Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study

Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collect...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sandrine Loubiere [verfasserIn] Aurelie Tinland [verfasserIn] Pascal Auquier [verfasserIn] Jordi Landier [verfasserIn] Josiane Warszawski [verfasserIn] Emilie Mosnier [verfasserIn] Elisabetta Monfardini [verfasserIn] Agathe Alibert [verfasserIn] Laeticia Ninoves [verfasserIn] Thomas Bosetti [verfasserIn] Marine Mosnier [verfasserIn] Stephanie Nguengang Wakap [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Übergeordnetes Werk:	In: BMJ Open - BMJ Publishing Group, 2011, 13(2023), 2
Übergeordnetes Werk:	volume:13 ; year:2023 ; number:2

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1136/bmjopen-2022-065734

Katalog-ID:	DOAJ079942512

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ079942512
003	DE-627
005	20230410113709.0
007	cr uuu---uuuuu
008	230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1136/bmjopen-2022-065734 \|2 doi
035			\|a (DE-627)DOAJ079942512
035			\|a (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	0		\|a Sandrine Loubiere \|e verfasserin \|4 aut
245	1	0	\|a Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
264		1	\|c 2023
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131
653		0	\|a Medicine
653		0	\|a R
700	0		\|a Aurelie Tinland \|e verfasserin \|4 aut
700	0		\|a Pascal Auquier \|e verfasserin \|4 aut
700	0		\|a Jordi Landier \|e verfasserin \|4 aut
700	0		\|a Josiane Warszawski \|e verfasserin \|4 aut
700	0		\|a Emilie Mosnier \|e verfasserin \|4 aut
700	0		\|a Elisabetta Monfardini \|e verfasserin \|4 aut
700	0		\|a Agathe Alibert \|e verfasserin \|4 aut
700	0		\|a Laeticia Ninoves \|e verfasserin \|4 aut
700	0		\|a Thomas Bosetti \|e verfasserin \|4 aut
700	0		\|a Marine Mosnier \|e verfasserin \|4 aut
700	0		\|a Stephanie Nguengang Wakap \|e verfasserin \|4 aut
773	0	8	\|i In \|t BMJ Open \|d BMJ Publishing Group, 2011 \|g 13(2023), 2 \|w (DE-627)654747075 \|w (DE-600)2599832-8 \|x 20446055 \|7 nnns
773	1	8	\|g volume:13 \|g year:2023 \|g number:2
856	4	0	\|u https://doi.org/10.1136/bmjopen-2022-065734 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 \|z kostenfrei
856	4	0	\|u https://bmjopen.bmj.com/content/13/2/e065734.full \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2044-6055 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_375
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 13 \|j 2023 \|e 2

