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1.
Emerg Microbes Infect ; 12(1): e2156814, 2023 Dec.
Article in English | MEDLINE | ID: covidwho-2160828

ABSTRACT

By December 2021, administration of the third dose of COVID-19 vaccinations coincided with the spread of the Omicron variant in Europe. Questions had been raised on protection against infection conferred by previous vaccination and/or infection. Our study population included 252,433 participants from the COVID-19 vaccination registry in Malta. Data were then matched with the national testing database. We collected vaccination status, vaccine brand, vaccination date, infection history, and age. Using logistic regression, we examined different combinations of vaccine dose, prior infection status and time, and the odds of infection during the period when the Omicron variant was the dominant variant in Malta. Participants infected with Sars-Cov-2 prior to the Omicron wave had a significantly lower odds of being infected with the Omicron variant. Additionally, the more recent the infection and the more recent the vaccination, the lower the odds of infection. Receiving a third dose within 20 weeks of the start of the Omicron wave in Malta offered similar odds of infection as receiving a second dose within the same period. Time since vaccination was a strong determinant against infection, as was previous infection status and the number of doses taken. This finding reinforces the importance of future booster dose provision especially to vulnerable populations.


Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , Malta/epidemiology , COVID-19/prevention & control , SARS-CoV-2 , Adaptive Immunity
2.
Front Public Health ; 10: 1018505, 2022.
Article in English | MEDLINE | ID: covidwho-2065653

ABSTRACT

Background: Mortality may quantify a population's disease burden. Malta, like other European countries, experienced COVID-19 surges in cases and mortality across the pandemic. This study assesses COVID-19's mortality impact, while exploring the effects of the four dominant COVID-19 variants and that of the vaccination coverage on the Maltese population. Methods: COVID-19 data (cases, mortality, positivity, and vaccination rates) was obtained from the websites of the European Center for Disease Prevention and Control and the Malta Ministry of Health. Data was categorized into the four periods according to reported dominant COVID-19 variant. Years of life lost (YLL) and Case-Fatality-Ratio (CFR) for each period were estimated. CFR was also estimated for the pre-vaccine and post-vaccine periods. Results: The original COVID-19 period (36 weeks) had the highest YLL (4,484), followed by the Omicron variant period (12 weeks; 1,398). The Alpha variant period (7 weeks) had the highest CFR (1.89%) followed by the Original COVID-19 (1.35%). The pre-vaccine (1.59%) period had higher CFR than the post-vaccine period (0.67%). Conclusion: Various factors contributed to mortality, but the variant's infectivity, transmissibility, and the effectiveness of the vaccine against the variant play an important role. Reducing mortality by embracing mass vaccination that targets current variants along with other non-pharmaceutical interventions remains paramount.


Subject(s)
COVID-19 , Vaccines , COVID-19/epidemiology , COVID-19/prevention & control , Humans , Malta/epidemiology , SARS-CoV-2
3.
JMIR Public Health Surveill ; 8(12): e37669, 2022 Dec 05.
Article in English | MEDLINE | ID: covidwho-2065306

ABSTRACT

BACKGROUND: In late 2020, the European Centre for Disease Prevention and Control and Epiconcept started implementing a surveillance system for severe acute respiratory infections (SARI) across Europe. OBJECTIVE: We sought to describe the process of digitizing and upgrading SARI surveillance in Malta, an island country with a centralized health system, during the COVID-19 pandemic from February to November 2021. We described the characteristics of people included in the surveillance system and compared different SARI case definitions, including their advantages and disadvantages. This study also discusses the process, output, and future for SARI and other public health surveillance opportunities. METHODS: Malta has one main public hospital where, on admission, patient data are entered into electronic records as free text. Symptoms and comorbidities are manually extracted from these records, whereas other data are collected from registers. Collected data are formatted to produce weekly and monthly reports to inform public health actions. From October 2020 to February 2021, we established an analogue incidence-based system for SARI surveillance. From February 2021 onward, we mapped key stakeholders and digitized most surveillance processes. RESULTS: By November 30, 2021, 903 SARI cases were reported, with 380 (42.1%) positive for SARS-CoV-2. Of all SARI hospitalizations, 69 (7.6%) were admitted to the intensive care unit, 769 (85.2%) were discharged, 27 (3%) are still being treated, and 107 (11.8%) died. Among the 107 patients who died, 96 (89.7%) had more than one underlying condition, the most common of which were hypertension (n=57, 53.3%) and chronic heart disease (n=49, 45.8%). CONCLUSIONS: The implementation of enhanced SARI surveillance in Malta was completed by the end of May 2021, allowing the monitoring of SARI incidence and patient characteristics. A future shift to register-based surveillance should improve SARI detection through automated processes.


