Inequality, public health, and COVID-19 : an analysis of the Spanish case by municipalities

Gespeichert in:

Autor*in:	Amate-Fortes, Ignacio [verfasserIn] Guarnido-Rueda, Almudena [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	COVID-19 Health centers Income inequality Population density Unemployment

Übergeordnetes Werk:	Enthalten in: The European journal of health economics - Berlin : Springer, 2001, 24(2023), 1 vom: Feb., Seite 99-110
Übergeordnetes Werk:	volume:24 ; year:2023 ; number:1 ; month:02 ; pages:99-110

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1007/s10198-022-01455-9

Katalog-ID:	1838149376

Internformat


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982			\|2 26 \|1 00 \|x DE-206 \|b The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.

Indexfelder

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publishDate	2023
allfields	10.1007/s10198-022-01455-9 doi (DE-627)1838149376 (DE-599)KXP1838149376 (DE-He213)s10198-022-01455-9-e DE-627 ger DE-627 rda eng Amate-Fortes, Ignacio verfasserin (DE-588)125670962X (DE-627)1800738919 (DE-576)281022720 aut Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206 Guarnido-Rueda, Almudena verfasserin (DE-588)1016329768 (DE-627)670277401 (DE-576)351816836 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2023), 1 vom: Feb., Seite 99-110 Online-Ressource (DE-627)320494462 (DE-600)2011428-X (DE-576)09670425X 1618-7601 nnns volume:24 year:2023 number:1 month:02 pages:99-110 https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf Verlag kostenfrei https://doi.org/10.1007/s10198-022-01455-9 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 24 2023 1 2 99-110 26 01 0206 428323057X x1z 03-03-23 2403 01 DE-LFER 431363990X 00 --%%-- --%%-- n --%%-- l01 25-04-23 2403 01 DE-LFER https://doi.org/10.1007/s10198-022-01455-9 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf 26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
spelling	10.1007/s10198-022-01455-9 doi (DE-627)1838149376 (DE-599)KXP1838149376 (DE-He213)s10198-022-01455-9-e DE-627 ger DE-627 rda eng Amate-Fortes, Ignacio verfasserin (DE-588)125670962X (DE-627)1800738919 (DE-576)281022720 aut Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206 Guarnido-Rueda, Almudena verfasserin (DE-588)1016329768 (DE-627)670277401 (DE-576)351816836 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2023), 1 vom: Feb., Seite 99-110 Online-Ressource (DE-627)320494462 (DE-600)2011428-X (DE-576)09670425X 1618-7601 nnns volume:24 year:2023 number:1 month:02 pages:99-110 https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf Verlag kostenfrei https://doi.org/10.1007/s10198-022-01455-9 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 24 2023 1 2 99-110 26 01 0206 428323057X x1z 03-03-23 2403 01 DE-LFER 431363990X 00 --%%-- --%%-- n --%%-- l01 25-04-23 2403 01 DE-LFER https://doi.org/10.1007/s10198-022-01455-9 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf 26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
allfields_unstemmed	10.1007/s10198-022-01455-9 doi (DE-627)1838149376 (DE-599)KXP1838149376 (DE-He213)s10198-022-01455-9-e DE-627 ger DE-627 rda eng Amate-Fortes, Ignacio verfasserin (DE-588)125670962X (DE-627)1800738919 (DE-576)281022720 aut Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206 Guarnido-Rueda, Almudena verfasserin (DE-588)1016329768 (DE-627)670277401 (DE-576)351816836 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2023), 1 vom: Feb., Seite 99-110 Online-Ressource (DE-627)320494462 (DE-600)2011428-X (DE-576)09670425X 1618-7601 nnns volume:24 year:2023 number:1 month:02 pages:99-110 https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf Verlag kostenfrei https://doi.org/10.1007/s10198-022-01455-9 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 24 2023 1 2 99-110 26 01 0206 428323057X x1z 03-03-23 2403 01 DE-LFER 431363990X 00 --%%-- --%%-- n --%%-- l01 25-04-23 2403 01 DE-LFER https://doi.org/10.1007/s10198-022-01455-9 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf 26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
allfieldsGer	10.1007/s10198-022-01455-9 doi (DE-627)1838149376 (DE-599)KXP1838149376 (DE-He213)s10198-022-01455-9-e DE-627 ger DE-627 rda eng Amate-Fortes, Ignacio verfasserin (DE-588)125670962X (DE-627)1800738919 (DE-576)281022720 aut Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206 Guarnido-Rueda, Almudena verfasserin (DE-588)1016329768 (DE-627)670277401 (DE-576)351816836 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2023), 1 vom: Feb., Seite 99-110 Online-Ressource (DE-627)320494462 (DE-600)2011428-X (DE-576)09670425X 1618-7601 nnns volume:24 year:2023 number:1 month:02 pages:99-110 https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf Verlag kostenfrei https://doi.org/10.1007/s10198-022-01455-9 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 24 2023 1 2 99-110 26 01 0206 428323057X x1z 03-03-23 2403 01 DE-LFER 431363990X 00 --%%-- --%%-- n --%%-- l01 25-04-23 2403 01 DE-LFER https://doi.org/10.1007/s10198-022-01455-9 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf 26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
