[Space-time heterogeneity of measles, mumps, and rubella vaccination indicators in children from BrazilHeterogeneidad espaciotemporal de los indicadores de inmunización con la vacuna triple viral en la población infantil de Brasil]. / Heterogeneidade espaço-temporal dos indicadores de imunização da vacina tríplice viral em crianças no Brasil.

Objective: To evaluate immunization coverage and dropout rates of the measles, mumps, and rubella vaccine across Brazilian regions. Methods: This ecological study employing a space-time approach used data from the National Immunization Program (PNI) and the Live Births Information System (SINASC). We estimated the annual variation (2014 to 2021) in immunization coverage and dropout rate of the measles, mumps, and rubella vaccine in children aged 12 and 15 months in the 5 570 Brazilian municipalities. Statistical analysis was conducted for the municipalities contained in each Brazilian region using the space-time scan technique, considering the Poisson probabilistic model and the hypothesis that municipalities with lower immunization coverage or high dropout rates would form space-time clusters. Results: From 2014 to 2021, 38.3% and 12.9% of municipalities achieved a coverage ≥ 95.0% in the first and second doses respectively; 53.6% of municipalities had a high dropout rate (20.0% to 49.9%) and 37.2% had a very high dropout rate. The Northeast region had primary clusters for low coverage of the first (2018 to 2021) and second vaccine doses (2020 to 2021) with higher relative risks (RR) compared to other primary clusters. The RR for high dropout rate was elevated in all Brazilian regions (1.57 to 26.23). Conclusions: In some Brazilian regions, the dropout rate has been high since 2014, signaling a risk of measles resurgence. In turn, space-time analysis indicated lower vaccination coverage in 2020, suggesting the influence of the COVID-19 pandemic.

Objetivo: Evaluar la cobertura de vacunación y las tasas de incumplimiento del esquema de vacunación triple viral en las macrorregiones de Brasil. Métodos: En este estudio ecológico, con un enfoque espaciotemporal, se utilizaron datos del Programa Nacional de Inmunización y del Sistema de Información sobre Recién Nacidos Vivos. Se estimó la variación anual de la cobertura de vacunación y la tasa de incumplimiento del esquema de vacunación triple viral en niños de 12 y 15 meses en 5570 municipios brasileños (en el período 2014-2021). El análisis estadístico se realizó en el conjunto de municipios de cada macrorregión brasileña mediante la técnica de barrido espaciotemporal, con un modelo probabilístico de Poisson y con la hipótesis de que los municipios con menor cobertura de vacunación o tasas altas de incumplimiento formarían conglomerados espaciotemporales. Resultados: En el período 2014-2021, el 38,3% y el 12,9% de los municipios alcanzó una cobertura ≥95,0% para la primera y la segunda dosis de la vacuna triple viral, respectivamente; el 53,6% de los municipios tuvo una tasa de incumplimiento alta (del 20,0% al 49,9%) y el 37,2% una tasa extremadamente alta. En la zona del nordeste se observaron los conglomerados primarios de cobertura baja de la primera y la segunda dosis de la vacuna triple viral (administradas en los períodos 2018-2021 y 2020-2021, respectivamente) con un mayor riesgo relativo (RR), en comparación con los demás conglomerados primarios. Se observó un RR alto de tener una tasa elevada de incumplimiento en todas las macrorregiones de Brasil (de entre 1,57 y 26,23). Conclusiones: En algunas macrorregiones, la tasa de incumplimiento había sido elevada desde el 2014, lo cual indica un riesgo de resurgimiento del sarampión. A su vez, en el análisis espaciotemporal se observó una menor cobertura de vacunación en el 2020, lo que denota la influencia de la pandemia de COVID-19.

[Mortality attributable to influenza in pre-vaccination and post-vaccination periods in Argentina: an ecological study (2002-2016)Mortalidade atribuível à gripe no período pré-vacinal e pós-vacinal na Argentina: estudo ecológico (2002-2016)]. / Mortalidad atribuible a gripe en los períodos prevacunación y posvacunación en Argentina: estudio ecológico (2002-2016).

OBJECTIVES: Compare mortality from severe acute respiratory infection (SARI) attributable to influenza between pre-vaccination (pre-V) and post-vaccination (post-V) periods, to determine the historical evolution and seasonality of time series between 2002 and 2016, and to estimate the risk of death in children between 6 and 23 months of age, using a statistical model. METHODS: Time-series study using official mortality data from the official statistical database on deaths. ICD-10 codes between J09-18.9 and J22X were considered to represent SARI. Crude rates and age-adjusted rates (AAR) were calculated, and pre-V (2002-2009) and post-V (2010-2016) periods were compared using the chi-squared (χ2) test. The best statistical model was the one that compared deaths from SARI in children during 2002 with other years. The data were analyzed with R programming (p <0.05). RESULTS: 4.6% of deaths (301,747) were from SARI, with a median age of 82 years. The percentage of deaths under age 2 declined in the post-V period (from 2.34% to 0.99%, p < 0.05). Marked seasonality was observed in winter. The AAR in persons over age 64 rose from 259.8 per 100,000 population (pre-V) to 328.6 (post-V) (p < 0.05). In children, the crude rate dropped significantly. Compared with the year 2002, there was a significantly lower estimated risk of dying from SARI during the three years post-V. CONCLUSIONS: The reduction in mortality from influenza in Argentina was more pronounced in children, with an estimated 3.5 fewer child deaths from SARI per month.

