Predictions of COVID-19 case growth and mortality are critical to the decisions political leaders, businesses, individuals grappling with pandemic. This predictive task is challenging due novelty virus, limited data, dynamic societal responses. We embed a Bayesian time series model random forest algorithm within an epidemiological compartmental for empirically grounded predictions. The fits location-specific curve velocity (first derivative) log transformed cumulative count, borrowing...

Background: Research shows that caregiver mental health problems have direct, significant effects on child behaviour. While these risks are amplified in low-resource settings, limited evidence exists from places, especially sub-Saharan Africa.Objective: We measured associations between and behaviour a rural Kenyan sample, hypothesizing higher rates of would be associated with increased behavioural problems. also sought to provide an overview symptoms our sample.Method: Cross-sectional data...

Good mental health is a critical resource for mothers and caregivers of young children, given the central role in enabling responsive caregiving. However, fulfilling caregiving responsibilities under challenging circumstances such as extreme poverty, food insecurity, gender inequality intensifies vulnerability to poor health. Previous research focuses on mothers, while many LMICs children are cared by other caregivers, grandparents. We examined prevalence problems among primary rural...

In emerging epidemics, early estimates of key epidemiological characteristics the disease are critical for guiding public policy. particular, identifying high-risk population subgroups aids policymakers and health officials in combating epidemic. This has been challenging during coronavirus 2019 (COVID-19) pandemic because governmental agencies typically release aggregate COVID-19 data as summary statistics patient demographics. These may identify disparities outcomes between broad...

Little is known about how young children in low- and middle-income countries (LMICs) experience violence their homes, different types of household may affect child development. This study reports on levels exposure to associations with behavioural outcomes preschool-aged western Kenya. A sample 465 caregivers, whose (n = 497) attended early learning centres supported by an international NGO, were enrolled the study. Caregivers reported intimate partner (IPV), discipline practices, attitudes...

Abstract Background: Human papillomavirus (HPV) vaccines can significantly reduce the burden of HPV-associated cancers, but remain underutilized. We evaluated a multi-component, system-level intervention to improve HPV vaccination in large Federally Qualified Health Center (FQHC) that serves primarily low income Latino population. Methods: From January 2015 through March 2017, we effectiveness rates eight clinics randomly assigned study condition (four intervention, four usual care). The...

Households with a disabled member, be they caregiver or child, are poorer than households not affected by disability. Poverty, caregiving as person disability and being the of child can lead to increased parenting stress.The objective this study was examine whether stress experienced caregivers in household member is greater when caregiver, how much these respective relationships explained poverty.We collected cross-sectional data using demographic survey, Washington Group Questions on adult...

Predictions of COVID-19 case growth and mortality are critical to the decisions political leaders, businesses, individuals grappling with pandemic. This predictive task is challenging due novelty virus, limited data, dynamic societal responses. We embed a Bayesian nonlinear mixed model random forest algorithm within an epidemiological compartmental for empirically grounded predictions. The fits location-specific curve velocity (first derivative) transformed cumulative count, borrowing...

Stepped wedge design (SWD) trials are cluster randomized that feature staggered, unidirectional cross‐over between treatment conditions. Existing literature on power for SWDs focuses primarily designs with two conditions, typically a control and an intervention condition. However, more than one condition being proposed conducted. We present linear mixed model or interventions, including both multiarm factorial designs. derive standard errors of the effect coefficients, calculation methods....

Background: Predictions of COVID-19 case growth and mortality are critical to the decisions political leaders, businesses, individuals grappling with pandemic. This predictive task is challenging due novelty virus, limited data, dynamic societal responses.Methods: We embed a Bayesian nonlinear mixed model random forest algorithm within an epidemiological compartmental for empirically grounded predictions. The fits location-specific curve velocity (first derivative) transformed cumulative...

Abstract In emerging epidemics, early estimates of key epidemiological characteristics the disease are critical for guiding public policy. particular, identifying high risk population subgroups aids policymakers and health officials in combatting epidemic. This has been challenging during coronavirus 2019 (COVID-19) pandemic, because governmental agencies typically release aggregate COVID-19 data as marginal summary statistics patient demographics. These may identify disparities outcomes...

A bstract Stepped wedge designs (SWDs) are for cluster randomized trials that feature staggered, unidirectional cross-over, typically from a control to treatment condition. Existing literature on statistical power SWDs primarily focuses with single treatment. However, multiple treatments being proposed and conducted. We present linear mixed model SWD two treatments, without an interaction between them. derive closed form solutions the standard errors of effect coefficients such models along...

Multistate models are useful for studying exposures that affect transitions among a set of health states. However, they can be challenging to apply when time-varying. We develop multistate model and method likelihood construction allows application the data in which interventions or other time-varying an individual may exposed multiple intervention conditions while progressing through The includes cure proportions, reflecting possibility some individuals will never leave certain approach...

Stepped wedge designs (SWDs) are for cluster randomized trials that feature staggered, unidirectional cross-over, typically from a control to treatment condition. Existing literature on statistical power SWDs primarily focuses with single treatment. However, multiple treatments being proposed and conducted. We present linear mixed model SWD two treatments, without an interaction between them. derive closed form solutions the standard errors of effect coefficients such models along...