COVID-19 cases, hospitalizations and deaths in Belgian nursing homes: results of a surveillance conducted between April and December 2020.

Belgium COVID-19 Epidemiology Nursing homes Surveillance

Journal

Archives of public health = Archives belges de sante publique
ISSN: 0778-7367
Titre abrégé: Arch Public Health
Pays: England
ID NLM: 9208826

Informations de publication

Date de publication:
29 Jan 2022
Historique:
received: 18 10 2021
accepted: 07 01 2022
entrez: 30 1 2022
pubmed: 31 1 2022
medline: 31 1 2022
Statut: epublish

Résumé

In Belgium, the first COVID-19 death was reported on 10 March 2020. Nursing home (NH) residents are particularly vulnerable for COVID-19, making it essential to follow-up the spread of COVID-19 in this setting. This manuscript describes the methodology of surveillance and epidemiology of COVID-19 cases, hospitalizations and deaths in Belgian NHs. A COVID-19 surveillance in all Belgian NHs (n = 1542) was set up by the regional health authorities and Sciensano. Aggregated data on possible/confirmed COVID-19 cases and hospitalizations and case-based data on deaths were reported by NHs at least once a week. The study period covered April-December 2020. Weekly incidence/prevalence data were calculated per 1000 residents or staff members. This surveillance has been launched within 14 days after the first COVID-19 death in Belgium. Automatic data cleaning was installed using different validation rules. More than 99% of NHs participated at least once, with a median weekly participation rate of 95%. The cumulative incidence of possible/confirmed COVID-19 cases among residents was 206/1000 in the first wave and 367/1000 in the second wave. Most NHs (82%) reported cases in both waves and 74% registered ≥10 possible/confirmed cases among residents at one point in time. In 51% of NHs, at least 10% of staff was absent due to COVID-19 at one point. Between 11 March 2020 and 3 January 2021, 11,329 COVID-19 deaths among NH residents were reported, comprising 57% of all COVID-19 deaths in Belgium in that period. This surveillance was crucial in mapping COVID-19 in this vulnerable setting and guiding public health interventions, despite limitations of aggregated data and necessary changes in protocol over time. Belgian NHs were severely hit by COVID-19 with many fatal cases. The measure of not allowing visitors, implemented in the beginning of the pandemic, could not avoid the spread of SARS-CoV-2 in the NHs during the first wave. The virus was probably often introduced by staff. Once the virus was introduced, it was difficult to prevent healthcare-associated outbreaks. Although, in contrast to the first wave, personal protective equipment was available in the second wave, again a high number of cases were reported.

Sections du résumé

BACKGROUND BACKGROUND
In Belgium, the first COVID-19 death was reported on 10 March 2020. Nursing home (NH) residents are particularly vulnerable for COVID-19, making it essential to follow-up the spread of COVID-19 in this setting. This manuscript describes the methodology of surveillance and epidemiology of COVID-19 cases, hospitalizations and deaths in Belgian NHs.
METHODS METHODS
A COVID-19 surveillance in all Belgian NHs (n = 1542) was set up by the regional health authorities and Sciensano. Aggregated data on possible/confirmed COVID-19 cases and hospitalizations and case-based data on deaths were reported by NHs at least once a week. The study period covered April-December 2020. Weekly incidence/prevalence data were calculated per 1000 residents or staff members.
RESULTS RESULTS
This surveillance has been launched within 14 days after the first COVID-19 death in Belgium. Automatic data cleaning was installed using different validation rules. More than 99% of NHs participated at least once, with a median weekly participation rate of 95%. The cumulative incidence of possible/confirmed COVID-19 cases among residents was 206/1000 in the first wave and 367/1000 in the second wave. Most NHs (82%) reported cases in both waves and 74% registered ≥10 possible/confirmed cases among residents at one point in time. In 51% of NHs, at least 10% of staff was absent due to COVID-19 at one point. Between 11 March 2020 and 3 January 2021, 11,329 COVID-19 deaths among NH residents were reported, comprising 57% of all COVID-19 deaths in Belgium in that period.
CONCLUSIONS CONCLUSIONS
This surveillance was crucial in mapping COVID-19 in this vulnerable setting and guiding public health interventions, despite limitations of aggregated data and necessary changes in protocol over time. Belgian NHs were severely hit by COVID-19 with many fatal cases. The measure of not allowing visitors, implemented in the beginning of the pandemic, could not avoid the spread of SARS-CoV-2 in the NHs during the first wave. The virus was probably often introduced by staff. Once the virus was introduced, it was difficult to prevent healthcare-associated outbreaks. Although, in contrast to the first wave, personal protective equipment was available in the second wave, again a high number of cases were reported.

Identifiants

pubmed: 35093169
doi: 10.1186/s13690-022-00794-6
pii: 10.1186/s13690-022-00794-6
pmc: PMC8799977
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45

Informations de copyright

© 2022. The Author(s).

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Auteurs

Eline Vandael (E)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Katrien Latour (K)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Esma Islamaj (E)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Laura Int Panis (LI)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Milena Callies (M)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Freek Haarhuis (F)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Kristiaan Proesmans (K)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Brecht Devleesschauwer (B)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.
Department of Veterinary Public Health and Food Safety, Ghent University, Merelbeke, Belgium.

Javiera Rebolledo Gonzalez (J)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Alice Hannecart (A)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Romain Mahieu (R)

Department of Infectious Disease Prevention and Control, Common Community Commission, Brussels-Capital Region, Brussels, Belgium.

Louise de Viron (L)

Department of Infectious Disease Prevention and Control, Common Community Commission, Brussels-Capital Region, Brussels, Belgium.

Etienne De Clercq (E)

Iriscare - Brussels public agency for health and social care, Brussels, Belgium.

Anne Kongs (A)

Department of Welfare, Public Health and Family, Government of Flanders, Brussels, Belgium.

Naïma Hammami (N)

Agency for Care and Health, Infection Prevention and Control, Government of Flanders, Brussels, Belgium.

Jean-Marc François (JM)

Direction de la recherche, de la statistique et de la veille des politiques, Agence pour une Vie de Qualité (AVIQ), Charleroi, Belgium.

Dominique Dubourg (D)

Direction de la recherche, de la statistique et de la veille des politiques, Agence pour une Vie de Qualité (AVIQ), Charleroi, Belgium.

Sarah Henz (S)

Ministerium der Deutschsprachigen Gemeinschaft, Eupen, Belgium.

Boudewijn Catry (B)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.
Faculty of Medicine, Université libre de Bruxelles (ULB), Brussels, Belgium.

Sara Dequeker (S)

Department of Epidemiology and public health, Sciensano, Brussels, Belgium. Sara.Dequeker@sciensano.be.

Classifications MeSH