OBJETIVOS: Comparar o índice de mortalidade por infecção respiratória aguda grave atribuível à gripe nos períodos pré-vacinal e pós-vacinal, conhecer a evolução temporal e a sazonalidade da série temporal entre 2002 e 2016 e estimar o risco de morte em crianças entre 6 e 23 meses de idade com o uso de um modelo estatístico. MÉTODOS: Estudo de série histórica com base em dados oficiais de mortalidade obtidos do informe estatístico de óbitos. Os códigos da CID-10 entre J09-18.9 e J22X foram considerados como sendo infecção respiratória aguda grave atribuível à gripe. Foram calculados os índices de mortalidade brutos e ajustados por idade e feita uma comparação entre os períodos pré-vacinal (2002­2009) e pós-vacinal (2010­2016) com o teste de χ2. O melhor modelo estatístico foi o que comparou os índices de mortalidade por infecção respiratória aguda grave atribuível à gripe em crianças em 2002 com os outros anos. Os dados foram analisados com o programa R, a um nível de significância P<0,05. RESULTADOS: Observou-se que 4,6% (301.747) das mortes foram por infecção respiratória aguda grave atribuível à gripe, com idade mediana de 82 anos. Houve queda no percentual de mortes em crianças menores de dois anos no período pós-vacinal (2,34% a 0,99%, P< 0,05). Verificou-se uma acentuada sazonalidade no inverno. Os índices ajustados por idade em idosos variaram entre 259,8 por 100 mil no período pré-vacinal e 328,6 por 100 mil no período pós-vacinal (P<0,05). Nas crianças, houve queda significativa nos índices brutos, estimando-se um risco significativamente menor de morte por infecção respiratória aguda grave atribuível à gripe nos 3 anos pós-vacinais em comparação a 2002. CONCLUSÕES: A redução da mortalidade pela gripe na Argentina foi mais evidente em crianças, com uma redução estimada de 3,5 mortes por mês.

Geographical heterogeneity in the analysis of factors associated with leprosy in an endemic area of Brazil: are we eliminating the disease?

BACKGROUND: The leprosy transmission chain is very complex and, in order to intervene in this transmission, more must be known about the factors linked to falling ill. There are doubts as to the influence of population size, population density and the disease's magnitude in detection rate trends. This paper aimed to identify factors associated with detection of leprosy in an endemic municipality of Rio de Janeiro State, Brazil. METHODS: This ecological study in Duque de Caxias municipality, Rio de Janeiro State, Brazil, used neighbourhoods (bairros) as the unit of analysis. Selecting new cases of leprosy detected from 1998 to 2006, the analysis examined clinical, socioeconomic and service variables using a Poisson log-Normal model. RESULTS: In the municipality overall, 2572 new cases were detected, a rate of 3.70 cases/10,000 inhabitants. The results describe a heterogeneous distribution of cases and rates in the municipality. The final model displayed a significant association with indeterminate clinical form (ß = 2.599), proportion of homes with running water (ß = -2.334) and presence of a decentralised health care unit (ß = 0.524). CONCLUSION: Although the results indicate progress towards elimination of the disease in the municipality, high rates continue to be detected in municipal sub-regions. The following question can thus be posed: over how wide a geographical area could the disease be thoroughly eliminated, given this heterogeneity within a small municipality?

Risk analysis for occurrences of schistosomiasis in the coastal area of Porto de Galinhas, Pernambuco, Brazil.

BACKGROUND: Manson's schistosomiasis continues to be a severe public health problem in Brazil, where thousands of people live under the risk of contracting this parasitosis. In the Northeast of Brazil, schistosomiasis has expanded from rural areas to the coast of Pernambuco State, where the intermediate host is Biomphalaria glabrata snails. This study aims at presenting situational analyses on schistosomiasis at the coastal locality of Porto de Galinhas, Pernambuco, Brazil, by determining the risk factors relating to its occurrence from the epidemiological and spatial perspectives. METHODS: In order to gather prevalence data, a parasitological census surveys were conducted in 2010 in the light of the Kato-Katz technique. Furthermore, malacological surveys were also conducted in the same years so as to define the density and infection rates of the intermediate host. Lastly, socioeconomic-behavioral survey was also conducted to determine the odds ratio for infection by Schistosoma mansoni. Based on these data, spatial analyses were done, resulting in maps of the risk of disease transmission. To predict the risk of schistosomiasis occurrence, a multivariate logistic regression was performed using R 2.13 software. RESULTS: Based on prevalence, malacological and socioeconomic-behavioural surveys, it was identified a prevalence of 15.7% in the investigated population (2,757 individuals). Due to the malacological survey, 36 breeding sites were identified, of which 11 were classified as foci of schistosomiasis transmission since they pointed out snails which were infected by Schistosoma mansoni. Overall, 11,012 snails (Biomphalaria glabrata) were collected. The multivariate regression model identified six explanatory variables of environmental, socioeconomic and demographic nature. Spatial sweep analysis by means of the Bernoulli method identified one statistically significant cluster in Salinas (RR = 2.2; p-value < 0.000), the district with the highest occurrence of cases. CONCLUSIONS: Based on the resulting information from this study, the epidemiological dimensions of this disease are significant and severe, within the scenario of schistosomiasis in Pernambuco state. The risk factors which were identified in the predictive model made it clear that the environmental and social conditions influence on the schistosomiasis occurrences.