Subject(s)
COVID-19 , Influenza, Human , Humans , Pandemics , SARS-CoV-2 , Influenza, Human/epidemiology , COVID-19/epidemiology , Malta/epidemiology
4.
Health Policy ; 126(4): 281-286, 2022 04.
Article in English | MEDLINE | ID: covidwho-1773338

ABSTRACT

The aim of this paper is to compare the impact of the COVID-19 pandemic on four small countries in the southern half of Europe with similar public health systems: San Marino, Montenegro, Malta and Cyprus, the latter two being island states. There are advantages and disadvantages in being a small nation amidst this crisis. The centralized public health administration means that small countries are faster at adapting as they learn and evolve on a weekly basis. However, small countries tend to be dependent on their bigger neighbours, and the networks they belong to, for trade, food, medical supplies as well as policies. The risk threshold taken by a small country for the transition strategy has to be less than that taken by a bigger country because if things go wrong in a border region, there is less resilience in a small country, with immediate impact on the whole country. The blow to the tourism industry, which plays a main role especially in small countries, negatively impacted the economy, and it has been a feat to reach a balance between allowing the flow of inbound tourists and keeping the local infection rates under control.


Subject(s)
COVID-19 , Cyprus/epidemiology , Humans , Malta/epidemiology , Montenegro/epidemiology , Pandemics , San Marino
5.
Eur J Public Health ; 32(2): 316-321, 2022 04 01.
Article in English | MEDLINE | ID: covidwho-1604433

ABSTRACT

BACKGROUND: COVID-19 became a global pandemic within weeks, as every country including small states and islands experienced a surge in cases. Small islands are known to face several challenges in the quest to curb the viral spread, but with the absence of land boarders and small population size, these factors should have played to their advantage to minimize the spread. The aim of this article was to compare and contrast the COVID-19 situation, restrictions, preparedness, management and the healthcare systems between the small population island states of Cyprus, Iceland and Malta. METHODS: Data were obtained from Ministry of Health websites and COVID dashboards of the three respective Island states in Europe. Comparisons were made between the reported cases, deaths, excess deaths, years of life lost, swabbing rates, restrictive measures, vaccination roll-out and healthcare system structures. RESULTS: Cyprus and Malta contained the COVID-19 spread better than Iceland during the first wave. However, a significantly higher viral spread and mortality rates were observed in Malta during the second waves. Similar healthcare preparedness and services, restrictions and relaxation measures were implemented across the three islands with some exceptions. Covid-19 vaccination has initiated across all Islands with Malta leading the vaccination roll-out. CONCLUSION: The small population size and island status proved to be an asset during the first wave of COVID-19, but different governance approaches led to a different COVID-19 outcomes, including high mortality rates during the transition phases and the subsequent waves.


Subject(s)
COVID-19 , COVID-19/epidemiology , COVID-19 Vaccines , Cyprus , Humans , Iceland/epidemiology , Malta/epidemiology
6.
Community Dent Health ; 38(4): 226-229, 2021 Nov 29.
Article in English | MEDLINE | ID: covidwho-1562420

ABSTRACT

Initial impetus for action: Maltese Oral Health Care Professionals (OHCP) experienced changes to clinical practice and redeployment during the COVID-19 pandemic. In the early stages, there were few data on the resultant changes to the provision of dental services or their impact on the wellbeing of dental professionals. Solutions Suggested: Two questionnaires were designed to explore different domains in OHCP working on the frontline of the COVID-19 pandemic as well as in other areas/sectors. The findings were intended to inform guidance documents and to better support the profession. Findings: Anxiety-provoking factors, challenges, and areas of concern of OHCP were identified and practical recommendations to support transitioning to the 'new normal' were presented. OHCP expressed anxiety about contracting COVID-19 from their workplace and passing infection to other family members, friends, or patients. As a result, OHCP expressed the need for better protective clothing, workplace ventilation, and air filtration systems. Future implications: Provision of adequate PPE for OHCP was a priority. New guidelines for dental practice were informed by the experiences of the particpating OHCP. University modules to enhance the resilience of OHCP were among the recommendations to support practitioners.


