# Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/spatio-temporal-modeling-of-particulate-air-pollution-in-the-conterminous-united/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jeff D. Yanosky,Christopher J. Paciorek,Francine Laden,Jaime E. Hart,Robin Puett,Duanping Liao,Helen Suh |
| Citations | 225 |
| DOI | 10.1186/1476-069x-13-63 |
| Fields | Environmental Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ehjournal.biomedcentral.com/counter/pdf/10.1186/1476-069X-13-63 |
| OpenAlex ID | https://openalex.org/W2151274033 |
| PMID | 25097007 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Jeff D. Yanosky](https://scholariq.org/researchers/jeff-d-yanosky/)

## Paper journal

- [Environmental Health](https://scholariq.org/journals/environmental-health/)

## Paper primary topic

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)

## Paper topics

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.