Factors associated with COVID-19 vaccination among pregnant women in Rio De Janeiro City, Brazil.

COVID-19 vaccination during pregnancy is safe and effective in reducing the risk of complications. However, the uptake is still below targets worldwide. This study aimed to explore the factors associated with COVID-19 vaccination uptake among pregnant women since data on this topic is scarce in low-to-middle-income countries. A retrospective cohort study included linked data on COVID-19 vaccination and pregnant women who delivered a singleton live birth from August 1, 2021, to July 31, 2022, in Rio de Janeiro City, Brazil. Multiple logistic regression was performed to identify factors associated with vaccination during pregnancy, applying a hierarchical model and describing odds ratio with 95% confidence intervals. Of 65,304 pregnant women included in the study, 53.0% (95% CI, 52-53%) received at least one dose of COVID-19 vaccine during pregnancy. Higher uptake was observed among women aged older than 34 (aOR 1.21, 95%CI 1.15-1.28), black (aOR 1.10, 1.04-1.16), or parda/brown skin colour (aOR 1.05, 1.01-1.09), with less than eight years of education (aOR 1.09, 1.02-1.17), living without a partner (aOR 2.24, 2.16-2.34), more than six antenatal care appointments (aOR 1.92, 1.75-2.09), and having a previous child loss (OR 1.06, 1.02-1.11). These results highlight the need for targeted educational campaigns, trustful communication, and accessibility strategies for specific populations to improve vaccination uptake during pregnancy.

Phylodynamic analysis of SARS-CoV-2 spread in Rio de Janeiro, Brazil, highlights how metropolitan areas act as dispersal hubs for new variants.

During the first semester of 2021, all of Brazil has suffered an intense wave of COVID-19 associated with the Gamma variant. In July, the first cases of Delta variant were detected in the state of Rio de Janeiro. In this work, we have employed phylodynamic methods to analyse more than 1 600 genomic sequences of Delta variant collected until September in Rio de Janeiro to reconstruct how this variant has surpassed Gamma and dispersed throughout the state. After the introduction of Delta, it has initially spread mostly in the homonymous city of Rio de Janeiro, the most populous of the state. In a second stage, dispersal occurred to mid- and long-range cities, which acted as new close-range hubs for spread. We observed that the substitution of Gamma by Delta was possibly caused by its higher viral load, a proxy for transmissibility. This variant turnover prompted a new surge in cases, but with lower lethality than was observed during the peak caused by Gamma. We reason that high vaccination rates in the state of Rio de Janeiro were possibly what prevented a higher number of deaths.

[COVID-19 emergency operations center: experience of the Rio de Janeiro municipality, BrazilCentro de operaciones de emergencia en respuesta a la COVID-19: la experiencia del municipio de Rio de Janeiro]. / Centro de operações de emergência na COVID-19: a experiência do município do Rio de Janeiro.

The present report describes the implementation of an emergency operations center to coordinate the response to the COVID-19 pandemic in the municipality of Rio de Janeiro, Brazil. Following the public health emergency management framework proposed by the World Health Organization (WHO), this temporary center (COE COVID-19 RIO) started operating in January 2021. The report is organized along five themes: legal framework; structure, planning, and procedures; institutional articulation; health information for decision-making; and risk communication. Major advances obtained with the initiative include improvements in governance for the management of COVID-19, increase in the synergy among sectors and institutions, improved information sharing in relation to COVID-19 prevention and control measures, innovation in epidemiologic analyses, and gains in transparency and decision-making opportunities. In conclusion, even if conceived at an advanced stage of the pandemic in the municipality of Rio de Janeiro, the COE COVID-19 RIO has played a relevant role in shaping the city's responses to the pandemic. Also, despite its temporary character, the experience will leave a lasting legacy for the management of future public health emergencies in the municipality of Rio de Janeiro.