High-Risk Areas for Congenital Zika Syndrome in Rio de Janeiro: Spatial Cluster Detection.

Brazil reported 18,282 suspected congenital Zika syndrome (CZS) cases up to 2018 and accounts for 61.4% of the total reported Zika cases in the Americas in the period. To detect high-risk areas for children with CZS in the city of Rio de Janeiro, we used cluster detection and thematic maps. We analyzed data using a Poisson model in Satscan 10.1.3 software. We also analyzed the records of children with CZS from 2015 to 2016 to describe the clinical and epidemiological maternal and child profile, as well as live births in 2016 and the social development index (SDI) by neighborhood. In 2015 and 2016, the incidence rates of CZS were 8.84 and 46.96 per 100,000 live births in the city, respectively. Severe congenital findings such as microcephaly and brain damage, osteoarticular impairment, ocular abnormalities, and hearing loss were observed in 47 children. The spatial distribution of CZS was concentrated in the north and west zones in heterogeneous neighborhoods. The neighborhoods with the highest occurrence of CZS cases were found to have the worst SDIs. Stascan detected three spatial clusters in the north zone, where the SDI is lower. The clusters presented high relative risks for CZS (7.86, 1.46, and 2.08), although they were not statistically significant. Our findings highlight a higher occurrence of CZS in areas with less favorable socioeconomic conditions.

High-risk space-time clusters of mortality in children 5 to 14 years of age in Mato Grosso state, Brazil. / Clusters Espaço-Temporais de Alto Risco da Mortalidade Infantojuvenil em Mato Grosso, Brasil.

The study aimed to detect high-risk areas for deaths of children and adolescents 5 to 14 years of age in the state of Mato Grosso, Brazil, from 2009 to 2020. This was an exploratory ecological study with municipalities as the units of analysis. Considering mortality data from the Mortality Information System (SIM) and demographic data from the Brazilian Institute of Geography and Statistics (IBGE), the study used multivariate statistics to identify space-time clusters of excess mortality risk in this age group. From 5 to 9 years of age, two clusters with high mortality risk were detected; the most likely located in the state's southern mesoregion (RR: 1.6; LRT: 8,53). Among the 5 clusters detected in the 10-14-year age group, the main cluster was in the state's northern mesoregion (RR: 2,26; LRT: 7,84). A reduction in mortality rates was observed in the younger age group and an increase in these rates in the older group. The identification of these clusters, whose analysis merits replication in other parts of Brazil, is the initial stage in the investigation of possible factors associated with morbidity and mortality in this group, still insufficiently explored, and for planning adequate interventions.

O objetivo deste estudo é detectar as áreas de maior risco para óbitos de crianças e adolescentes de 5 a 14 anos no estado de Mato Grosso entre os anos de 2009 e 2020. Estudo ecológico, tipo exploratório, cuja unidade de análise foram os municípios. Considerando dados de mortalidade do SIM e os demográficos do IBGE, o estudo utilizou a estatística multivariada para a identificação dos clusters espaço-temporais de sobrerrisco de mortalidade nesta faixa etária. Dos 5 aos 9 anos, dois clusters de alto risco de mortalidade foram detectados; o mais provável localizado na mesorregião sul (RR: 1,6; LRV: 8,53). Dentre os 5 clusters detectados na faixa etária dos 10 aos 14 anos, o principal foi localizado na mesorregião norte (RR: 2,26; LRV: 7,84). Foi identificada redução das taxas de mortalidade na faixa etária mais jovem e aumento destas taxas na faixa etária mais velha. A identificação destes clusters, cuja análise merece ser replicada a outras partes do território nacional, é a etapa inicial para a investigação de possíveis fatores associados à morbi-mortalidade deste grupo ainda pouco explorado e para o planejamento de intervenções adequadas.

Geographic information systems and logistic regression for high-resolution malaria risk mapping in a rural settlement of the southern Brazilian Amazon.

