Exposure to unconventional oil and gas development and all-cause mortality in Medicare beneficiaries

The Distribution of US Oil and Natural Gas Wells by Production Rate (US Energy Information Administration, 2020); https://www.eia.gov/petroleum/wells/

Czolowski, E. D., Santoro, R. L., Srebotnjak, T. & Shonkoff, S. B. C. Toward consistent methodology to quantify populations in proximity to oil and gas development: a national spatial analysis and review. Environ. Health Perspect. 125, 086004 (2017).

Article 

Google Scholar 

Hydraulic Fracturing for Oil and Gas: Impacts from the Hydraulic Fracturing Water Cycle on Drinking Water Resources in the United States (Final Report) (United States Environmental Protection Agency, 2016); https://cfpub.epa.gov/ncea/hfstudy/recordisplay.cfm?deid=332990

Health Effects Institute-Energy Research Committee Human Exposure to Unconventional Oil and Gas Development: A Literature Survey for Research Planning (Draft for Public Comment) (HEI-Energy, 2019)

Adgate, J. L., Goldstein, B. D. & McKenzie, L. M. Potential public health hazards, exposures and health effects from unconventional natural gas development. Environ. Sci. Technol. 48, 8307–8320 (2014).

Article 

Google Scholar 

Garcia-Gonzales, D. A., Shonkoff, S. B. C., Hays, J. & Jerrett, M. Hazardous air pollutants associated with upstream oil and natural gas development: a critical synthesis of current peer-reviewed literature. Annu. Rev. Public Health 40, 283–304 (2019).

Article 

Google Scholar 

Shonkoff, S. B. C., Hays, J. & Finkel, M. L. Environmental public health dimensions of shale and tight gas development. Environ. Health Perspect. 122, 787–795 (2014).

Article 

Google Scholar 

Allen, D. T. Atmospheric emissions and air quality impacts from natural gas production and use. Annu. Rev. Chem. Biomol. Eng. 5, 55–75 (2014).

Article 

Google Scholar 

Cheadle, L. C. et al. Surface ozone in the Colorado northern Front Range and the influence of oil and gas development during FRAPPE/DISCOVER-AQ in summer 2014. Elementa 5, 61 (2017).

Google Scholar 

Casey, J. A. et al. Predictors of indoor radon concentrations in Pennsylvania, 1989–2013. Environ. Health Perspect. 123, 1130–1137 (2015).

Article 

Google Scholar 

Li, L. et al. Unconventional oil and gas development and ambient particle radioactivity. Nat. Commun. 11, 5002 (2020).

Article 

Google Scholar 

Hill, E. & Ma, L. Shale gas development and drinking water quality. AEA Pap. Proc. 107, 522–525 (2017).

Google Scholar 

Olmstead, S. M., Muehlenbachs, L. A., Shih, J. S., Chu, Z. & Krupnick, A. J. Shale gas development impacts on surface water quality in Pennsylvania. Proc. Natl Acad. Sci. USA 110, 4962–4967 (2013).

Article 

Google Scholar 

Blair, B. D., Brindley, S., Dinkeloo, E., McKenzie, L. M. & Adgate, J. L. Residential noise from nearby oil and gas well construction and drilling. J. Expo. Sci. Environ. Epidemiol. 28, 538–547 (2018).

Article 

Google Scholar 

Franklin, M., Chau, K., Cushing, L. J. & Johnston, J. E. Characterizing flaring from unconventional oil and gas operations in south Texas using satellite observations. Environ. Sci. Technol. 53, 2220–2228 (2019).

Article 

Google Scholar 

Casey, J. A. et al. Unconventional natural gas development and birth outcomes in Pennsylvania, USA. Epidemiology 27, 163–172 (2016).

Article 

Google Scholar 

Hill, E. L. Shale gas development and infant health: evidence from Pennsylvania. J. Health Econ. 61, 134–150 (2018).

Article 

Google Scholar 

Apergis, N., Hayat, T. & Saeed, T. Fracking and infant mortality: fresh evidence from Oklahoma. Environ. Sci. Pollut. Res. Int. 26, 32360–32367 (2019).

Article 

Google Scholar 

Currie, J., Greenstone, M. & Meckel, K. Hydraulic fracturing and infant health: new evidence from Pennsylvania. Sci. Adv. 3, e1603021 (2017).

Article 

Google Scholar 

Rasmussen, S. G. et al. Association between unconventional natural gas development in the Marcellus shale and asthma exacerbations. JAMA Intern. Med. 176, 1334–1343 (2016).

