Project description:We present the first analysis of face-to-face contact network data from Niakhar, Senegal. Participants in a cluster-randomized influenza vaccine trial were interviewed about their contact patterns when they reported symptoms during their weekly household surveillance visit. We employ a negative binomial model to estimate effects of covariates on contact degree. We estimate the mean contact degree for asymptomatic Niakhar residents to be 16.5 (95% C.I. 14.3, 18.7) in the morning and 14.8 in the afternoon (95% C.I. 12.7, 16.9). We estimate that symptomatic people make 10% fewer contacts than asymptomatic people (95% C.I. 5%, 16%; p = 0.006), and those aged 0-5 make 33% fewer contacts than adults (95% C.I. 29%, 37%; p < 0.001). By explicitly modelling the partial rounding pattern observed in our data, we make inference for both the underlying (true) distribution of contacts as well as for the reported distribution. We created an estimator for homophily by compound (household) membership and estimate that 48% of contacts by symptomatic people are made to their own compound members in the morning (95% CI, 45%, 52%) and 60% in the afternoon/evening (95% CI, 56%, 64%). We did not find a significant effect of symptom status on compound homophily. We compare our findings to those from other countries and make design recommendations for future surveys.
Project description:(1) Background: To explore the effects of the 2008 economic crisis on maternal, perinatal and infant mortality in Greece and the socio-economic determinants associated with them; (2) Methods: The annual rates of stillbirth (SBR), perinatal mortality (PMR), infant mortality (IMR), neonatal mortality (NNMR), post-neonatal mortality (PNMR), low birth weight (LBW), and maternal mortality (MMR) were calculated for the years 2000-2016. Average Annual Percent Changes (AAPC) were calculated by the period before and after 2008. The expected rates of 2009-2016 and the observed-to-expected rate ratios (RR) were calculated. Correlation and multiple linear regression analyses were used to test the impact of socio-economic variables on health outcomes; (3) Results: A reverse in downwards trends of PNM, IMR, and NNMR is observed since 2009. All observed values of 2009-2016 were found significantly higher than the expected ones by 12-34%. All indicators except SBR were found negatively correlated with GDP and DHI. A positive correlation was found between IMR, NNMR, and LBW and long-term unemployment, and no association with public health expenditure; (4) Conclusions: Economic crisis was associated with remarkable adverse effects on perinatal outcomes and infant mortality, mainly determined by long-term unemployment and income reduction. The findings stress a need for interventions to protect maternity and child health during crises.
Project description:BackgroundIn countries with limited vital registration, adult mortality is frequently estimated using siblings' survival histories (SSHs) collected during Demographic and Health Surveys (DHS). These data are affected by reporting errors. We developed a new SSH questionnaire, the siblings' survival calendar (SSC). It incorporates supplementary interviewing techniques to limit omissions of siblings and uses an event history calendar to improve reports of dates and ages. We hypothesized that the SSC would improve the quality of adult mortality data.Methods and findingsWe conducted a retrospective validation study among the population of the Niakhar Health and Demographic Surveillance System in Senegal. We randomly assigned men and women aged 15-59 y to an interview with either the DHS questionnaire or the SSC. We compared SSHs collected in each group to prospective data on adult mortality collected in Niakhar. The SSC reduced respondents' tendency to round reports of dates and ages to the nearest multiple of five or ten ("heaping"). The SSC also had higher sensitivity in recording adult female deaths: among respondents whose sister(s) had died at an adult age in the past 15 y, 89.6% reported an adult female death during SSC interviews versus 75.6% in DHS interviews (p = 0.027). The specificity of the SSC was similar to that of the DHS questionnaire, i.e., it did not increase the number of false reports of deaths. However, the SSC did not improve the reporting of adult deaths among the brothers of respondents. Study limitations include sample selectivity, limited external validity, and multiple testing.ConclusionsThe SSC has the potential to collect more accurate SSHs than the questionnaire used in DHS. Further research is needed to assess the effects of the SSC on estimates of adult mortality rates. Additional validation studies should be conducted in different social and epidemiological settings.Trial registrationControlled-Trials.com ISRCTN06849961