BACKGROUND: In Brazil, 99% of the cases of malaria are concentrated in the Amazon region, with high level of transmission. The objectives of the study were to use geographic information systems (GIS) analysis and logistic regression as a tool to identify and analyse the relative likelihood and its socio-environmental determinants of malaria infection in the Vale do Amanhecer rural settlement, Brazil. METHODS: A GIS database of georeferenced malaria cases, recorded in 2005, and multiple explanatory data layers was built, based on a multispectral Landsat 5 TM image, digital map of the settlement blocks and a SRTM digital elevation model. Satellite imagery was used to map the spatial patterns of land use and cover (LUC) and to derive spectral indices of vegetation density (NDVI) and soil/vegetation humidity (VSHI). An Euclidian distance operator was applied to measure proximity of domiciles to potential mosquito breeding habitats and gold mining areas. The malaria risk model was generated by multiple logistic regression, in which environmental factors were considered as independent variables and the number of cases, binarized by a threshold value was the dependent variable. RESULTS: Out of a total of 336 cases of malaria, 133 positive slides were from inhabitants at Road 08, which corresponds to 37.60% of the notifications. The southern region of the settlement presented 276 cases and a greater number of domiciles in which more than ten cases/home were notified. From these, 102 (30.36%) cases were caused by Plasmodium falciparum and 174 (51.79%) cases by Plasmodium vivax. Malaria risk is the highest in the south of the settlement, associated with proximity to gold mining sites, intense land use, high levels of soil/vegetation humidity and low vegetation density. CONCLUSIONS: Mid-resolution, remote sensing data and GIS-derived distance measures can be successfully combined with digital maps of the housing location of (non-) infected inhabitants to predict relative likelihood of disease infection through the analysis by logistic regression. Obtained findings on the relation between malaria cases and environmental factors should be applied in the future for land use planning in rural settlements in the Southern Amazon to minimize risks of disease transmission.

Temporal trend of the dropout rate and vaccination coverage of the triple viral vaccine in Brazil, 2014-2021.

MAIN RESULTS: Annual vaccination coverage was below 95% in Brazil. The second dose of the vaccine showed stationary and decreasing trends in the country's Federative Units. The dropout rate varied greatly throughout the study period. IMPLICATIONS FOR SERVICES: The results found regarding the trends serve to inform and point to the urgency of planning actions aimed at improving coverage of the triple viral vaccine nationally in Brazil. PERSPECTIVES: Investments in enhanced training of epidemiological surveillance professionals and enhanced computerized systems are necessary, with a view to continuous monitoring, to support actions to promote better and timely vaccine coverage. OBJECTIVE: to analyze the temporal trend of coverage and dropout rate for triple viral vaccine in Brazil, according to the country's Federative Units and Macro-Regions, between 2014 and 2021. METHODS: this was an ecological time series study, using data from the National Immunization Program Information System and the Live Birth Information System; joinpoint regression models were used. RESULTS: in Brazil as a whole annual vaccination coverage was below 95% and ranged from 92.3% (2015) to 54.4% (2021); the second dose of the vaccine showed a decreasing temporal trend in the period (average change over the period = -5.8; 95%CI -10.5;-0.8); the temporal trends were stationary and decreasing in the country's Federative Units; the dropout rate ranged from 22.2% (2014) to 37.4% (2021). CONCLUSION: there was a downward trend in vaccination coverage and an increase in the dropout rate in Brazil as a whole and in the country's Federative Units.

High-risk spatial clusters for Zika, dengue, and chikungunya in Rio de Janeiro, Brazil.

OBJECTIVE: To analyze the spatial distribution and identify high-risk spatial clusters of Zika, dengue, and chikungunya (ZDC), in the city of Rio de Janeiro, Brazil, and their socioeconomic status. METHODS: An ecological study based on data from a seroprevalence survey. Using a rapid diagnostic test to detect the arboviruses, 2,114 individuals were tested in 2018. The spatial distribution was analyzed using kernel estimation. To detect high-risk spatial clusters of arboviruses, we used multivariate scan statistics. The Social Development Index (SDI) was considered in the analysis of socioeconomic status. RESULTS: Among the 2,114 individuals, 1,714 (81.1%) were positive for at least one arbovirus investigated. The kernel estimation showed positive individuals for at least one arbovirus in all regions of the city, with hot spots in the North, coincident with regions with very low or low SDI. The scan statistic detected three significant (p<0.05) high-risk spatial clusters for Zika, dengue, and chikungunya viruses. These clusters correspond to 35.7% (n=613) of all positive individuals of the sample. The most likely cluster was in the North (cluster 1) and overlapped regions with very low and low SDI. Clusters 2 and 3 were in the West and overlapping regions with low and very low SDI, respectively. The highest values of relative risks were in cluster 1 for CHIKV (1.97), in cluster 2 for ZIKV (1.58), and in cluster 3 for CHIKV (1.44). Regarding outcomes in the clusters, the Flavivirus had the highest frequency in clusters 1, 2, and 3 (42.83%, 54.46%, and 52.08%, respectively). CONCLUSION: We found an over-risk for arboviruses in areas with the worst socioeconomic conditions in Rio de Janeiro. Moreover, the highest concentration of people negative for arboviruses occurred in areas considered to have better living conditions.

