A társadalmi-területi változók szerepe a COVID-19-halálozás regionális egyenlőtlenségeiben Magyarországon

Anselin, L. 2005. Exploring Spatial Data with GeoDa: A Workbook. Available online: https://geodacenter.github.io/docs/geodaworkbook.pdf

Bambra, C., Riordan, R., Ford, J., Matthews, F., 2020. The COVID-19 pandemic and health inequalities. Journal of Epidemiology and Community, 74 (11), pp. 964–968.

Benita, F., Gasca-Sanchez, F., 2021. The main factors influencing COVID-19 spread and deaths in Mexico: A comparison between phases I and II. Applied Geography, 134. https://doi.org/10.1016/j.apgeog.2021.102523

Bíró, A., Branyiczki, R., Elek, P., 2021a. Time patterns of precautionary health behaviours during an easing phase of the COVID-19 pandemic in Europe. European Journal of Ageing 19, pp. 837–848. https://doi.org/10.1007/s10433-021-00636-4

Bíró, A., Hajdu, T., Kertesi G. , Prinz, D. 2021b. Life expectancy inequalities in Hungary over 25 years: The role of avoidable deaths. Population Studies 75 (3). pp. 443–455. https://doi.org/10.1080/00324728.2021.1877332

Blair, A., Pan, S., Subedi, R., Yang, F.-J., Aitken, N.,, Steensma, C., 2022. Social inequalities in COVID-19 mortality by area and individual-level characteristics in Canada, January to July/August 2020: Results from two national data integrations. Canada Communicable Disease Report, 48 (1), pp. 27–38.

Bogos, K., Kiss, Z., Kerpel-Fronius, A., Temesi, G., Elek, J., Madurka, I., Cselkó, Zs., Csányi, P. et al., 2021. Different trends in excess mortality in a Central European country compared to main European regions in the year of the Covid-19 pandemic (2020): a Hungarian analysis. Pathology and Oncology Research, 27: 1609774. https://doi.org/10.3389/pore.2021.1609774

Chen, J.T., Krieger, N., 2021. Revealing the unequal burden of COVID-19 by income, race/ethnicity, and household crowding: US county versus zip code analyses. J. Publ. Health Manag. Pract., 27 (1), S46–S56.

Cifuentes-Faura, J. 2021. COVID-19 mortality rate and its incidence in Latin America: Dependence on demographic and economic variables. International Journal of Environmental Research and Public Health, 18(13), 6900. https://doi.org/10.3390/ijerph18136900

Congdon, P., 2021. COVID-19 Mortality in English Neighborhoods: The Relative Role of Socioeconomic and Environmental https://doi.org/10.3390/j4020011 Factors. J, 4(2), pp. 131–146.

Cornia, Gi. A., Panicciá, R., 2000. The Transition Mortality Crisis: Evidence, Interpretation and Policy Responses. New York: Oxford University Press.

Daras, K., Alexiou, A., Rose, T. C., Buchan, I., Taylor-Robinson, D., Barr, B., 2021. How does vulnerability to COVID-19 vary between communities in England? Developing a Small Area Vulnerability Index (SAVI). Journal of Epidemiology and Community Health, 75 (8), pp. 729–734. http://dx.doi.org/10.1136/jech-2020-215227

Díaz Ramírez, M., Veneri, P., Lembcke, A. C., 2022. Where did it hit harder? Understanding the geography of excess mortality during the COVID-19 pandemic. Journal of Regional Science, 62(3), pp. 889–908. https://doi.org/10.1111/jors.12595

Edward, N., 2021. StatCan COVID-19 deaths among immigrants: Evidence from the early months of the pandemic. COVID-19: Data to Insights for a Better Canada. https://www150.statcan.gc.ca/n1/pub/45-28-0001/2021001/article/00017-eng.htm

Egri, Z., Tánczos, T., 2015. Socioeconomic and spatial correlations of the Eastern European health paradox in Hungary. Deturope, 7 (2), pp. 138–156.

Ehlert, A., 2021. The socio-economic determinants of COVID-19: A spatial analysis of German county level data. Socio-Economic Planning Sciences, 78 (May), 101083. https://doi.org/10.1016/j.seps.2021.101083

Elek, P., Fadgyas-Freyler, P., Váradi, B., Mayer, B., Zemplényi, A., 2022. Effects of lower screening activity during the COVID-19 pandemic on breast cancer patient pathways: Evidence from the age cut-off of organized screening. Health Policy, 126 (8), pp. 763–769. https://doi.org/10.1016/j.healthpol.2022.05.013

Ferenci, T., 2021. Different approaches to quantify years of life lost from COVID 19. European Journal of Epidemiology, 36, pp. 589–597. https://doi.org/10.1101/2021.05.13.21257193

Ferenci, T., Tóth, C. G., 2022. Kulcsfontosságú járványügyi paraméterek meghatározása a COVID-19 pandémia során: a többlethalálozás példája. Népegészségügy, 99 (1), pp. 42–52.

