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1.
BMC Neurol ; 22(1): 22, 2022 Jan 11.
Article in English | MEDLINE | ID: covidwho-1622217

ABSTRACT

INTRODUCTION: We investigated the impact of the Corona Virus Disease 2019 (COVID-19) pandemic and the resulting lockdown on reperfusion treatments and door-to-treatment times during the first surge in Dutch comprehensive stroke centers. Furthermore, we studied the association between COVID-19-status and treatment times. METHODS: We included all patients receiving reperfusion treatment in 17 Dutch stroke centers from May 11th, 2017, until May 11th, 2020. We collected baseline characteristics, National Institutes of Health Stroke Scale (NIHSS) at admission, onset-to-door time (ODT), door-to-needle time (DNT), door-to-groin time (DGT) and COVID-19-status at admission. Parameters during the lockdown (March 15th, 2020 until May 11th, 2020) were compared with those in the same period in 2019, and between groups stratified by COVID-19-status. We used nationwide data and extrapolated our findings to the increasing trend of EVT numbers since May 2017. RESULTS: A decline of 14% was seen in reperfusion treatments during lockdown, with a decline in both IVT and EVT delivery. DGT increased by 12 min (50 to 62 min, p-value of < 0.001). Furthermore, median NIHSS-scores were higher in COVID-19 - suspected or positive patients (7 to 11, p-value of 0.004), door-to-treatment times did not differ significantly when stratified for COVID-19-status. CONCLUSIONS: During the first surge of the COVID-19 pandemic, a decline in acute reperfusion treatments and a delay in DGT was seen, which indicates a target for attention. It also appeared that COVID-19-positive or -suspected patients had more severe neurologic symptoms, whereas their EVT-workflow was not affected.


Subject(s)
COVID-19 , Endovascular Procedures , Stroke , Communicable Disease Control , Humans , Netherlands/epidemiology , Pandemics , SARS-CoV-2 , Stroke/drug therapy , Stroke/therapy , Thrombectomy , Thrombolytic Therapy , Time-to-Treatment , Treatment Outcome
2.
BMJ Open ; 12(1): e052752, 2022 01 06.
Article in English | MEDLINE | ID: covidwho-1613004

ABSTRACT

OBJECTIVES: It has been suggested that ethnic minorities have been disproportionally affected by the COVID-19. We aimed to determine whether prevalence and correlates of past SARS-CoV-2 exposure varied between six ethnic groups in Amsterdam, the Netherlands. DESIGN, SETTING, PARTICIPANTS: Participants aged 25-79 years enrolled in the Healthy Life in an Urban Setting population-based prospective cohort (n=16 889) were randomly selected within ethnic groups and invited to participate in a cross-sectional COVID-19 seroprevalence substudy. OUTCOME MEASURES: We tested participants for SARS-CoV-2-specific antibodies and collected information on SARS-CoV-2 exposures. We estimated prevalence and correlates of SARS-CoV-2 exposure within ethnic groups using survey-weighted logistic regression adjusting for age, sex and calendar time. RESULTS: Between 24 June and 9 October 2020, we included 2497 participants. Adjusted SARS-CoV-2 seroprevalence was comparable between ethnic Dutch (24/498; 5.1%, 95% CI 2.8% to 7.4%), South-Asian Surinamese (22/451; 4.9%, 95% CI 2.2% to 7.7%), African Surinamese (22/400; 8.3%, 95% CI 3.1% to 13.6%), Turkish (30/408; 7.9%, 95% CI 4.4% to 11.4%) and Moroccan (32/391; 7.2%, 95% CI 4.2% to 10.1%) participants, but higher among Ghanaians (95/327; 26.3%, 95% CI 18.5% to 34.0%). 57.1% of SARS-CoV-2-positive participants did not suspect or were unsure of being infected, which was lowest in African Surinamese (18.2%) and highest in Ghanaians (90.5%). Correlates of SARS-CoV-2 exposure varied across ethnic groups, while the most common correlate was having a household member suspected of infection. In Ghanaians, seropositivity was associated with older age, larger household sizes, living with small children, leaving home to work and attending religious services. CONCLUSIONS: No remarkable differences in SARS-CoV-2 seroprevalence were observed between the largest ethnic groups in Amsterdam after the first wave of infections. The higher infection seroprevalence observed among Ghanaians, which passed mostly unnoticed, warrants wider prevention efforts and opportunities for non-symptom-based testing.