Characteristics and temporal trends of mortality rates in children and adolescents in Mato Grosso and Brazil, 2009-2020. / Características e tendência temporal das taxas de mortalidade de crianças e adolescentes em Mato Grosso e no Brasil, 2009 a 2020.

OBJECTIVE: to analyze the characteristics and temporal trend of mortality rates in the population aged 5 to 14 years in Mato Grosso state and in Brazil, from 2009 to 2020. METHODS: this was an ecological time-series study, based on data taken from the Mortality Information System. Descriptive and trend analyses were performed, using the joinpoint regression model and calculating the average annual percentage change (AAPC). RESULTS: in Brazil and in Mato Grosso state, deaths were predominantly male, preventable and due to external causes. A falling trend was identified for Brazil (5-9 years AAPC: -2.9; 95%CI -4.3;-1.6 and 10-14 years AAPC: -2.5; 95%CI -3.3;-1.8), while a stationary trend was found in Mato Grosso (5-9 years AAPC: -2.0; 95%CI -5.6;1.7 and 10-14 years AAPC: -0.1; 95%CI -5.9;6.1). CONCLUSION: the stable trend of mortality at high levels demands urgent interventions to reduce it.

[Identification of risk areas and factors associated with the 2019 measles epidemic in the State of São Paulo, Brazil]. / Identificação de áreas de risco e fatores associados à epidemia de sarampo de 2019 no Estado de São Paulo, Brasil.

This study aimed to analyze the occurrence of clusters and factors associated with the resurgence of measles cases from the largest epidemic of the post-elimination period in the State of São Paulo, Brazil, in 2019. Sociosanitary and care factors were analyzed by zero-inflated Poisson (ZIP) and ZIP models with structured and unstructured spatial effect. The SCAN statistic was used to analyze the occurrence of case clusters. Clusters of high-risk cases were identified in municipalities that make up the intermediate region of São Paulo. In the ZIP model, the following variables were observed as risk factors at the municipal level: household heads under 18 years old (adjusted RR =0 1.39; 95%CrI: 1.27-1.53), inequality in income distribution (adjusted RR = 36.67; 95%CrI: 26.36-51.15), unemployment in people over 18 years old (adjusted RR = 1.10; 95%CrI: 1.08-1.12), and non-existent street lighting (adjusted RR = 1.05; 95%CrI: 1.04-1.05). In the ZIP models with structured and unstructured spatial effect, the following variables were observed as risk factors: household heads under 18 years old (adjusted RR = 1.36; 95%CrI: 1.04-1.90) and inequality in income distribution (adjusted RR = 3.12; 95%CrI: 1.02-9.48). In both models, the coverage of health agents was presented as a protective factor. The findings reinforce the importance of intensifying measles surveillance actions articulated to the Family Health Strategy, especially in areas with greater social vulnerability, to ensure equitable and satisfactory vaccination coverage and reduce the risk of reemergence of the disease.

O objetivo foi analisar a ocorrência de clusters e fatores associados ao ressurgimento de casos de sarampo da maior epidemia do período pós-eliminação, ocorrida no Estado de São Paulo, Brasil, em 2019. Fatores sociossanitários e assistenciais foram analisados por modelos de Poisson inflacionado de zero (ZIP) e ZIP com efeito espacial estruturado e não estruturado. A estatística de varredura SCAN foi usada para analisar a ocorrência de clusters de casos. Foram identificados clusters de casos de alto risco em municípios que compõem a região intermediária de São Paulo. No modelo ZIP, foram observadas como fatores de risco no nível municipal as variáveis chefes de domicílio menores de 18 anos (RR ajustado = 1,39; ICr95%: 1,27-1,53), desigualdade na distribuição de renda (RR ajustado = 36,67; ICr95%: 26,36-51,15), desocupação em maiores de 18 anos (RR ajustado = 1,10; ICr95%: 1,08-1,12) e iluminação pública inexistente (RR ajustado = 1,05; ICr95%: 1,04-1,05). Nos modelos ZIP com efeito espacial estruturado e não estruturado, foram identificados como fatores de risco os indicadores chefes de domicílio menores de 18 anos (RR ajustado = 1,36; ICr95%: 1,04-1,90) e desigualdade na distribuição dos rendimentos do trabalho (RR ajustado = 3,12; ICr95%: 1,02-9,48). Em ambos os modelos, a cobertura de agentes de saúde se apresentou como fator de proteção. Os achados reforçam a importância de intensificar as ações de vigilância de sarampo articuladas à Estratégia Saúde da Família, especialmente em áreas de maior vulnerabilidade social, para garantir coberturas vacinais equânimes e satisfatórias e reduzir o risco de reemergência da doença.

