Spatial and Spatio-Temporal Models for Modeling Epidemiological Data with Excess Zeros
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Summary
This paper provides a review of methods for modeling data with excess zeros with focus on count data, namely hurdle and zero-inflated models, and discusses extensions of these models to data with spatial and spatio-temporal dependence structures.
- Type
- article
- Published
- 2015-08-28
- Cited by
- 75
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W26343696
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10766620
Keywords
Political science, Business
References
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- Bayesian measures of model complexity and fit
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- Modeling Count Data
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- Variability in results from negative binomial models for Lyme disease measured at different spatial scales.
- Spatial Epidemiology: Current Approaches and Future Challenges
- Predicting infectious disease outbreak risk via migratory waterfowl vectors
- Specification and testing of some modified count data models
- Of ticks, mice and men: understanding the dual-host lifestyle of Lyme disease spirochaetes
- Spatio-temporal modeling of sparse geostatistical malaria sporozoite rate data using a zero inflated binomial model.
- Hierarchical Modeling and Analysis for Spatial Data
- Hierarchical Modeling and Analysis for Spatial Data
- Semiparametric bivariate zero‐inflated Poisson models with application to studies of abundance for multiple species
- A Bayesian approach to estimate the biomass of anchovies off the coast of Perú
- Zero-inflated Poisson regression, with an application to defects in manufacturing
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
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- Assessment of the national schistosomiasis control program in a typical region along the Yangtze River, China.
- Modelling of Emergency Vehicle Demand using Poisson Hurdle Regression Model
- Low Impact of Avian Pox on Captive-Bred Houbara Bustard Breeding Performance
- Spatial and Spatiotemporal Modeling of Epidemiological Data
- Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry.
- Spatio-temporal distributions of piscivorous birds in a subarctic sound during the nonbreeding season
- Spatial model for risk prediction and sub-national prioritization to aid poliovirus eradication in Pakistan
- Time series analysis based on two-part models for excessive zero count data to detect farm-level outbreaks of swine echinococcosis during meat inspections.
- A traffic prediction algorithm based on Bayesian spatio-temporal model in cellular network
- Epidemiological inference and surveillance with high resolution medical claims data: the case of influenza
- Heterogeneous exposure and hotspots for malaria vectors at three study sites in Uganda
- Some findings on zero‐inflated and hurdle poisson models for disease mapping
- Applying the zero-inflated Poisson model with random effects to detect abnormal rises in school absenteeism indicating infectious diseases outbreak
- Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models
- Relationship between Neighborhood Characteristics and Demand for Emergency Health Service Vehicles: A Poisson Hurdle Regression Modeling Approach
- Urban crime prediction based on spatio-temporal Bayesian model
- Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
- A mixed application of an objective synoptic classification and spatial regression models for deriving winter precipitation regimes in the Eastern Pyrenees
- Targeting at risk households in Bangladesh exposed to arsenic contamination: a spatial analysis
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