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1.
Viruses ; 15(1)2023 Jan 13.
Article in English | MEDLINE | ID: covidwho-2200882

ABSTRACT

COVID-19 severely affected nursing home residents from March 2020 onwards in Belgium. This study aimed to model the impact of vaccination and facility characteristics on cluster occurrence, duration and severity in this setting. Possible clusters were identified between June 2020 and January 2022, based on the Belgian COVID-19 surveillance in nursing homes. Median attack rates (AR) among residents and staff, case hospitalization rates (CHR) and case fatality rates (CFR) were calculated. A negative binomial model was used to identify the association between nursing home characteristics and the number of cases, hospital admissions and deaths and the duration of the cluster. A total of 2239 clusters were detected in more than 80% of nursing homes. Most of these (62%) occurred before the start of COVID-19 vaccination (end of December 2020). After vaccination, the number of clusters, the AR among residents and staff, the CHR and the CFR dropped. Previous cluster(s) and vaccination decreased the number of cases, hospital admissions and deaths among residents. Previous cluster experience and having started vaccination were protective factors. We recommend continued implementation of targeted interventions such as vaccination, large-scale screening and immediate implementation of additional infection prevention and control measures.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Belgium/epidemiology , COVID-19 Vaccines , Nursing Homes , Vaccination
2.
Viruses ; 14(7)2022 06 22.
Article in English | MEDLINE | ID: covidwho-1911646

ABSTRACT

In view of the grave situation during the first two waves of SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus-2), nursing homes (NHs) were prioritised for vaccination once vaccines became available in Belgium. The aim of this study was to assess the effect of the COVID-19 (Coronavirus Disease 2019) vaccination campaign on COVID-19 cases, hospital admissions, and deaths among residents living in Belgian NHs. All 1545 Belgian NHs were invited to participate in a COVID-19 surveillance program. In Belgium, before vaccination, COVID-19 morbidity and mortality rates were driven by the situation in the NHs. Shortly after the COVID-19 vaccination campaign, and later the booster campaign, the number of hospital admissions and deaths among NH residents dropped, while clear peaks could be observed among the general population. The impact of vaccination on virus circulation was less effective than expected. However, due to the high vaccination coverage, NH residents remain well protected against hospital admission and death due to COVID-19 more than one year after being vaccinated.


Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , Belgium/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Hospitals , Humans , Immunization Programs , Nursing Homes , SARS-CoV-2 , Vaccination
3.
Euro Surveill ; 26(48)2021 12.
Article in English | MEDLINE | ID: covidwho-1613502

ABSTRACT

BackgroundCOVID-19-related mortality in Belgium has drawn attention for two reasons: its high level, and a good completeness in reporting of deaths. An ad hoc surveillance was established to register COVID-19 death numbers in hospitals, long-term care facilities (LTCF) and the community. Belgium adopted broad inclusion criteria for the COVID-19 death notifications, also including possible cases, resulting in a robust correlation between COVID-19 and all-cause mortality.AimTo document and assess the COVID-19 mortality surveillance in Belgium.MethodsWe described the content and data flows of the registration and we assessed the situation as of 21 June 2020, 103 days after the first death attributable to COVID-19 in Belgium. We calculated the participation rate, the notification delay, the percentage of error detected, and the results of additional investigations.ResultsThe participation rate was 100% for hospitals and 83% for nursing homes. Of all deaths, 85% were recorded within 2 calendar days: 11% within the same day, 41% after 1 day and 33% after 2 days, with a quicker notification in hospitals than in LTCF. Corrections of detected errors reduced the death toll by 5%.ConclusionBelgium implemented a rather complete surveillance of COVID-19 mortality, on account of a rapid investment of the hospitals and LTCF. LTCF could build on past experience of previous surveys and surveillance activities. The adoption of an extended definition of 'COVID-19-related deaths' in a context of limited testing capacity has provided timely information about the severity of the epidemic.


Subject(s)
COVID-19 , Epidemics , Belgium/epidemiology , Humans , Nursing Homes , SARS-CoV-2
4.
Euro Surveill ; 26(49)2021 12.
Article in English | MEDLINE | ID: covidwho-1566616

ABSTRACT

We collected data from 10 EU/EEA countries on 240 COVID-19 outbreaks occurring from July-October 2021 in long-term care facilities with high vaccination coverage. Among 17,268 residents, 3,832 (22.2%) COVID-19 cases were reported. Median attack rate was 18.9% (country range: 2.8-52.4%), 17.4% of cases were hospitalised, 10.2% died. In fully vaccinated residents, adjusted relative risk for COVID-19 increased with outbreak attack rate. Findings highlight the importance of early outbreak detection and rapid containment through effective infection prevention and control measures.


Subject(s)
COVID-19 , Disease Outbreaks/prevention & control , Humans , Incidence , Long-Term Care , SARS-CoV-2
5.
Euro Surveill ; 25(22)2020 06.
Article in English | MEDLINE | ID: covidwho-525953

ABSTRACT

Residents in long-term care facilities (LTCF) are a vulnerable population group. Coronavirus disease (COVID-19)-related deaths in LTCF residents represent 30-60% of all COVID-19 deaths in many European countries. This situation demands that countries implement local and national testing, infection prevention and control, and monitoring programmes for COVID-19 in LTCF in order to identify clusters early, decrease the spread within and between facilities and reduce the size and severity of outbreaks.


Subject(s)
Coronavirus Infections/diagnosis , Coronavirus/isolation & purification , Disease Outbreaks , Long-Term Care , Nursing Homes , Pandemics/prevention & control , Pneumonia, Viral/diagnosis , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , Coronavirus Infections/mortality , Coronavirus Infections/transmission , Coronavirus Infections/virology , Europe/epidemiology , Female , Humans , Male , Pneumonia, Viral/mortality , Pneumonia, Viral/transmission , Pneumonia, Viral/virology , SARS-CoV-2 , Vulnerable Populations
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