allfieldsSound	10.1007/s10198-022-01455-9 doi (DE-627)1838149376 (DE-599)KXP1838149376 (DE-He213)s10198-022-01455-9-e DE-627 ger DE-627 rda eng Amate-Fortes, Ignacio verfasserin (DE-588)125670962X (DE-627)1800738919 (DE-576)281022720 aut Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206 Guarnido-Rueda, Almudena verfasserin (DE-588)1016329768 (DE-627)670277401 (DE-576)351816836 aut Enthalten in The European journal of health economics Berlin : Springer, 2001 24(2023), 1 vom: Feb., Seite 99-110 Online-Ressource (DE-627)320494462 (DE-600)2011428-X (DE-576)09670425X 1618-7601 nnns volume:24 year:2023 number:1 month:02 pages:99-110 https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf Verlag kostenfrei https://doi.org/10.1007/s10198-022-01455-9 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2941 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 24 2023 1 2 99-110 26 01 0206 428323057X x1z 03-03-23 2403 01 DE-LFER 431363990X 00 --%%-- --%%-- n --%%-- l01 25-04-23 2403 01 DE-LFER https://doi.org/10.1007/s10198-022-01455-9 2403 01 DE-LFER https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf 26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.
language	English
source	Enthalten in The European journal of health economics 24(2023), 1 vom: Feb., Seite 99-110 volume:24 year:2023 number:1 month:02 pages:99-110
sourceStr	Enthalten in The European journal of health economics 24(2023), 1 vom: Feb., Seite 99-110 volume:24 year:2023 number:1 month:02 pages:99-110
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topic_facet	COVID-19 Health centers Income inequality Population density Unemployment
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container_title	The European journal of health economics
authorswithroles_txt_mv	Amate-Fortes, Ignacio @@aut@@ Guarnido-Rueda, Almudena @@aut@@
publishDateDaySort_date	2023-02-01T00:00:00Z
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author	Amate-Fortes, Ignacio
spellingShingle	Amate-Fortes, Ignacio misc COVID-19 misc Health centers misc Income inequality misc Population density misc Unemployment Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities
authorStr	Amate-Fortes, Ignacio
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topic_title	26 00 DE-206 The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda COVID-19 (dpeaa)DE-206 Health centers (dpeaa)DE-206 Income inequality (dpeaa)DE-206 Population density (dpeaa)DE-206 Unemployment (dpeaa)DE-206
topic	misc COVID-19 misc Health centers misc Income inequality misc Population density misc Unemployment
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title	Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities
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title_full	Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities Ignacio Amate-Fortes, Almudena Guarnido-Rueda
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author-letter	Amate-Fortes, Ignacio
title_sub	an analysis of the Spanish case by municipalities
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title_sort	inequality, public health, and covid-19an analysis of the spanish case by municipalities
title_auth	Inequality, public health, and COVID-19 an analysis of the Spanish case by municipalities
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container_issue	1
title_short	Inequality, public health, and COVID-19
url	https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf https://doi.org/10.1007/s10198-022-01455-9
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doi_str	10.1007/s10198-022-01455-9
callnumber-a	--%%--
up_date	2024-07-04T19:01:42.429Z
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ind1=" " ind2=" "><subfield code="a">GBV_ILN_4346</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4392</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">24</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="c">2</subfield><subfield code="h">99-110</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">428323057X</subfield><subfield code="y">x1z</subfield><subfield code="z">03-03-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">431363990X</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">25-04-23</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://doi.org/10.1007/s10198-022-01455-9</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://link.springer.com/content/pdf/10.1007/s10198-022-01455-9.pdf</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">The main objective of this work is to analyze whether inequality in income distribution has an effect on COVID-19 incidence and mortality rates during the first wave of the pandemic, and how the public health system mitigates these effects. To this end, the case of 819 Spanish municipalities is used, and a linear cross-sectional model is estimated. The results obtained allow us to conclude that a higher level of income inequality generates a higher rate of infections but not deaths, highlighting the importance of the Spanish National Health Service, which does not distinguish by income level. Likewise, early detection of infection measured by the number of primary care centers per 100,000 inhabitants, access to health care for the treatment of the most severe cases, unemployment as a proxy for job insecurity, climatic conditions, and population density are also important factors that determine how COVID-19 affects the population.</subfield></datafield></record></collection>
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Inequality, public health, and COVID-19 : an analysis of the Spanish case by municipalities

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