This is a community of researchers who are interested in supporting the generation of more and better evidence to drive improvements in health across the globe. Clinical research needs evidence-led improved methods. You can read more about the site here.
PAHO and the Council for International Organizations of Medical Sciences (CIOMS) have published the 2016 revision of the Guidelines in Spanish. The guidelines were developed by CIOMS, which was founded under the auspices from WHO and UNESCO. These guidelines constitute ... Read more
Field trials of interventions against disease in low and middle income countries (LMICs) may be complex and expensive undertakings. The 3rd edition of “Field Trials of Health Interventions: a Toolbox” has been compiled by over 30 contributors with extensive direct ... Read more
In response to the recent news about the Zika virus, we draw your attention to the International INTERGROWTH-21st Standards for Head Circumference of newborns. Read more
The Global Health Network is pleased to announce the launch of a new seven-module eLearning course which has been adapted from the WHO training manual and resources on: ‘Ethics in epidemics, emergencies and disasters: Research, surveillance and patient care’. Read more
The European & Developing Countries Clinical Trials Partnership (EDCTP) supports collaborative research that accelerates the clinical development of new or improved medical interventions (drugs, vaccines, microbicides and diagnostics) to prevent or treat HIV, tuberculosis (TB), malaria and neglected infectious diseases in sub-Saharan Africa.
Under this background, the EDCTP partnered with The Global Health Network to develop a 'Knowledge Hub', which aims to facilitate and provide guidance on several topics related to clinical trials such as open access data sharing, data management, clinical trials protocols.
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Mixed-methods approaches are gaining momentum in health research, and it is generally agreed that this is a positive development. In response to the challenges associated with integrating qualitative and quantitative data, The Global Health Network set up a group dedicated to supporting mixed-methods researchers. Please feel free to add your comments and join in discussions.
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Epidemiological Study of Randomized Trials (ESORT) is led by a collaborative team of researchers at the Centre for Statistics in Medicine and the George Institute for Global Health, both at the University of Oxford. ESORT have kindly offered to share details of their study with The Global Health Network.
Go to pageHi everyone, this new group is a place for new members to introduce themselves in the community. Please post to introduce yourself and let others ...
Social scientists at the KEMRI-Wellcome Trust research programme in Kenya meet every year or so to share ideas, learning and careers. Our 10th meeting was ...
Postdoctoral Researcher - Bioethics and Social Science Grade 7: £32,236 - £39,609 p.a. This is an exciting new position within the Bioethics and Engagement department ...
The London School of Hygeine and Tropical Medicine have opened applications for the shortcourse: Epidemiological evaluation of vaccines: efficacy, safety and policy Course dates: 1-12 July 2019 The Epidemiology of ...
Background Depression is the leading cause of disability worldwide, and is a major contributor to the overall global burden of disease. The number of prescriptions for antidepressants has risen ...
Background Self-management support is widely accepted for the management of chronic conditions. Self-management often requires behaviour change in patients, in which primary care nurses play a pivotal role. To ...
A qualitative study looking at the barriers to wearing footwear in Ethiopia that is very relevant to a podoconiosis trial that the Global Health Network is involved in. To read ...
This peer reviewed course outlines ethical aspects of sharing individual level research data and proposed best practices. It aims to be of value to those designing and reviewing individual research protocols where data sharing is anticipated, and to those developing institutional policies and processes for governing data sharing.
