Background The signs and symptoms of Zika virus infection are usually mild and self-limited. However, the disease has been linked to neurological complications such as Guillain-Barré syndrome and peripheral nerve involvement, and also to abortion and fetal deaths due to vertical transmission, resulting in various congenital malformations in newborns, including microcephaly. This review aimed to describe the o signs and symptoms that characterize the congenital Zika syndrome. Methods and findings A systematic review was performed with a protocol and described according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. The search strategy yielded 2,048 studies. After the exclusion of duplicates and application of inclusion criteria, 46 studies were included. The main signs and symptoms associated with the congenital Zika syndrome were microcephaly, parenchymal or cerebellar calcifications, ventriculomegaly, central nervous system hypoplasia or atrophy, arthrogryposis, ocular findings in the posterior and anterior segments, abnormal visual function and low birthweight for gestational age. Conclusions Zika virus infection during pregnancy can cause a series of changes in the growth and development of children, while impacting the healthcare system due to the severity of cases. Our findings outline the disease profile in newborns and infants and may contribute to the development and updating of more specific clinical protocols.

Quality of life related to oral health: contribution from social factors

Studies in which spatial distribution and geographic information systems (GIS) play

OBJECTIVE:To describe the sociodemographic and clinical-epidemiological characteristics of tuberculosis cases and identify associated factors with abandoning treatment and death whilst undergoing treatment. METHODS:Epidemiological study based on cases of tuberculosis recorded in indigenous and non-indigenous individuals according to race/color in Mato Grosso do Sul, Midwestern Brazil, between 2001 and. Descriptive analysis of the cases was carried out according to the variables of sex, age group, residence, type of test used in the diagnosis, clinical form, supervised treatment and final status, according to race/color. Univariate/multivariate logistic regression analyses were used to identify predictors of abandoning treatment and death, using odds ratio as a measure of association. A time series of incidence according to race/color was constructed. RESULTS:In the period, 6,962 new cases of tuberculosis were registered, 15.6% being among indigenous. The illness was predominantly found in men and adults (20-44 years old) in all groups. Most of the indigenous patients lived in rural areas (79.8%) and 13.5% of the records in indigenous occurred in children aged < 10 years. The average incidence in the state was 34.5/100,000 inhabitants, being 209.0, 73.1, 52.7, 23.0 and 22.4 in indigenous, and those with yellow, black, white and brown skin, respectively. Patients aged 20 to 44 years (OR = 13.3, 95%CI 1.9;96.8), male (OR = 1.6, 95%CI 1.1;2.3) and of black race/color (OR = 2.5, 95%CI 1.0;6.3) were associated with abandoning treatment, while patients aged > 45 years (OR = 3.0, 95%CI 1.2;7.8) and with the mixed form (OR = 2.3, 95%CI 1.1;5.0) showed association with death. Although they only account for 3.0% of the population, the indigenous were responsible for 15.6% of cases recorded during the period. CONCLUSIONS:Major inequalities in the tuberculosis illness process were found between the categories studied. Incidence in the indigenous population was consistently higher than recorded in any other group, reaching more than six times the national average. It was among those with black and brown skin that the worst treatment results were observed, as they were twice as likely to abandon treatment as the indigenous. Poor program performance was strongly associated with abandoning treatment and death. It is thought that as long as there is no reduction in poverty inequalities in health indicators will remain.

Since the complexity of dengue is closely tied to the ecological characteristics of the environment, studies based on spatial clusters plus local environmental determinants provide a more comprehensive view of the disease. These studies also allow for the identification of spatial heterogeneity, shown to be a key to understanding how dengue epidemics develop.