Psychosocial Correlates of Mental Health and Well-Being During the COVID-19: The Spanish Case

  1. Sara Esteban-Gonzalo 1
  2. Juan Luis González-Pascual 1
  3. María Caballero-Galilea 1
  4. Laura Esteban-Gonzalo 2
  1. 1 Universidad Europea de Madrid
    info

    Universidad Europea de Madrid

    Madrid, España

    ROR https://ror.org/04dp46240

  2. 2 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

Livre:
Coronavirus Disease (COVID-19): The Mental Health, Resilience, and Communication Resources for the Short- and Long-term Challenges Faced by Healthcare Workers

Éditorial: Frontiers

ISSN: 1664-8714

ISBN: 9782889761210

Année de publication: 2022

Pages: 113-123

Type: Chapitre d'ouvrage

DOI: 10.3389/978-2-88976-121-0 GOOGLE SCHOLAR lock_openAccès ouvert editor

Résumé

Background: The COVID-19 pandemic has hit almost all countries around the globe,seriously affecting the welfare of populations. Spain is especially hard-hit. In this context,the purpose of the present study is to analyze social, demographic, and economiccorrelates of mental health during the COVID-19 pandemic in the population residingin Spain.Method: The sample of this cross-sectional study was comprised of 801 participantsaged 18 or older and residing in Spain. Data collection was carried out during March andApril 2020. Data of mental health (GHQ12) and well-being (Positive and Negative AffectSchedule) indicators, and those of a wide number of social, demographic, and economicvariables were recorded. Linear regression models were built to value associationsbetween mental health and social, demographic, and economic indicators.Results: Mental health morbidity was higher in women, younger people, individualswith medium studies, people with fewer children, singles, students, and unemployedindividuals. Positive affect was higher among women, people with a high level of studies,those not co-living with dependent seniors, the self-employed, the employed, and thoseworking outside home. Negative affect was negatively associated with age and numberof children and was higher among women, people with basic studies, singles, individualsco-living with dependent seniors, homemakers, and students.Conclusion: The most vulnerable populations were found to be women, youngerpeople, people with basic or medium studies, students and individuals with noremunerated activities, single populations, and those co-living with dependent seniorsas well as those with a reduced number of children.