Subject(s)
COVID-19 , SARS-CoV-2 , Aged , Child , Cross-Sectional Studies , Ghana , Humans , Netherlands/epidemiology , Prevalence , Prospective Studies , Seroepidemiologic Studies
4.
BMJ Open ; 11(12): e056077, 2021 12 21.
Article in English | MEDLINE | ID: covidwho-1583092

ABSTRACT

OBJECTIVES: We aimed to identify populations at a high risk for SARS-CoV-2 infection but who are less likely to present for testing, by determining which sociodemographic and household factors are associated with a lower propensity to be tested and, if tested, with a higher risk of a positive test result. DESIGN AND SETTING: Internet-based participatory surveillance data from the general population of the Netherlands. PARTICIPANTS: Weekly survey data collected over a 5-month period (17 November 2020 to 18 April 2021) from a total of 12 026 participants who had contributed at least 2 weekly surveys was analysed. METHODS: Multivariable analyses using generalised estimating equations for binomial outcomes were conducted to estimate the adjusted ORs of testing and of test positivity associated with participant and household characteristics. RESULTS: Male sex (adjusted OR for testing (ORt): 0.92; adjusted OR for positivity (ORp): 1.30, age groups<20 (ORt: 0.89; ORp: 1.27), 50-64 years (ORt: 0.94; ORp: 1.06) and 65+ years (ORt: 0.78; ORp: 1.24), diabetics (ORt: 0.97; ORp: 1.06) and sales/administrative employees (ORt: 0.93; ORp: 1.90) were distinguished as lower test propensity/higher test positivity factors. CONCLUSIONS: The factors identified using this approach can help identify potential target groups for improving communication and encouraging testing among those with symptoms, and thus increase the effectiveness of testing, which is essential for the response to the COVID-19 pandemic and for public health strategies in the longer term.


Subject(s)
COVID-19 , Humans , Internet , Male , Netherlands/epidemiology , Pandemics , SARS-CoV-2
5.
PLoS One ; 16(12): e0261381, 2021.
Article in English | MEDLINE | ID: covidwho-1581746

ABSTRACT

The Covid-19 pandemic has brought forth a major landscape shock in the mobility sector. Due to its recentness, researchers have just started studying and understanding the implications of this crisis on mobility. We contribute by combining mobility data from various sources to bring a novel angle to understanding mobility patterns during Covid-19. The goal is to expose relations between mobility and Covid-19 variables and understand them by using our data. This is crucial information for governments to understand and address the underlying root causes of the impact.


Subject(s)
COVID-19/economics , COVID-19/prevention & control , Marketing/statistics & numerical data , Pandemics/economics , Pandemics/prevention & control , Patient Isolation/methods , SARS-CoV-2 , Travel/statistics & numerical data , COVID-19/epidemiology , COVID-19/mortality , Humans , Netherlands/epidemiology
6.
Ann Med ; 53(1): 402-409, 2021 12.
Article in English | MEDLINE | ID: covidwho-1574118

