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Uneven Growth in Social Capital Organizations After Disasters by Pre-Disaster Conditions in the United States 2000–2014

Published online by Cambridge University Press:  12 December 2022

Yvonne L. Michael Open the ORCID record for Yvonne L. Michael [Opens in a new window] ,
Kevin T. Smiley ,
Lauren Clay Open the ORCID record for Lauren Clay [Opens in a new window] ,
Jana A. Hirsch  and
Gina S. Lovasi
Yvonne L. Michael*
Affiliation:
Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, and Urban Health Collaborative, Philadelphia, Pennsylvania, USA
Kevin T. Smiley
Affiliation:
Department of Sociology, College of Humanities & Social Sciences, Louisiana State University, Baton Rouge, Louisiana, USA
Lauren Clay
Affiliation:
Department of Emergency Health Services, College of Arts, Humanities, and Social Sciences, University of Maryland Baltimore County, Baltimore, Maryland, USA
Jana A. Hirsch
Affiliation:
Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, and Urban Health Collaborative, Philadelphia, Pennsylvania, USA
Gina S. Lovasi
Affiliation:
Department of Epidemiology and Biostatistics, Drexel University, Dornsife School of Public Health, and Urban Health Collaborative, Philadelphia, Pennsylvania, USA
*
Corresponding author: Yvonne L Michael, Email: ylm23@drexel.edu.
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Abstract

Introduction:

Community-level social capital organizations are critical pre-existing resources that can be leveraged in a disaster.

Aim:

The study aimed to test the hypothesis that communities with larger pre-disaster stocks of social capital organizations would maintain pre-disaster levels or experience growth.

Methodology:

An annual panel dataset of counties in the contiguous United States from 2000 to 2014 totaling 46620 county-years, including longitudinal data on disasters and social capital institutions was used to evaluate the effect of disaster on growth of social capital.

Results:

When a county experienced more months of disasters, social capital organizations increased a year later. These findings varied based on the baseline level of social capital organizations. For counties experiencing minor disaster impacts, growth in social capital organizations tends to occur in counties with more social capital organizations in 2000; this effect is a countervailing finding to that of major disasters, and effect sizes are larger.

Conclusion:

Given the growing frequency of smaller-scale disasters and the considerable number of communities that experienced these disasters, the findings suggest that small scale events create the most common and potentially broadest impact opportunity for intervention to lessen disparities in organizational growth.

Keywords

disaster planningcapacity buildingnatural disasterssocial capitaldisaster resilience
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e278
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