Subject(s)
COVID-19 , Pandemics , Health Personnel , Humans , Malta/epidemiology , Public Health , SARS-CoV-2
7.
BMC Public Health ; 21(1): 1827, 2021 10 09.
Article in English | MEDLINE | ID: covidwho-1463245

ABSTRACT

BACKGROUND: Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality, allowing for comprehensive comparisons of the population. The aim was to estimate the DALYs due to Covid-19 in Malta (March 2020-21) and investigate its impact in relation to other causes of disease at a population level. METHODS: Mortality and weekly hospital admission data were used to calculate DALYs, based on the European Burden of Disease Network consensus Covid-19 model. Covid-19 infection duration of 14 days was considered. Sensitivity analyses for different morbidity scenarios, including post-acute consequences were presented. RESULTS: An estimated 70,421 people were infected (with and without symptoms) by Covid-19 in Malta (March 2020-1), out of which 1636 required hospitalisation and 331 deaths, contributing to 5478 DALYs. These DALYs positioned Covid-19 as the fourth leading cause of disease in Malta. Mortality contributed to 95% of DALYs, while post-acute consequences contributed to 60% of morbidity. CONCLUSIONS: Covid-19 over 1 year has impacted substantially the population health in Malta. Post-acute consequences are the leading morbidity factors that require urgent targeted action to ensure timely multidisciplinary care. It is recommended that DALY estimations in 2021 and beyond are calculated to assess the impact of vaccine roll-out and emergence of new variants.


Subject(s)
COVID-19 , Disabled Persons , Cost of Illness , Humans , Malta/epidemiology , Quality-Adjusted Life Years , SARS-CoV-2
8.
Public Health ; 198: 270-272, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1406326

ABSTRACT

OBJECTIVES: COVID-19 is a health burden threatening the elderly and those with comorbidities. Malta is an ageing and cardiometabolic country. The study depicts how Malta protected the elderly and the effect of vaccination on this subpopulation. STUDY DESIGN: Observational study with quantitative analyses. METHOD: Data were obtained from Malta's COVID dashboard, Institute for Health Metrics and Evaluation and Maltese newspapers. The case-fatality ratio (CFR) and Years of Life Lost (YLLs) for COVID were calculated. Comparisons were made between COVID-19 mortality and YLL to the pre-COVID leading mortality causes. Comparative observations were made between positive and mortality cases stratified by age groups in relation to the cumulative vaccination doses. RESULTS: The elderly were cocooned during the first wave (CFR 0.98) through the Vulnerable Act, with only 10.80% of positive cases and seven out nine deaths above 65 years. The Vulnerable Act was not reinstated again, with 13.68% of positive cases and 91.34% (n = 369) of deaths above 65 years during the second wave (CRF 1.39). The elderly were given priority in COVID-19 vaccination rollout leading to an inverse relationship between positive cases/mortality and vaccination coverage. CONCLUSION: The elderly should be protected with timely restrictions to reduce morbidity, mortality and burden on healthcare systems. Vaccination is key to protecting the elderly, although mitigation measures, such as physical distancing, are still required to prevent the resurgence of infections and hospitalizations, especially in this group.


