References
- 1. Rother, F. C., Rebello, W. F., Healy, M. J. F., Silva, M. M., Cabral, P. A. M., Vital, H. C., & Andrade, E. R. (2016). Radiological risk assessment by convergence methodology model in RDD scenarios. Risk Anal., 36(11), 2039–2046.10.1111/risa.12557
- 2. Andrade, C. P., Souza, C. J., Camerini, E. S. N., Alves, I. S., Vital, H. C., Healy, M. J. F., & De Andrade, E. R. (2018). Support to triage and public risk perception considering long-term response to a Cs-137 radiological dispersive device scenario. Toxicol. Ind. Health, 34(6), 433–438.10.1177/0748233718762920
- 3. Jeong, H., Park, M., Jeong, H., Hwang, W., Kim, E., & Han, M. (2013). Radiological risk assessment caused by RDD terrorism in an urban area. Appl. Radiat. Isot., 79, 1–4.10.1016/j.apradiso.2013.04.018
- 4. Porter, K., & Lee, L. (2007). Radiological terrorism scenarios. Prehosp. Disaster Med., 22(6), 547.10.1017/S1049023X00005410
- 5. Harper, F. T., Musolino, S. V., & Wente, W. B. (2007). Realistic radiological dispersal device hazard boundaries and ramifications for early consequence management decisions. Health Phys., 93(1), 1–16.10.1097/01.HP.0000264935.29396.6f
- 6. Mettler, F. A. Jr. (2005). Medical resources and requirements for responding to radiological terrorism. Health Phys., 89(5), 488–493.10.1097/01.HP.0000172143.37040.bd
- 7. Conklin, C., & Edwards, J. (2000). Selection of protective action guides for nuclear incidents. EPA. J. Hazard. Mater., 75(2/3), 131–144.10.1016/S0304-3894(00)00176-X
- 8. Timins, J. K., & Lipoti, J. A. (2004). Radiological terrorism. N. J. Med., 101(Suppl. 9), 66–75; quiz 75–76.
- 9. Stone, R. (2002). Radiological terrorism. New effort aims to thwart dirty bombers. Science, 296(5576), 2117–2119.
- 10. Homann, S. G., & Aluzzi, F. (2019). HotSpot Health Physics Codes Version 3.0 User’s Guide. Lawrence, CA, USA: Livermore National Laboratory.
- 11. Yu, C. (2009). Preliminary report on operational guidelines developed for use in emergency preparedness and response to a radiological dispersal device incident. Chicago: Argonne National Laboratory.
- 12. Pasquill, F. (1961). The estimation of the dispersion of windborne material. Meteorol. Mag., 90(1063), 33–41.
- 13. Maillie, H. D., Simon, W., Watts, R. J., & Quinn, B. R. (1993). Determining person-years of life lost using the BEIR V method. Health Phys., 64(5), 461–466.10.1097/00004032-199305000-000018491595
- 14. Maillie, H. D., & Jacobson, A. P. (1992). A graphical method of estimating fatal radiation-induced cancers using the BEIR V method. Health Phys., 63(3), 273–280.10.1097/00004032-199209000-000021644563
- 15. ICRP. (1977). Implications of Commission recommendations that doses be kept as low as readily achievable. In A report of ICRP Committee 4 (pp. 2–3). Oxford. (ICRP Publication 22).
- 16. Institute of Medicine. (1999). Follow-up of persons with known or suspected exposure to ionizing radiation. In Potential radiation exposure in military operations: Protecting the soldier before, during, and after (pp. 88–107). Washington, DC: The National Academies Press. Available from https://doi.org/10.17226/9454.10.17226/945425077192
- 17. IAEA. (1996). Methods for estimating the probability of cancer from occupational radiation exposure. Vienna: International Atomic Energy Agency. (IAEATECDOC-870).
- 18. INCa. (2018). Estimate/2018 – Cancer incidence in Brazil. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva.