References
- Abdullah, H., Lynch, S., Aftab, S., Shahar, S., Klepacz, L., Cristofano, P., Rahmat, S., Save-Mundra, J., Dornbush, R., Lerman, A., Berger, K., Bartell, A., & Ferrando, S. (2021). Characteristics of calls to a COVID-19 mental health hotline in the first wave of the pandemic in New York. Community Mental Health Journal, 57(7), 1252–1254. https://doi.org/10.1007/s10597-021-00868-9
- An, R., Qiu, Y., Xiang, X., Ji, M., & Guan, C. (2019). Impact of Hurricane Katrina on mental health among US adults. American Journal of Health Behavior, 43(6), 1186–1199. https://doi.org/10.5993/AJHB.43.6.15
- Bogel-Burroughs, N., del Rio, G., Paybarah, A. (2021, February 20). Texas winter snow: What to know, New York Times. Retrieved August 30, 2023, from www.nytimes.com/2021/02/20/us/texas-winter-storm-explainer.html
- Bu, F., Mak, H., & Fancourt, D. (2021). Rates and predictors of uptake of mental health support during the COVID-19 pandemic: An analysis of 26,720 adults in the UK. Social Psychiatry and Psychiatric Epidemiology, 56(12), 2287–2297. https://doi.org/10.1007/s00127-021-02105-w
- Cannon, L., Coolidge, E., LeGierse, J., Moskowitz, Y., Buckley, C., Chapin, E., Warren, M., & Kuzma, E. (2020). Trauma-informed education: Creating and pilot testing a nursing curriculum on trauma-informed care. Nurse Education Today, 85, 104256. https://doi.org/10.1016/j.nedt.2019.104256
- Collins, T., Jimenez, A., & Grineski, S. (2013). Hispanic health disparities after a flood disaster: Results of a population-based survey of individuals experiencing home site damage in El Paso (Texas, USA). Journal of Immigrant and Minority Health, 15(2), 415–426. https://doi.org/10.1007/s10903-012-9626-2
- Czeisler, M., Lane, R., Petrosky, E., Wiley, J., Christensen, A., Njai, R., Weaver, M., Robbins, R., Facer-Childs, E., Barger, L., Czeiser, C., Howard, M., & Rajaratnam, S. (2020). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic – United States. Morbidity and Mortality Weekly Report, 69, 1049–1057. https://doi.org/10.15585/mmwr.mm6932a1
- Gavrilovic, J. J., Schützwohl, M., Fazel, M., & Priebe, S. (2005). Who seeks treatment after a traumatic event and who does not? A review of findings on mental health service utilization. Journal of Traumatic Stress, 18(6), 595–605. https://doi.org/10.1002/jts.20068
- Gearing, R., Washburn, M., Brewer, K., Yu, M., Bjugstad, A., & Torres, L. (2023). Predictors of help-seeking for mental health treatment among Latinos. Journal of Racial and Ethnic Health Disparities, 10(4), 1869–1877. https://doi.org/10.1007/s40615-022-01370-y
- Hamblen, J., Norris, F., Symon, K., & Bow, T. (2017). Cognitive behavioral therapy for post disaster distress: A promising transdiagnostic approach to treating disaster survivors. Psychological Trauma: Theory, Research, Practice and Policy, 9(Suppl 1), 130–136. https://doi.org/10.1037/tra0000221
- Hanson, B. (2021). Texas winter storm: A look back and a look ahead. Fox4 KDFW. Retrieved February 1, 2022 from https://www.fox4news.com/news/2021-texas-winter-storm-a-look-back-and-a-look-ahead.
- Hurley, J., Lakeman, R., Linsley, P., Ramsay, M., & Mckenna-Lawson, S. (2022). Utilizing the mental health nursing workforce: A scoping review of mental health nursing clinical roles and identities. International Journal of Mental Health Nursing, 31(4), 796–822. https://doi.org/10.1111/inm.12983
- Lowe, S. R., Sampson, L., Gruebner, O., & Galea, S. (2016). Mental health service need and use in the aftermath of Hurricane Sandy: Findings in a population-based sample of New York City residents. Community Mental Health Journal, 52(1), 25–31. https://doi.org/10.1007/s10597-015-9947-4
- Marshall, K., & Venta, A. (2020). Prospective analysis of linguistic analysis as a method for assessing trauma symptoms after Hurricane Harvey among Houstonian adults. Traumatology, 26(4), 438–446. https://doi.org/10.1037/trm0000252
- Moreland-Capuia, A., Dumornay, N., Mangus, A., Ravichandran, C., Greenfield, S., & Ressler, K. (2022). Establishing and validating a survey for trauma-informed, culturally responsive change across multiple systems. Journal of Public Health, 31(12), 2089–2102. https://doi.org/10.1007/s10389-022-01765-5
- Raker, E., Arcaya, M., Lowe, S., Zacher, M., Rhodes, J., & Waters, M. (2020). Mitigating Health disparities after natural disasters: Lessons from The RISK Project. Health. Health Affairs (Project Hope), 39(12), 2128–2135. https://doi.org/10.1377/hlthaff.2020.01161
- Raker, E., Lowe, S., Arcaya, M., Johnson, S., Rhodes, J., & Waters, M. (2019). Twelve years later: The long-term mental health consequences of Hurricane Katrina. Social Science & Medicine (1982), 242, 112610. https://doi.org/10.1016/j.socscimed.2019.112610
- Rodriguez, J., & Kohn, R. (2008). Use of mental health services among disaster survivors. Current Opinion in Psychiatry, 21(4), 370–378. https://doi.org/10.1097/YCO.0b013e328304d984
- Saeed, S., & Gargano, S. (2022). Natural disasters and mental health. (2022). International Review of Psychiatry), 34(1), 16–25. https://doi.org/10.1080/09540261.2022.2037524
- Substance Abuse and Mental Health Services Administration. (2019). Disasters and People with Serious Mental Illness, Disaster technical assistance center supplemental research bulletin, Retrieved March 3, 2023, from https://www.samhsa.gov/sites/default/files/disasters-people-with-serious-mental-illness.pdf.
- Tambling, R., Russell, B., Fendrich, M., & Park, C. (2023). Predictors of mental health help seeking during COVID-19: Social support, emotion regulation, and mental health symptoms. The Journal of Behavioral Health Services & Research, 50(1), 68–79. https://doi.org/10.1007/s11414-022-09796-2
- US Census Bureau. (2020). US Census Bureau data. www.data.census.gov.
- Wilson-Genderson, M., Heid, A., & Pruchno, R. (2018). Long-term effects of disaster on depressive symptoms: Type of exposure matters. Social Science & Medicine (1982), 217, 84–91. https://doi.org/10.1016/j.socscimed.2018.09.062
- Yuan, F., Lee, C.-C., Mobley, W., Farahmand, H., Xu, Y., Blessing, R., Dong, S., Mostafavi, A., & Brody, S. D. (2023). Predicting road flooding risk with crowdsourced reports and fine-grained traffic data. Computational Urban Science, 3(1), 15. https://doi.org/10/1007/s43762-023-00082-1