ABSTRACT

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has a high burden on the healthcare system. Prediction models may assist in triaging patients. We aimed to assess the value of several prediction models in COVID-19 patients in the emergency department (ED). METHODS: In this retrospective study, ED patients with COVID-19 were included. Prediction models were selected based on their feasibility. Primary outcome was 30-day mortality, secondary outcomes were 14-day mortality and a composite outcome of 30-day mortality and admission to medium care unit (MCU) or intensive care unit (ICU). The discriminatory performance of the prediction models was assessed using an area under the receiver operating characteristic curve (AUC). RESULTS: We included 403 patients. Thirty-day mortality was 23.6%, 14-day mortality was 19.1%, 66 patients (16.4%) were admitted to ICU, 48 patients (11.9%) to MCU, and 152 patients (37.7%) met the composite endpoint. Eleven prediction models were included. The RISE UP score and 4 C mortality scores showed very good discriminatory performance for 30-day mortality (AUC 0.83 and 0.84, 95% CI 0.79-0.88 for both), significantly higher than that of the other models. CONCLUSION: The RISE UP score and 4 C mortality score can be used to recognise patients at high risk for poor outcome and may assist in guiding decision-making and allocating resources.


Subject(s)
COVID-19/mortality , Emergency Service, Hospital/statistics & numerical data , Aged , COVID-19/diagnosis , Feasibility Studies , Female , Hospital Mortality , Humans , Length of Stay/statistics & numerical data , Logistic Models , Male , Middle Aged , Netherlands/epidemiology , Prognosis , ROC Curve , Retrospective Studies , Risk Assessment/methods , SARS-CoV-2/isolation & purification
7.
Nat Commun ; 12(1): 7239, 2021 12 14.
Article in English | MEDLINE | ID: covidwho-1574197

ABSTRACT

Controlling the SARS-CoV-2 pandemic becomes increasingly challenging as the virus adapts to human hosts through the continual emergence of more transmissible variants. Simply observing that a variant is increasing in frequency is relatively straightforward, but more sophisticated methodology is needed to determine whether a new variant is a global threat and the magnitude of its selective advantage. We present two models for quantifying the strength of selection for new and emerging variants of SARS-CoV-2 relative to the background of contemporaneous variants. These methods range from a detailed model of dynamics within one country to a broad analysis across all countries, and they include alternative explanations such as migration and drift. We find evidence for strong selection favoring the D614G spike mutation and B.1.1.7 (Alpha), weaker selection favoring B.1.351 (Beta), and no advantage of R.1 after it spreads beyond Japan. Cutting back data to earlier time horizons reveals that uncertainty is large very soon after emergence, but that estimates of selection stabilize after several weeks. Our results also show substantial heterogeneity among countries, demonstrating the need for a truly global perspective on the molecular epidemiology of SARS-CoV-2.


Subject(s)
COVID-19/virology , Mutation , SARS-CoV-2/classification , SARS-CoV-2/genetics , Humans , Japan , Models, Theoretical , Netherlands , SARS-CoV-2/isolation & purification , Spike Glycoprotein, Coronavirus/genetics , United Kingdom
8.
PLoS Comput Biol ; 17(12): e1009697, 2021 12.
Article in English | MEDLINE | ID: covidwho-1571974

ABSTRACT

For the control of COVID-19, vaccination programmes provide a long-term solution. The amount of available vaccines is often limited, and thus it is crucial to determine the allocation strategy. While mathematical modelling approaches have been used to find an optimal distribution of vaccines, there is an excessively large number of possible allocation schemes to be simulated. Here, we propose an algorithm to find a near-optimal allocation scheme given an intervention objective such as minimization of new infections, hospitalizations, or deaths, where multiple vaccines are available. The proposed principle for allocating vaccines is to target subgroups with the largest reduction in the outcome of interest. We use an approximation method to reconstruct the age-specific transmission intensity (the next generation matrix), and express the expected impact of vaccinating each subgroup in terms of the observed incidence of infection and force of infection. The proposed approach is firstly evaluated with a simulated epidemic and then applied to the epidemiological data on COVID-19 in the Netherlands. Our results reveal how the optimal allocation depends on the objective of infection control. In the case of COVID-19, if we wish to minimize deaths, the optimal allocation strategy is not efficient for minimizing other outcomes, such as infections. In simulated epidemics, an allocation strategy optimized for an outcome outperforms other strategies such as the allocation from young to old, from old to young, and at random. Our simulations clarify that the current policy in the Netherlands (i.e., allocation from old to young) was concordant with the allocation scheme that minimizes deaths. The proposed method provides an optimal allocation scheme, given routine surveillance data that reflect ongoing transmissions. This approach to allocation is useful for providing plausible simulation scenarios for complex models, which give a more robust basis to determine intervention strategies.