Références bibliographiques

  • Afifi, W. A., Felix, E. D., and Afifi, T. D. (2012). The impact of uncertainty and communal coping on mental health following natural disasters. Anxiety Stress Coping 25, 329–347. doi: 10.1080/10615806.2011.603048
  • Alvarez, F. E., Argente, D., and Lippi, F. (2020). A Simple Planning Problem for Covid-19 Lockdown. Cambridge, MA: National Bureau of Economic Research.
  • Anderson, R. M., Heesterbeek, H., Klinkenberg, D., and Hollingsworth, T. D. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 395, 931–934. doi: 10.1016/s0140-6736(20) 30567-5
  • Atkeson, A. (2020). What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios. Cambridge, MA: National Bureau of Economic Research.
  • Blendon, R. J., Benson, J. M., DesRoches, C. M., Raleigh, E., and Taylor-Clark, K. (2004). The public’s response to severe acute respiratory syndrome in Toronto and the United States. Clin. Infect. Dis. 38, 925–931. doi: 10.1086/38 2355
  • Braunack-Mayer, A., Tooher, R., Collins, J. E., Street, J. M., and Marshall, H. (2013). Understanding the school community’s response to school closures during the H1N1 2009 influenza pandemic. BMC Public Health 13:344. doi: 10.1186/1471- 2458-13-344
  • Brooks, S. K., Dunn, R., Amlôt, R., Rubin, G. J., and Greenberg, N. (2018). A systematic, thematic review of social and occupational factors associated with psychological outcomes in healthcare employees during an infectious disease outbreak. J. Occup. Environ. Med. 60, 248–257. doi: 10.1097/jom. 0000000000001235
  • Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., et al. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet 395, 912–920. doi: 10.1016/s0140-6736(20) 30460-8
  • Bruine de Bruin, W. (2020). Age differences in COVID-19 risk perceptions and mental health: evidence from a national US survey conducted in March 2020. J. Gerontol. Ser. B doi: 10.1093/geronb/gbaa074 [Epub ahead of print].
  • Burns, R. A., and Machin, M. A. (2010). Identifying gender differences in the independent effects of personality and psychological well-being on two broad affect components of subjective well-being. Pers. Individ. Diff. 48, 22–27. doi: 10.1016/j.paid.2009.08.007
  • Cava, M. A., Fay, K. E., Beanlands, H. J., McCay, E. A., and Wignall, R. (2005). The experience of quarantine for individuals affected by SARS in Toronto. Public Health Nurs. 22, 398–406. doi: 10.1111/j.0737-1209.2005.220504.x
  • Chatterjee, K., Chatterjee, K., Kumar, A., and Shankar, S. (2020). Healthcare impact of COVID-19 epidemic in India: a stochastic mathematical model. Med. J. Armed Forces India 76, 147–155. doi: 10.1016/j.mjafi.2020.03.022
  • Córdoba-Doña, J. A., Escolar-Pujolar, A., San Sebastián, M., and Gustafsson, P. E. (2016). How are the employed and unemployed affected by the economic crisis in Spain? Educational inequalities, life conditions and mental health in a context of high unemployment. BMC Public Health 16:1. doi: 10.1186/s12889-016- 2934-z
  • Davis, J. L., and Love, T. P. (2019). Generalizing from social media data: a formal theory approach. Inform. Commun. Soc. 22, 637–647. doi: 10.1080/1369118x. 2018.1555610
  • Diener, E., Emmons, R. A., Larsen, R. J., and Griffin, S. (1985a). The satisfaction with life scale. J. Pers. Assess. 49, 71–75. doi: 10.1207/s15327752jpa4901_13 Diener, E., Larsen, R. J., Levine, S., and Emmons, R. A. (1985b). Intensity and frequency: dimensions underlying positive and negative affect. J. Pers. Soc. Psychol. 48, 1253–1265. doi: 10.1037/0022-3514.48.5.1253
  • DiGiovanni, C., Conley, J., Chiu, D., and Zaborski, J. (2004). Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak. Biosecurity Bioterrorism 2, 265–272. doi: 10.1089/bsp.2004.2.265