El objetivo de este estudio fue analizar la ocurrencia de clusters y sus factores asociados al resurgimiento de los casos de sarampión teniendo por base la mayor epidemia del período poserradicación que tuvo lugar en el Estado de São Paulo, Brasil, en 2019. Los factores sociosanitarios y asistenciales se analizaron mediante modelos de Poisson zero inflated (ZIP) y ZIP con efecto espacial estructurado y no estructurado. La estadística de exploración SCAN se utilizó para analizar la ocurrencia de clusters de casos. Se identificaron clusters de casos de alto riesgo en municipios que componen la Región Intermedia de São Paulo. En el modelo ZIP se observaron como factores de riesgo a nivel municipal las variables jefes de hogar menores de 18 años (RR ajustado = 1,39; ICr95%: 1,27-1,53), desigualdad en la distribución de renta (RR ajustado = 36,67; ICr95%: 26,36-51,15), desempleo en mayores de 18 años (RR ajustado = 1,10; ICr95%: 1,08-1,12) y alumbrado público inexistente (RR ajustado = 1,05; ICr95%: 1,04-1,05). En los modelos ZIP con efecto espacial estructurado y no estructurado, se identificaron como factores de riesgo los indicadores jefe de hogar menor de 18 años (RR ajustado = 1,36; ICr95%: 1,04-1,90) y la desigualdad en la distribución de los ingresos de trabajo (RR ajustado = 3,12; ICr95%: 1,02- 9,48). En ambos modelos, la cobertura de los agentes de salud fue un factor protector. Los hallazgos evidencian la importancia de intensificar las acciones de vigilancia del sarampión vinculadas a la Estrategia de Salud Familiar, especialmente en las zonas de mayor vulnerabilidad social, para garantizar una cobertura de la vacunación de manera equitativa y satisfactoria, además de reducir el riesgo de reemergencia de la enfermedad.

Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil.

BACKGROUND: In Brazil, 99% of malaria cases are concentrated in the Amazon, and malaria's spatial distribution is commonly associated with socio-environmental conditions on a fine landscape scale. In this study, the spatial patterns of malaria and its determinants in a rural settlement of the Brazilian agricultural reform programme called "Vale do Amanhecer" in the northern Mato Grosso state were analysed. METHODS: In a fine-scaled, exploratory ecological study, geocoded notification forms corresponding to malaria cases from 2005 were compared with spectral indices, such as the Normalized Difference Vegetation Index (NDVI) and the third component of the Tasseled Cap Transformation (TC_3) and thematic layers, derived from the visual interpretation of multispectral TM-Landsat 5 imagery and the application of GIS distance operators. RESULTS: Of a total of 336 malaria cases, 102 (30.36%) were caused by Plasmodium falciparum and 174 (51.79%) by Plasmodium vivax. Of all the cases, 37.6% (133 cases) were from residents of a unique road. In total, 276 cases were reported for the southern part of the settlement, where the population density is higher, with notification rates higher than 10 cases per household. The local landscape mostly consists of open areas (38.79 km²). Training forest occupied 27.34 km² and midsize vegetation 7.01 km². Most domiciles with more than five notified malaria cases were located near areas with high NDVI values. Most domiciles (41.78%) and malaria cases (44.94%) were concentrated in areas with intermediate values of the TC_3, a spectral index representing surface and vegetation humidity. CONCLUSIONS: Environmental factors and their alteration are associated with the occurrence and spatial distribution of malaria cases in rural settlements.

Current epidemiological status of schistosomiasis in the state of Pernambuco, Brazil.

Uncontrolled peripheral urbanisation coupled with environmental degradation has affected the status of schistosomiasis in Pernambuco (PE), Brazil. This endemic disease continues to perpetuate its transmission in rural areas and has also become a cause for concern in coastal towns of the state. The lack of basic infrastructure (sanitation and health programmes) to support the new urban areas leads to faecal contamination of natural aquatic environments, resulting in consequent infection of vector snails and the emergence of new sources of schistosomiasis transmission. In the present paper, we discuss the current epidemiological status of schistosomiasis in PE. We have consolidated and analysed information from parasitological, malacological and morbidity surveys undertaken by the group of researchers at the Laboratory of Schistosomiasis, Centro de Pesquisas Aggeu Magalhães-Fiocruz. The results of our analysis show: (i) the maintenance of the levels of schistosomiasis in the rural Zona da Mata, PE, (ii) the record of the human cases of schistosomiasis and the foci of infected snails detected along the coast of PE through 2007, (iii) the high record of the severe clinical form of schistosomiasis in the metropolitan region of Recife (RMR) and (iv) new breeding sites of schistosomiasis vector snails that were identified in a 2008 survey covering the RMR and the coastal localities of PE.

[Hansen's disease, social conditions, and deforestation in the Brazilian Amazon]. / Hanseníase, condições sociais e desmatamento na Amazônia brasileira.