Subject(s)
Algorithms , COVID-19 Vaccines/therapeutic use , COVID-19/prevention & control , SARS-CoV-2 , Vaccination/methods , Age Factors , COVID-19/epidemiology , COVID-19/immunology , COVID-19 Vaccines/supply & distribution , Computational Biology , Computer Simulation , Health Care Rationing/methods , Health Care Rationing/statistics & numerical data , Humans , Mass Vaccination/methods , Mass Vaccination/statistics & numerical data , Netherlands/epidemiology , Pandemics/prevention & control , Pandemics/statistics & numerical data , SARS-CoV-2/immunology , Vaccination/statistics & numerical data
9.
Clin Transl Med ; 11(12): e685, 2021 12.
Article in English | MEDLINE | ID: covidwho-1568018

ABSTRACT

The recently discovered Omicron variant of SARS-CoV-2 has rapidly burst into the public and scientific eye, being detected in more than 26 countries around the world. Given its more than 50 mutations, there is widespread concern about its public health impact, leading the World Health Organization to designate it a variant of concern. This Commentary provides a summary of current knowledge and unknowns about this viral variant as of December 2, 2021 and summarizes the key questions that need to be rapidly answered.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , SARS-CoV-2/genetics , Angiotensin-Converting Enzyme 2/genetics , Botswana , COVID-19 Vaccines , Global Health , Humans , Mutation , Netherlands , Pandemics , South Africa , World Health Organization
10.
BMC Health Serv Res ; 21(1): 1233, 2021 Nov 13.
Article in English | MEDLINE | ID: covidwho-1526634

ABSTRACT

BACKGROUND: In the past decade, acute obstetric care (AOC) has become centralised in many high-income countries. In this qualitative study, we explored how stakeholders in maternity care perceived and experienced adaptations in the organisation of maternity care in areas in the Netherlands where AOC was centralised. METHODS: A heterogenic group of fifteen maternity care stakeholders, including patients, were purposively selected for semi-structured interviews. An inductive thematic analysis was used. RESULTS: Three main themes were identified: (1) lack of involvement. (2) the process of making adaptations in the organisation of maternity care. (3) maintaining quality of care. Stakeholders in this study were highly motivated to maintain a high quality of maternity care and therefore made adaptations at several organisational levels. However, they felt a lack of involvement during the planning of centralisation of AOC and highlighted the importance of a collaborative process when making adaptations after centralisation of AOC. CONCLUSIONS: Regions with AOC centralisation plans should invest time and money in change management, encourage early involvement of all maternity care stakeholders and acknowledge centralisation of AOC as a professional life event with associated emotions, including a feeling of unsafety.


Subject(s)
Maternal Health Services , Midwifery , Obstetrics , Female , Humans , Netherlands , Pregnancy , Qualitative Research
11.
Front Cell Infect Microbiol ; 11: 768377, 2021.
Article in English | MEDLINE | ID: covidwho-1523678