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References

O’Brien, G, O’keefe, P, Rose, J, Wisner, B. Climate change and disaster management. Disasters. 2006;30(1):64-80.CrossRefGoogle ScholarPubMed
Pachauri, R, Allen, M, Barros, V, Broome, J, Cramer, W, Christ, R. Climate change 2014: Synthesis report. Contribution of working groups I II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland: IPCC; 2014 2016.Google Scholar
Sauerborn, R, Ebi, K. Climate change and natural disasters–integrating science and practice to protect health. Global Health Action. 2012;5(1):19295.Google ScholarPubMed
Schipper, ELF, Thomalla, F, Vulturius, G, Davis, M, Johnson, K. Linking disaster risk reduction, climate change and development. Int J Disaster Resil Built Environ. 2016;7(2):216-228.CrossRefGoogle Scholar
National Oceanic and Atmospheric Administration, National Center for Environmental Information. Billion-dollar weather and climate disasters: summary stats. https://www.ncdc.noaa.gov/billions/summary-stats. Updated Novemeber 2, 2020.Google Scholar
Smiley, KT, Howell, J, Disasters, Elliott JR., local organizations, and poverty in the USA, 1998 to 2015. Popul Environ. 2018;40(2):115-135.Google Scholar
Dutzik, T, Ridlington, E, Van Heek, T, Wilcox, N. In the path of the storm: global warming, extreme weather and the impacts of weather-related disasters in the United States from 2007 to 2012. Environment America Research and Policy Center; 2013.Google Scholar
Borden, KA, Cutter, SL. Spatial patterns of natural hazards mortality in the United States. Int J Health Geogr. 2008;7(1):64-77.CrossRefGoogle ScholarPubMed
Smiley, KT. Social inequalities in flooding inside and outside of floodplains during Hurricane Harvey. Environ Res Lett. 2020;15(9):0940b0943.CrossRefGoogle Scholar
Rhubart, D, Sun, Y. The social correlates of flood risk: variation along the US rural–urban continuum. Population and Environment. 2021;43(2):1-25.CrossRefGoogle Scholar
Frumkin, H, Hess, J, Luber, G, Malilay, J, McGeehin, M. Climate change: the public health response. Am J Pub Health. 2008;98(3):435-445.CrossRefGoogle ScholarPubMed
Santos, JM, Aguirre, BE. Communicating risk and uncertainty: science, technology, and disasters at the crossroads. In: Handbook of disaster research. Springer; 2007:476-488.Google Scholar
Adams, V, Kaufman, SR, Van Hattum, T, Moody, S. Aging disaster: mortality, vulnerability, and long-term recovery among Katrina survivors. Med Anthropol. 2011;30(3):247-270.CrossRefGoogle ScholarPubMed
Ragan, P, Schulte, J, Alelson, SJ, Jones, KT. Mortality surveillance - 2004 to 2005 Florida hurricane-related deaths. Am J Forensic Med Pathol. 2008;29(2):148-153.Google ScholarPubMed
Zane, DF, Bayleyegn, TM, Hellsten, J, et al. Tracking deaths related to Hurricane Ike, Texas, 2008. Dis Med Public Health Prep. 2011;5(1):23-28.CrossRefGoogle Scholar
Jiao, Z, Kakoulides, SV, Moscona, J, et al. Effect of Hurricane Katrina on incidence of acute myocardial infarction in New Orleans three years after the storm. Am J Cardiol. 2012;109(4):502-505.CrossRefGoogle ScholarPubMed
Jordan, HT, Stellman, SD, Morabia, A, et al. Cardiovascular disease hospitalizations in relation to exposure to the September 11, 2001 World Trade Center Disaster and posttraumatic stress disorder. JAHA. 2013;2(5):e000431.CrossRefGoogle Scholar
Kario, K, Bruce, SM, Thomas, GP. Disasters and the heart: a review of the effects of earthquake-induced stress on cardiovascular disease. Hypertens Res. 2003;26(5):355-367.CrossRefGoogle Scholar
Peters, MN, Moscona, JC, Katz, MJ, et al. Natural disasters and myocardial infarction: the six years after Hurricane Katrina. Mayo Clinic Proceedings. 2014;89(4):472-477.CrossRefGoogle ScholarPubMed
Sharma, AJ, Weiss, EC, Young, SL, et al. Chronic Disease and related conditions at emergency treatment facilities in the New Orleans area after Hurricane Katrina. Dis Med Public Health Prep. 2008;2(1):27-32.CrossRefGoogle ScholarPubMed
Wainwright, SH, Buchanan, SD, Mainzer, M, Parrish, RG, Sinks, TH. Cardiovascular mortality — the hidden peril of heat waves. Prehosp Disaster Med. 1999;14(4):18-27.CrossRefGoogle ScholarPubMed