Article 

Google Scholar 

McKenzie, L. M. et al. Relationships between indicators of cardiovascular disease and intensity of oil and natural gas activity in Northeastern Colorado. Environ. Res. 170, 56–64 (2019).

Article 

Google Scholar 

Elliott, E. G. et al. Unconventional oil and gas development and risk of childhood leukemia: assessing the evidence. Sci. Total Environ. 576, 138–147 (2017).

Article 

Google Scholar 

Koehler, K. et al. Exposure assessment using secondary data sources in unconventional natural gas development and health studies. Environ. Sci. Technol. 52, 6061–6069 (2018).

Article 

Google Scholar 

Brown, D. R., Greiner, L. H., Weinberger, B. I., Walleigh, L. & Glaser, D. Assessing exposure to unconventional natural gas development: using an air pollution dispersal screening model to predict new-onset respiratory symptoms. J. Environ. Sci. Health A 54, 1357–1363 (2019).

Article 

Google Scholar 

VanderWeele, T. J. & Ding, P. Sensitivity analysis in observational research: introducing the E-value. Ann. Intern. Med. 167, 268–274 (2017).

Article 

Google Scholar 

Mathur, M. B., Ding, P., Riddell, C. A. & VanderWeele, T. J. Web site and R package for computing E-values. Epidemiology 29, e45–e47 (2018).

Article 

Google Scholar 

Giles, J. A. & Giles, D. E. A. Pre‐test estimation and testing in econometrics: recent developments. J. Econ. Surv. 7, 145–197 (1993).

Article 

Google Scholar 

Health Effects Institute-Energy Research Committee Potential Human Health Effects Associated With Unconventional Oil and Gas Development: A Systematic Review of the Epidemiology Literature (HEI-Energy, 2019).

Wing, C., Simon, K. & Bello-Gomez, R. A. Designing difference in difference studies: best practices for public health policy research. Annu. Rev. Public Health 39, 453–469 (2018).

Article 

Google Scholar 

Drilling Productivity Report (US Energy Information Administration, 2019); https://www.eia.gov/petroleum/drilling/

Research Data Assistance Center Master Beneficiary Summary File (MBSF) Base (ResDAC, 2018); https://www.resdac.org/cms-data/files/mbsf-base

Enverus Drillinginfo Direct Access Application Programming Interface. https://app.drillinginfo.com/direct/ (2019).

Doxsey-Whitfield, E. et al. Taking advantage of the improved availability of census data: a first look at the Gridded Population of the World, version 4. Pap. Appl. Geogr. 1, 226–234 (2015).

Article 

Google Scholar 

Mesinger, F. et al. North American Regional Reanalysis. Bull. Am. Meteorol. Soc. 87, 343–360 (2006).

Article 

Google Scholar 

R Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2017).

Therneau, T. M. A Package for Survival Analysis in S (XXXX, 2019); https://cran.r-project.org/package=survival

Gaure, S. lfe: linear group fixed effects. R. J. 5, 104–117 (2013).

Article 

Google Scholar 

Andersen, P. K. & Gill, R. D. Cox’s regression model for counting processes: a large sample study. Ann. Stat. 10, 1100–1120 (1982).

MathSciNet 
Article 

Google Scholar 

Lee, E. W., Wei, L. J., Amato, D. A. & Leurgans, S. in Survival Analysis: State of the Art (eds Klein, J. P. & Goel P. K.) 237–247 (Springer, 1992); https://doi.org/10.1007/978-94-015-7983-4_14

Behavioral Risk Factor Surveillance System BRFSS 2013 Survey Data and Documentation (Centers for Disease Control and Prevention, 2013); https://www.cdc.gov/brfss/annual_data/annual_2013.html

Stringfellow, W. T., Camarillo, M. K., Domen, J. K. & Shonkoff, S. B. C. Comparison of chemical-use between hydraulic fracturing, acidizing, and routine oil and gas development. PLoS ONE 12, e0175344 (2017).

Article 

Google Scholar 

Di, Q. et al. Assessing PM_2.5 exposures with high spatiotemporal resolution across the continental United States. Environ. Sci. Technol. 50, 4712–4721 (2016).

Article 

Google Scholar 

Earth Resources Observation and Science (EROS) Center The National Land Cover Database (United States Geological Survey, 2012); https://www.usgs.gov/centers/eros/science/national-land-cover-database