Retrospective analysis of risk factors and gaps in prevention strategies for mother-to-child HIV transmission in Rio de Janeiro, Brazil.

BACKGROUND: Despite great progress made in methods to prevent mother-to-child transmission of HIV (MTCT), delivery and uptake of these measures remains a challenge in many countries. Although the Brazilian Ministry of Health aimed to eliminate MTCT by 2015, infection still occured in 15-24% of infants born to HIV-infected mothers. We sought to identify remaining factors that constrain MTCT elimination. METHODS: We conducted a retrospective, matched case-control study by reviewing hospital charts of infants born to HIV-infected mothers between 1997 and 2014 at three MTCT reference hospitals in the Rio de Janeiro metropolitan area. Cases were defined as HIV-exposed children with two positive HIV tests before 18 months of age; controls were defined as HIV-exposed children with two negative HIV tests before 18 months of age. We performed bivariate and MTCT cascade analyses to identify risk factors for MTCT and gaps in prevention services. RESULTS: We included 435 infants and their mothers (145 cases, 290 controls). Bivariate analyses of MTCT preventative care (PMTCT) indicated that cases were less likely to complete all individual measures in the antenatal, delivery, and postnatal period (p < 0.05). Assessing completion of the PMTCT cascade, the sequential steps of PMTCT interventions, we found inadequate retention in care among both cases and controls, and cases were significantly less likely than controls to continue receiving care throughout the cascade (p < 0.05). Motives for incompletion of PMTCT measures included infrastructural issues, such as HIV test results not being returned, but were most often due to lack of care-seeking. Over the course of the study period, PMTCT completion improved, although it remained below the 95% target for antenatal care, HIV testing, and antenatal ART set by the WHO. Adding concern, evaluation of co-infections indicated that case infants were also more likely to have congenital syphilis (OR: 4.29; 95% CI: 1.66 to 11.11). CONCLUSIONS: While PMTCT coverage has improved over the years, completion of services remains insufficient. Along with interventions to promote care-seeking behaviour, increased infrastructural support for PMTCT services is needed to meet the HIV MTCT elimination goal in Brazil as well as address rising national rates of congenital syphilis.

A comparison of social and spatial determinants of health between formal and informal settlements in a large metropolitan setting in Brazil.

Urban informal settlements are often under-recognized in national and regional surveys. A lack of quality intra-urban data frequently contributes to a one-size-fits-all public health intervention and clinical strategies that rarely address the variegated socioeconomic disparities across and within different informal settlements in a city. The 2010 Brazilian census gathered detailed population and place-based data across the country's informal settlements. Here, we examined key socio-demographic and infrastructure characteristics that are associated with health outcomes in Rio de Janeiro with the census tract as the unit of analysis. Many of the city's residents (1.39 million people, 22 % of the population) live in informal settlements. Residents of census tracts in Rio de Janeiro's urban informal areas are younger, (median age of 26 versus 35 years in formal settlements), and have less access to adequate water (96 versus 99 % of informal households), sanitation (86 versus 96 %), and electricity (67 versus 92 %). Average per household income in informal settlement census tracts is less than one third that of non-informal tracts (US\$708 versus US\$2362). Even among informal settlements in different planning areas in the same city, there is marked variation in these characteristics. Public health interventions, clinical management, and urban planning policies aiming to improve the living conditions of the people residing in informal settlements, including government strategies currently underway, must consider the differences that exist between and within informal settlements that shape place-based physical and social determinants of health.

Travel patterns during pregnancy: comparison between Global Positioning System (GPS) tracking and questionnaire data.

