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meet the needs of interested parties such as other federal agencies, academia, and the private sector. •Supporting Emergency Response: Com- putational modeling can provide rapid assessments during emergencies involv- ing hazardous substances, helping guide response eorts and protect public health. ATSDR has used QSAR modeling to address various topics in public health toxicology, such as extrapolating across exposure durations (Demchuk et al., 2018; Prussia et al., 2020) and predicting the toxicity of breakdown products of military chemical agents (Ruiz et al., 2012). While computational modeling is a helpful tool for public health, it is not a substitute for traditional laboratory testing or epide- miological investigations. Table 1 lists some strengths and limitations of computational modeling. Nonetheless, computational mod- eling can complement traditional approaches by providing more ecient and cost-eective insights into potential health risks. Conclusion ATSDR uses computational modeling to assist state and local health departments, fed- eral agencies, academia, and public health professionals. Specifically, ATSDR: • Leverages these tools to guide the under- standing of the health eects of exposure to environmental chemicals • Improves on methods and reapplies them with new data • Encourages multidisciplinary collaborative fieldwork to standardize these methods The eorts will extend the program’s abil- ity to protect the public from environmental exposures. Corresponding Author: Patricia Ruiz, Chief, Simulation Science Section, Oce of Inno- vation and Analytics, Agency for Toxic Sub- stances and Disease Registry, 4770 Buford Highway NE, Chamblee, GA 30341. Email: pruiz@cdc.gov References Agency for Toxic Substances and Disease Reg- istry. (2023). ATSDR’s Simulation Science Section . https://www.atsdr.cdc.gov/simula tion-science/ Demchuk, E., Ball, S.L., Le, S.L., & Prussia, A.J. (2018). Concentration-time extrapo-
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November 2024 • Journal of Environmental Health
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