Forster, T., Kentikelenis, A., Bambra, C., 2018. Health inequalities in Europe: setting the stage for progressive policy action. Dublin: TASC.

Gombos, K., Herczeg, R., Erőss, B., Kovács, S. Zs., Uzzoli, A., Nagy, T., Kiss, S., et al., 2020. Translating scientific knowledge to government decision makers has crucial importance in the management of the COVID-19 pandemic. Population Health Management, 24 (1), pp. 35–45. https://doi.org/10.1089/pop.2020.0159

Grekousis, G., Feng, Z., Marakakis, I., Lu, Y., Wang, R., 2022a. Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach. Health and Place, 74. https://doi.org/10.1016/j.healthplace.2022.102744

Grekousis, G., Lu, Y., Wang, R., 2022b. Exploring the socioeconomic drivers of COVID-19 mortality across various spatial regimes. Geographical Journal, 18 (82), pp. 245–260. https://doi.org/10.1111/geoj.12436

Griffith, G. J., Owen, G., Manley, D., Howe, L. D., Smith, G. D., 2022. Continuing inequalities in COVID-19 mortality in England and Wales, and the changing importance of regional, over local, deprivation. Health and Place, 76: 102848. https://doi.org/10.1016/j.healthplace.2022.102848

Hajdu, T., Krekó, J., 2022. Koronavírus-esetszámok és -halálozás. In: Horn, D., Bartal A. M., (eds.): Fehér Könyv a COVID-19-járvány társadalmi-gazdasági hatásairól. KRTK KTI, Budapest. pp. 13–22.

Health at a Glance: Europe 2020. State of Health in the EU Cycle. OECD. https://www.oecdilibrary.org/sites/6cf53429-en/index.html?itemId=/content/component/6cf53429-en

Horváth, J. K., Komlós, K., Krisztalovics, K., Röst, G., Oroszi, B., 2022., A COVID-19 világjárvány első két éve Magyarországon. Népegészségügy, 99 (1), pp. 6–19.

Juhász, A., Nagy, Cs., Oroszi, B., Ádány, R., 2022. A COVID-19 megbetegedés, halálozás és oltottság alakulása és összefüggése a társadalmi-gazdasági helyzettel a 2–4. járványhullámok idején Magyarországon. Népegészségügy, 99 (1), pp. 92–104.

Kandula, S., Shaman, J., 2021. Investigating associations between COVID-19 mortality and population-level health and socioeconomic indicators in the United States: A modeling study. PLoS Medicine, 18 (7), pp. 1–17. https://doi.org/10.1371/journal.pmed.1003693

Karmakar, M., Lantz, P. M, Tipirneni, R., 2021. Association of social and demographic factors with COVID-19 incidence and death rates in the US. JAMA Network Open, 4 (1), e2036462.

Kathe, N. J., Wani, R. J., 2021. Determinants of covid-19 case fatality rate in the united states: Spatial analysis over one year of the pandemic. Journal of Health Economics and Outcomes Research, 8 (1), pp. 51–62. https://doi.org/10.36469/JHEOR.2021.22978

Kemenesi, G., Kornya, L., Tóth, G. E., Kurucz, K., Zeghbib, S., Somogyi, B. A., Zöldi, V., Urbán, P., Herczeg, R., Jakab, F., 2020. Nursing homes and the elderly regarding the COVID-19 pandemic: situation report from Hungary. GeroScience, 42, pp. 1093–1099. https://doi.org/10.1007/s11357-020-00195-z

Khobragade, A. W., Kadam, D. D. 2021. Spatial mapping and socio-demographic determinants of COVID-19 mortality in India. Journal of Family Medicine and Primary Care, 10 (11), pp. 4200–4204. https://doi.org/10.4103/jfmpc.jfmpc_903_21

Kim, B., Rundle, A. G., Goodwin, A. T. S., Morrison, C. N., Branas, C. C., El-Sadr, W., Duncan, D. T., 2021. COVID-19 testing, case, and death rates and spatial socio-demographics in New York City: An ecological analysis as of June 2020. Health and Place, 68. https://doi.org/10.1016/j.healthplace.2021.1025397

