Social deprivation and SARS-CoV-2 testing: a population-based analysis in a highly contrasted southern France region

被引:5
|
作者
Landier, Jordi [1 ]
Bassez, Lea [1 ]
Bendiane, Marc-Karim [1 ]
Chaud, Pascal [2 ]
Franke, Florian [2 ]
Nauleau, Steve [3 ]
Danjou, Fabrice [3 ]
Malfait, Philippe [2 ]
Rebaudet, Stanislas [1 ,4 ]
Gaudart, Jean [5 ]
机构
[1] Aix Marseille Univ, Aix Marseille Inst Publ Hlth, IRD, INSERM,SESSTIM,ISSPAM, Marseille, France
[2] Sante Publ France Cellule Reg Paca Corse, Marseille, France
[3] Agence Reg Sante Provence Alpes Cote Azur, Marseille, France
[4] Hop Europeen Marseille, Marseille, France
[5] Aix Marseille Univ, Hop Timone, APHM, Inserm,IRD,SESSTIM,ISSPAM,BioSTIC, Marseille, France
关键词
testing; access to health care; deprivation; COVID-19; geoepidemiology; France; population-based; R-PACKAGE; COVID-19;
D O I
10.3389/fpubh.2023.1162711
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundTesting was the cornerstone of the COVID-19 epidemic response in most countries until vaccination became available for the general population. Social inequalities generally affect access to healthcare and health behaviors, and COVID-19 was rapidly shown to impact deprived population more drastically. In support of the regional health agency in Provence-Alpes-Cote d'Azur (PACA) in South-Eastern France, we analyzed the relationship between testing rate and socio-demographic characteristics of the population, to identify gaps in testing coverage and improve targeting of response strategies. MethodsWe conducted an ecological analysis of SARS-CoV-2/COVID-19 testing rate in the PACA region, based on data aggregated at the finest spatial resolution available in France (IRIS) and by periods defined by public health implemented measures and major epidemiological changes. Using general census data, population density, and specific deprivation indices, we used principal component analysis followed by hierarchical clustering to define profiles describing local socio-demographic characteristics. We analyzed the association between these profiles and testing rates in a generalized additive multilevel model, adjusting for access to healthcare, presence of a retirement home, and the age profile of the population. ResultsWe identified 6 socio-demographic profiles across the 2,306 analyzed IRIS spatial units: privileged, remote, intermediate, downtown, deprived, and very deprived (ordered by increasing social deprivation index). Profiles also ranged from rural (remote) to high density urban areas (downtown, very deprived). From July 2020 to December 2021, we analyzed SARS-CoV-2/COVID-19 testing rate over 10 periods. Testing rates fluctuated strongly but were highest in privileged and downtown areas, and lowest in very deprived ones. The lowest adjusted testing rate ratios (aTRR) between privileged (reference) and other profiles occurred after implementation of a mandatory healthpass for many leisure activities in July 2021. Periods of contextual testing near Christmas displayed the largest aTRR, especially during the last periods of 2021 after the end of free convenience testing for unvaccinated individuals. ConclusionWe characterized in-depth local heterogeneity and temporal trends in testing rates and identified areas and circumstances associated with low testing rates, which the regional health agency targeted specifically for the deployment of health mediation activities.
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页数:11
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