Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system

Abstract Background International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non...

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Veröffentlicht in:European journal of public health 2021-02, Vol.31 (1), p.37-44
Hauptverfasser: Fabiani, Massimo, Mateo-Urdiales, Alberto, Andrianou, Xanthi, Bella, Antonino, Del Manso, Martina, Bellino, Stefania, Rota, Maria C, Boros, Stefano, Vescio, Maria F, D'Ancona, Fortunato P, Siddu, Andrea, Punzo, Ornella, Filia, Antonietta, Brusaferro, Silvio, Rezza, Giovanni, Dente, Maria G, Declich, Silvia, Pezzotti, Patrizio, Riccardo, Flavia
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container_issue 1
container_start_page 37
container_title European journal of public health
container_volume 31
creator Fabiani, Massimo
Mateo-Urdiales, Alberto
Andrianou, Xanthi
Bella, Antonino
Del Manso, Martina
Bellino, Stefania
Rota, Maria C
Boros, Stefano
Vescio, Maria F
D'Ancona, Fortunato P
Siddu, Andrea
Punzo, Ornella
Filia, Antonietta
Brusaferro, Silvio
Rezza, Giovanni
Dente, Maria G
Declich, Silvia
Pezzotti, Patrizio
Riccardo, Flavia
description Abstract Background International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees. Methods We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis. Results We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33–1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07–1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01–1.75). Conclusions A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.
doi_str_mv 10.1093/eurpub/ckaa249
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fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7851886</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A775149720</galeid><oup_id>10.1093/eurpub/ckaa249</oup_id><sourcerecordid>A775149720</sourcerecordid><originalsourceid>FETCH-LOGICAL-c519t-588ae7351a92658304a87d425d1c8b2245402a8d49628a17fca3f280c41daf323</originalsourceid><addsrcrecordid>eNqFkc9rFDEUx4MotlavHiXgycO0-TmTXISyre1CoRcVb-E1k-ymzkzWJLPQ_94su60KBckhj5fP98t7-SL0npJTSjQ_c3PazHdn9icAE_oFOqaiFQ1vyY-XtaaENpS17Ai9yfmeECI7xV6jI84FbZXUx2h7uQm9G0Mc4ipYGLBdQwJbXAq5BJtx9Hhx-3150VCNLWSXcZjwFKdmWWAIUGsoIU4w5NotwQfX4xJxWTv8SOQ5bV0YBpisw_khFze-Ra98lbh3h_sEffty-XVx3dzcXi0X5zeNlVSXRioFruOSgmatVJwIUF0vmOypVXeMCSkIA9UL3TIFtPMWuGeKWEF78JzxE_R571s_aXS9dVNJMJhNCiOkBxMhmH9fprA2q7g1nZJUqbYafDwYpPhrdrmY-zin3bqGKSmUFpTRP9QKBmfC5GM1s2PI1px3naRCd4xU6vQZqp5dADZOzofaf05gU8w5Of80OCVmF7_Zx28O8VfBh7_XfcIf867Apz0Q583_zH4DGJe8JA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2854894121</pqid></control><display><type>article</type><title>Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system</title><source>MEDLINE</source><source>PAIS Index</source><source>Access via Oxford University Press (Open Access Collection)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Fabiani, Massimo ; Mateo-Urdiales, Alberto ; Andrianou, Xanthi ; Bella, Antonino ; Del Manso, Martina ; Bellino, Stefania ; Rota, Maria C ; Boros, Stefano ; Vescio, Maria F ; D'Ancona, Fortunato P ; Siddu, Andrea ; Punzo, Ornella ; Filia, Antonietta ; Brusaferro, Silvio ; Rezza, Giovanni ; Dente, Maria G ; Declich, Silvia ; Pezzotti, Patrizio ; Riccardo, Flavia</creator><creatorcontrib>Fabiani, Massimo ; Mateo-Urdiales, Alberto ; Andrianou, Xanthi ; Bella, Antonino ; Del Manso, Martina ; Bellino, Stefania ; Rota, Maria C ; Boros, Stefano ; Vescio, Maria F ; D'Ancona, Fortunato P ; Siddu, Andrea ; Punzo, Ornella ; Filia, Antonietta ; Brusaferro, Silvio ; Rezza, Giovanni ; Dente, Maria G ; Declich, Silvia ; Pezzotti, Patrizio ; Riccardo, Flavia ; COVID-19 Working Group ; for the COVID-19 Working Group</creatorcontrib><description>Abstract Background International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees. Methods We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis. Results We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33–1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07–1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01–1.75). Conclusions A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/ckaa249</identifier><identifier>PMID: 33416859</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Citizenship ; Comorbidity ; COVID-19 ; COVID-19 - epidemiology ; Delayed Diagnosis ; Delivery of Health Care - organization &amp; administration ; Diagnosis ; Disadvantaged ; Disadvantaged groups ; Disease transmission ; Economic analysis ; Epidemiology ; Female ; Health