We aim to explore the impact of the COVID-19 pandemic on psychological stress and well-being of primary healthcare workers (HCWs) in Malaysia.
covid-19 psychological malaysia primary care
Exploring the provision of supportive care for patients with severe, potentially life-threatening COPD in Malaysia: a qualitative study of gaps, barriers, facilitators and solutions from the perspecti ...
The COVID-19 ontology covers the role of molecular and cellular entities in virus-host-interactions, in the virus life cycle, as well as a wide spectrum of medical and epidemiological concepts linked ...
The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the ...
Patient and public involvement (PPI) in research has gained increasing acceptance worldwide and is a requirement for many research funding and publication agencies. However, the concept of PPI is stil ...
This synthetic dataset is based on anonymised real primary care patient data extracted from the CPRD Aurum database. The dataset focuses on patients presenting to primary care with symptoms indicative ...
The COVID-19 Data Portal enables researchers to upload, access and analyse COVID-19 related reference data and specialist datasets. The aim of the COVID-19 Data Portal is to facilitate data sharing an ...
We used a qualitative method to explore the views of stakeholders on asthma and school-based intervention of asthma in Malaysia.
The COVID-19 Data Index collects and indexes COVID-19 datasets from major data repositories, publications, and individual online sources. Diverse types of datasets, including clinical, epidemiological ...
This project will explore the perceptions and feelings of Frontline Health Care Workers (including doctors, nurses and community health workers) in Cox’s Bazar, about personal preparation and protect ...
Data forming the COVID-19 SARI-Watch data set (formerly CHESS) relate to demographic, risk factor, treatment, & outcome information for patients admitted to hospital with a confirmed COVID-19 diagnosi ...
This COVID-19 Ontology is a data model for publishing COVID-19 data on the Web as a Knowledge Graph. The primary focuses of the model are (1) COVID-19 cases: the data for COVID-19 cases (e.g., act ...
Covid 19 Test Results
The aim of the study is to assess the feasibility of using the eDPSEEA (ecosystems-enriched Drivers, Pressures, State, Exposure, Effects, Actions) model in Air Quality RESPIRE projects.
The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced vario ...
The COVID-19 Infectious Disease Ontology (IDO-COVID-19) is an extension of the Infectious Disease Ontology (IDO) and the Virus Infectious Disease Ontology (VIDO). IDO Virus follows OBO Foundry guideli ...
The National COVID-19 Chest Imaging Database is a joint collaboration between NHSX, BSTI and Royal Surrey NHS Foundation Trust to create a centralised UK database of X-Ray, CT and MRI images from hosp ...
Patients hospitalised with community acquired pneumonia (CAP) before and during COVID-19 pandemic. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiol ...
Details of completed (processed) COVID-19 vaccinations
The COVID-19 Surveillance Ontology is an application ontology used to support SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) surveillance in primary care. The ontology facilitates monit ...
A deeply phenotyped dataset of hospitalised COVID-19 patients in Birmingham; including granular ethnicity and multi-morbidity data confirmed in primary care; physiology, blood biomarkers, treatments, ...