Klimovsky, D., Nemec, J., Bouckaert, G., 2021. The COVID-19 Pandemic in the Czech Republic and Slovakia. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 29 (1), https://doi.org/10.46585/sp29011320

Kopp, M., Skrabski, Á., Székely, A., Stauder, A. Williams, R., 2007. Chronic stress and social changes, socioeconomic determination of chronic stress. Annals of the New York Academy of Sciences, 1113: pp. 325–338. 10.1196/annals.1391.006

Kotov, E. A., Goncharov, R. V., Kulchitsky, Y. V., Molodtsova, V. A., Nikitin, B. V., 2022. Spatial Modelling of Key Regional-Level Factors of Covid-19 Mortality In Russia. Geography, Environment, Sustainability, 15 (2), pp. 71–83. https://doi.org/10.24057/20719388-2021-076

Kovács, L., Vánus, K., 2022. A hazai koronavírus-halálozás járási különbségeinek összefüggései az egészségügyi ellátással. Területi Statisztika, 62 (3), pp. 253–289. https://doi.org/10.15196/TS620301

Kovalcsik, T, Boros, L, Pál, V., 2021. A COVID-19-járvány első két hullámának területisége Közép-Európában. Területi Statisztika, 61(3), pp. https://www.ksh.hu/statszemle_archive/terstat/2021/2021_03/ts610301.pdf

Kulu, H., Dorey, P. 2021. Infection rates from Covid-19 in Great Britain by geographical units: A model-based estimation from mortality data. Health and Place, 67: 102460. https://doi.org/10.1016/j.healthplace.2020.102460

Levesque, J-F., Harris, M. F., Grant, R., 2013. Patient-centred access to health care: conceptualizing access at the interface of health systems and populations. International Journal for Equity in Health, 12 (18), pp. 1–9.

Lima, E. E.C.D., Gayawan, E., Baptista, E. A., Queiroz, B. L., 2021. Spatial pattern of COVID19 deaths and infections in small areas of Brazil. PLoS ONE, 16 (2). https://doi.org/10.1371/journal.pone.0246808

Mattiuzzi, C., Lippi, G., Henry, B. M., 2021. Healthcare indicators associated with COVID-19 death the European Union. Public Health, 193, pp. 41–42. https://doi.org/10.1016/j.puhe.2021.01.027

McGowan, V., Bambra, C., 2022. COVID-19 mortality and deprivation: pandemic, syndemic and endemic health inequalities. Lancet Public Health, 7 (11), pp. e966–e975. https://doi.org/10.1016/S2468-2667(22)00223-7.

Merkely, B., Szabó, A. J., Kosztin, A., Berényi, E., Sebestyén, A., Lengyel, Cs., Merkely, G., Karády, J., et al., 2020. Novel coronavirus epidemic in the Hungarian population, a cross-sectional nationwide survey to support the exit policy in Hungary. GeroScience, 42 (4), pp. 1063–1074. https://doi.org/10.1007/s11357-020-00226-9

Middya, A. I., Roy, S., 2021. Geographically varying relationships of COVID-19 mortality with different factors in India. Scientific Reports, 11 (1), pp. 1–12. https://doi.org/10.1038/s41598-021-86987-5

Morshed, M. M., Sarkar, S. K., 2021. Common factors of COVID-19 cases and deaths among the most affected 50 countries. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 15 (5), 102247. https://doi.org/10.1016/j.dsx.2021.102247

Munford, L., Khavandi, S., Bambra, C., 2022. COVID-19 and deprivation amplification: An ecological study of geographical inequalities in mortality in England. Health and Place https://doi.org/10.1016/j.healthplace.2022.102933

Muntele, I., 2022. Spatial Patterns and Drivers in the Evolution of Covid-19 Pandemic in Romania (March 2020-June 2021). Analele Universităţii Din Oradea, Seria Geografie, 32 (1), pp. 1–15. https://doi.org/10.30892/auog.321101-875

Nazia, N., Butt, Z. A., Bedard, M. L., Tang, W. C., Sehar, H., Law, J., 2022. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review. International Journal of Environmental Research and Public Health, 19 (14). https://doi.org/10.3390/ijerph19148267

Ndayishimiye, C., Sowada, C., Dyjach, P., Stasiak, A., Middleton, J., Lopes, H., DubasJakóbczyk, K., 2022. Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning-A Scoping Review. Int J Environ Res Public Health. 19 (13), 8195. https://doi.org/10.3390/ijerph19138195