ABSTRACT

Introduction: Recent reports have highlighted the impact of the COVID-19 pandemic on the incidence of infectious disease illnesses and antibiotic use. This study investigates the effect of the pandemic on childhood incidence of otitis media (OM) and associated antibiotic prescribing in a large primary care-based cohort in the Netherlands. Material and Methods: Retrospective observational cohort study using routine health care data from the Julius General Practitioners' Network (JGPN). All children aged 0-12 registered in 62 practices before the COVID-19 pandemic (1 March 2019 - 29 February 2020) and/or during the pandemic (1 March 2020 - 28 February 2021) were included. Data on acute otitis media (AOM), otitis media with effusion (OME), ear discharge episodes and associated antibiotic prescriptions were extracted. Incidence rates per 1,000 child years (IR), incidence rate ratios (IRR) and incidence rate differences (IRD) were compared between the two study periods. Results: OM episodes declined considerably during the COVID-19 pandemic: IR pre-COVID-19 vs COVID-19 for AOM 73.7 vs 27.1 [IRR 0.37]; for OME 9.6 vs 4.1 [IRR 0.43]; and for ear discharge 12.6 vs 5.8 [IRR 0.46]. The absolute number of AOM episodes in which oral antibiotics were prescribed declined accordingly (IRD pre-COVID-19 vs COVID-19: -22.4 per 1,000 child years), but the proportion of AOM episodes with antibiotic prescription was similar in both periods (47% vs 46%, respectively). Discussion: GP consultation for AOM, OME and ear discharge declined by 63%, 57% and 54% respectively in the Netherlands during the COVID-19 pandemic. Similar antibiotic prescription rates before and during the pandemic indicate that the case-mix presenting to primary care did not considerably change. Our data therefore suggest a true decline as a consequence of infection control measures introduced during the pandemic.


Subject(s)
COVID-19 , Otitis Media , Anti-Bacterial Agents/therapeutic use , Child , Humans , Incidence , Infant , Netherlands/epidemiology , Otitis Media/epidemiology , Pandemics , Retrospective Studies , SARS-CoV-2
12.
Front Public Health ; 9: 727274, 2021.
Article in English | MEDLINE | ID: covidwho-1518569

ABSTRACT

Since the outbreak of coronavirus disease-2019 (COVID-19), the whole world has taken interest in the mechanisms of its spread and development. Mathematical models have been valuable instruments for the study of the spread and control of infectious diseases. For that purpose, we propose a two-way approach in modeling COVID-19 spread: a susceptible, exposed, infected, recovered, deceased (SEIRD) model based on differential equations and a long short-term memory (LSTM) deep learning model. The SEIRD model is a compartmental epidemiological model with included components: susceptible, exposed, infected, recovered, deceased. In the case of the SEIRD model, official statistical data available online for countries of Belgium, Netherlands, and Luxembourg (Benelux) in the period of March 15 2020 to March 15 2021 were used. Based on them, we have calculated key parameters and forward them to the epidemiological model, which will predict the number of infected, deceased, and recovered people. Results show that the SEIRD model is able to accurately predict several peaks for all the three countries of interest, with very small root mean square error (RMSE), except for the mild cases (maximum RMSE was 240.79 ± 90.556), which can be explained by the fact that no official data were available for mild cases, but this number was derived from other statistics. On the other hand, LSTM represents a special kind of recurrent neural network structure that can comparatively learn long-term temporal dependencies. Results show that LSTM is capable of predicting several peaks based on the position of previous peaks with low values of RMSE. Higher values of RMSE are observed in the number of infected cases in Belgium (RMSE was 535.93) and Netherlands (RMSE was 434.28), and are expected because of thousands of people getting infected per day in those countries. In future studies, we will extend the models to include mobility information, variants of concern, as well as a medical intervention, etc. A prognostic model could help us predict epidemic peaks. In that way, we could react in a timely manner by introducing new or tightening existing measures before the health system is overloaded.


Subject(s)
COVID-19 , Belgium , Humans , Luxembourg , Netherlands , SARS-CoV-2
13.
BMC Pregnancy Childbirth ; 21(1): 767, 2021 Nov 12.
Article in English | MEDLINE | ID: covidwho-1511733