aspects ; Health care access ; Health Services Accessibility ; Healthcare Disparities ; Hospitalization - statistics &amp; numerical data ; Human Development Index ; Humans ; Impact analysis ; Intensive Care Units - statistics &amp; numerical data ; Italy - epidemiology ; Male ; Middle Aged ; Migrant labor ; Migrant workers ; Migrants ; Minority groups ; Morbidity ; Pandemics ; Public health ; Refugees ; Refugees - psychology ; Refugees - statistics &amp; numerical data ; Regression analysis ; Regression models ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Statistical analysis ; Statistics ; Surveillance ; Surveillance systems ; Transients and Migrants - psychology ; Transients and Migrants - statistics &amp; numerical data ; Travelers ; Travellers ; Viral diseases ; Working conditions</subject><ispartof>European journal of public health, 2021-02, Vol.31 (1), p.37-44</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-588ae7351a92658304a87d425d1c8b2245402a8d49628a17fca3f280c41daf323</citedby><cites>FETCH-LOGICAL-c519t-588ae7351a92658304a87d425d1c8b2245402a8d49628a17fca3f280c41daf323</cites><orcidid>0000-0003-3077-8174 ; 0000-0002-5893-7117</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851886/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851886/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,1604,27866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33416859$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fabiani, Massimo</creatorcontrib><creatorcontrib>Mateo-Urdiales, Alberto</creatorcontrib><creatorcontrib>Andrianou, Xanthi</creatorcontrib><creatorcontrib>Bella, Antonino</creatorcontrib><creatorcontrib>Del Manso, Martina</creatorcontrib><creatorcontrib>Bellino, Stefania</creatorcontrib><creatorcontrib>Rota, Maria C</creatorcontrib><creatorcontrib>Boros, Stefano</creatorcontrib><creatorcontrib>Vescio, Maria F</creatorcontrib><creatorcontrib>D'Ancona, Fortunato P</creatorcontrib><creatorcontrib>Siddu, Andrea</creatorcontrib><creatorcontrib>Punzo, Ornella</creatorcontrib><creatorcontrib>Filia, Antonietta</creatorcontrib><creatorcontrib>Brusaferro, Silvio</creatorcontrib><creatorcontrib>Rezza, Giovanni</creatorcontrib><creatorcontrib>Dente, Maria G</creatorcontrib><creatorcontrib>Declich, Silvia</creatorcontrib><creatorcontrib>Pezzotti, Patrizio</creatorcontrib><creatorcontrib>Riccardo, Flavia</creatorcontrib><creatorcontrib>COVID-19 Working Group</creatorcontrib><creatorcontrib>for the COVID-19 Working Group</creatorcontrib><title>Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system</title><title>European journal of public health</title><addtitle>Eur J Public Health</addtitle><description>Abstract Background International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees. Methods We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis. Results We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33–1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07–1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01–1.75). Conclusions A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.</description><subject>Adult</subject><subject>Citizenship</subject><subject>Comorbidity</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Delayed Diagnosis</subject><subject>Delivery of Health Care - organization &amp; administration</subject><subject>Diagnosis</subject><subject>Disadvantaged</subject><subject>Disadvantaged groups</subject><subject>Disease transmission</subject><subject>Economic analysis</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health care access</subject><subject>Health Services Accessibility</subject><subject>Healthcare Disparities</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Human Development Index</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Intensive Care Units - statistics &amp; numerical data</subject><subject>Italy - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Migrant labor</subject><subject>Migrant workers</subject><subject>Migrants</subject><subject>Minority groups</subject><subject>Morbidity</subject><subject>Pandemics</subject><subject>Public health</subject><subject>Refugees</subject><subject>Refugees - psychology</subject><subject>Refugees - statistics &amp; numerical data</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Surveillance</subject><subject>Surveillance systems</subject><subject>Transients and Migrants - psychology</subject><subject>Transients and Migrants - statistics &amp; numerical