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1.
Emerg Infect Dis ; 30(10): 2006-2015, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39320128

RESUMO

We investigated differences in risk factors and preventive behaviors by age and sex among persons with reported Lyme disease in Ontario, Canada, during 2015-2022. Incidence rates peaked among children 5-9 and adults 50-79 years of age. Median age was higher for female than male case-patients (54 vs. 51 years). Male case-patients reported more activity in wooded and tall grass areas than did female case-patients; fewer male case-patients reported sharing living space with outdoor-exposed companion animals. As age increased, more case-patients reported activity in blacklegged tick habitats, exposure to ticks, and wearing adequate clothing, but fewer reported sharing living space with outdoor-exposed companion animals. Adoption of preventive behaviors was relatively low and did not differ by sex. Male case-patients, children 5-9 years of age and their parents or caregivers, and adults >59 years of age represent populations that would benefit from tailored public health messaging on Lyme disease prevention.


Assuntos
Doença de Lyme , Humanos , Doença de Lyme/epidemiologia , Masculino , Feminino , Pessoa de Meia-Idade , Ontário/epidemiologia , Pré-Escolar , Idoso , Adulto , Criança , Adulto Jovem , Adolescente , Fatores Etários , Fatores Sexuais , Fatores de Risco , Comportamentos Relacionados com a Saúde , Idoso de 80 Anos ou mais , Lactente , Incidência , Animais , História do Século XXI
2.
Euro Surveill ; 29(41)2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39391999

RESUMO

BackgroundLate outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.AimTo systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.MethodsWe studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was -2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.ResultsWe identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04-4.13).ConclusionsThe timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.


Assuntos
COVID-19 , Surtos de Doenças , Assistência de Longa Duração , Casas de Saúde , SARS-CoV-2 , Humanos , COVID-19/epidemiologia , COVID-19/mortalidade , Ontário/epidemiologia , Assistência de Longa Duração/estatística & dados numéricos , Idoso , Surtos de Doenças/estatística & dados numéricos , Feminino , Casas de Saúde/estatística & dados numéricos , Masculino , Idoso de 80 Anos ou mais , Incidência , Estudos de Coortes , Fatores de Risco , Instituição de Longa Permanência para Idosos/estatística & dados numéricos
3.
Euro Surveill ; 29(7)2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38362622

RESUMO

The Canadian Sentinel Practitioner Surveillance Network reports mid-season 2023/24 influenza vaccine effectiveness (VE) of 63% (95% CI: 51-72) against influenza A(H1N1)pdm09, lower for clade 5a.2a.1 (56%; 95% CI: 33-71) than clade 5a.2a (67%; 95% CI: 48-80), and lowest against influenza A(H3N2) (40%; 95% CI: 5-61). The Omicron XBB.1.5 vaccine protected comparably well, with VE of 47% (95% CI: 21-65) against medically attended COVID-19, higher among people reporting a prior confirmed SARS-CoV-2 infection at 67% (95% CI: 28-85).


Assuntos
COVID-19 , Vírus da Influenza A Subtipo H1N1 , Vacinas contra Influenza , Influenza Humana , Humanos , Influenza Humana/epidemiologia , Influenza Humana/prevenção & controle , Estações do Ano , Vírus da Influenza A Subtipo H3N2/genética , Eficácia de Vacinas , Canadá/epidemiologia , Vigilância de Evento Sentinela , Vacinação , Estudos de Casos e Controles
4.
Int J Prison Health (2024) ; ahead-of-print(ahead-of-print)2024 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-38888194

RESUMO

PURPOSE: The physical environment of correctional facilities promote infectious disease transmission and outbreaks. The purpose of this study is to compare the COVID-19 burden between the correctional facility (incarcerated individuals and staff members) and non-correctional facility population in Ontario during the COVID-19 pandemic. DESIGN/METHODOLOGY/APPROACH: All individuals in Ontario with a laboratory confirmation of SARS-CoV-2 between 15 January 2020 and 31 December 2022 and entered into the provincial COVID-19 data were included. Cases were classified as a correctional facility case (living or working in a correctional facility) or a non-correctional facility case. COVID-19 vaccination status was obtained from the provincial COVID-19 vaccine registry. Statistics Canada census data were used to calculate COVID-19 incidence and hospitalization rates for incarcerated cases and the non-correctional facility population. FINDINGS: Between 15 January 2020 and 31 December 2022, there were 1,550,045 COVID-19 cases in Ontario of which 8,292 (0.53%) cases were reported in correctional (63.8% amongst incarcerated individuals, 18.6% amongst staff and 17.7% amongst an unknown classification) and 1,541,753 (99.47%) were non-correctional facility cases. Most cases in correctional facilities were men (83.8%) and aged 20-59 years (93.1%). COVID-19 incidence and hospitalization rates were generally higher among incarcerated individuals compared to the non-correctional facility population throughout the study period. COVID-19 incidence peaked in January 2022 for both the correctional facility population (21,543.8 per 100,000 population) and the non-correctional facility population (1915.1 per 100,000 population). The rate of COVID-19 hospitalizations peaked for the correctional facility population aged 20-59 in March 2021 (70.7 per 100,000 population) and in April 2021 for the non-correctional facility population aged 20-59 (19.8 per 100,000 population). A greater percentage of incarcerated individuals (73.0%) were unvaccinated at time of their COVID-19 diagnosis compared to the non-correctional facility population (49.3%). Deaths amongst correctional facility cases were rare (0.1%, 6 / 8,292) compared to 1.0% of non-correctional facility cases (n = 15,787 / 1,541,753). ORIGINALITY/VALUE: During the COVID-19 pandemic, individuals incarcerated in correctional facilities in Ontario had higher COVID-19 incidence and hospitalization rates compared to the non-correctional facility population. These results support prioritizing incarcerated individuals for public health interventions to mitigate COVID-19 impacts in correctional facilities.