Krishnan, S, Pappadis, MR, Runo, R, Graham, JE. Experiences and needs of older adults following Hurricane Ike: a pilot study of long-term consequences. Health Promot Pract. 2019;20(1):31-37.CrossRefGoogle Scholar
Rosenheim, N, Grabich, S, Horney, JA. Disaster impacts on cost and utilization of medicare. BMC Health Serv Res. 2018;18(1):89-98.CrossRefGoogle ScholarPubMed
Abramson, DM, Stehling-Ariza, T, Park, YS, Walsh, L, Culp, D. Measuring individual disaster recovery: a socioecological framework. Dis Med Public Health Prep. 2010;4(S1):S46-S54.CrossRefGoogle ScholarPubMed
Acierno, R, Ruggiero, KJ, Kilpatrick, DG, Resnick, HS, Galea, S. Risk and protective factors for psychopathology among older versus younger adults after the 2004 Florida hurricanes. Am J Geriatr Psychiatry. 2006;14(12):1051-1059.CrossRefGoogle ScholarPubMed
Heid, AR, Schug, S, Cartwright, FP, Pruchno, R. Challenges faced and support received: older adults’ perceptions of Hurricane Sandy. Dis Med Public Health Prep. 2017;11(1):39-47.Google ScholarPubMed
Hikichi, H, Aida, J, Kondo, K, Kawachi, I. Persistent impact of housing loss on cognitive decline after the 2011 Great East Japan earthquake and tsunami: evidence from a 6-year longitudinal study. Alzheimer’s & Dementia. 2019;15(8):1009-1018.CrossRefGoogle ScholarPubMed
Lamb, KV, O’Brien, C, Fenza, PJ. Elders at risk during disasters. Home Healthc Now. 2008;26(1):30-38.CrossRefGoogle ScholarPubMed
Uscher-Pines, L. Health effects of relocation following disaster: a systematic review of the literature. Disasters. 2009;33(1):1-22.CrossRefGoogle ScholarPubMed
Dynes, R. Social capital: Dealing with community emergencies. Homeland Secur Affairs. 2006;2(2).Google Scholar
Aldrich, DP. Building resilience: social capital in post-disaster recovery. University of Chicago Press; 2012.CrossRefGoogle Scholar
Meyer, MA. Social capital in disaster research. In: Handbook of disaster research. New York City, New York: Springer; 2018:263-286.Google Scholar
Aldrich, DP, Meyer, MA. Social capital and community resilience. Am Behav Sci. 2015;59(2):254-269.Google Scholar
Norris, FH, Stevens, SP, Pfefferbaum, B, Wyche, KF, Pfefferbaum, RL. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am J Community Psychol. 2008;41(1):127-150.CrossRefGoogle ScholarPubMed
Buckland, J, Rahman, M. Community-based disaster management during the 1997 Red River Flood in Canada. Disasters. 1999;23(2):174-191.CrossRefGoogle ScholarPubMed
Moore, S, Daniel, M, Linnan, L, Campbell, M, Benedict, S, Meier, A. After Hurricane Floyd passed: investigating the social determinants of disaster preparedness and recovery. Fam Community Health. 2004;27(3):204-217.CrossRefGoogle ScholarPubMed
Aldrich, DP. Ties that bond, ties that build: social capital and governments in post disaster recovery. SIEO. 2011;4:58-68.Google Scholar
Nakagawa, Y, Shaw, R. Social capital: A missing link to disaster recovery. IJMED. 2004;22(1):5-34.Google Scholar
Shimada, G. The role of social capital after disasters: An empirical study of Japan based on Time-Series-Cross-Section (TSCS) data from 1981 to 2012. Int J Disaster Risk Reduct. 2015;14:388-394.CrossRefGoogle Scholar
Hirsch, JA, Moore, KA, Cahill, J, et al. Business data categorization and refinement for application in longitudinal neighborhood health research: a methodology. J Urban Health. 2021;98(2):271-284.CrossRefGoogle ScholarPubMed
Arizona State University. The spatial hazard events and losses database for the United States, Version 17.0. Arizona State University; 2018. Available from http://www.sheldus.org Google Scholar
Logan, JR, Xu, Z, Stults, BJ. Interpolating US decennial census tract data from as early as 1970 to 2010: a longitudinal tract database. Prof Geogr. 2014;66(3):412-420.CrossRefGoogle Scholar
Logan, JR, Stults, BJ, Xu, Z. Validating population estimates for harmonized census tract data, 2000–2010. Ann Am Assoc Geogr. 2016;106(5):1013-1029.Google ScholarPubMed
Manson, S, Schroeder, J, Van Riper, D, Kugler, T, Ruggles, S. IPUMS National Historical Geographic Information System. In: IPUMS, ed. Version 16.0 ed. Minneapolis, MN; 2020.Google Scholar