data</subject><subject>Travelers</subject><subject>Travellers</subject><subject>Viral diseases</subject><subject>Working conditions</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><recordid>eNqFkc9rFDEUx4MotlavHiXgycO0-TmTXISyre1CoRcVb-E1k-ymzkzWJLPQ_94su60KBckhj5fP98t7-SL0npJTSjQ_c3PazHdn9icAE_oFOqaiFQ1vyY-XtaaENpS17Ai9yfmeECI7xV6jI84FbZXUx2h7uQm9G0Mc4ipYGLBdQwJbXAq5BJtx9Hhx-3150VCNLWSXcZjwFKdmWWAIUGsoIU4w5NotwQfX4xJxWTv8SOQ5bV0YBpisw_khFze-Ra98lbh3h_sEffty-XVx3dzcXi0X5zeNlVSXRioFruOSgmatVJwIUF0vmOypVXeMCSkIA9UL3TIFtPMWuGeKWEF78JzxE_R571s_aXS9dVNJMJhNCiOkBxMhmH9fprA2q7g1nZJUqbYafDwYpPhrdrmY-zin3bqGKSmUFpTRP9QKBmfC5GM1s2PI1px3naRCd4xU6vQZqp5dADZOzofaf05gU8w5Of80OCVmF7_Zx28O8VfBh7_XfcIf867Apz0Q583_zH4DGJe8JA</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Fabiani, Massimo</creator><creator>Mateo-Urdiales, Alberto</creator><creator>Andrianou, Xanthi</creator><creator>Bella, Antonino</creator><creator>Del Manso, Martina</creator><creator>Bellino, Stefania</creator><creator>Rota, Maria C</creator><creator>Boros, Stefano</creator><creator>Vescio, Maria F</creator><creator>D'Ancona, Fortunato P</creator><creator>Siddu, Andrea</creator><creator>Punzo, Ornella</creator><creator>Filia, Antonietta</creator><creator>Brusaferro, Silvio</creator><creator>Rezza, Giovanni</creator><creator>Dente, Maria G</creator><creator>Declich, Silvia</creator><creator>Pezzotti, Patrizio</creator><creator>Riccardo, Flavia</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3077-8174</orcidid><orcidid>https://orcid.org/0000-0002-5893-7117</orcidid></search><sort><creationdate>20210201</creationdate><title>Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system</title><author>Fabiani, Massimo ; Mateo-Urdiales, Alberto ; Andrianou, Xanthi ; Bella, Antonino ; Del Manso, Martina ; Bellino, Stefania ; Rota, Maria C ; Boros, Stefano ; Vescio, Maria F ; D'Ancona, Fortunato P ; Siddu, Andrea ; Punzo, Ornella ; Filia, Antonietta ; Brusaferro, Silvio ; Rezza, Giovanni ; Dente, Maria G ; Declich, Silvia ; Pezzotti, Patrizio ; Riccardo, Flavia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-588ae7351a92658304a87d425d1c8b2245402a8d49628a17fca3f280c41daf323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Citizenship</topic><topic>Comorbidity</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Delayed Diagnosis</topic><topic>Delivery of Health Care - organization &amp; administration</topic><topic>Diagnosis</topic><topic>Disadvantaged</topic><topic>Disadvantaged groups</topic><topic>Disease transmission</topic><topic>Economic analysis</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health care access</topic><topic>Health Services Accessibility</topic><topic>Healthcare Disparities</topic><topic>Hospitalization - statistics &amp; numerical data</topic><topic>Human Development Index</topic><topic>Humans</topic><topic>Impact analysis</topic><topic>Intensive Care Units - statistics &amp; numerical data</topic><topic>Italy - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Migrant labor</topic><topic>Migrant workers</topic><topic>Migrants</topic><topic>Minority groups</topic><topic>Morbidity</topic><topic>Pandemics</topic><topic>Public health</topic><topic>Refugees</topic><topic>Refugees - psychology</topic><topic>Refugees - statistics &amp; numerical data</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Surveillance</topic><topic>Surveillance systems</topic><topic>Transients and Migrants - psychology</topic><topic>Transients and Migrants - statistics &amp; numerical data</topic><topic>Travelers</topic><topic>Travellers</topic><topic>Viral diseases</topic><topic>Working conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fabiani, Massimo</creatorcontrib><creatorcontrib>Mateo-Urdiales, Alberto</creatorcontrib><creatorcontrib>Andrianou, Xanthi</creatorcontrib><creatorcontrib>Bella, Antonino</creatorcontrib><creatorcontrib>Del Manso, Martina</creatorcontrib><creatorcontrib>Bellino, Stefania</creatorcontrib><creatorcontrib>Rota, Maria C</creatorcontrib><creatorcontrib>Boros, Stefano</creatorcontrib><creatorcontrib>Vescio, Maria F</creatorcontrib><creatorcontrib>D'Ancona, Fortunato P</creatorcontrib><creatorcontrib>Siddu, Andrea</creatorcontrib><creatorcontrib>Punzo, Ornella</creatorcontrib><creatorcontrib>Filia, Antonietta</creatorcontrib><creatorcontrib>Brusaferro, Silvio</creatorcontrib><creatorcontrib>Rezza, Giovanni</creatorcontrib><creatorcontrib>Dente, Maria G</creatorcontrib><creatorcontrib>Declich, Silvia</creatorcontrib><creatorcontrib>Pezzotti, Patrizio</creatorcontrib><creatorcontrib>Riccardo, Flavia</creatorcontrib><creatorcontrib>COVID-19 