Cross-sectional analysis of risk factors associated with the coexistence of three undernutrition indicators among children aged 0-23 months in Tanzania.

Background: Undernutrition in children under two years is a persistent challenge in Tanzania. This study investigates demographic, maternal, and child-related factors associated with stunting, wasting, and underweight coexistence.

Methods: Secondary data from 2,158 children aged 0-23 months in the 2022 Tanzania Demographic and Health Survey (TDHS) were analyzed.

Bayesian spatial-temporal analysis and determinants of cardiovascular diseases in Tanzania mainland.

Background: Cardiovascular Diseases (CVDs) are health-threatening conditions that account for high mortality in the world. Approximately 23.6 million deaths due to CVD is expected in the year 2030 worldwide.

The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation.

Cardiovascular Disease (CVD) is currently the major challenge to people's health and the world's top cause of death. In Tanzania, deaths due to CVD account for about 13% of the total deaths caused by the non-communicable diseases. This study examined the spatio-temporal clustering of CVDs from 2010 to 2019 in Tanzania for retrospective spatio-temporal analysis using the Bernoulli probability model on data sampled from four selected hospitals.

Analysis of Correlated Outcomes of Anthropometric Measurements for Under-Five Children in Tanzania.

The study aimed at applying Multivariate Generalized Linear Mixed Models to examine factors associated with correlation outcomes, in particular, anthropometric measurements among under-five children in Tanzania. Three anthropometric measurements: weight-for-age (WAZ), height-for-age (HAZ), and weight-for-height (WHZ) among under-five children in Tanzania were jointly modeled to identify common factors associated with childhood malnutrition. A total of 9052 children with valid measures of height and weight were processed and analyzed.

Statistical methods applied for the assessment of the HIV cascade and continuum of care: a systematic scoping review.

Objectives: This scoping review aims to identify and synthesise existing statistical methods used to assess the progress of HIV treatment programmes in terms of the HIV cascade and continuum of care among people living with HIV (PLHIV).

Design: Systematic scoping review.

Data Sources: Published articles were retrieved from PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete and Excerpta Medica dataBASE (EMBASE) databases between April and July 2022.

Classification of breast cancer recurrence based on imputed data: a simulation study.

Several studies have been conducted to classify various real life events but few are in medical fields; particularly about breast recurrence under statistical techniques. To our knowledge, there is no reported comparison of statistical classification accuracy and classifiers' discriminative ability on breast cancer recurrence in presence of imputed missing data. Therefore, this article aims to fill this analysis gap by comparing the performance of binary classifiers (logistic regression, linear and quadratic discriminant analysis) using several datasets resulted from imputation process using various simulation conditions.

Coexistence and correlates of forms of malnutrition among mothers and under-five child pairs in Tanzania.

Improving the health and well-being of mothers and children is a priority worldwide. The present study aimed to examine the coexistence and correlates of malnutrition among mothers and under-five child pairs using Tanzania Demographic Health Survey 2015-16 data. Height-for-age, height-for-weight and weight-for-age -scores were used to assess the nutritional status of children, while body mass index was used to assess the nutritional status of mothers.

Assessing the effects of mosquito nets on malaria mortality using a space time model: a case study of Rufiji and Ifakara Health and Demographic Surveillance System sites in rural Tanzania.

Background: Although malaria decline has been observed in most sub-Saharan African countries, the disease still represents a significant public health burden in Tanzania. There are contradictions on the effect of ownership of at least one mosquito net at household on malaria mortality. This study presents a Bayesian modelling framework for the analysis of the effect of ownership of at least one mosquito net at household on malaria mortality with environmental factors as confounder variables.

Spatial and space-time clustering of mortality due to malaria in rural Tanzania: evidence from Ifakara and Rufiji Health and Demographic Surveillance System sites.

Background: Although, malaria control interventions are widely implemented to eliminate malaria disease, malaria is still a public health problem in Tanzania. Understanding the risk factors, spatial and space-time clustering for malaria deaths is essential for targeting malaria interventions and effective control measures. In this study, spatial methods were used to identify local malaria mortality clustering using verbal autopsy data.