Assuntos
COVID-19 , Humanos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Ontário/epidemiologia , Masculino , Adulto , Feminino , Pessoa de Meia-Idade , Estudos Retrospectivos , Incidência , Adulto Jovem , Estabelecimentos Correcionais , Hospitalização/estatística & dados numéricos , SARS-CoV-2 , Adolescente , Prisioneiros/estatística & dados numéricos , Idoso , Prisões/estatística & dados numéricos
5.
Int J Cancer ; 127(12): 2936-48, 2010 Dec 15.
Artigo em Inglês | MEDLINE | ID: mdl-21351272

RESUMO

Statins, prescribed for decades to control cholesterol, have more recently been shown to have promising anticancer activity. Statins induce tumor-selective apoptosis by inhibiting the mevalonate (MVA) pathway. In addition, we have recently demonstrated that lovastatin modulates drug accumulation in a MVA-independent manner in multidrug-resistant (MDR) tumor cells overexpressing the P-glycoprotein (P-gp) multidrug transporter. P-gp-mediated drug efflux can contribute to chemotherapy failure. However, direct statin-mediated inhibition of P-gp in human MDR tumor cells at clinically achievable concentrations remains unexplored. An understanding of these interactions is crucial, both to appreciate differences in the anticancer potential of different statins and to safely and effectively integrate statins into traditional chemotherapy regimens that include P-gp substrates. Here we evaluate interactions between 4 statins (lovastatin, atorvastatin, fluvastatin and rosuvastatin) and P-gp, at both the molecular level using purified P-gp and at the cellular level using human MDR tumor cells. Lovastatin bound directly to purified P-gp with high affinity and increased doxorubicin accumulation in MDR tumor cells, potentiating DNA damage, growth arrest and apoptosis. By contrast, while atorvastatin inhibited substrate transport by purified P-gp in proteoliposomes, it had no effect on doxorubicin transport in MDR tumor cells. Finally, fluvastatin and rosuvastatin only interacted with P-gp in vitro at high concentrations and did not inhibit doxorubicin transport in MDR cells. These differential interactions should be considered when combining statins with traditional chemotherapeutic drugs.


Assuntos
Membro 1 da Subfamília B de Cassetes de Ligação de ATP/metabolismo , Antineoplásicos/farmacologia , Doxorrubicina/farmacologia , Resistência a Múltiplos Medicamentos/efeitos dos fármacos , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacos , Inibidores de Hidroximetilglutaril-CoA Redutases/farmacologia , Neoplasias Ovarianas/tratamento farmacológico , Apoptose/efeitos dos fármacos , Atorvastatina , Western Blotting , Proliferação de Células/efeitos dos fármacos , Ácidos Graxos Monoinsaturados/farmacologia , Feminino , Fluorbenzenos/farmacologia , Fluvastatina , Ácidos Heptanoicos/farmacologia , Humanos , Indóis/farmacologia , Lovastatina/farmacologia , Neoplasias Ovarianas/metabolismo , Neoplasias Ovarianas/patologia , Pirimidinas/farmacologia , Pirróis/farmacologia , Rosuvastatina Cálcica , Sulfonamidas/farmacologia , Células Tumorais Cultivadas
6.
BMJ Glob Health ; 4(5): e001831, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31749999

RESUMO

INTRODUCTION: Typhoid fever is one of the most common bacterial causes of acute febrile illness in the developing world, with an estimated 10.9 million new cases and 116.8 thousand deaths in 2017. Typhoid point-of-care (POC) diagnostic tests are widely used but have poor sensitivity and specificity, resulting in antibiotic overuse that has led to the emergence and spread of multidrug-resistant strains. With recent advances in typhoid surveillance and detection, this is the ideal time to produce a target product profile (TPP) that guides product development and ensure that a next-generation test meets the needs of users in the resource-limited settings where typhoid is endemic. METHODS: A structured literature review was conducted to develop a draft TPP for a next-generation typhoid diagnostic test with minimal and optimal desired characteristics for 36 test parameters. The TPP was refined using feedback collected from a Delphi survey of key stakeholders in clinical medicine, microbiology, diagnostics and public and global health. RESULTS: A next-generation typhoid diagnostic test should improve patient management through the diagnosis and treatment of infection with acute Salmonella enterica serovars Typhi or Paratyphi with a sensitivity ≥90% and specificity ≥95%. The test would ideally be used at the lowest level of the healthcare system in settings without a reliable power or water supply and provide results in <15 min at a cost of

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