142 Works

Additional file 1 of Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda

Danielle J. Roberts & Temesgen Zewotir
Additional file 1.

Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda

Danielle J. Roberts & Temesgen Zewotir
Abstract Background Malaria and anaemia contribute substantially to child morbidity and mortality. In this study, we sought to jointly model the residual spatial variation in the likelihood of these two correlated diseases, while controlling for individual-level, household-level and environmental characteristics. Methods A child-level shared component model was utilised to partition shared and disease-specific district-level spatial effects. Results The results indicated that the spatial variation in the likelihood of malaria was more prominent compared to that...

Linking migration and microbiota at a major stopover site in a long-distance avian migrant

Nikki Thie, Ammon Corl, Sondra Turjeman, Ron Efrat, Pauline L. Kamath, Wayne M. Getz, Rauri C. K. Bowie & Ran Nathan
Abstract Migration is one of the most physical and energetically demanding periods in an individual bird’s life. The composition of the bird’s gut or cloacal microbiota can temporarily change during migration, likely due to differences in diets, habitats and other environmental conditions experienced en route. However, how physiological condition, migratory patterns, and other drivers interact to affect microbiota composition of migratory birds is still unclear. We sampled the cloacal bacterial microbiota of a long-distance migrant,...

Vecchia-Approximated Deep Gaussian Processes for Computer Experiments

Annie Sauer, Andrew Cooper & Robert B. Gramacy
Deep Gaussian processes (DGPs) upgrade ordinary GPs through functional composition, in which intermediate GP layers warp the original inputs, providing flexibility to model nonstationary dynamics. Two DGP regimes have emerged in recent literature. A “big data” regime, prevalent in machine learning, favors approximate, optimization-based inference for fast, high-fidelity prediction. A “small data” regime, preferred for computer surrogate modeling, deploys posterior integration for enhanced uncertainty quantification (UQ). We aim to bridge this gap by expanding the...

Cost-effectiveness of single-inhaler triple therapy for patients with severe COPD: a systematic literature review

Rezwanul Hasan Rana, Khorshed Alam, Syed Afroz Keramat & Jeff Gow
Evidence from non-randomized studies shows benefits for single-inhaler users compared with multiple-inhaler users who receive the same medication. As a result, comparative cost-effectiveness studies are required to inform treatment decisions with an increasing choice of medications and devices for chronic obstructive pulmonary disease (COPD). This study conducted a systematic literature review to evaluate the cost-effectiveness of using a single combination inhaler regimen for patients with severe COPD. This review also investigated the health impact on...

Additional file 3 of Genotyping and biofilm formation of Mycoplasma hyopneumoniae and their association with virulence

Yuzi Wu, Yanfei Yu, Lizhong Hua, Yanna Wei, Yuan Gan, Hafizah Yousuf Chenia, Yixuan Wang, Xing Xie, Jia Wang, Maojun Liu, Guoqing Shao, Qiyan Xiong & Zhixin Feng
Additional file 3. Correction of virulence and results of the in vitro tracheal infection.

Additional file 1 of Prognostic markers in patients with chronic lymphocytic leukaemia on targeted therapy, chemoimmunotherapy with anti-CD20 monoclonal antibody: a systematic review and meta-analysis of prognostic factors

Zekhethelo A. Mkhwanazi, Tawanda M. Nyambuya, Snenhlanhla A. Mfusi & Bongani B. Nkambule
Additional file 1: Supplementary Table 1. Search strategy.

Additional file 3 of An analysis of past and future heatwaves based on a heat-associated mortality threshold: towards a heat health warning system

Thandi Kapwata, Michael T. Gebreslasie & Caradee Y. Wright
Additional file 3. Heatwave characteristics for period 2020 – 2039 using data simulated from RCP 4.5 projections.

Modelling dominant height growth including a rainfall effect using the algebraic difference approach

Morries Chauke, Henry Mwambi & Heyns Kotze
ABSTRACT Background: Estimating forest productivity is critical for effective management and site assessment. The dominant height is used to calculate the Site Index (SI), which is commonly used to assess forest productivity. In this study, an algebraic difference approach was used to develop a dominant height model incorporating the rainfall effect for Eucalyptus grandis x Eucalyptus urophylla ( E. Grandis x E. Urophylla). The dataset consists of 75 permanent sample plots ranging in age from...