Project description:ObjectiveThe Birth Score Project (Project WATCH) began in the rural state of West Virginia (WV) in the United States in 1984. The project is intended to identify newborns with a greater risk of infant mortality. The primary objective of this study was to update the current Birth Score based on current literature and rigorous statistical methodology.Study designThe study merged data from the Birth Score, Birth Certificate (birth years 2008-2013), and Infant Mortality Data (N = 121,640). The merged data were randomly divided into developmental (N = 85,148) and validation (N = 36,492) datasets. Risk scoring system was developed using the weighted multivariate risk score functions and consisted of infant and maternal factors.ResultsThe updated score ranged from 0 to 86. Infants with a score of ≥17 were categorized into the high score group (n = 15,387; 18.1%). The odds of infant mortality were 5.6 times higher (95% confidence interval: 4.4, 7.1) among those who had a high score versus low score.ConclusionThe updated score is a better predictor of infant mortality than the current Birth Score. This score has practical relevance for physicians in WV to identify newborns at the greatest risk of infant mortality and refer the infants to primary pediatric services and case management for close follow-up.
Project description:BackgroundCree births in Quebec are characterized by the highest reported prevalence of macrosomia (~35%) in the world. It is unclear whether Cree births are at greater elevated risk of perinatal and infant mortality than other First Nations relative to non-Aboriginal births in Quebec, and if macrosomia may be related.MethodsThis was a population-based retrospective birth cohort study using the linked birth-infant death database for singleton births to mothers from Cree (n = 5,340), other First Nations (n = 10,810) and non-Aboriginal (n = 229,960) communities in Quebec, 1996-2010. Community type was ascertained by residential postal code and municipality name. The primary outcomes were perinatal and infant mortality.ResultsMacrosomia (birth weight for gestational age >90th percentile) was substantially more frequent in Cree (38.0%) and other First Nations (21.9%) vs non-Aboriginal (9.4%) communities. Comparing Cree and other First Nations vs non-Aboriginal communities, perinatal mortality rates were 1.52 (95% confidence intervals 1.17, 1.98) and 1.34 (1.10, 1.64) times higher, and infant mortality rates 2.27 (1.71, 3.02) and 1.49 (1.16, 1.91) times higher, respectively. The risk elevations in perinatal and infant death in Cree communities attenuated after adjusting for maternal characteristics (age, education, marital status, parity), but became greater after further adjustment for birth weight (small, appropriate, or large for gestational age).ConclusionsCree communities had greater risk elevations in perinatal and infant mortality than other First Nations relative to non-Aboriginal communities in Quebec. High prevalence of macrosomia did not explain the elevated risk of perinatal and infant mortality in Cree communities.
Project description:PurposeMaternal perinatal social support is theorised to promote offspring social-emotional development, yet few studies have prospectively examined this relationship. Findings may inform preventative intervention efforts, to support a healthy start to emotional life.MethodsThis study examined whether maternal social support perinatally predicts infant social-emotional development at 12 months of age in two longitudinal cohort studies: The Australian Temperament Project (ATP) (n = 1,052 mother-infant dyads [653 mothers, M age_at_birth = 32.03, 88% Australian-born; 1,052 infants, 52% girls]) and The Triple B Pregnancy Cohort Study (Triple B) (n = 1,537 dyads [1,498 mothers, M age_at_birth = 32.53, 56% Australian-born; 1,537 infants, 49% girls]). Social support was assessed at pregnancy (third trimester) and eight-weeks post-birth. Infant social-emotional competencies (ATP: Brief Infant and Toddler Social and Emotional Assessment (BITSEA), Competencies Scale; Triple B: Bayley Scales of Infant and Toddler Development-Social Emotional Scale) and problems (ATP: BITSEA, Problems Scale; Triple B: Ages and Stages Questionnaires: Social-Emotional Scale), were assessed at 12-months of age.ResultsIn ATP, social support was associated with lower offspring problems (pregnancy: β = -0.15; post-birth: β = -0.12) and greater competencies (pregnancy: β = 0.12; post-birth: β = 0.16) at 12 months. In Triple B, social support also predicted lower offspring problems (pregnancy: β = -0.11; post-birth: β = -0.07) and greater competencies (pregnancy: β = 0.07) at 12 months. Findings did not indicate an association between support at eight-weeks post-birth and subsequent competencies (β = 0.06).ConclusionsEvidence suggests that perinatal social support promotes healthy infant social and emotional development. These results underscore the critical importance of social support for mothers transitioning into parenthood.