ABSTRACT

BACKGROUND: The COVID-19 pandemic led to regional or nationwide lockdowns as part of risk mitigation measurements in many countries worldwide. Recent studies suggest an unexpected and unprecedented decrease in preterm births during the initial COVID-19 lockdowns in the first half of 2020. The objective of the current study was to assess the effects of the two months of the initial national COVID-19 lockdown period on the incidence of very and extremely preterm birth in the Netherlands, stratified by either spontaneous or iatrogenic onset of delivery, in both singleton and multiple pregnancies. METHODS: Retrospective cohort study using data from all 10 perinatal centers in the Netherlands on very and extremely preterm births during the initial COVID-19 lockdown from March 15 to May 15, 2020. Incidences of very and extremely preterm birth were calculated using an estimate of the total number of births in the Netherlands in this period. As reference, we used data from the corresponding calendar period in 2015-2018 from the national perinatal registry (Perined). We differentiated between spontaneous versus iatrogenic onset of delivery and between singleton versus multiple pregnancies. RESULTS: The incidence of total preterm birth < 32 weeks in singleton pregnancies was 6.1‰ in the study period in 2020 versus 6.5‰ in the corresponding period in 2015-2018. The decrease in preterm births in singletons was solely due to a significant decrease in iatrogenic preterm births, both < 32 weeks (OR 0.71; 95%CI 0.53 to 0.95) and < 28 weeks (OR 0.53; 95%CI 0.29 to 0.97). For multiple pregnancies, an increase in preterm births < 28 weeks was observed (OR 2.43; 95%CI 1.35 to 4.39). CONCLUSION: This study shows a decrease in iatrogenic preterm births during the initial COVID-19-related lockdown in the Netherlands in singletons. Future studies should focus on the mechanism of action of lockdown measures and reduction of preterm birth and the effects of perinatal outcome.


Subject(s)
COVID-19/prevention & control , Labor, Induced/trends , Premature Birth/epidemiology , Premature Birth/etiology , Female , Health Policy , Humans , Iatrogenic Disease/epidemiology , Incidence , Infant, Extremely Premature , Infant, Newborn , Logistic Models , Netherlands/epidemiology , Pregnancy , Prenatal Care/methods , Prenatal Care/trends , Protective Factors , Retrospective Studies , Risk Factors
14.
Front Public Health ; 9: 737223, 2021.
Article in English | MEDLINE | ID: covidwho-1506974

ABSTRACT

Background: The corona pandemic has forced higher education (HE) institutes to transition to online learning, with subsequent implications for student wellbeing. Aims: This study explored influences on student wellbeing throughout the first wave of the corona crisis in the Netherlands by testing serial mediation models of the relationships between perceived academic stress, depression, resilience, and HE support. Methods: The Covid-19 International Student Wellbeing Study (C19 ISWS) was used, with a total sample of 2,480 higher education students studying at InHolland Universities of Applied Sciences in the Netherlands. Student subgroups were created, so that students with low and high perceived academic stress could be assessed, in addition to depressed and non-depressed students. Predictive model fit was tested using Macro PROCESS. Results: A significant serial mediation model for the total student sample was revealed, including protective mediating effects of resilience and HE support on the positive direct effect of perceived academic stress on depression. At subgroup level, significant (partial) predictive effects of resilience on depression scores were noted. A partial serial effect between resilience and HE support was found for students with low perceived stress levels, whereas a parallel partial mediation model was present among highly academically stressed students. Regarding non-depressed students, a full parallel mediation model was found, whereas the model for depressed students inadequately explained the data. Conclusions: Overall, resilience and HE support mediate the predictive effect of academic stress on depressive symptoms among students. In addition, substantial differences in model fit arise when inspecting the students on a subgroup level. These findings contribute to the gap in knowledge regarding student wellbeing during the Covid-19 pandemic in the Netherlands, in addition to providing novel insights on student subgroup dynamics. While Covid-19 restrictions continue to demand online learning, student wellbeing may be enhanced overall by targeting resilience and increasing awareness and availability of HE support services. The current study also highlights the need for differential approaches when examining wellbeing for specific student groups.