Oroszi, B., Juhász, A., Nagy, C., Horváth, J. K., Komlós, K. E., Túri, G., McKee, M., Ádány, R., 2022a. Characteristics of the Third COVID-19 Pandemic Wave with Special Focus on Socioeconomic Inequalities in Morbidity, Mortality and the Uptake of COVID-19 Vaccination Hungary. Journal of Personal Medicine, 12, 388. https://doi.org/10.3390/jpm12030388

Oroszi, B., Juhász, A., Nagy, Cs., Horváth, J. K., McKee, M., Ádány, R., 2022b. A COVID-19 járvánnyal összefüggő megbetegedések és halálozások egyenlőtlen terhei, valamint összefüggésük a társadalmi-gazdasági helyzettel Magyarországon a második járványhullám alatt. Népegészségügy, 99 (1), pp. 76–91.

Ozyilmaz, A., Bayraktar, Y., Toprak, M., Isik, E., Guloglu, T., Aydin, S., Olgun, M. F., Younis, M., 2022. Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak. Healthcare (Switzerland), 10 (4). https://doi.org/10.3390/healthcare10040748

Papadopoulos, V. P., Emmanouilidou, A., Yerou, M., Panagaris, S., Souleiman, C., Varela, D., Avramidou, P., Melissopoulou, E., Pappas, C., Iliadou, Z., Piperopoulos, I., Somadis, V., Partsalidis, A., Metaxa, E., Feresiadis, I., Filippou, D., 2022. SARS-CoV-2 Vaccination Coverage and Key Public Health Indicators May Explain Disparities in COVID-19 Country Specific Case Fatality Rate Within European Economic Area. Cureus, 14 (3). https://doi.org/10.7759/cureus.22989

Páger, B., Szabó, T., Kovács S. Zs., Uzzoli A. 2021. Lakóhelytől is függhet a koronavírus-fertőzés túlélési esélye – melyek a leginkább veszélyeztetett területek a járvány idején? https://www.portfolio.hu/krtk/20210617/lakohelytol-is-fugghet-a-koronavirus-fertozestulelesi-eselye-melyek-a-leginkabb-veszelyeztetett-teruleteka-jarvany-idejen-488302

Perone, G., 2021. The determinants of COVID-19 case fatality rate (CFR) in the Italian regions and provinces: An analysis of environmental, demographic, and healthcare factors. Science of the Total Environment, 755 (142523). https://doi.org/10.1016/j.scitotenv.2020.142523

Petrovič, F., Vilinová, K., Hilbert, R., 2021. Analysis of hazard rate of municipalities in Slovakia in terms of covid-19. International Journal of Environmental Research and Public Health, 18 (17). https://doi.org/10.3390/ijerph18179082 Petti, S., Cowling, B. J., 2020. Ecologic association between influenza and COVID-19 mortality rates in European countries. Epidemiology and Infection, 148 (e209), pp. 1–7. https://doi.org/10.1017/S0950268820002125

Praharaj, S., Kaur, H., Wentz, E., 2022. The Spatial Association of Demographic and Population Health Characteristics with COVID-19 Prevalence Across Districts in India. Geographical Analysis, 0, pp. 1–23. https://doi.org/10.1111/gean.12336

Rizaldi, A. A., Xie, S., Hubbard, R. A., Himes, B. E., 2022. Neighborhood Characteristics and COVID-19 Incidence and Mortality in Southeastern Pennsylvania. AMIA Annu Symp Proc., 2022: 35854746. pp. 422–431.

Roffia, P., Bucciol, A., Hashlamoun, S. 2023. Determinants of life expectancy at birth: a longitudinal study on OECD countries. International Journal of Health Economics and Management, https://doi.org/10.1007/s10754-022-09338-5

Röst, G., Bartha, F. A., Bogya, N., Boldog. P., Dénes, A., Ferenci, T., Horváth, K.J., Juhász, A., Nagy, Cs., Tekeli, T., Vizi. Zs., Oroszi, B., 2020. Early phase of the COVID-19 outbreak in Hungary and post-lockdown scenarios. Viruses, 12 (7), https://doi.org/10.3390/v12070708

Sannigrahi, S., Pilla, F., Basu, B., Basu, A. S., Molter, A., 2020. Examining the association between socio-demographic composition and COVID-19 fatalities in the European region using spatial regression approach. Sustainable Cities and Society, 62. https://doi.org/10.1016/j.scs.2020.102418