  • Domínguez-Salas, S., Gómez-Salgado, J., Andrés-Villas, M., Díaz-Milanés, D., Romero-Martín, M., and Ruiz-Frutos, C. (eds) (2020). Psycho-emotional approach to the psychological distress related to the COVID-19 pandemic in Spain: a cross-sectional observational Study. Healthcare 8:190. doi: 10.3390/ healthcare8030190
  • Dong, E., Du, H., and Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect. Dis. 20, 533–534. doi: 10.1016/ s1473-3099(20)30120-1
  • Estadística (2019). Estadística INd. Gobierno de España [cited 2019 10/07/2020]. Available online at: https://www.ine.es/ (accessed July 10, 2020).
  • Esteban-Gonzalo, S., Aparicio, M., and Estaban-Gonzalo, L. (2018). Employment status, gender and health in Spanish women. Women Health 58, 744–758. doi: 10.1080/03630242.2017.1353574
  • Ferguson, N., Laydon, D., Nedjati Gilani, G., Imai, N., Ainslie, K., Baguelin, M., et al. (2020). Report 9: Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID19 Mortality and Healthcare Demand. Cambridge, MA: National Bureau of Economic Research.
  • Fernandes, N. (2020). Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy. IESE Business School Working Paper No. WP-1240-E. Pamplona: University of Navarra.
  • Figari, F., and Fiorio, C. V. (2020). Welfare Resilience in the Immediate Aftermath of the COVID-19 Outbreak in Italy. Naagarabhaavi: Institute for Social and Economic Research.
  • Fontanesi, L., Marchetti, D., Mazza, C., Di Giandomenico, S., Roma, P., and Verrocchio, M. C. (2020). The effect of the COVID-19 lockdown on parents: a call to adopt urgent measures. Psychol. Trauma 12, S79–S81. doi: 10.1037/ tra0000672
  • Frank, P., Iob, E., Steptoe, A., and Fancourt, D. (2020). Trajectories of depressive symptoms among vulnerable groups in the UK during the COVID-19 pandemic. medRxiv [Preprint]. doi: 10.1101/2020.06.09.20126300v1
  • Galderisi, S., Heinz, A., Kastrup, M., Beezhold, J., and Sartorius, N. (2015). Toward a new definition of mental health. World Psychiatry 14, 231–233. doi: 10.1002/ wps.20231
  • Galobardes, B., Shaw, M., Lawlor, D. A., Lynch, J. W., and Smith, G. D. (2006). Indicators of socioeconomic position (part 1). J Epidemiol. Commun. Health 60, 7–12. doi: 10.1136/jech.2004.023531
  • Gómez-Salgado, J., Andrés-Villas, M., Domínguez-Salas, S., Díaz-Milanés, D., and Ruiz-Frutos, C. (2020). Related health factors of psychological distress during the COVID-19 pandemic in Spain. Int. J. Environ. Res. Public Health 17:3947. doi: 10.3390/ijerph17113947
  • González-Sanguino, C., Ausín, B., ÁngelCastellanos, M., Saiz, J., López-Gómez, A., Ugidos, C., et al. (2020). Mental health consequences during the initial stage of the 2020 Coronavirus pandemic (COVID-19) in Spain. BrainBehav. Immunity 87, 172–176. doi: 10.1016/j.bbi.2020.05.040
  • Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., and Styra, R. (2004). SARS control and psychological effects of quarantine, Toronto, Canada. Emerg. Infect. Dis. 10, 1206–1212. doi: 10.3201/eid1007.030703
  • Heggebø, K. (2016). Health effects of unemployment in denmark, norway and sweden 2007–2010 differing economic conditions, differing results? Int. J. Health Serv. 46, 406–429. doi: 10.1177/0020731416636365
  • Heise, L., Greene, M. E., Opper, N., Stavropoulou, M., Harper, C., Nascimento, M., et al. (2019). Gender inequality and restrictive gender norms: framing the challenges to health. Lancet x 393, 2440–2454. doi: 10.1016/s0140-6736(19) 30652-x
  • Ho, C. S., Chee, C. Y., and Ho, R. C. (2020). Mental health strategies to combat the psychological impact of COVID-19 beyond paranoia and panic. Ann. Acad. Med. Singapore 49, 1–3.
  • Hoeymans, N., Garssen, A. A., Westert, G. P., and Verhaak, P. F. (2004). Measuring mental health of the Dutch population: a comparison of the GHQ-12 and the MHI-5. Health Qual. Life Outcomes 2:23.
  • Huang, Y., and Zhao, N. (2020). Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 288:112954. doi: 10.1016/j.psychres. 2020.112954