Indexfelder

author_variant	s l sl a t at p a pa j l jl j w jw e m em e m em a a aa l n ln t b tb m m mm s n w snw
matchkey_str	article:20446055:2023----::uuaieniecosrcvifcinihnhhmlsppltoisgtf
hierarchy_sort_str	2023
publishDate	2023
allfields	10.1136/bmjopen-2022-065734 doi (DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56 DE-627 ger DE-627 rakwb eng Sandrine Loubiere verfasserin aut Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131 Medicine R Aurelie Tinland verfasserin aut Pascal Auquier verfasserin aut Jordi Landier verfasserin aut Josiane Warszawski verfasserin aut Emilie Mosnier verfasserin aut Elisabetta Monfardini verfasserin aut Agathe Alibert verfasserin aut Laeticia Ninoves verfasserin aut Thomas Bosetti verfasserin aut Marine Mosnier verfasserin aut Stephanie Nguengang Wakap verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 2 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:2 https://doi.org/10.1136/bmjopen-2022-065734 kostenfrei https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 kostenfrei https://bmjopen.bmj.com/content/13/2/e065734.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 2
spelling	10.1136/bmjopen-2022-065734 doi (DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56 DE-627 ger DE-627 rakwb eng Sandrine Loubiere verfasserin aut Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131 Medicine R Aurelie Tinland verfasserin aut Pascal Auquier verfasserin aut Jordi Landier verfasserin aut Josiane Warszawski verfasserin aut Emilie Mosnier verfasserin aut Elisabetta Monfardini verfasserin aut Agathe Alibert verfasserin aut Laeticia Ninoves verfasserin aut Thomas Bosetti verfasserin aut Marine Mosnier verfasserin aut Stephanie Nguengang Wakap verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 2 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:2 https://doi.org/10.1136/bmjopen-2022-065734 kostenfrei https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 kostenfrei https://bmjopen.bmj.com/content/13/2/e065734.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 2
allfields_unstemmed	10.1136/bmjopen-2022-065734 doi (DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56 DE-627 ger DE-627 rakwb eng Sandrine Loubiere verfasserin aut Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131 Medicine R Aurelie Tinland verfasserin aut Pascal Auquier verfasserin aut Jordi Landier verfasserin aut Josiane Warszawski verfasserin aut Emilie Mosnier verfasserin aut Elisabetta Monfardini verfasserin aut Agathe Alibert verfasserin aut Laeticia Ninoves verfasserin aut Thomas Bosetti verfasserin aut Marine Mosnier verfasserin aut Stephanie Nguengang Wakap verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 2 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:2 https://doi.org/10.1136/bmjopen-2022-065734 kostenfrei https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 kostenfrei https://bmjopen.bmj.com/content/13/2/e065734.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 2
allfieldsGer	10.1136/bmjopen-2022-065734 doi (DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56 DE-627 ger DE-627 rakwb eng Sandrine Loubiere verfasserin aut Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131 Medicine R Aurelie Tinland verfasserin aut Pascal Auquier verfasserin aut Jordi Landier verfasserin aut Josiane Warszawski verfasserin aut Emilie Mosnier verfasserin aut Elisabetta Monfardini verfasserin aut Agathe Alibert verfasserin aut Laeticia Ninoves verfasserin aut Thomas Bosetti verfasserin aut Marine Mosnier verfasserin aut Stephanie Nguengang Wakap verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 2 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:2 https://doi.org/10.1136/bmjopen-2022-065734 kostenfrei https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 kostenfrei https://bmjopen.bmj.com/content/13/2/e065734.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 2
allfieldsSound	10.1136/bmjopen-2022-065734 doi (DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56 DE-627 ger DE-627 rakwb eng Sandrine Loubiere verfasserin aut Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131 Medicine R Aurelie Tinland verfasserin aut Pascal Auquier verfasserin aut Jordi Landier verfasserin aut Josiane Warszawski verfasserin aut Emilie Mosnier verfasserin aut Elisabetta Monfardini verfasserin aut Agathe Alibert verfasserin aut Laeticia Ninoves verfasserin aut Thomas Bosetti verfasserin aut Marine Mosnier verfasserin aut Stephanie Nguengang Wakap verfasserin aut In BMJ Open BMJ Publishing Group, 2011 13(2023), 2 (DE-627)654747075 (DE-600)2599832-8 20446055 nnns volume:13 year:2023 number:2 https://doi.org/10.1136/bmjopen-2022-065734 kostenfrei https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 kostenfrei https://bmjopen.bmj.com/content/13/2/e065734.full kostenfrei https://doaj.org/toc/2044-6055 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 2
language	English
source	In BMJ Open 13(2023), 2 volume:13 year:2023 number:2
sourceStr	In BMJ Open 13(2023), 2 volume:13 year:2023 number:2
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medicine R
isfreeaccess_bool	true
container_title	BMJ Open
authorswithroles_txt_mv	Sandrine Loubiere @@aut@@ Aurelie Tinland @@aut@@ Pascal Auquier @@aut@@ Jordi Landier @@aut@@ Josiane Warszawski @@aut@@ Emilie Mosnier @@aut@@ Elisabetta Monfardini @@aut@@ Agathe Alibert @@aut@@ Laeticia Ninoves @@aut@@ Thomas Bosetti @@aut@@ Marine Mosnier @@aut@@ Stephanie Nguengang Wakap @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	654747075
id	DOAJ079942512
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ079942512</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410113709.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1136/bmjopen-2022-065734</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ079942512</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Sandrine Loubiere</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aurelie Tinland</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pascal Auquier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jordi Landier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Josiane Warszawski</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emilie Mosnier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Elisabetta Monfardini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Agathe Alibert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Laeticia Ninoves</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Bosetti</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marine Mosnier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Stephanie Nguengang Wakap</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">BMJ Open</subfield><subfield code="d">BMJ Publishing Group, 2011</subfield><subfield code="g">13(2023), 2</subfield><subfield code="w">(DE-627)654747075</subfield><subfield code="w">(DE-600)2599832-8</subfield><subfield code="x">20446055</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1136/bmjopen-2022-065734</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://bmjopen.bmj.com/content/13/2/e065734.full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2044-6055</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_375</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2023</subfield><subfield code="e">2</subfield></datafield></record></collection>
