Since the beginning of the COVID-19 outbreak in France, nursing homes (NH) have been heavily affected. In this study, the investigators want to evaluate the factors associated with the occurrence of COVID-19 epidemic clusters within the nursing homes in the French Alps

In France, between 1st of March and 29th of June 2020, the situation of NH was critical, with a total of 5,203 outbreaks (≥ 1case), of which 651 (13%) occurred in the Auvergne-Rhône-Alpes (ARA) area. In the ARA area, 3,885 residents of NH were confirmed cases (positiveness of the polymerase chain reaction (PCR) or of the serology testing), of which 1,772 (46%) subsequently died. To manage this crisis, the French government decided to first, ban the visits to residents and to reinforce hygiene measures targeting care workers, and secondly, of a national lock down. In the same time, shortage of personal protective equipment (PPE) had happened worldwide.

In this context, one can hypothesize that the occurrence of outbreaks and its spread among the residents of NH would have been initiated by the staff members. Nonetheless, the implementation of local actions might have been efficient to mitigate the epidemic, while on the other hand, shortage of PPE might have worsen the epidemic.

Therefore the investigators aimed to investigate the relationship between the occurrence of outbreak in residents and in staff members of nursing home, as well as the factors influencing this relationship, using data from a multicentric cross-sectional survey conducted in the French Alps, a part of ARA area.

Inclusion Criteria:

• Hospital based NH in the French Alps
• Non Hospital based NH in the French Alps
• Study participation agreement from the NH's managers

Exclusion Criteria:

• Refusal of the NH's managers to participate

NH which are part of the French Alps in the ARA area.

The questionnaire was made available on the internet 24 h/day, 7 days/week using the dedicated link sent to each NH through email by the research team on 15th of July. NH's managers had to respond to the survey.