OBJECTIVE: To analyze the association between social and environmental indicators and the Hansen's disease new case detection rate (HNCDR) in the Brazilian Amazon. METHODS: This ecological study was based on the new cases of Hansen's disease reported to the Brazilian Disease Surveillance System SINAN in 2006. Analyses were performed considering 105 micro-regions formed by adjacent municipalities with economic and social similarities. HNCDRs per 10 000 people were calculated. Independent variables were total area deforested (km(2)) in each micro-region until 2006; proportion of people living in households with rudimentary septic tanks; proportion of people living in households with water supply from wells; and human development index (HDI) in 2000. Local empirical Bayes smoothing was applied to HNCDR. Analyses were carried out to determined correlations and differences between means (analysis of variance) for a significance level of 5%. The Kernel technique was used to investigate the geographic distribution of events of interest for all the study indicators. RESULTS: A positive correlation was observed between HNCDR and total deforested area (r = 0.50; P < 0.000) and percent of households with rudimentary septic tanks (r = 0.49; P < 0.000). HDI was inversely correlated with HNCDR: the higher the HDI, the lower the HNCDR (r = -0.36; P < 0.000). Considering the entire region, proportion of households with water from wells was not associated with NCDR. CONCLUSIONS: The Hansen's disease new case detection rate, which reflects the magnitude of disease, is associated with social conditions and land settlement practices in the Brazilian Amazon.

Hot spots of leprosy in the endemic area of São Luís, Maranhão State, Northeastern Brazil.

BACKGROUND: Despite the decreasing of leprosy cases in Brazil, its occurrence remains high in certain Brazilian cities. The aim of the study was to analyze the spatial pattern of leprosy in São Luís, capital of Maranhão State, Northeastern Brazil. METHODOLOGY: An ecological study was carried out based on secondary data from leprosy cases and contacts reported in the Notification of Injury Information System in2015, and information on residency domiciles in three districts in the city. RESULTS: A positive correlation was found between the leprosy cases and the average number of residents per household, and households with open sewage, garbage accumulated, with street identification, persons without income, dependents and the poor. A negative correlation between cases and households with a sidewalk, literate people and 60 years old or more were identified. The seropositivity of contacts examined using the ML Flow test was of 23.19%. The disease presents a heterogeneous spatial pattern, with hyperendemic clusters. CONCLUSIONS: The spatialization of both leprosy cases and contacts and the identification of areas presenting the highest concentration of the disease in each district is important and constitutes an important tool to subsidize disease-control actions.

[Spaces of production of cutaneous leishmaniasis in the state of Rio de Janeiro, Brazil]. / Espaços de produção da leishmaniose tegumentar americana no estado do Rio de Janeiro, Brasil.

The scope of this research was to identify and characterize spatial units of epidemiological relevance in the state of Rio de Janeiro, through the highest concentrations of cutaneous leishmaniasis (CL) from 1980 to 2012, considering the geographical aspects. SUCAM, FUNASA and SINAN databases were consulted. A method of adjustment of spatially referenced data for demarcation of the regions with the highest concentrations of cases called circuits and poles was applied. These were superimposed on the socioenvironmental indicator maps. Of the total cases registered in the period, 87% occurred in the municipalities located in the resulting circuits and poles. The variations in the occurrence of cases in the different circuits and poles were not related to the socioenvironmental indicators. The identification of the circuits and poles can subsidize the state CL program of the prioritization of strategies of prevention and control actions and the optimization of the resources of the program. These regions, which are more stable than the localities, allow surveillance and control operations in locations with many cases and in other locations in the identified risk area, because they have the same characteristics as those already affected.

O objetivo foi identificar e caracterizar unidades espaciais de relevância epidemiológica no estado do Rio de Janeiro, por meio das maiores concentrações de casos de leishmaniose tegumentar (LT) no período de 1980 a 2012, considerando os conceitos da geografia. Utilizou-se bancos de dados da SUCAM, FUNASA e SINAN. Foi aplicado um método de ajustamento de dados espacialmente referenciados para delimitação das regiões com as maiores concentrações de densidades de casos chamadas circuitos e polos. Estes foram sobrepostos aos mapas de indicadores socioambientais. Do total de casos registrados no período, 87% ocorreram nos municípios localizados nos circuitos e polos resultantes. As variações na ocorrência de casos nos diferentes circuitos e polos não tiveram relação com os indicadores socioambientais. A identificação dos circuitos e polos pode subsidiar o programa estadual da LT para a priorização de estratégias de ações de prevenção e controle e a otimização dos recursos do programa. Essas regiões, mais estáveis que as localidades, permitem operações de vigilância e controle nas localidades com muitos casos e nas demais da área de risco identificada, por terem as mesmas características daquelas já afetadas.

Congenital Zika syndrome: A systematic review.

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.

Effect of income on the cumulative incidence of COVID-19: an ecological study.