Subject(s)
COVID-19 , Pandemics , Aged , COVID-19 Vaccines , Humans , Malta/epidemiology , Pandemics/prevention & control , SARS-CoV-2
10.
Musculoskeletal Care ; 20(1): 145-150, 2022 03.
Article in English | MEDLINE | ID: covidwho-1258092

ABSTRACT

BACKGROUND: Back pain is the commonest musculoskeletal complaint across the world. The Covid-19 pandemic led to mitigating measures including remote working that enhanced a sedentary lifestyle. The aim of this study was to investigate whether back pain complaints have increased from pre-Covid-19 to during the Covid-19 period among the adult population of Malta, while exploring the possible contributing factors. METHODS: An online survey was distributed through social media targeting the adult population of Malta. Questions on sociodemographic data, occurrence of back pain pre-Covid-19 and since the onset of Covid-19 was gathered, along with changes in behavioural attitudes, daily routine and physical activity. Descriptive and multiple logistic regression analyses were performed. RESULTS: Out of the 388 responders, 30% experienced chronic back pain pre-Covid-19, 49% experienced back pain since Covid-19, with the majority of the latter claiming that they never experienced back pain before Covid-19. Significant changes were present in daily routine and physical activity (PA) patterns. Indeed, continuously sitting down (OR: 15.53; p ≤ 0.01), no PA (OR: 4.22; p ≤ <0.01), once a week PA (OR: 5.74; p ≤ <0.01), two to three times PA a week (OR: 2.58; p = 0.05) and four to five PA a week (OR: 3.46; p = 0.02) were associated with experiencing new onset back pain since the onset of Covid-19, when adjusted for sex, age, education and employment status. CONCLUSION: The pandemic has changed population behaviour resulting in an enhanced back pain occurrence. This is anticipated to impact the individual's disability adjusted life years as well as increase the burden on the economy and healthcare services. A designated multidisciplinary action plan is recommended to reduce back pain impact.


Subject(s)
COVID-19 , Pandemics , Adult , Back Pain/epidemiology , COVID-19/epidemiology , Humans , Malta/epidemiology , SARS-CoV-2
11.
Public Health ; 192: 33-36, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1039535

ABSTRACT

OBJECTIVES: Multimorbidity, defined as the co-occurrence of at least two chronic diseases, is a common occurrence with ageing and a recognised public health concern, especially during the COVID-19 pandemic. The multimorbidity population is more susceptible to the virus, its complications, and death. The study aimed to explore the multimorbidity characteristics and their associations at a population level for the first time in Malta. Such data enables adequate priority and policy planning due to COVID-19's predilection for this population. STUDY AND METHODS: Baseline data was collected from 3,947 adults recruited between 2014-2016 through a cross-sectional study. A single-stage sampling strategy was implemented and stratified by age (18 -70 years), sex and locality. Participants were invited to attend a health examination survey consisting of a questionnaire, anthropometric and biological measurements. Descriptive (chi-square) and analytic (regression modelling) statistics were used to determine the characteristics and associations of the multimorbidity population. The chronic diseases considered for multimorbidity were type 2 diabetes, obesity, hypertension, myocardial infraction, coronary heart disease and dyslipidaemia. RESULTS: Multimorbidity was present in 33% (95% confidence interval 31.54-34.47) of the study population, with a male predominance. Hypertension and myocardial infarction were the commonest multimorbidity combination from a young age group (20-30 years). Low socio-economic status and residing on the island of Gozo were positively associated with multimorbidity. CONCLUSION: Multimorbidity in Malta was evident from a young age, with the highest occurrence among the low socio-economic status and residents of Gozo, bringing forward the need for preventive action. An adaptive healthcare system and policies are recommended to prevent, support, and manage multimorbidity non-communicable diseases while bracing for the current COVID-19 pandemic.


Subject(s)
Aging , COVID-19/epidemiology , Chronic Disease/epidemiology , Adolescent , Adult , Aged , Coronary Disease/epidemiology , Cross-Sectional Studies , Diabetes Mellitus, Type 2/epidemiology , Dyslipidemias/epidemiology , Female , Health Surveys , Humans , Hypertension/epidemiology , Male , Malta/epidemiology , Middle Aged , Multimorbidity , Myocardial Infarction/epidemiology , Noncommunicable Diseases/epidemiology , Obesity/epidemiology , Pandemics , Population Health , Risk Factors , SARS-CoV-2 , Social Class , Young Adult
12.
Int J Qual Health Care ; 33(1)2021 Feb 20.
Article in English | MEDLINE | ID: covidwho-975291

