Factors Associated with Stunting among Pre-school Children in Southern Highlands of Tanzania

Stunting is a major public health problem in Africa and is associated with poor child survival and development. We investigate factors associated to child stunting in three Tanzanian regions. A cross-sectional two-stage cluster sampling survey was conducted among children aged 6-59 months. The sample included 1360 children aged 6-23 months and 1904 children aged 24-59 months. Descriptive statistics and binary and multivariate logistic regression analyses were used. Our main results are: in the younger group, stunting was associated with male sex (adjusted odds ratio [AOR]: 2.17; confidence interval [CI]: 1.52-3.09), maternal absence (AOR: 1.93; CI: 1.21-3.07) and household diet diversity (AOR: 0.61; CI: 0.41-0.92). Among older children, stunting was associated with male sex (AOR: 1.28; CI: 1.00-1.64), age of 4 and 5 (AOR: 0.71; CI: 0.54-0.95; AOR: 0.60; CI: 0.44-0.83), access to improved water source (AOR: 0.70; CI: 0.52-0.93) and to a functioning water station (AOR: 0.63; CI: 0.40–0.98) and mother breastfeeding (AOR: 1.97; CI: 1.18-3.29). Interventions that increase household wealth and improve water and sanitation conditions should be implemented to reduce stunting. Family planning activities and programmes supporting mothers during pregnancy and lactation can positively affect both newborns and older siblings

COVID-19 in humanitarian settings: documenting and sharing context-specific programmatic experiences.

Humanitarian organizations have developed innovative and context specific interventions in response to the COVID-19 pandemic as guidance has been normative in nature and most are not humanitarian specific. In April 2020, three universities developed a COVID-19 humanitarian-specific website ( www.covid19humanitarian.com ) to allow humanitarians from the field to upload their experiences or be interviewed by academics to share their creative responses adapted to their specific country challenges in a standardised manner. These field experiences are reviewed by the three universities together with various guidance documents and uploaded to the website using an operational framework. The website currently hosts 135 guidance documents developed by 65 different organizations, and 65 field experiences shared by 29 organizations from 27 countries covering 38 thematic areas. Examples of challenges and innovative solutions from humanitarian settings are provided for triage and sexual and gender-based violence. Offering open access resources on a neutral platform by academics can provide a space for constructive dialogue among humanitarians at the country, regional and global levels, allowing humanitarian actors at the country level to have a strong and central voice. We believe that this neutral and openly accessible platform can serve as an example for future large-scale emergencies and epidemics

Unconditional cash transfers do not prevent children's undernutrition in the Moderate Acute Malnutrition Out (MAM'Out) cluster-randomized controlled trial in rural Burkina Faso

International audienceBackground: Limited evidence is available on the impact that unconditional cash transfer (UCT) programs can have on child nutrition, particularly in West Africa, where child undernutrition is still a public health challenge.Objective: This study examined the impact of a multiannual, seasonal UCT program to reduce the occurrence of wasting (weight-for-height, midupper arm circumference), stunting (height-for-age), and morbidity among children 0.05) in children's anthropometric measurements and stunting between the 2 groups at the end point. However, children in the intervention group had a lower risk [21% (95% CI: 18.6%, 21.3%); P < 0.001] of self-reported respiratory tract infections than did children in the control group.Conclusions: We found that seasonal UCTs in the framework of safety nets did not result in a significant decrease in the incidence of acute malnutrition among children in Tapoa Province. Cash transfers combined with complementary interventions targeted to child nutrition and health should be investigated further. This trial was registered at clinicaltrials.gov as NCT01866124

Delivering health interventions to women, children, and adolescents in conflict settings: what have we learned from ten country case studies?

