Preterm birth and neonatal mortality in selected slums in and around Dhaka City of Bangladesh: A cohort study.

BACKGROUND: Although under-five mortality has declined appreciably in Bangladesh over the last few decades, neonatal mortality still remains high. The objective of the study is to assess the level and determinants of preterm birth and the contribution of preterm birth to neonatal mortality. METHODS: Data for this study came from selected slums in and around Dhaka city, where; since 2015, icddr,b has been maintaining the Health and Demographic Surveillance System (HDSS). The HDSS data were collected by female Field Workers by visiting each household every three months; however, during the visit, data on the Last Menstrual Period (LMP) were also collected by asking each eligible woman to ascertain the date of conception. Gestational age was estimated in complete weeks by subtracting LMP from the date of the pregnancy outcome. In this study, 6,989 livebirths were recorded by HDSS during 2016-2018, and these births were followed for neonatal survival; both bivariate and multivariate analyses were performed. RESULTS: Out of total births, 21.7% were born preterm (before 37 weeks of gestation), and sub-categories were: 2.19% for very preterm (28 to 31 weeks), 3.81% for moderate preterm (32 to 33 weeks), and 15.71% for late preterm (34 to 36 weeks). The study revealed that preterm babies contributed to 39.6% of neonatal deaths; however, the probability of death was very high on the 1st day of birth (0.124 for very preterm, 0.048 for moderate preterm, 0.024 for late preterm, and 0.013 for term birth), and continued until the 3rd day. In the regression analysis, compared to the term neonates, the odds of neonatal mortality were 8.66 (CI: 5.63, 13.32, p<0.01), 4.13 (CI: 2.69, 6.34, p<0.01) and 1.48 (CI: 1.05, 2.08, p<0.05) respectively for very, moderate, and late preterm birth categories. The population attributable fraction for neonatal mortality was 23%, and sub-categories were 14% for very preterm, 10% for moderate preterm, and 6% for late preterm. CONCLUSIONS: Although urban slums are in proximity to many health facilities, a substantial proportion of preterm births contribute to neonatal deaths. So, pregnant women should be targeted, to ensure timely care during pregnancy, delivery, and post-partum periods to improve the survival of new-borns in general and preterm birth in particular.

Factors Associated with Reported COVID-like Symptoms and Seroprevalence Data Matched with COVID-like Symptoms in Slums and Non-Slums of Two Major Cities in Bangladesh.

OBJECTIVES: To examine the levels and socio-demographic differentials of: (a) reported COVID-like symptoms; and (b) seroprevalence data matched with COVID-like symptoms. METHODS: Survey data of reported COVID-like symptoms and seroprevalence were assessed by Roche Elecsys® Anti-SARS-CoV-2 immunoassay. Survey data of 10,050 individuals for COVID-like symptoms and seroprevalence data of 3205 individuals matched with COVID-like symptoms were analyzed using bivariate and multivariate logistic analysis. RESULTS: The odds of COVID-like symptoms were significantly higher for Chattogram city, for non-slum, people having longer years of schooling, working class, income-affected households, while for households with higher income had lower odd. The odds of matched seroprevalence and COVID-like symptoms were higher for non-slum, people having longer years of schooling, and for working class. Out of the seropositive cases, 37.77% were symptomatic-seropositive, and 62.23% were asymptomatic, while out of seronegative cases, 68.96% had no COVID-like symptoms. CONCLUSIONS: Collecting community-based seroprevalence data is important to assess the extent of exposure and to initiate mitigation and awareness programs to reduce COVID-19 burden.

Levels, trends and socio-demographic determinants of infant and under-five mortalities in and around slum areas of Dhaka city, Bangladesh.

Infant and child mortality are often used to monitor the progress of national population health programs. The data for this study was collected from selected urban slums where icddr,b has maintained the Health and Demographic Surveillance System (HDSS). Using the HDSS database, 6,666 married women were selected and interviewed in 2018 to collect data on socioeconomic status, pregnancy history and safe motherhood practices. The study examined levels and trends of infant and under-five mortality for three periods: 1990-1999 (Period 1), 2000-2009 (Period 2), and 2010-2018 (Period 3) and examined socio-demographic differentials of infant and under-five mortality for Period 3. From Period 1 to Period 3, under-five mortality declined by 68.2%, with child mortality (1-4 years) declining more than infant mortality (84% vs. 65%). In the regression models for Period 3, infant and under-five mortality were higher for working than non-working mothers (infant: OR = 1.35*, CI: 0.98, 1.86; under-five: OR = 1.34*, CI: 0.99, 1.82), lower for girls than boys (infant: OR = 0.77*, CI: 0.57, 1.03; under-five: OR = 0.77*, CI: 0.58, 1.03), higher for small-size than normal/big-size babies (infant: OR = 4.11***, CI: 3.00, 5.64; under-five: OR = 3.68***, CI: 2.70, 5.02), higher for babies delivered vaginally than by caesarean section (infant: OR = 1.79**, CI: 1.14, 2.97; under-five: OR = 1.87***, CI: 1.21, 2.88), higher for babies delivered with complications than no complication (infant: OR = 2.16***, CI: 1.48, 3.15; under-five: OR = 2.21***, CI: 1.55, 3.18), and higher for babies born after a short (<24 months) birth interval (infant: OR = 1.71*, CI: 0.96, 3.05; under-five: OR = 1.63*, CI: 0.93, 2.86) than firstborns. While substantial progress has been made in reducing under-five and infant mortality, neonatal mortality have declined less slowly. Targeted population health interventions addressing the socio-demographic drivers of infant mortality, with a focus on the urban poor, will help Bangladesh achieve Sustainable Development Goal 3.

Correction to: Association of Time since Migration from Rural to Urban Slums and Maternal and Child Outcomes: Dhaka (North and South) and Gazipur City Corporations.

There is an error in Fig 2 in this article: There should not be a box indicating p-values.

Association of Time since Migration from Rural to Urban Slums and Maternal and Child Outcomes: Dhaka (North and South) and Gazipur City Corporations.

This study analyzes data from a new Urban Health and Demographic Surveillance (UHDSS) in five slums in Dhaka (North and South) and Gazipur City Corporations to examine the relationship between migration status and maternal and child health service utilization. Migration status was determined by duration in urban slums (<= 9.99 years, 10-19.99 years, 20+ years, and urban-born). Compared to those born in the city, migrants were characterized by significant disadvantages in every maternal, neonatal, and child health (MNCH) indicator under study, including antenatal care, facility-based delivery, doctor-assisted delivery, child immunization, caesarean-section delivery, and use of modern contraceptives. We found that the level of service coverage among migrants gradually converged-but did not fully converge-to that of the urban-born with increasing duration in the city. We observed a strong positive association between wealth and total MNCH coverage, with a more modest association with higher levels of schooling attainment. Women who were engaged in market employment were less likely to receive adequate coverage, suggesting a tradeoff between livelihood attainment and mother-and-child health. After controlling for these socioeconomic and neighborhood variations in coverage, the duration gradient was diminished but still significant. In line with existing studies of healthcare access, this study highlights the persistent and widespread burden of unequal access to maternal and child health care facing migrants to slum areas, even relative to the overall disadvantages experienced in informal settlements.