ABSTRACT

INTRODUCTION: COVID-19 has challenged healthcare systems worldwide. Some countries collapsed under surge conditions, while others (such as Malta) showed resilience. Public health measures in Malta quickly reined in COVID-19 spread. This review summarizes pandemic preparedness measures in Malta and the impact on routine services. METHODS: A literature search was conducted using Google, Google Scholar and PubMed and by reviewing Maltese online newspapers. A comprehensive summary of internal operations conducted at Mater Dei Hospital (MDH) was made available. RESULTS: A hospital 'Incident Command Group' was set up to plan an optimal COVID-19 response strategy. A 'rapid response team' was also created to cater for the logistics and management of supplies. A 'COVID-19 Emergency Operation Centre' simulated different COVID-19 scenarios. All elective services were suspended and all staff were mandatorily trained in wearing personal protective equipment. Staff were also retrained in the care of COVID-19 patients. In preparation for potential admission surges, MDH underwent rapid expansion of normal and intensive care beds. Swabbing was ramped up to one of the highest national rates worldwide. The cost for hospital COVID-19 preparedness exceeded €100 million for Malta's half a million population. CONCLUSION: Malta and its sole acute hospital coped well with the first wave with 680 cases and 9 deaths. The increased ability to deal with COVID-19 (a principally respiratory pathogen) will serve well for the anticipated combined annual influenza and the COVID-19 second wave this coming winter.


Subject(s)
COVID-19/epidemiology , Hospitals, Public/organization & administration , Humans , Malta/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , SARS-CoV-2
13.
J Community Health ; 46(3): 618-625, 2021 06.
Article in English | MEDLINE | ID: covidwho-770648

ABSTRACT

The second COVID-19 wave is sweeping the globe as restrictions are lifted. Malta, the 'poster child of Europe's COVID-19 first wave success' also fell victim shortly after it welcomed the first tourists on 1st of July 2020. Only four positive cases were reported over the successive 15 days. Stability was disrupted when two major mass events were organized despite various health professional warnings. In a matter of few just days, daily cases rose to two-digit figures, with high community transmission, a drastic rise in active cases, and a rate per hundred thousand in Europe second only to Spain. Frontliners were swamped with swabbing requests while trying to sustain robust case management, contact tracing and follow-up. Indeed, the number of hospitalizations and the need for intensive ventilation increased. Despite the initial cases were among young adults, within weeks a small spill off on the more elderly population was observed. Restrictions were re-introduced including mandatory mask wearing in specific locations and capping of the total number of people in a single gathering. Malta is an island and the potential for containment would have been relatively simple and effective and permitting mass gatherings was unwise. Protecting the health of the population should take centre stage while carrying out extensive testing, contact tracing and surveillance. Containment and mitigation along with public cooperation is the key to curbing resurgences especially with the influenza season around the corner.


Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Crowding , Pandemics , Adolescent , Adult , Aged , COVID-19/prevention & control , Contact Tracing , Humans , Malta/epidemiology , Pandemics/prevention & control , Public Health Surveillance , Young Adult
14.
Early Hum Dev ; 145: 105043, 2020 06.
Article in English | MEDLINE | ID: covidwho-47290

ABSTRACT

The world is in the grip of pandemic COVID-19 (SARS-CoV-2). Children appear to be only mildly affected but for those countries that are still preparing for their first wave of infections, it is salutary to have some estimates with which to plan for eventual contingencies. These assessments would include acute hospital admission requirements, intensive care admissions and deaths per given population. It is also useful to have an estimate of how many paediatric admissions to expect per given population. However it is only very recently that paediatric epidemiological data has become available. This paper will create an interactive spreadsheet model to estimate population and paediatric admissions for a given population, with the author's country, Malta, as a worked example for both.


Subject(s)
Coronavirus Infections/epidemiology , Patient Admission/statistics & numerical data , Pneumonia, Viral/epidemiology , Adolescent , COVID-19 , Child , Child, Preschool , Cohort Studies , Coronavirus Infections/therapy , Humans , Infant , Malta/epidemiology , Pandemics/statistics & numerical data , Pneumonia, Viral/therapy
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