  • Iob, E., Steptoe, A., and Fancourt, D. (2020). Abuse, self-harm and suicidal ideation in the UK during the COVID-19 pandemic. Br. J. Psychiatry doi: 10.1192/bjp. 2020.130 [Epub ahead of print].
  • Jeong, H., Yim, H. W., Song, Y.-J., Ki, M., Min, J.-A., Cho, J., et al. (2016). Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol. Health 38:e2016048. doi: 10.4178/epih.e2016048
  • Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., and Stone, A. A. (2004). A survey method for characterizing daily life experience: the day reconstruction method. Science 306, 1776–1780. doi: 10.1126/science.1103572
  • Keyes, C. L., Shmotkin, D., and Ryff, C. D. (2002). Optimizing well-being: the empirical encounter of two traditions. J. Pers. Soc. Psychol. 82, 1007–1022. doi: 10.1037/0022-3514.82.6.1007
  • Kramer, S., and Bala, J. (2004). Managing uncertainty; coping styles of refugees in western countries. Intervention 2, 33–42.
  • Lee, S., Chan, L. Y., Chau, A. M., Kwok, K. P., and Kleinman, A. (2005). The experience of SARS-related stigma at amoy gardens. Soc. Sci. Med. 61, 2038– 2046. doi: 10.1016/j.socscimed.2005.04.010
  • Lewnard, J. A., and Lo, N. C. (2020). Scientific and ethical basis for socialdistancing interventions against COVID-19. Lancet Infect. Dis. 20, 631–633. doi: 10.1016/s1473-3099(20)30190-0
  • Linley, P. A., Maltby, J., Wood, A. M., Osborne, G., and Hurling, R. (2009). Measuring happiness: the higher order factor structure of subjective and psychological well-being measures. Pers. Individ. Diff. 47, 878–884. doi: 10. 1016/j.paid.2009.07.010
  • López-Bueno, R., Calatayud, J., Casaña, J., Casajús, J. A., Smith, L., Tully, M. A., et al. (2020a). COVID-19 confinement and health risk behaviors in Spain. Front. Psychol. 11:1426. doi: 10.3389/fpsyg.2020.01426
  • López-Bueno, R., Calatayud, J., Ezzatvar, Y., Casajús, J. A., Smith, L., Andersen, L. L., et al. (2020b). Association between current physical activity and current perceived anxiety and mood in the initial phase of COVID-19 confinement. Front. Psychiatry 11:729. doi: 10.3389/fpsyt.2020.00729
  • MacLeod, S., Musich, S., Hawkins, K., Alsgaard, K., and Wicker, E. R. (2016). The impact of resilience among older adults. Geriatr. Nurs. 37, 266–272. doi: 10.1016/j.gerinurse.2016.02.014
  • MacNeil, G., Kosberg, J. I., Durkin, D. W., Dooley, W. K., DeCoster, J., and Williamson, G. M. (2010). Caregiver mental health and potentially harmful caregiving behavior: the central role of caregiver anger. Gerontologist 50, 76–86. doi: 10.1093/geront/gnp099
  • Mazza, C., Ricci, E., Biondi, S., Colasanti, M., Ferracuti, S., Napoli, C., et al. (2020). A nationwide survey of psychological distress among italian people during the COVID-19 pandemic: immediate psychological responses and associated factors. Int. J. Environ. Res. Public Health 17:3165. doi: 10.3390/ijerph17093165
  • Mihashi, M., Otsubo, Y., Yinjuan, X., Nagatomi, K., Hoshiko, M., and Ishitake, T. (2009). Predictive factors of psychological disorder development during recovery following SARS outbreak. Health Psychol. 28, 91–100. doi: 10.1037/ a0013674
  • Muñoz, P., Tejerina-Allen, M., and Cañas, F. (1993). Estudio de validación preactiva del GHQ en población general urbana. Beca FIS 93:0905.
  • Nakazato, N., Schimmack, U., and Oishi, S. (2011). Effect of changes in living conditions on well-being: a prospective top–down bottom–up model. Soc. Indic. Res. 100, 115–135. doi: 10.1007/s11205-010-9607-6
  • Nussbaumer-Streit, B., Mayr, V., Dobrescu, A. I., Chapman, A., Persad, E., Klerings, I., et al. (2020). Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review. Cochrane Database Syst. Rev. 4:CD013574.
  • Nwogugu, M. C. (2020). Chapter-7: Complex Systems Challenges: Epidemics, the Welfare-State and the Constitution. Available at SSRN: https://ssrn.com/ abstract=3569636 (accessed July 10, 2020).
