COVID-19 Mortality in Public Hospitals in a Brazilian State: An Analysis of the Three Waves of the Pandemic.

OBJECTIVE: To analyze COVID-19 deaths in public hospitals in a Brazilian state, stratified by the three waves of the pandemic, and to test their association with socio-clinical variables. METHODS: Observational analytical study, where 5436 deaths by COVID-19 occurred in hospitals of the public network of Espírito Santo, between 1 April 2020, and 31 August 2021, stratified by the three waves of the pandemic, were analyzed. For the bivariate analyses, the Pearson's chi-square, Fisher's Exact or Friedman's tests were performed depending on the Gaussian or non-Gaussian distribution of the data. For the relationship between time from diagnosis to death in each wave, quantile regression was used, and multinomial regression for multiple analyses. RESULTS: The mean time between diagnosis and death was 18.5 days in the first wave, 20.5 days in the second wave, and 21.4 days in the third wave. In the first wave, deaths in public hospitals were associated with the following variables: immunodeficiency, obesity, neoplasia, and origin. In the second wave, deaths were associated with education, O2 saturation < 95%, chronic neurological disease, and origin. In the third wave, deaths were associated with race/color, education, difficulty breathing, nasal or conjunctival congestion, irritability or confusion, adynamia or weakness, chronic cardiovascular disease, neoplasms, and diabetes mellitus. Origin was associated with the outcome in the three waves of the pandemic, in the same way that education was in the second and third waves (p < 0.05). CONCLUSION: The time interval between diagnosis and death can be impacted by several factors, such as: plasticity of the health system, improved clinical management of patients, and the start of vaccination at the end of January 2021, which covered the age group with the higher incidence of deaths. The deaths occurring in public hospitals were associated with socio-clinical characteristics.

A policy review of the introduction of the MenACWY vaccine in toddlers across multiple countries.

INTRODUCTION: Immunization is the best strategy to protect individuals from invasive meningococcal disease (IMD). To support decision-making around immunization, this paper considers what has led four countries and regions of two more to introduce the quadrivalent MenACWY vaccine in toddlers (ages 12-24 months). AREAS COVERED: A narrative literature review was conducted to identify countries that have introduced a MenACWY vaccination program for toddlers. Information from peer-reviewed publications, reports, and policy documents for each identified country was extracted. Australia, Chile, the Netherlands, Switzerland, and regions of Italy and Spain have introduced the MenACWY vaccine in their toddler programs, driven by the rising incidence of MenW and MenY and the vaccine's ability to provide protection against other serogroups. Australia and the Netherlands considered the economic impacts of implementing a MenACWY toddler vaccination program. Vaccination uptake and effects are reported for three countries; however, in two, isolating the vaccine's effect from the collateral effect of COVID-related measures is difficult. EXPERT OPINION: Increased convergence of vaccination policies and programs is needed internationally, as IMD recognizes no borders.PL AIN LANGUAGE SUMMARYVaccination is the best defense against meningitis, a deadly disease. While someone of any age can contract it, children 0-24 months of age are disproportionately affected. The increasing number of cases of meningitis has led four countries plus regions of two more to introduce into their vaccination schedules for toddlers (ages 12-24 months) a vaccine that protects against four different serogroups rather than one serogroup alone. This paper considers what has driven that shift.

Epidemiology Surveillance and Capacity Improvement: A Characterization of Texas, 2017.

OBJECTIVES: In response to increasing caseloads of foodborne illnesses and high consequence infectious disease investigations, the Texas Department of State Health Services (DSHS) requested funding from the Texas Legislature in 2013 and 2015 for a new state-funded epidemiologist (SFE) program. METHODS: Primary cross-sectional survey data were collected from 32 of 40 local health departments (LHDs) via an online instrument and analyzed to quantify roles, responsibilities, and training of epidemiologists in Texas in 2017 and compared to similar state health department assessments. RESULTS: Sixty-six percent of SFEs had epidemiology-specific training (eg, master's in public health) compared to 45% in state health department estimates. For LHDs included in this study, the mean number of epidemiologists per 100 000 was 0.73 in medium LHDs and 0.46 in large LHDs. SFE positions make up approximately 40% of the LHD epidemiology workforce of all sizes and 56% of medium-sized LHD epidemiology staff in Texas specifically. CONCLUSIONS: Through this program, DSHS increased epidemiology capacity almost twofold from 0.28 to 0.47 epidemiologists per 100 000 people. These findings suggest that capacity funding programs like this improve epidemiology capacity in local jurisdictions and should be considered in other regions to improve general public health preparedness and epidemiology capacity.