BACKGROUND: Maternal exposures to traffic-related air pollution have been associated with adverse pregnancy outcomes. Exposures to traffic-related air pollutants are strongly influenced by time spent near traffic. However, little is known about women's travel activities during pregnancy and whether questionnaire-based data can provide reliable information on travel patterns during pregnancy. OBJECTIVES: Examine women's in-vehicle travel behavior during pregnancy and examine the difference in travel data collected by questionnaire and global positioning system (GPS) and their potential for exposure error. METHODS: We measured work-related travel patterns in 56 pregnant women using a questionnaire and one-week GPS tracking three times during pregnancy (<20 weeks, 20-30 weeks, and >30 weeks of gestation). We compared self-reported activities with GPS-derived trip distance and duration, and examined potentially influential factors that may contribute to differences. We also described in-vehicle travel behavior by pregnancy periods and influences of demographic and personal factors on daily travel times. Finally, we estimated personal exposure to particle-bound polycyclic aromatic hydrocarbon (PB-PAH) and examined the magnitude of exposure misclassification using self-reported vs. GPS travel data. RESULTS: Subjects overestimated both trip duration and trip distance compared to the GPS data. We observed moderately high correlations between self-reported and GPS-recorded travel distance (home to work trips: r = 0.88; work to home trips: r = 0.80). Better agreement was observed between the GPS and the self-reported travel time for home to work trips (r = 0.77) than work to home trips (r = 0.64). The subjects on average spent 69 and 93 minutes traveling in vehicles daily based on the GPS and self-reported data, respectively. Longer daily travel time was observed among participants in early pregnancy, and during certain pregnancy periods in women with higher education attainment, higher income, and no children. When comparing self-reported vs. GPS data, we found that estimated personal exposure to PB-PAH did not differ remarkably at the population level, but the difference was large at an individual level. CONCLUSION: Self-reported home-to-work data overestimated both trip duration and trip distance compared to GPS data. Significant differences in PAH exposure estimates were observed at individual level using self-reported vs. GPS data, which has important implications in air pollution epidemiological studies.

Modeling personal particle-bound polycyclic aromatic hydrocarbon (pb-pah) exposure in human subjects in Southern California.

BACKGROUND: Exposure to polycyclic aromatic hydrocarbon (PAH) has been linked to various adverse health outcomes. Personal PAH exposures are usually measured by personal monitoring or biomarkers, which are costly and impractical for a large population. Modeling is a cost-effective alternative to characterize personal PAH exposure although challenges exist because the PAH exposure can be highly variable between locations and individuals in non-occupational settings. In this study we developed models to estimate personal inhalation exposures to particle-bound PAH (PB-PAH) using data from global positioning system (GPS) time-activity tracking data, traffic activity, and questionnaire information. METHODS: We conducted real-time (1-min interval) personal PB-PAH exposure sampling coupled with GPS tracking in 28 non-smoking women for one to three sessions and one to nine days each session from August 2009 to November 2010 in Los Angeles and Orange Counties, California. Each subject filled out a baseline questionnaire and environmental and behavior questionnaires on their typical activities in the previous three months. A validated model was used to classify major time-activity patterns (indoor, in-vehicle, and other) based on the raw GPS data. Multiple-linear regression and mixed effect models were developed to estimate averaged daily and subject-level PB-PAH exposures. The covariates we examined included day of week and time of day, GPS-based time-activity and GPS speed, traffic- and roadway-related parameters, meteorological variables (i.e. temperature, wind speed, relative humidity), and socio-demographic variables and occupational exposures from the questionnaire. RESULTS: We measured personal PB-PAH exposures for 180 days with more than 6 h of valid data on each day. The adjusted R2 of the model was 0.58 for personal daily exposures, 0.61 for subject-level personal exposures, and 0.75 for subject-level micro-environmental exposures. The amount of time in vehicle (averaging 4.5% of total sampling time) explained 48% of the variance in daily personal PB-PAH exposure and 39% of the variance in subject-level exposure. The other major predictors of PB-PAH exposures included length-weighted traffic count, work-related exposures, and percent of weekday time. CONCLUSION: We successfully developed regression models to estimate PB-PAH exposures based on GPS-tracking data, traffic data, and simple questionnaire information. Time in vehicle was the most important determinant of personal PB-PAH exposure in this population. We demonstrated the importance of coupling real-time exposure measures with GPS time-activity tracking in personal air pollution exposure assessment.