  • Ortuño-Sierra, J., Santarén-Rosell, M., de Albéniz, A. P., and Fonseca-Pedrero, E. (2015). Dimensional structure of the Spanish version of the Positive and Negative Affect Schedule (PANAS) in adolescents and young adults. Psychol. Assess. 27:e1. doi: 10.1037/pas0000107
  • Ostir, G. V., Smith, P. M., Smith, D., and Ottenbacher, K. J. (2005). Reliability of the Positive and Negative Affect Schedule (PANAS) in medical rehabilitation. Clin. Rehabil. 19, 767–769. doi: 10.1191/0269215505cr894oa
  • Parmet, W. E., and Sinha, M. S. (2020). Covid-19—the law and limits of quarantine. N. Engl. J. Med. 382:e28. doi: 10.1056/nejmp2004211
  • Pellecchia, U., Crestani, R., Decroo, T., Van den Bergh, R., and Al-Kourdi, Y. (2015). Social consequences of Ebola containment measures in Liberia. PLoS One 10:e0143036. doi: 10.1371/journal.pone.0143036
  • Person, B., Sy, F., Holton, K., Govert, B., and Liang, A. (2004). Fear and stigma: the epidemic within the SARS outbreak. Emerg. Infect. Dis. 10, 358–363. doi: 10.3201/eid1002.030750
  • Phillips, D. R., Siu, O.-L., Yeh, A. G., and Cheng, K. H. (2005). The impacts of dwelling conditions on older persons’ psychological well-being in Hong Kong: the mediating role of residential satisfaction. Soc. Sci. Med. 60, 2785–2797. doi: 10.1016/j.socscimed.2004.11.027
  • Pollard, T. M. (2001). Changes in mental well-being, blood pressure and total cholesterol levels during workplace reorganization: the impact of uncertainty. Work Stress 15, 14–28. doi: 10.1080/02678370110064609
  • Ratcliffe, A. (2010). Housing Wealth or Economic Climate: Why Do House Prices Matter for Well-Being?: Centre for Market and Public Organisation. Bristol: University of Bristol.
  • Remuzzi, A., and Remuzzi, G. (2020). COVID-19 and Italy: what next? Lancet 395, 1225–1228. doi: 10.1016/s0140-6736(20)30627-9
  • Reynolds, D. L., Garay, J., Deamond, S., Moran, M. K., Gold, W., and Styra, R. (2008). Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiol. Infect. 136, 997–1007. doi: 10.1017/ s0950268807009156
  • Rivera, B., Casal, B., and Currais, L. (2016). Crisis, suicide and labour productivity losses in Spain. Eur. J. Health Econ. 18, 83–96. doi: 10.1007/s10198-015-0760-3
  • Robertson, E., Hershenfield, K., Grace, S. L., and Stewart, D. E. (2004). The psychosocial effects of being quarantined following exposure to SARS: a qualitative study of Toronto health care workers. Can. J. Psychiatry 49, 403–407. doi: 10.1177/070674370404900612
  • Rodríguez-Rey, R., Garrido-Hernansaiz, H., and Collado, S. (2020a). Psychological impact and associated factors during the initial stage of the coronavirus (COVID-19) pandemic among the general population in Spain. Front. Psychol. 11:1540. doi: 10.3389/fpsyg.2020.01540
  • Rodríguez-Rey, R., Garrido-Hernansaiz, H., and Collado, S. (2020b). Psychological impact of COVID-19 in Spain: early data report. Psychol. Trauma 12, 550–552. doi: 10.1037/tra0000943
  • Ryan, R. M., and Deci, E. L. (2001). On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu. Rev. Psychol. 52, 141–166. doi: 10.1146/annurev.psych.52.1.141
  • Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S., et al. (2009). Cross-national associations between gender and mental disorders in the World Health organization world mental health surveys. Arch. Gen. Psychiatry 66, 785–795. doi: 10.1001/archgenpsychiatry.2009.36
  • Shannon, M., and Lee, K. A. (2008). HIV-infected mothers’ perceptions of uncertainty, stress, depression and social support during HIV viral testing of their infants. Arch. Women’s Mental Health 11, 259–267. doi: 10.1007/s00737- 008-0023-8
  • Shifren, K., and Kachorek, L. (2003). Does early caregiving matter? The effects on young caregivers’ adult mental health. Int. J. Behav. Dev. 27, 338–346. doi: 10.1080/01650250244000371
  • Singh, R., and Adhikari, R. (2020). Age-structured impact of social distancing on the COVID-19 epidemic in India. arXiv [preprint]. Available online at: https://arxiv.org/abs/2003.12055 (accessed July 10, 2020).