Armed conflict disproportionately affects the morbidity, mortality, and wellbeing of women, newborns, children, and adolescents. Our study presents insights from a collection of ten country case studies aiming to assess the provision of sexual, reproductive, maternal, newborn, child, and adolescent health and nutrition interventions in ten conflict-affected settings in Afghanistan, Colombia, Democratic Republic of the Congo, Mali, Nigeria, Pakistan, Somalia, South Sudan, Syria, and Yemen. We found that despite large variations in contexts and decision making processes, antenatal care, basic emergency obstetric and newborn care, comprehensive emergency obstetric and newborn care, immunisation, treatment of common childhood illnesses, infant and young child feeding, and malnutrition treatment and screening were prioritised in these ten conflict settings. Many lifesaving women's and children's health (WCH) services, including the majority of reproductive, newborn, and adolescent health services, are not reported as being delivered in the ten conflict settings, and interventions to address stillbirths are absent. International donors remain the primary drivers of influencing the what, where, and how of implementing WCH interventions. Interpretation of WCH outcomes in conflict settings are particularly context-dependent given the myriad of complex factors that constitute conflict and their interactions. Moreover, the comprehensiveness and quality of data remain limited in conflict settings. The dynamic nature of modern conflict and the expanding role of non-state armed groups in large geographic areas pose new challenges to delivering WCH services. However, the humanitarian system is creative and pluralistic and has developed some novel solutions to bring lifesaving WCH services closer to populations using new modes of delivery. These solutions, when rigorously evaluated, can represent concrete response to current implementation challenges to modern armed conflicts

PLoS Negl Trop Dis

BACKGROUND: During the Ebola virus disease (EVD) epidemic in Liberia, contact tracing was implemented to rapidly detect new cases and prevent further transmission. We describe the scope and characteristics of contact tracing in Liberia and assess its performance during the 2014-2015 EVD epidemic. METHODOLOGY/PRINCIPAL FINDINGS: We performed a retrospective descriptive analysis of data collection forms for contact tracing conducted in six counties during June 2014-July 2015. EVD case counts from situation reports in the same counties were used to assess contact tracing coverage and sensitivity. Contacts who presented with symptoms and/or died, and monitoring was stopped, were classified as "potential cases". Positive predictive value (PPV) was defined as the proportion of traced contacts who were identified as potential cases. Bivariate and multivariate logistic regression models were used to identify characteristics among potential cases. We analyzed 25,830 contact tracing records for contacts who had monitoring initiated or were last exposed between June 4, 2014 and July 13, 2015. Contact tracing was initiated for 26.7% of total EVD cases and detected 3.6% of all new cases during this period. Eighty-eight percent of contacts completed monitoring, and 334 contacts were identified as potential cases (PPV = 1.4%). Potential cases were more likely to be detected early in the outbreak; hail from rural areas; report multiple exposures and symptoms; have household contact or direct bodily or fluid contact; and report nausea, fever, or weakness compared to contacts who completed monitoring. CONCLUSIONS/SIGNIFICANCE: Contact tracing was a critical intervention in Liberia and represented one of the largest contact tracing efforts during an epidemic in history. While there were notable improvements in implementation over time, these data suggest there were limitations to its performance-particularly in urban districts and during peak transmission. Recommendations for improving performance include integrated surveillance, decentralized management of multidisciplinary teams, comprehensive protocols, and community-led strategies

Child Wasting in Emergency Pockets: A Meta-Analysis of Small-Scale Surveys from Ethiopia