Simultaneous circulation of arboviruses and other congenital infections in pregnant women in Rio de Janeiro, Brazil.

BACKGROUND: Arboviruses (Zika, dengue and chikungunya) represent a major risk for pregnant women, especially because their vertical transmission can lead to neurological damage in newborns. Early diagnosis can be difficult due to similar clinical presentation with other congenital infections that are associated with congenital abnormalities. OBJECTIVES: To investigate the circulation of arboviruses and other pathogens responsible for congenital infections, reporting clinical aspects and geographic distribution of maternal rash in a metropolitan region of Rio de Janeiro (Brazil). METHODS: Cross-sectional study with pregnant women presenting rash attended at the Exanthematic Diseases Unit (Niterói, Rio de Janeiro) from 2015 to 2018. Diagnosis of arboviruses was performed by real-time PCR (RT-qPCR) and laboratorial screening for syphilis, toxoplasmosis, rubella, cytomegalovirus and HIV was assessed. Demographic data was used for georeferencing analysis. FINDINGS: We included 121 pregnant women, of whom Zika virus was detected in 45 cases (37.2%), chikungunya in 33 (27.3%) and dengue in one (0.8%). Five patients presented syphilis, and we observed one case each of listeria, cytomegalovirus, and a syphilis-toxoplasmosis case. Similarity of clinical symptoms was observed in all groups; however, 84.8% of patients with chikungunya presented arthralgia. Following the decline of Zika cases, chikungunya infection was mostly observed during 2017-2018. Considering pregnant women infected with arboviruses and other infections, 41% resided in urban slums, mostly in Niterói. MAIN CONCLUSIONS: Simultaneous circulation of arboviruses and other agents responsible for congenital infections were observed; however, we did not identify co-infections between arboviruses. In this scenario, we emphasize the importance of adequate prenatal care to provide an accurate diagnosis of maternal rash.

Performances of different global positioning system devices for time-location tracking in air pollution epidemiological studies.

BACKGROUND: People's time-location patterns are important in air pollution exposure assessment because pollution levels may vary considerably by location. A growing number of studies are using global positioning systems (GPS) to track people's time-location patterns. Many portable GPS units that archive location are commercially available at a cost that makes their use feasible for epidemiological studies. METHODS: We evaluated the performance of five portable GPS data loggers and two GPS cell phones by examining positional accuracy in typical locations (indoor, outdoor, in-vehicle) and factors that influence satellite reception (building material, building type), acquisition time (cold and warm start), battery life, and adequacy of memory for data storage. We examined stationary locations (eg, indoor, outdoor) and mobile environments (eg, walking, traveling by vehicle or bus) and compared GPS locations to highly-resolved US Geological Survey (USGS) and Digital Orthophoto Quarter Quadrangle (DOQQ) maps. RESULTS: The battery life of our tested instruments ranged from <9 hours to 48 hours. The acquisition of location time after startup ranged from a few seconds to >20 minutes and varied significantly by building structure type and by cold or warm start. No GPS device was found to have consistently superior performance with regard to spatial accuracy and signal loss. At fixed outdoor locations, 65%-95% of GPS points fell within 20-m of the corresponding DOQQ locations for all the devices. At fixed indoor locations, 50%-80% of GPS points fell within 20-m of the corresponding DOQQ locations for all the devices except one. Most of the GPS devices performed well during commuting on a freeway, with >80% of points within 10-m of the DOQQ route, but the performance was significantly impacted by surrounding structures on surface streets in highly urbanized areas. CONCLUSIONS: All the tested GPS devices had limitations, but we identified several devices which showed promising performance for tracking subjects' time location patterns in epidemiological studies.