Subject(s)
COVID-19 , Cross-Sectional Studies , Depression/epidemiology , Humans , Netherlands/epidemiology , Pandemics , Protective Factors , SARS-CoV-2 , Students
15.
PLoS Pathog ; 17(11): e1010053, 2021 11.
Article in English | MEDLINE | ID: covidwho-1506691

ABSTRACT

COVID-19 patients transmitted SARS-CoV-2 to minks in the Netherlands in April 2020. Subsequently, the mink-associated virus (miSARS-CoV-2) spilled back over into humans. Genetic sequences of the miSARS-CoV-2 identified a new genetic variant known as "Cluster 5" that contained mutations in the spike protein. However, the functional properties of these "Cluster 5" mutations have not been well established. In this study, we found that the Y453F mutation located in the RBD domain of miSARS-CoV-2 is an adaptive mutation that enhances binding to mink ACE2 and other orthologs of Mustela species without compromising, and even enhancing, its ability to utilize human ACE2 as a receptor for entry. Structural analysis suggested that despite the similarity in the overall binding mode of SARS-CoV-2 RBD to human and mink ACE2, Y34 of mink ACE2 was better suited to interact with a Phe rather than a Tyr at position 453 of the viral RBD due to less steric clash and tighter hydrophobic-driven interaction. Additionally, the Y453F spike exhibited resistance to convalescent serum, posing a risk for vaccine development. Thus, our study suggests that since the initial transmission from humans, SARS-CoV-2 evolved to adapt to the mink host, leading to widespread circulation among minks while still retaining its ability to efficiently utilize human ACE2 for entry, thus allowing for transmission of the miSARS-CoV-2 back into humans. These findings underscore the importance of active surveillance of SARS-CoV-2 evolution in Mustela species and other susceptible hosts in order to prevent future outbreaks.


Subject(s)
Angiotensin-Converting Enzyme 2/metabolism , COVID-19/epidemiology , Host Adaptation , Mink/immunology , Mutation , SARS-CoV-2/isolation & purification , Spike Glycoprotein, Coronavirus/genetics , Adult , Aged , Angiotensin-Converting Enzyme 2/genetics , Animals , Binding Sites , COVID-19/immunology , COVID-19/therapy , COVID-19/transmission , COVID-19/virology , Female , Humans , Immunization, Passive/statistics & numerical data , Male , Middle Aged , Mink/virology , Molecular Dynamics Simulation , Netherlands/epidemiology , Protein Binding , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/metabolism , Virus Internalization , Young Adult
17.
Euro Surveill ; 26(44)2021 11.
Article in English | MEDLINE | ID: covidwho-1503826

ABSTRACT

We estimated SARS-CoV-2 vaccine effectiveness against onward transmission by comparing secondary attack rates among household members for vaccinated and unvaccinated index cases, based on source and contact tracing data collected when the Delta variant was dominant. Effectiveness of full vaccination of the index case against transmission to unvaccinated and fully vaccinated household contacts, respectively, was 63% (95% confidence interval (CI): 46-75) and 40% (95% CI: 20-54), in addition to the direct protection of vaccination of contacts against infection.


Subject(s)
COVID-19 , Vaccines , COVID-19 Vaccines , Family Characteristics , Humans , Netherlands/epidemiology , SARS-CoV-2
18.
Euro Surveill ; 26(42)2021 10.
Article in English | MEDLINE | ID: covidwho-1485004

ABSTRACT

The incidence of most respiratory-transmitted diseases decreased during the COVID-19 pandemic as a result of containment measures. In contrast, in the Netherlands we noted an increase in invasive disease caused by Haemophilus influenzae b (Hib) (from < 0.3/100,000 before 2019 to 0.39 and 0.33/100,000 in 2020 and 2021) in vaccinated and unvaccinated age groups. We did not find a change in vaccine effectiveness against Hib invasive disease (effectiveness > 90%). We discuss factors that may have contributed to this rise.