Working Group</creatorcontrib><creatorcontrib>for the COVID-19 Working Group</creatorcontrib><collection>Access via Oxford University Press (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fabiani, Massimo</au><au>Mateo-Urdiales, Alberto</au><au>Andrianou, Xanthi</au><au>Bella, Antonino</au><au>Del Manso, Martina</au><au>Bellino, Stefania</au><au>Rota, Maria C</au><au>Boros, Stefano</au><au>Vescio, Maria F</au><au>D'Ancona, Fortunato P</au><au>Siddu, Andrea</au><au>Punzo, Ornella</au><au>Filia, Antonietta</au><au>Brusaferro, Silvio</au><au>Rezza, Giovanni</au><au>Dente, Maria G</au><au>Declich, Silvia</au><au>Pezzotti, Patrizio</au><au>Riccardo, Flavia</au><aucorp>COVID-19 Working Group</aucorp><aucorp>for the COVID-19 Working Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system</atitle><jtitle>European journal of public health</jtitle><addtitle>Eur J Public Health</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>31</volume><issue>1</issue><spage>37</spage><epage>44</epage><pages>37-44</pages><issn>1101-1262</issn><eissn>1464-360X</eissn><abstract>Abstract Background International literature suggests that disadvantaged groups are at higher risk of morbidity and mortality from SARS-CoV-2 infection due to poorer living/working conditions and barriers to healthcare access. Yet, to date, there is no evidence of this disproportionate impact on non-national individuals, including economic migrants, short-term travellers and refugees. Methods We analyzed data from the Italian surveillance system of all COVID-19 laboratory-confirmed cases tested positive from the beginning of the outbreak (20th of February) to the 19th of July 2020. We used multilevel negative-binomial regression models to compare the case fatality and the rate of admission to hospital and intensive care unit (ICU) between Italian and non-Italian nationals. The analysis was adjusted for differences in demographic characteristics, pre-existing comorbidities, and period of diagnosis. Results We analyzed 213 180 COVID-19 cases, including 15 974 (7.5%) non-Italian nationals. We found that, compared to Italian cases, non-Italian cases were diagnosed at a later date and were more likely to be hospitalized {[adjusted rate ratio (ARR)=1.39, 95% confidence interval (CI): 1.33–1.44]} and admitted to ICU (ARR=1.19, 95% CI: 1.07–1.32), with differences being more pronounced in those coming from countries with lower human development index (HDI). We also observed an increased risk of death in non-Italian cases from low-HDI countries (ARR=1.32, 95% CI: 1.01–1.75). Conclusions A delayed diagnosis in non-Italian cases could explain their worse outcomes compared to Italian cases. Ensuring early access to diagnosis and treatment to non-Italians could facilitate the control of SARS-CoV-2 transmission and improve health outcomes in all people living in Italy, regardless of nationality.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33416859</pmid><doi>10.1093/eurpub/ckaa249</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3077-8174</orcidid><orcidid>https://orcid.org/0000-0002-5893-7117</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; PAIS Index; Access via Oxford University Press (Open Access Collection); EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects Adult
Citizenship
Comorbidity
COVID-19
COVID-19 - epidemiology
Delayed Diagnosis
Delivery of Health Care - organization & administration
Diagnosis
Disadvantaged
Disadvantaged groups
Disease transmission
Economic analysis
Epidemiology
Female
Health aspects
Health care access
Health Services Accessibility
Healthcare Disparities
Hospitalization - statistics & numerical data
Human Development Index
Humans
Impact analysis
Intensive Care Units - statistics & numerical data
Italy - epidemiology
Male
Middle Aged
Migrant labor
Migrant workers
Migrants
Minority groups
Morbidity
Pandemics
Public health
Refugees
Refugees - psychology
Refugees - statistics & numerical data
Regression analysis
Regression models
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
Statistical analysis
Statistics
Surveillance
Surveillance systems
Transients and Migrants - psychology
Transients and Migrants - statistics & numerical data
Travelers
Travellers
Viral diseases
Working conditions
title Epidemiological characteristics of COVID-19 cases in non-Italian nationals notified to the Italian surveillance system
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