Child undernutrition is a major public health concern in Ethiopia (stunting national prevalence: 44%; wasting: 10%), despite the overall improvement in child health status during the last decade. Hundreds of small-scale surveys are conducted in Ethiopia’s emergency pockets under ENCU’s supervision. We reviewed the evidence from small-scale surveys conducted between 2008 and 2013 with two objectives: to provide a summary estimate of wasting prevalence from emergency pockets and to examine reasons for variation in prevalence estimates. We created a dataset by combining data from the Complex Emergency Database, the Famine Early Warning System Network and the Armed Conflict Location Event Data. We conducted a meta-analysis of small-scale surveys using a random effects model with known within-study heterogeneity. The influence of survey covariates on estimated prevalence was investigated with meta-regression techniques. We included 158 surveys in the analysis. A high degree of heterogeneity among surveys was observed. The overall estimate of wasting prevalence was 10.6% (95% CI 9.8–11.4), with differences among regions and between residents and refugees. Meta-regression results showed that vaccination coverage, child mortality, diarrhea prevalence and food insecurity are significantly associated with wasting prevalence. Child care and displacement status were not. Aggregated analysis of small-scale surveys provides insights into the prevalence of wasting and factors explaining its variation. It can also guide survey planning towards areas with limited data availability

Harvesting knowledge from insecure settings : the case of nutrition in Ethiopia

This thesis delves into the issue of availability and creation of knowledge in complex emergencies. We discuss health and nutrition data quality, accessibility and use for operational, policy and scientific purposes. Understanding the impact of conflict on populations’ health is essential for humanitarian interventions to effectively respond. Yet, collecting data to generate sound evidence is arduous due to limited access and insecurity. Meanwhile, Non-Governmental Organisations providing humanitarian aid have greater access to populations and collect data to monitor programmes. We investigate how programme data can be exploited by applying scientific methods. We focused on small-scale mortality and nutrition surveys, extensively used to collect representative data on emergency-affected communities. Small-scale surveys proved to be an important source of health and nutrition information. Their aggregated analysis elucidates trends and associations of health variables. Specifically, the case study on undernutrition in Ethiopia provides estimates of wasting prevalence, identifies factors explaining its variation and can guide survey planning towards areas with limited data availability.(SP - Sciences de la santé publique) -- UCL, 201

The Complex Emergency Database: a global repository of small-scale surveys on nutrition, health and mortality.

Evidence has become central for humanitarian decision making, as it is now commonly agreed that aid must be provided solely in proportion to the needs and on the basis of needs assessments. Still, reliable epidemiological data from conflict-affected communities are difficult to acquire in time for effective decisions, as existing health information systems progressively lose functionality with the onset of conflicts. In the last decade, health and nutrition humanitarian agencies have made substantial progress in collecting quality data using small-scale surveys. In 2002, a group of academics, non-governmental organizations, and UN agencies launched the Standardized Monitoring and Assessment of Relief and Transitions (SMART) methodology. Since then, field agencies have conducted thousands of surveys. Although the contribution of each survey by itself is limited by its small sample and the impossibility to extrapolate results to national level, their aggregation can provide a more stable view of both trends and distributions in a larger region. The Complex Emergency Database (CEDAT) was set up in order to make best use of the collective force of these surveys. Functioning as a central repository, it can provide valuable information on trends and patterns of mortality and nutrition indicators from conflict-affected communities. Given their high spatial resolution and their high frequency, CEDAT data can complement official statistics in between nationwide surveys. They also provide information of the displacement status of the measured population, pointing out vulnerabilities. CEDAT is hosted at the Centre for Research on the Epidemiology of Disasters, University of Louvain. It runs on voluntary agreements between the survey implementer and the CEDAT team. To date, it contains 3309 surveys from 51 countries, and is a unique repository of such data

Demographic data from conflict-affected regions of the Congo Basin: potential from the AfriPop and CEDAT databases

The Democratic Republic of the Congo (DRC) is a country where demographic and health information is scarce, particularly in areas with chronic insecurity. These are however the areas where population needs are highest. Here, two freely available databases were combined in order to estimate the number of children under 5 affected by acute malnutrition in DRC. Geostatistical methods were used to produce a predicted malnutrition map based on small-scale surveys conducted by humanitarian agencies and estimates of children at risk were derived from high resolution population maps. Results showed that 41% of children are in serious or critical nutrition situation in DRC. This paper showed that combined analyses of different sources of data can provide key insights on populations on whom information is scarce.info:eu-repo/semantics/nonPublishe