Subject(s)
COVID-19 , Haemophilus Infections , Haemophilus Vaccines , Haemophilus influenzae type b , Haemophilus Infections/epidemiology , Haemophilus Infections/prevention & control , Haemophilus influenzae , Humans , Infant , Netherlands/epidemiology , Pandemics , SARS-CoV-2
19.
PLoS Pathog ; 17(10): e1009928, 2021 10.
Article in English | MEDLINE | ID: covidwho-1484868

ABSTRACT

Non-specific protective effects of certain vaccines have been reported, and long-term boosting of innate immunity, termed trained immunity, has been proposed as one of the mechanisms mediating these effects. Several epidemiological studies suggested cross-protection between influenza vaccination and COVID-19. In a large academic Dutch hospital, we found that SARS-CoV-2 infection was less common among employees who had received a previous influenza vaccination: relative risk reductions of 37% and 49% were observed following influenza vaccination during the first and second COVID-19 waves, respectively. The quadrivalent inactivated influenza vaccine induced a trained immunity program that boosted innate immune responses against various viral stimuli and fine-tuned the anti-SARS-CoV-2 response, which may result in better protection against COVID-19. Influenza vaccination led to transcriptional reprogramming of monocytes and reduced systemic inflammation. These epidemiological and immunological data argue for potential benefits of influenza vaccination against COVID-19, and future randomized trials are warranted to test this possibility.


Subject(s)
COVID-19/immunology , Cross Protection/physiology , Immunity, Innate/physiology , Influenza Vaccines/administration & dosage , COVID-19/epidemiology , COVID-19/prevention & control , Cytokines/immunology , Cytokines/metabolism , Down-Regulation , Imidazoles/immunology , Incidence , Influenza Vaccines/immunology , Netherlands/epidemiology , Personnel, Hospital , Poly I-C/immunology , Proteomics , Risk Factors , Sequence Analysis, RNA
20.
BMJ Open ; 11(10): e051573, 2021 10 18.
Article in English | MEDLINE | ID: covidwho-1476605

ABSTRACT

OBJECTIVE: To study the SARS-CoV-2 infection rate among hospital healthcare workers after the first wave of the COVID-19 pandemic, and provide more knowledge in the understanding of the relationship between infection, symptomatology and source of infection. DESIGN: A cross-sectional study in healthcare workers. SETTING: Northern Limburg, the Netherlands. PARTICIPANTS: All employees of VieCuri Medical Center (n=3300) were invited to enrol in current study. In total 2507 healthcare workers participated. INTERVENTION: Between 22 June 2020 and 3 July 2020, participants provided venous blood samples voluntarily, which were tested for SARS-CoV-2 antibodies with the Wantai SARS-CoV-2 Ig total ELISA test. Work characteristics, exposure risks and prior symptoms consistent with COVID-19 were gathered through a survey. MAIN OUTCOME MEASURE: Proportion of healthcare workers with positive SARS-CoV-2 serology. RESULTS: The overall seroprevalence was 21.1% (n=530/2507). Healthcare workers between 17 and 30 years were more likely to have SARS-CoV-2 antibodies compared with participants >30 years. The probability of having SARS-CoV-2 antibodies was comparable for healthcare workers with and without direct patient (OR 1.42, 95% CI 0.86 to 2.34) and COVID-19 patient contact (OR 1.62, 95% CI 0.80 to 3.33). On the contrary, exposure to COVID-19 positive coworkers (OR 1.83, 95% CI 1.15 to 2.93) and household members (OR 6.09, 95% CI 2.23 to 16.64) was associated with seropositivity. Of those healthcare workers with SARS-CoV-2 antibodies, 16% (n=85/530) had not experienced any prior COVID-19-related symptoms. Only fever and anosmia were associated with seropositivity (OR 1.90, 95% CI 1.42 to 2.55 and OR 10.51, 95% CI 7.86 to 14.07). CONCLUSIONS: Healthcare workers caring for hospitalised COVID-19 patients were not at an increased risk of infection, most likely as a result of taking standard infection control measures into consideration. These data show that compliance with infection control measures is essential to control secondary transmission and constrain the spread of the virus.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , Cross-Sectional Studies , Health Personnel , Hospitals, Teaching , Humans , Netherlands/epidemiology , Pandemics , Seroepidemiologic Studies
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