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1.
Eur J Epidemiol ; 37(10): 1085-1086, 2022 10.
Article in English | MEDLINE | ID: covidwho-2128838
2.
Nat Commun ; 12(1): 6895, 2021 11 25.
Article in English | MEDLINE | ID: covidwho-1537311

ABSTRACT

The shielding of older individuals has been proposed to limit COVID-19 hospitalizations while relaxing general social distancing in the absence of vaccines. Evaluating such approaches requires a deep understanding of transmission dynamics across ages. Here, we use detailed age-specific case and hospitalization data to model the rebound in the French epidemic in summer 2020, characterize age-specific transmission dynamics and critically evaluate different age-targeted intervention measures in the absence of vaccines. We find that while the rebound started in young adults, it reached individuals aged ≥80 y.o. after 4 weeks, despite substantial contact reductions, indicating substantial transmission flows across ages. We derive the contribution of each age group to transmission. While shielding older individuals reduces mortality, it is insufficient to allow major relaxations of social distancing. When the epidemic remains manageable (R close to 1), targeting those most contributing to transmission is better than shielding at-risk individuals. Pandemic control requires an effort from all age groups.


Subject(s)
COVID-19/prevention & control , COVID-19/transmission , SARS-CoV-2 , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19 Vaccines , Child , Child, Preschool , Computer Simulation , Female , France/epidemiology , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Male , Middle Aged , Pandemics/prevention & control , Physical Distancing , Young Adult
3.
BMC Public Health ; 21(1): 1834, 2021 10 11.
Article in English | MEDLINE | ID: covidwho-1463240

ABSTRACT

BACKGROUND: In France, the lifting of the lockdown implemented to control the COVID-19 first wave in 2020 was followed by a reinforced contact-tracing (CT) strategy for the early detection of cases and transmission chains. We developed a reporting system of clusters defined as at least three COVID-19 cases, within seven days and belonging to the same community or having participated in the same gathering, whether they know each other or not. The aim of this study was to describe the typology and criticality of clusters reported between the two lockdowns in France to guide future action prioritisation. METHODS: In this study we describe the typology and criticality of COVID-19 clusters between the two lockdowns implemented in France (between May and end of October 2020). Clusters were registered in a national database named "MONIC" (MONItoring des Clusters), established in May 2020. This surveillance system identified the most affected communities in a timely manner. A level of criticality was defined for each cluster to take into consideration the risk of spreading within and outside the community of occurrence, and the health impact within the community. We compared the level of criticality according to the type of community in which the cluster occurred using Pearson's chi-square tests. RESULTS: A total of 7236 clusters were reported over the study period, particularly in occupational environment (25.1%, n = 1813), elderly care structures (21.9%, n = 1586), and educational establishments (15.9%, n = 1154). We show a shift over time of the most affected communities in terms of number of clusters. Clusters reported in occupational environment and the personal sphere had increased during summer while clusters reported in educational environment increased after the start of the school year. This trend mirrors change of transmission pattern overtime according to social contacts. Among all reported clusters, 43.1% had a high level of criticality with significant differences between communities (p < 0.0001). A majority of clusters had a high level of criticality in elderly care structures (82.2%), in disability care centres (56.6%), and health care facilities (51.7%). CONCLUSION: These results highlight the importance of targeting public health action based on timely sustained investigations, testing capacity and targeted awareness campaigns. The emergence of new SARS-CoV-2 variants strengthen these public health recommendations and the need for rapid and prioritise vaccination campaigns.


Subject(s)
COVID-19 , Contact Tracing , COVID-19/epidemiology , Communicable Disease Control , France/epidemiology , Humans , SARS-CoV-2
4.
Eur J Epidemiol ; 36(2): 219-222, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1384505

ABSTRACT

Using serum samples routinely collected in 9144 adults from a French general population-based cohort, we identified 353 participants with a positive anti-SARS-CoV-2 IgG test, among whom 13 were sampled between November 2019 and January 2020 and were confirmed by neutralizing antibodies testing. Investigations in 11 of these participants revealed experience of symptoms possibly related to a SARS-CoV-2 infection or situations at risk of potential SARS-CoV-2 exposure. This suggests early circulation of SARS-CoV-2 in Europe.


Subject(s)
COVID-19/blood , COVID-19/epidemiology , Adult , Aged , Cohort Studies , Female , France/epidemiology , Humans , Male , Middle Aged , SARS-CoV-2 , Young Adult
5.
Euro Surveill ; 25(50)2020 12.
Article in English | MEDLINE | ID: covidwho-993172

ABSTRACT

In France, measures including curfew and lockdown were implemented to control the COVID-19 pandemic second wave in 2020. This study descriptively assesses their possible effects, also relative to their timing. A considerable decrease in incidence of COVID-19 cases and hospital admissions was observed 7 to 10 days after mitigation measures were put in place, occurring earlier in metropolitan areas which had implemented these first. This temporal coincidence suggests the measures' positive impact, consistent with international experiences.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control/methods , Pandemics , Physical Distancing , Quarantine , SARS-CoV-2 , Urban Population/statistics & numerical data , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/transmission , Cities , Communicable Disease Control/statistics & numerical data , France/epidemiology , Hospitalization , Humans , Incidence , Quarantine/legislation & jurisprudence , Time Factors
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