Project description:Policy Points State-level social and economic policies that expand tax credits, increase paid parental leave, raise the minimum wage, and increase tobacco taxes have been demonstrated to reduce adverse perinatal and infant health outcomes. These findings can help prioritize evidence-based legislated policies to improve perinatal and infant outcomes in the United States.ContextRates of preterm birth and infant mortality are alarmingly high in the United States. Legislated efforts may directly or indirectly reduce adverse perinatal and infant outcomes through the enactment of certain economic and social policies.MethodsWe conducted a narrative review to summarize the associations between perinatal and infant outcomes and four state-level US policies. We then used a latent profile analysis to create a social and economic policy profile for each state based on the observed policy indicators.FindingsOf 27 articles identified, nine focused on tax credits, eight on paid parental leave, four on minimum wages, and six on tobacco taxes. In all but three studies, these policies were associated with improved perinatal or infant outcomes. Thirty-three states had tax credit laws, most commonly the earned income tax credit (n = 28, 56%). Eighteen states had parental leave laws. Two states had minimum wage laws lower than the federal minimum; 14 were equal to the federal minimum; 29 were above the federal minimum; and 5 did not have a state law. The average state tobacco tax was $1.76 (standard deviation = $1.08). The latent profile analysis revealed three policy profiles, with the most expansive policies in Western and Northeastern US states, and the least expansive policies in the US South.ConclusionsState-level social and economic policies have the potential to reduce adverse perinatal and infant health outcomes in the United States. Those states with the least expansive policies should therefore consider enacting these evidence-based policies, as they have shown a demonstratable benefit in other states.
Project description:ObjectiveTo provide updates on maternal, infant, and perinatal mortality using the national population data of South Korea between 2009 and 2017 and describe the mortality rate by target groups, timing, or causes of events to provide a basis for detecting vulnerable populations and ensuring timely medical and political interventions.MethodsPregnancy-related mortality in women, as well as deaths of infants, in South Korea was identified using population data from Statistics Korea. Records from death certificates, cremation reports on infant and fetal deaths, and the complementary cause-of-death investigation system were reviewed for the 2009-2017 period.ResultsA total of 461 maternal deaths, 11,717 infant deaths, and 12,249 perinatal deaths, including fetal deaths over 28 gestational weeks, were identified from 3,945,159 live births between 2009 and 2017. The maternal mortality ratio was 13.5 deaths per 100,000 live births in 2009 and decreased to 7.8 in 2017. Only the rate of deaths related to hypertensive disorders showed an increasing tendency. Both the infant and perinatal mortality rates improved (from 3.2 deaths per 1,000 live births in 2009 to 2.8 in 2017 and from 3.5 to 2.7, respectively). Among the external causes of infant mortality, assaults including homicides accounted for 25% (n=150), and this proportion was constant throughout the study period.ConclusionOverall improvements were observed in all maternal, infant, and perinatal mortality measures. In-depth analysis and interventions with respect to certain causes, such as hypertensive disorders in mothers or assaults in infants, should be considered priority issues.