Kaufman, TK, Sheehan, DM, Rundle, A, et al. Measuring health-relevant businesses over 21 years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set. BMC Res Notes. 2015;8(1):1-13.Google ScholarPubMed
Small, ML. Unanticipated gains: origins of network inequality in everyday life. Oxford University Press; 2009.CrossRefGoogle Scholar
Aldrich, DP. Fixing recovery: social capital in post-crisis resilience. J Home Secur. 2010.Google Scholar
Leonardi, R, Nanetti, RY, Putnam, RD. Making democracy work: Civic traditions in modern Italy. Princeton University Press: Princeton, NJ; 2001.Google Scholar
Roman, CG. Measuring local institutions and organizations: the role of community institutional capacity in social capital. 2004. http://www.urban.org/UploadedPDF/410998_Local_Institutions.pdf. Accessed September 24, 2021.Google Scholar
Jencks, C, Mayer, SE. The social consequences of growing up in a poor neighborhood. Inner-city poverty in the United States. 1990;111:186. Accessed September 24, 2021.Google Scholar
Leventhal, T, Brooks-Gunn, J. The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychological bulletin. 2000;126(2):309.CrossRefGoogle ScholarPubMed
Breton, M. On the meaning of empowerment and empowerment-oriented social work practice. Soc Work groups. 1994;17(3):23-37.CrossRefGoogle Scholar
Rupasingha, A, Goetz, SJ, Freshwater, D. The production of social capital in US counties. J Socio Econ. 2006;35(1):83-101.CrossRefGoogle Scholar
Gall, M, Borden, KA, Cutter, SL. When do losses count? Six fallacies of natural hazards loss data. Bull Am Meteorol Soc. 2009;90(6):799-810.Google Scholar
Gall, M, Borden, KA, Emrich, CT, Cutter, SL. The unsustainable trend of natural hazard losses in the United States. Sustainability. 2011;3(11):2157-2181.CrossRefGoogle Scholar
Howell, J, Elliott, JR. Damages done: the longitudinal impacts of natural hazards on wealth inequality in the United States. Soc Probl. 2019;66(3):448-467.CrossRefGoogle Scholar
Allison, PD. Fixed effects regression models. Newbury Park, CA: SAGE publications; 2009.Google Scholar
Elliott, JR, Howell, J. Beyond disasters: a longitudinal analysis of natural hazards’ unequal impacts on residential instability. Soc Forces. 2017;95(3):1181-1207.Google Scholar
Stolle, D, Rochon, TR. Are all associations alike? Member diversity, associational type, and the creation of social capital. Am Behav Sci. 1998;42(1):47-65.Google Scholar
National Academies of Science, Engineering, Medicine. Enhancing community resilience through social capital and connectedness: stronger together! Washington, DC: The National Academies Press; 2021.Google Scholar
Delilah Roque, A, Pijawka, D, Wutich, A. The role of social capital in resiliency: disaster recovery in Puerto Rico. RHCPP. 2020;11(2):204-235.Google Scholar
McEntire, DA. Disaster response and recovery: strategies and tactics for resilience. Hoboken, NJ: John Wiley & Sons; 2015.Google Scholar
Freitag, RC, Abramson, DB, Chalana, M, Dixon, M. Whole community resilience: an asset-based approach to enhancing adaptive capacity before a disruption. J Am Plann Assoc. 2014;80(4):324-335.CrossRefGoogle Scholar
O’Sullivan, TL, Corneil, W, Kuziemsky, CE, Toal-Sullivan, D. Use of the structured interview matrix to enhance community resilience through collaboration and inclusive engagement. Syst Res Behav Sci. 2015;32(6):616-628.CrossRefGoogle Scholar
Jicha, KA, Thompson, GH, Fulkerson, GM, May, JE. Individual participation in collective action in the context of a Caribbean island state: testing the effects of multiple dimensions of social capital. Rural Soc. 2011;76(2):229-256.CrossRefGoogle Scholar
Kendra, J, Clay, L, Gill, K, et al. Community resilience: toward a framework for an integrated, interdisciplinary model of disaster. Natl Hazards Rev. 2021;22(4):04021049.CrossRefGoogle Scholar
Links, JM, Schwartz, BS, Lin, S, et al. COPEWELL: a conceptual framework and system dynamics model for predicting community functioning and resilience after disasters. Dis Med Public Health Prep. 2018;12(1):127-137.Google ScholarPubMed