Santos, V. S., Siqueira, T. S., Cubas Atienzar, A. I., da Rocha Santos, M. A. R., Vieira, S. C. F., et al. 2022. Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: A nationwide population-based ecological study. The Lancet Regional Health – Americas, 13: 100311. https://doi.org/10.1016/j.lana.2022.100311

Sobczak, M., Pawliczak, R. 2022., COVID-19 mortality rate determinants in selected Eastern European countries. BMC Public Health, 22: 2088 https://doi.org/10.1186/s12889-02214567-x

Stier, A. J., Berman, M. G., Bettencourt, L. M. A., 2021. COVID-19 attack rate increases with city size. npj. Urban Sustain. 1: 31. https://doi.org/10.1038/s42949-021-00030-0

Sun, Y., Hu, X., Xie, J., 2021. Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England. Science of the Total Environment, 758. https://doi.org/10.1016/j.scitotenv.2020.143595

Tang, I. W., Vieira, V. M., Shearer, E., 2022. Effect of socioeconomic factors during the early COVID-19 pandemic: a spatial analysis. BMC Public Health, 22(1), pp. 1–9. https://doi.org/10.1186/s12889-022-13618-7

Tchicaya, A., Lorentz, N., Leduc, K., de Lanchy, G., 2021. COVID-19 mortality with regard to healthcare services availability, health risks, and socio-spatial factors at department level in France: A spatial cross-sectional analysis. PLoS One. 16(9), e0256857. https://doi.org/10.1371/journal.pone.0256857

Tóth, C. G., 2022. Narrowing the gap in regional and age-specific excess mortality during the COVID-19 in Hungary. Eastern Journal of European Studies, 13(1), pp. 185-207. https://doi.org/10.47743/ejes-2022-0109

Urban, R. C., Nakada, L. Y. K., 2021. GIS-based spatial modelling of COVID-19 death incidence in São Paulo, Brazil. Environment and Urbanization, 33 (1), pp. 229–238. https://doi.org/10.1177/0956247820963962

Urbanovics, A., Sasvári, P., Teleki, B., 2021. Evaluation of the COVID-19 regulations in the Visegrad group. Transforming Government: People, Process and Policy, 15: pp. 645–657. https://www.emerald.com/insight/content/doi/10.1108/TG-08-2020-0228/full/html

Uzzoli, A., Egri, Z., Szilágyi, D., Pál, V., 2020. Does better availability mean better accessibility? Spatial inequalities in the care of acute myocardial infarction in Hungary. Hungarian Geographical Bulletin, 69 (4), pp. 401–418.

Uzzoli, A., Kovács, S. Zs., Fábián, A., Páger, B., Szabó, T., 2021. Spatial Analysis of the COVID19 Pandemic in Hungary – Changing Epidemic Waves in Time and Space. Region – Journal of ERSA, 8 (2), https://doi.org/10.18335/region.v8i2.343

Vokó, Z., Kiss, Z., Surján, G., Surján, O., Barcza, Z., Pályi, B., Formanek-Balku, E., Molnár, G. et al., 2021. Nationwide effectiveness of five SARS-CoV-2 vaccines in Hungary – The HUN-VE study. Clinical Microbiology and Infection, 28 (3), pp. 398–404. https://doi.org/10.1016/j.cmi.2021.11.011

Vokó, Z., Kiss, Z., Surján, G., Surján, O., Barcza, Z., Wittmann, I., Molnár, G. A., Nagy, D., Müller, V. et al., 2022. Effectiveness and Waning of Protection With Different SARS-CoV2 Primary and Booster Vaccines During the Delta Pandemic Wave in 2021 in Hungary (HUN-VE 3 Study). Frontiers in Immunology, 2022/7. https://doi.org/10.3389/fimmu.2022.919408

Wali, B., Frank, L. D., 2021. Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel. Health and Place, 71: 102659. https://doi.org/10.1016/j.healthplace.2021.102659

World Health Organization Regional Office for Europe, 2000. Highlights on health in Hungary. E72374. Wrigley-Field, E., Garcia, S., Leider, J. P., Van Riper., D., 2021. COVID-19 Mortality at the Neighborhood Level: Racial and Ethnic Inequalities Deepened in Minnesota in 2020. Healt Affairs, 40 (10), https://doi.org/10.1377/hlthaff.2021.00365

Yu, H., Lao, X., Gu, H., Zhao, Z., He, H. 2022. Understanding the Geography of COVID-19 Case Fatality Rates in China: A Spatial Autoregressive Probit-Log Linear Hurdle Analysis. Frontiers in Public Health, 10: 751768. https://doi.org/10.3389/fpubh.2022.751768