A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
Fuente:
arXiv
Saved in:
| Main Authors: | Giorgi, Emanuele, Fronterre, Claudio, Diggle, Peter J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)
by: Retegui, Garazi, et al.
Published: (2024)
A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026)
by: Gasser, Kamal, et al.
Published: (2026)
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025)
by: Aiello, Luca, et al.
Published: (2025)
tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
by: Thorson, James T., et al.
Published: (2024)
by: Thorson, James T., et al.
Published: (2024)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence
by: Kuh, Swen, et al.
Published: (2026)
by: Kuh, Swen, et al.
Published: (2026)
Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
The SPDE approach for spatio-temporal datasets with advection and diffusion
by: Clarotto, Lucia, et al.
Published: (2022)
by: Clarotto, Lucia, et al.
Published: (2022)
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., et al.
Published: (2025)
by: De Sanctis, Marco F., et al.
Published: (2025)
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)
by: Gelman, Andrew, et al.
Published: (2019)
Data Integration and spatio temporal statistics can quantify relative risk of medico-legal reforms: the example of police emergency mental health responses in Queensland (Australia)
by: Dorji, Nidup, et al.
Published: (2025)
by: Dorji, Nidup, et al.
Published: (2025)
Hypergraph adjusted plus-minus
by: Josephs, Nathaniel, et al.
Published: (2024)
by: Josephs, Nathaniel, et al.
Published: (2024)
A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)
by: Briz-Redón, Álvaro, et al.
Published: (2025)
Retrieved dropout imputation considering administrative study withdrawal
by: Liu, Rong, et al.
Published: (2024)
by: Liu, Rong, et al.
Published: (2024)
A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)
by: Pavani, Jessica, et al.
Published: (2024)
Spatio-temporal modeling for record-breaking temperature events in Spain
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
by: Pelto, Juho, et al.
Published: (2026)
by: Pelto, Juho, et al.
Published: (2026)
Accounting for variable detection functions in temporal abundance modeling via transfer learning
by: Collins, Kevin M., et al.
Published: (2026)
by: Collins, Kevin M., et al.
Published: (2026)
Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
by: Orsini, Léa, et al.
Published: (2025)
by: Orsini, Léa, et al.
Published: (2025)
Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
by: Silva, Rebecca B., et al.
Published: (2025)
by: Silva, Rebecca B., et al.
Published: (2025)
Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)
by: Maeda, Hirotada, et al.
Published: (2026)
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)
by: Janssen, Joseph, et al.
Published: (2023)
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)
Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
by: D'Angelo, Nicoletta, et al.
Published: (2024)
by: D'Angelo, Nicoletta, et al.
Published: (2024)
Re-evaluating the impact of hormone replacement therapy on heart disease using match-adaptive randomization inference
by: Pimentel, Samuel D., et al.
Published: (2024)
by: Pimentel, Samuel D., et al.
Published: (2024)
Evaluating the impact of instrumental variables in propensity score models using synthetic and negative control experiments
by: Tian, Yuxi, et al.
Published: (2024)
by: Tian, Yuxi, et al.
Published: (2024)
A varying-coefficient model for characterizing duration-driven heterogeneity in flood-related health impacts
by: Aggarwal, Sarika, et al.
Published: (2026)
by: Aggarwal, Sarika, et al.
Published: (2026)
Quantile mixed graphical models with an application to mass public shootings in the United States
by: Merlo, Luca, et al.
Published: (2023)
by: Merlo, Luca, et al.
Published: (2023)
A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Optimal designs for identifying effective doses in drug combination studies
by: Schürmeyer, Leonie, et al.
Published: (2025)
by: Schürmeyer, Leonie, et al.
Published: (2025)
Spatio-temporal Occupancy Models with INLA
by: Belmont, Jafet, et al.
Published: (2024)
by: Belmont, Jafet, et al.
Published: (2024)
Bayesian local clustering of age-period mortality surfaces across multiple countries
by: Romanò, Giovanni, et al.
Published: (2025)
by: Romanò, Giovanni, et al.
Published: (2025)
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
by: Schaller, Ophélie, et al.
Published: (2026)
by: Schaller, Ophélie, et al.
Published: (2026)
A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)
by: Christensen, Michael F., et al.
Published: (2022)
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
by: Wikle, Nathan B., et al.
Published: (2023)
by: Wikle, Nathan B., et al.
Published: (2023)
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
by: Mukherjee, Aritra, et al.
Published: (2026)
by: Mukherjee, Aritra, et al.
Published: (2026)
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)
by: Frigeri, Michela, et al.
Published: (2025)
Similar Items
-
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024) -
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024) -
A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026) -
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025) -
tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
by: Thorson, James T., et al.
Published: (2024)