Additional file 1 of Bioprospecting of endophytic actinobacterium associated with Aloe ferox mill for antibacterial activity

Tsolanku Sidney Maliehe, Melusi Mbambo, Londeka Sibusisiwe Ngidi, Jabulani Siyabonga Emmanuel Shandu, Ofentse Jacob Pooe, Peter Masoko & Tlou Nelson Selepe
Additional file 1: Table S1. Chemical constituents of the extracted secondary metabolites identified by GC-MS.

CTPS1 suppresses proliferation and migration in colorectal cancer cells

Fahong Wu, Yudong Mao, Tao Ma, Xiaoli Wang, Hangzhi Wei, Tianwei Wang, Jia Wang & Youcheng Zhang
Colorectal cancer (CRC) is now the third most prevalent tumor and one of the deadliest cancers worldwide, with an increasing prevalence every year. Therefore, we urgently need to understand the mechanisms regulating the progression of colorectal cancer and find potential diagnostic biomarkers. In this study, we performed an analysis using the TCGA and GEO databases to find a molecular biomarker for the diagnosis of CRC, namely CTPS1. The results of this analysis revealed that CTPS1...

Dietary patterns and childhood stunting in Zimbabwe

Anesu Marume, Moherndran Archary & Saajida Mahomed
Abstract Background Diet is one important predictor of children’s growth, and often dietary interventions can assist with reversing adverse nutrition outcomes. Traditionally research has focused on individual food items or food classes to generate an understanding of disease risk. Dietary patterns provide a holistic approach to understanding the relationship between exposure and outcome. Method A matched case-control study was conducted. Caregivers of 450 children (225 cases, 225 controls) aged 6–59 months were asked to describe...

Additional file 1 of Patient journey and resources mapping to implement a praziquantel mass drug administration program for children aged 5 years and below in resource-limited settings

Mhlengi Vella Ncube, Muhubiri Kabuyaya & Moses John Chimbari
Additional file 1. Preferred Reporting Itemsfor Systematic reviews and Meta-Analyses extension for Scoping Reviews(PRISMA-ScR) Checklist.

Patient journey and resources mapping to implement a praziquantel mass drug administration program for children aged 5 years and below in resource-limited settings

Mhlengi Vella Ncube, Muhubiri Kabuyaya & Moses John Chimbari
Abstract Background The early childhood development of millions of children in some low- and medium-income countries may be compromised by schistosomiasis infections contracted at the age of 5 years and below. Currently, there are no standard guidelines for treating schistosomiasis in children that are 5 years and younger using praziquantel (PZQ), the only drug that the World Health Organization (WHO) recommends for treating schistosomiasis. The review is on processes and resources involved in the treatment...

Additional file 1 of Association between water, sanitation and hygiene (WASH) and child undernutrition in Ethiopia: a hierarchical approach

Biniyam Sahiledengle, Pammla Petrucka, Abera Kumie, Lillian Mwanri, Girma Beressa, Daniel Atlaw, Yohannes Tekalegn, Demisu Zenbaba, Fikreab Desta & Kingsley Emwinyore Agho
Supplementary Material 1

Shared component modelling of early childhood anaemia and malaria in Kenya, Malawi, Tanzania and Uganda

Danielle J. Roberts & Temesgen Zewotir
Abstract Background Malaria and anaemia contribute substantially to child morbidity and mortality. In this study, we sought to jointly model the residual spatial variation in the likelihood of these two correlated diseases, while controlling for individual-level, household-level and environmental characteristics. Methods A child-level shared component model was utilised to partition shared and disease-specific district-level spatial effects. Results The results indicated that the spatial variation in the likelihood of malaria was more prominent compared to that...