  • Sinha, S. P., Nayyar, P., and Sinha, S. P. (2002). Social support and self-control as variables in attitude toward life and perceived control among older people in India. J. Soc. Psychol. 142, 527–540. doi: 10.1080/00224540209603916
  • Skoog, I. (2020). COVID-19 and mental health among older people in Sweden. Int. Psychogeriatr. 32, 1173–1175. doi: 10.1017/s104161022000143x
  • Solari, C. D., and Mare, R. D. (2012). Housing crowding effects on children’s wellbeing. Soc. Sci. Res. 41, 464–476. doi: 10.1016/j.ssresearch.2011.09.012 Steptoe, A., Deaton, A., and Stone, A. A. (2015). Subjective wellbeing, health, and ageing. Lancet 385, 640–648. doi: 10.1016/s0140-6736(13)61489-0
  • Tapia, M., and Jerónimo, B. (2020). Lo que la pandemia deja al descubierto. El COVID-19 en España. Espaço Econ. Rev. Brasileira Geografia Econ. 17, 1–6. doi: 10.4000/espacoeconomia.10946
  • Taylor, M. P., Jenkins, S. P., and Sacker, A. (2011). Financial capability and psychological health. J. Econ. Psychol. 32, 710–723. doi: 10.1016/j.joep.2011. 05.006
  • Taylor, M. R., Agho, K. E., Stevens, G. J., and Raphael, B. (2008). Factors influencing psychological distress during a disease epidemic: data from Australia’s first outbreak of equine influenza. BMC Public Health 8:347. doi: 10.1186/1471- 2458-8-347
  • Thomsen, D. K., Mehlsen, M. Y., Viidik, A., Sommerlund, B., and Zachariae, R. (2005). Age and gender differences in negative affect—Is there a role for emotion regulation? Pers. Individ. Diff. 38, 1935–1946. doi: 10.1016/j.paid.2004. 12.001
  • Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54, 1063–1070. doi: 10.1037/0022-3514.54.6. 1063
  • World Health Organization [WHO] (2020a). Considerations for Quarantine of Individuals in the Context of Containment for Coronavirus Disease (COVID-19): Interim Guidance, 19 March 2020. Geneva: World Health Organization.
  • World Health Organization [WHO] (2020b). Coronavirus Disease 2019 (COVID19): Situation Report, 72. Geneva: World Health Organization.
  • World Health Organization [WHO], Department Whosa, Health WHODoM, and Abuse, S. (2004). Global Status Report on Alcohol 2004. Geneva: World Health Organization.
  • Wu, P., Liu, X., Fang, Y., Fan, B., Fuller, C. J., Guan, Z., et al. (2008). Alcohol abuse/dependence symptoms among hospital employees exposed to a SARS outbreak. Alcohol Alcohol. 43, 706–712. doi: 10.1093/alcalc/agn073
  • Xiao, H., Zhang, Y., Kong, D., Li, S., and Yang, N. (2020a). Social capital and sleep quality in individuals who self-isolated for 14 days during the coronavirus disease 2019 (COVID-19) outbreak in January 2020 in China. Med. Sci. Monit. 26:e923921. doi: 10.12659/MSM.923921
  • Xiao, H., Zhang, Y., Kong, D., Li, S., and Yang, N. (2020b). The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Med. Sci. Monit. 26:e923549.
  • Yoon, M.-K., Kim, S.-Y., Ko, H.-S., and Lee, M.-S. (2016). System effectiveness of detection, brief intervention and refer to treatment for the people with post-traumatic emotional distress by MERS: a case report of community-based proactive intervention in South Korea. Int. J. Ment. Health Syst. 10:51. doi: 10.1186/s13033-016-0083-5
  • Zaar, M. H., and Ávila, M.-B. G. (2020). El Covid-19 en España y sus primeras consecuencias. Espaço Econ. Rev. Brasileira Geografia Econ. 17, 1–6. doi: 10. 4000/espacoeconomia.10142
  • Zahran, S., Peek, L., Snodgrass, J. G., Weiler, S., and Hempel, L. (2011). Economics of disaster risk, social vulnerability, and mental health resilience. Risk Analysis Int. J. 31, 1107–1119. doi: 10.1111/j.1539-6924.2010.01580.x
  • Zu, Z. Y., Jiang, M. D., Xu, P. P., Chen, W., Ni, Q. Q., Lu, G. M., et al. (2020). Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology 296, E15–E25. doi: 10.1148/radiol.2020200490