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Spatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of COVID-19 in Dominican Republic.
Trop Med Int Health
March 2025
UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Background: To demonstrate the application and utility of geostatistical modelling to provide comprehensive high-resolution understanding of the population's protective immunity during a pandemic and identify pockets with sub-optimal protection.
Methods: Using data from a national cross-sectional household survey of 6620 individuals in the Dominican Republic (DR) from June to October 2021, we developed and applied geostatistical regression models to estimate and predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike (anti-S) antibodies (Ab) seroprevalence at high resolution (1 km) across heterogeneous areas.
Results: Spatial patterns in population immunity to SARS-CoV-2 varied across the DR.
Exploration of crucial stromal risk genes associated with prognostic significance and chemotherapeutic opportunities in invasive ductal breast carcinoma.
J Genet Eng Biotechnol
March 2025
State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, China; Department of Hepatobiliary and Echinococcosis Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China. Electronic address:
Background: Few studies revealed that stromal genes regulate the tumor microenvironment (TME). However, identification of key-risk genes in the invasive ductal breast carcinoma-associated stroma (IDBCS) and their associations with the prediction of risk group remains lacking.
Methods: This study used the GSE9014, GSE10797, GSE8977, GSE33692, and TGGA BRCA datasets.
Work engagement among new nurses in China: a latent profile analysis.
BMJ Open
March 2025
Zhejiang Province First People's Hospital of Wuyi County, Wuyi, Zhejiang, China.
Objective: To identify different work engagement profiles among new nurses in China and explore demographic and personal factors that predict different work engagement profiles.
Design: A cross-sectional study.
Methods: From 1 April to 30 June 2022, a cross-sectional survey was conducted in 11 tertiary hospitals across five provinces in China.
Identification of distinct clinical profiles of sepsis risk in paediatric emergency department patients using Bayesian profile regression.
BMJ Paediatr Open
March 2025
Children's Intensive Care Research Program, Child Health Research Centre, The University of Queensland, South Brisbane, Queensland, Australia.
Background: Sepsis affects 25 million children and neonates annually, causing significant mortality and morbidity. Early identification and treatment are crucial for improving outcomes. Identifying children at risk is challenging due to clinical heterogeneity and overlap with other conditions.
View Article and Find Full Text PDFDiscovery and identification of semaphorin 4D as a bioindicator of high fracture incidence in type 2 diabetic mice with glucose control.
J Adv Res
March 2025
Department of Orthopaedics, Second Affiliated Hospital of Air Force Military Medical University, Xi'an 710038 Shaanxi, China. Electronic address:
Introduction: Bone fracture is increasing in patients with type 2 diabetes mellitus (T2DM) due to skeletal fragility. Most antidiabetics are expected to reduce the incidence of fracture in patients with T2DM, however the results are disappointing. Metformin and GLP-1 receptor agonists have a neutral or minor positive effect in reducing fractures.
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