author	Sandrine Loubiere
spellingShingle	Sandrine Loubiere misc Medicine misc R Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
authorStr	Sandrine Loubiere
ppnlink_with_tag_str_mv	@@773@@(DE-627)654747075
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
illustrated	Not Illustrated
issn	20446055
topic_title	Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
topic	misc Medicine misc R
topic_unstemmed	misc Medicine misc R
topic_browse	misc Medicine misc R
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	BMJ Open
hierarchy_parent_id	654747075
hierarchy_top_title	BMJ Open
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)654747075 (DE-600)2599832-8
title	Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
ctrlnum	(DE-627)DOAJ079942512 (DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56
title_full	Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
author_sort	Sandrine Loubiere
journal	BMJ Open
journalStr	BMJ Open
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2023
contenttype_str_mv	txt
author_browse	Sandrine Loubiere Aurelie Tinland Pascal Auquier Jordi Landier Josiane Warszawski Emilie Mosnier Elisabetta Monfardini Agathe Alibert Laeticia Ninoves Thomas Bosetti Marine Mosnier Stephanie Nguengang Wakap
container_volume	13
format_se	Elektronische Aufsätze
author-letter	Sandrine Loubiere
doi_str_mv	10.1136/bmjopen-2022-065734
author2-role	verfasserin
title_sort	cumulative incidence of sars-cov-2 infection within the homeless population: insights from a city-wide longitudinal study
title_auth	Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
abstract	Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131
abstractGer	Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131
abstract_unstemmed	Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	2
title_short	Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study
url	https://doi.org/10.1136/bmjopen-2022-065734 https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56 https://bmjopen.bmj.com/content/13/2/e065734.full https://doaj.org/toc/2044-6055
remote_bool	true
author2	Aurelie Tinland Pascal Auquier Jordi Landier Josiane Warszawski Emilie Mosnier Elisabetta Monfardini Agathe Alibert Laeticia Ninoves Thomas Bosetti Marine Mosnier Stephanie Nguengang Wakap
author2Str	Aurelie Tinland Pascal Auquier Jordi Landier Josiane Warszawski Emilie Mosnier Elisabetta Monfardini Agathe Alibert Laeticia Ninoves Thomas Bosetti Marine Mosnier Stephanie Nguengang Wakap
ppnlink	654747075
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1136/bmjopen-2022-065734
up_date	2024-07-04T01:26:39.479Z
_version_	1803609859146383360
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ079942512</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410113709.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230310s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1136/bmjopen-2022-065734</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ079942512</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJa1c26491af1e466ba75bfe258e05fb56</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Sandrine Loubiere</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objectives The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.Design Cohort study.Setting Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.Participants All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.Primary outcome measures Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.Results A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7–7.3) during the first session to 18.9% (16.0–21.7) during the second one, compared with 3.0% (1.9–4.2) and 6.5% (4.5–8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18–3.15)), being an isolated parent (1.64 (1.07–2.52)) and having contact with more than 5–15 people per day (1.84 (1.27–2.67)). By contrast, smoking (0.46 (0.32–0.65)), having financial resources (0.70 (0.51–0.97)) and psychiatric or addictive comorbidities (0.52 (0.32–0.85)) were associated with a lower risk.Conclusion We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.Trial registration number NCT04408131</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Aurelie Tinland</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pascal Auquier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jordi Landier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Josiane Warszawski</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emilie Mosnier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Elisabetta Monfardini</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Agathe Alibert</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Laeticia Ninoves</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Thomas Bosetti</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marine Mosnier</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Stephanie Nguengang Wakap</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">BMJ Open</subfield><subfield code="d">BMJ Publishing Group, 2011</subfield><subfield code="g">13(2023), 2</subfield><subfield code="w">(DE-627)654747075</subfield><subfield code="w">(DE-600)2599832-8</subfield><subfield code="x">20446055</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:13</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1136/bmjopen-2022-065734</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/a1c26491af1e466ba75bfe258e05fb56</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://bmjopen.bmj.com/content/13/2/e065734.full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2044-6055</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_375</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">13</subfield><subfield code="j">2023</subfield><subfield code="e">2</subfield></datafield></record></collection>
score	7.4001493

Nicht das Richtige dabei?

Schreiben Sie uns!

Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?