OBJECTIVE: to analyze the relationship between per capita income and the cumulative incidence of COVID-19 in the neighborhoods of the city of Rio de Janeiro, RJ, Brazil. METHOD: an ecological study using neighborhoods as units of analysis. The cumulative incidence rate per 100,000 inhabitants and the median of potential confounding variables (sex, race, and age) were calculated. Multiple analysis included quantile regression, estimating the regression coefficients of the variable income for every five percentiles from the 10th to 90th percentiles to verify the relationship between income and incidence. RESULTS: the city's rate was 36.58 new cases per 100,000 inhabitants. In general, the highest rates were observed in the wealthiest regions. Multiple analysis was consistent with this observation since the per capita income affected all percentiles analyzed, with a median regression coefficient of 0.02 (p-value <0.001; R2 32.93). That is, there is an increase of R$ 0.02 in the neighborhood's per capita income for every unit of incidence. CONCLUSION: cumulative incident rates of COVID-19 are influenced by one's neighborhood of residency, suggesting that access to testing is uneven.

Zika, dengue and chikungunya population prevalence in Rio de Janeiro city, Brazil, and the importance of seroprevalence studies to estimate the real number of infected individuals.

In the last 40 years, Latin America countries, including Brazil, have suffered from the emergence and reemergence of arboviruses, first Dengue (DENV) and recently Zika (ZIKV) and Chikungunya (CHIKV). All three arboviruses are currently endemic in Brazil and have caused major outbreaks in recent years. Rio de Janeiro city, host of the last Summer Olympic Games and the Football World Cup, has been specially affected by them. A surveillance system based on symptomatic reports is in place in Rio, but the true number of affected individuals is unknown due to the great number of Zika, Dengue and Chikungunya asymptomatic cases. Seroprevalence studies are more suitable to evaluate the real number of cases in a given population. We performed a populational seroprevalence survey in Rio, with recruitment of a sample of volunteers of all ages and gender from July to October 2018, within randomly selected census tracts and household. A total of 2,120 volunteers were interviewed and tested with rapid immunochromatographic test for ZIKV, DENV and CHIKV. Individuals with positive results for IgG and/or IgM from only one virus were classified accordingly, while those with test results positive for both ZIKV and DENV were classified as flaviviruses. We corrected for sample design and non-response in data analysis, and calculated point estimate prevalence and 95% confidence intervals for each virus. Arbovirus prevalence in the Rio's population (n = 6,688,927) was estimated at 48.6% [95% CI 44.8-52.4] (n = 3,254,121) for flaviviruses and at 18.0% [95% CI 14.8-21.2] (n = 1,204,765) for CHIKV. Approximately 17.0% [95% CI 14.1-20.1] (n = 1,145,674) of Rio´s population had no contact with any of the three arboviruses. The reported cases of Zika, Dengue and Chikungunya by the current surveillance system in place is insufficient to estimate their real numbers, and our data indicate that Zika seroprevalence could be at least five times and Chikungunya 45 times bigger. The high number of individuals having never been infected by any of the three arboviruses, may indicate a proper scenario for future outbreaks.

Access to health care facilities of suspected dengue patients in Rio de Janeiro, Brazil. / Acesso aos serviços de saúde por pacientes com suspeita de dengue na cidade do Rio de Janeiro, Brasil.

Rio de Janeiro maintains a recurrent history of dengue epidemics. There is scarce evidence about the route of the population to get health care. The study aimed to describe the pattern of suspected dengue patients flow in search of health care services in Rio de Janeiro. The following data were analyzed: dengue reports from 2011 to 2013; the neighborhoods of patient's residence; the neighborhoods of health services. Neighborhoods of the city were used as unit of analysis focusing on access to health facilities of municipal Planning Area (AP) 3.3. Flow maps were elaborated to describe the routes between the neighborhood of residence and the heath service. Between 2011 and 2013 48,576 suspected dengue cases living in program area 3.3 were reported, 72% got health care in the AP 3.3, 37% of which in primary care. A total of 12,545 suspected cases attended health facilities outside the AP 3.3. A great geographical variation was observed in the search for Primary Care within the AP 3.3, as well as a relevant movement to the center and south zone of the city on access to care, comprising 2,647 different flows. The findings indicate a large flow within the municipality.

O Rio de Janeiro mantém histórico recorrente de epidemias de dengue. Não há suficientes evidências acerca do percurso da população em busca de atendimento. O estudo visou investigar o padrão de deslocamento dos residentes do Rio de Janeiro com suspeita de dengue para atendimento nos serviços de saúde. Foram analisadas as notificações de dengue e utilizados os bairros da cidade como unidade de análise com enfoque no acesso às unidades de saúde da área de planejamento (AP) 3.3 e elaborados mapas de fluxo entre bairro de residência e unidade de atendimento. Foram notificados 48.576 residentes com suspeita de dengue no período de 2011 a 2013, 72% atendidos na AP 3.3: 37% na atenção primária e 73% em unidades de atenção secundária ou terciária; 12.545 foram atendidos em unidades fora da AP 3.3. Os resultados evidenciam uma grande variação geográfica na busca pelo atendimento na Atenção Primária dentro da própria AP 3.3 e um relevante deslocamento para unidades localizadas em bairros mais distantes, principalmente para o centro e zona sul, com 2.647 diferentes fluxos. Os achados apontam para um grande deslocamento dentro do município.