Additional file 1 of Dietary patterns and childhood stunting in Zimbabwe

Anesu Marume, Moherndran Archary & Saajida Mahomed
Supplementary Material 1

Additional file 1 of Dietary patterns and childhood stunting in Zimbabwe

Anesu Marume, Moherndran Archary & Saajida Mahomed
Supplementary Material 1

The incidence of TB and MDR-TB in pediatrics and therapeutic options: a systematic review

Sheetal Harichander, Ebenezer Wiafe, Kofi Boamah Mensah, Varsha Bangalee & Frasia Oosthuizen
Abstract Background Tuberculosis (TB) is considered one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent. Multidrug-resistant (MDR) TB can affect people of all age groups, including children (aged 0–15 years). However, very little is known about the extent of this problem in children. This systematic review aims to investigate the incidence of TB and drug-resistant (DR) TB among the pediatric population. It also reviews...

The incidence of TB and MDR-TB in pediatrics and therapeutic options: a systematic review

Sheetal Harichander, Ebenezer Wiafe, Kofi Boamah Mensah, Varsha Bangalee & Frasia Oosthuizen
Abstract Background Tuberculosis (TB) is considered one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent. Multidrug-resistant (MDR) TB can affect people of all age groups, including children (aged 0–15 years). However, very little is known about the extent of this problem in children. This systematic review aims to investigate the incidence of TB and drug-resistant (DR) TB among the pediatric population. It also reviews...

Additional file 2 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 2. Amendments to the pre-registered protocol.

Vecchia-Approximated Deep Gaussian Processes for Computer Experiments

Annie Sauer, Andrew Cooper & Robert B. Gramacy
Deep Gaussian processes (DGPs) upgrade ordinary GPs through functional composition, in which intermediate GP layers warp the original inputs, providing flexibility to model nonstationary dynamics. Two DGP regimes have emerged in recent literature. A “big data” regime, prevalent in machine learning, favors approximate, optimization-based inference for fast, high-fidelity prediction. A “small data” regime, preferred for computer surrogate modeling, deploys posterior integration for enhanced uncertainty quantification (UQ). We aim to bridge this gap by expanding the...

Vecchia-approximated Deep Gaussian Processes for Computer Experiments

Annie Sauer, Andrew Cooper & Robert B. Gramacy
Deep Gaussian processes (DGPs) upgrade ordinary GPs through functional composition, in which intermediate GP layers warp the original inputs, providing flexibility to model non-stationary dynamics. Two DGP regimes have emerged in recent literature. A “big data” regime, prevalent in machine learning, favors approximate, optimization-based inference for fast, high-fidelity prediction. A “small data” regime, preferred for computer surrogate modeling, deploys posterior integration for enhanced uncertainty quantification (UQ). We aim to bridge this gap by expanding the...

Additional file 3 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 3. Code and data. IPD from co-authors who agreed to share it, results of all analyses presented in the paper, and R code files necessary to reproduce the analysis and figures.

Additional file 5 of Changes in concentrations of cervicovaginal immune mediators across the menstrual cycle: a systematic review and meta-analysis of individual patient data

Sean M. Hughes, Claire N. Levy, Ronit Katz, Erica M. Lokken, Melis N. Anahtar, Melissa Barousse Hall, Frideborg Bradley, Philip E. Castle, Valerie Cortez, Gustavo F. Doncel, Raina Fichorova, Paul L. Fidel, Keith R. Fowke, Suzanna C. Francis, Mimi Ghosh, Loris Y. Hwang, Mariel Jais, Vicky Jespers, Vineet Joag, Rupert Kaul, Jordan Kyongo, Timothy Lahey, Huiying Li, Julia Makinde, Lyle R. McKinnon … & Florian Hladik
Additional file 5: Figure S1. Assessment of publication bias. A Funnel plots. Symbols show the effect of the menstrual cycle (x-axis) and the standard error of that effect (y-axis, reversed). Each symbol shows an individual study. Vertical solid line shows no effect. Vertical dashed line shows the meta-estimate of effect. Diagonal dashed lines enclose the region expected to include 95% of studies based on the estimated meta-effect and the standard errors. B Results of Egger’s...

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  • University of KwaZulu-Natal
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