kyle Gibson, et al.
Published: (2024)
by: Amanda Kyle Gibson, et al.
Published: (2024)
Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Improving prediction models by incorporating external data with weights based on similarity
by: Behrens, Max, et al.
Published: (2024)
by: Behrens, Max, et al.
Published: (2024)
Mosqlimate: a platform to providing automatable access to data and forecasting models for arbovirus disease
by: Ganem, Fabiana, et al.
Published: (2024)
by: Ganem, Fabiana, et al.
Published: (2024)
A co-segmentation algorithm to predict emotional stress from passively sensed mHealth data
by: Kim, Younghoon, et al.
Published: (2025)
by: Kim, Younghoon, et al.
Published: (2025)
Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data
by: Zhang, Yecheng, et al.
Published: (2024)
by: Zhang, Yecheng, et al.
Published: (2024)
Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)
by: Mi, Junhui, et al.
Published: (2024)
Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)
by: Karmakar, Barin, et al.
Published: (2025)
Predicting temperatures in Brazilian states capitals via Machine Learning
by: da Silva, Sidney T., et al.
Published: (2025)
by: da Silva, Sidney T., et al.
Published: (2025)
Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
by: Yu, Tonghui, et al.
Published: (2026)
by: Yu, Tonghui, et al.
Published: (2026)
Zipf's law in the distribution of Brazilian firm size
by: Santos, Thiago Trafane Oliveira, et al.
Published: (2024)
by: Santos, Thiago Trafane Oliveira, et al.
Published: (2024)
Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection
by: Gao, Shan, et al.
Published: (2025)
by: Gao, Shan, et al.
Published: (2025)
Sales predictive analysis for improving supply chain drug sample
by: Téllez-Ballesteros, S. C., et al.
Published: (2025)
by: Téllez-Ballesteros, S. C., et al.
Published: (2025)
Integrating representative and non-representative survey data for efficient inference
by: Dyrkton, Nathaniel, et al.
Published: (2024)
by: Dyrkton, Nathaniel, et al.
Published: (2024)
Similar Items
-
Neural networks for dengue forecasting: a systematic review
by: Lober, Luiza, et al.
Published: (2021) -
Evaluating infectious disease forecasts with allocation scoring rules
by: Gerding, Aaron, et al.
Published: (2023) -
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
by: Douwes-Schultz, Dirk, et al.
Published: (2024) -
Estimating parameters of continuous-time multi-chain hidden Markov models for infectious diseases
by: Bouzalmat, Ibrahim, et al.
Published: (2024) -
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)