En el presente artículo se describe la experiencia al establecerse un centro de operaciones de emergencia (COE) para coordinar la respuesta a la pandemia de COVID-19 en el municipio de Rio de Janeiro (Brasil). Siguiendo el modelo de gestión de emergencias de salud pública promovido por la Organización Mundial de la Salud (OMS), este centro temporal se activó en enero del 2021. El informe se estructuró con base en cinco ejes temáticos: marco legal; estructura, planes y procedimientos; articulaciones institucionales; información en materia de salud para sustentar las decisiones; y comunicación sobre riesgos. Entre los principales avances relacionados con esta iniciativa cabe destacar los adelantos en cuanto a la gobernanza para organizar la forma de enfrentar la COVID-19, el aumento de la sinergia entre los sectores y las instituciones correspondientes, un mayor intercambio de información sobre las medidas de prevención y control de la enfermedad, innovación en los análisis epidemiológicos, mayor transparencia en la toma de decisiones y decisiones tomadas de manera más oportuna. Se llegó a la conclusión de que este COE, a pesar de que había sido establecido en una fase avanzada de la pandemia en la ciudad, tuvo un papel importante en la estructuración de la respuesta. Sin embargo, a pesar de su carácter temporal, la experiencia demostró ser un importante legado para enfrentar futuras emergencias de salud pública en el municipio de Rio de Janeiro.

Measles epidemic in Brazil in the post-elimination period: Coordinated response and containment strategies.

The measles virus circulation was halted in Brazil in 2001 and the country has a routine vaccination coverage against measles, mumps and rubella higher than 95%. In Ceará, the last confirmed case was in 1999. This article describes the strategies adopted and the effectiveness of surveillance and control measures implemented during a measles epidemic in the post-elimination period. The epidemic started in December 2013 and lasted 20 months, reaching 38 cities and 1,052 confirmed cases. The D8 genotype was identified. More than 50,000 samples were tested for measles and 86.4% of the confirmed cases had a laboratory diagnosis. The beginning of an campaign vaccination was delayed in part by the availability of vaccine. The classic control measures were not enough to control the epidemic. The creation of a committee of experts, the agreement signed between managers of the three spheres of government, the conducting of an institutional active search of suspected cases, vaccination door to door at alternative times, the use of micro planning, a broad advertising campaign at local media and technical operative support contributed to containing the epidemic. It is important to recognize the possibility of epidemics at this stage of post-elimination and prepare a sensitive surveillance system for timely response.

Risk analysis for the reintroduction and transmission of measles in the post-elimination period in the Americas.

OBJECTIVE: To propose and test a model for analyzing municipalities' level of risk of reintroduction and transmission of the measles virus in the post-elimination period in the Americas. METHODS: An ecological-analytical study was conducted using data on the measles epidemic that occurred in 2013-2015 in northeastern Brazil. The variables for analysis were selected after an extensive review of scientific literature on the risk of importation of measles cases. A univariate analysis considering the presence or absence of confirmed cases of measles in 184 municipalities in the state of Ceará, Brazil, was carried out to evaluate the association between the dependent variable and 23 independent variables, grouped into four categories: 1) characteristics of the municipalities; 2) quality indicators for immunization programs and epidemiological surveillance; 3) organizational structure for the public health response; and 4) selected impact indicators. A P value < 0.05 was considered significant. All variables with P < 0.200 were analyzed using multivariate logistic regression. Based on the results, the municipalities were categorized by four levels of risk ("low," "medium," "high," and "very high"). RESULTS: The model sensitivity was 95% for concordance between municipalities classified as "high risk" and "very high risk" and those that had an epidemic between 2013 and 2015 in Ceará. Of the 38 municipalities that had an epidemic, 76% (29/38) were classified as "high risk" and "very high risk"; 146 municipalities did not report cases (P < 0.0002). CONCLUSIONS: Given the imminent risk of reintroduction of measles circulation in the post-elimination period in the Americas, this model may be useful in identifying areas at greater risk for reintroduction and continued transmission of measles. Knowledge of vulnerable areas could trigger appropriate surveillance and monitoring to prevent sustained transmission.