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.
Read the report by the African Academy of Sciences, UK Collaborative on Development Research and The Global Health Network Read more
Global Vector Hub, our latest addition to the Network launches with an online workshop: The impact of COVID-19 on global vector control efforts Read more
Responding effectively to outbreaks of infectious diseases saves lives. Sharing knowledge, learning, and experience of outbreak response across geographies, diseases, and between researchers and policy makers is essential. Without collaboration, outbreaks risk spreading in size and scale. Read more
Based on the Nuffield Council on Bioethics report, this new course explores core ethical issues that arise during research in global health emergencies, and highlights how they sometimes go beyond those covered in traditional research frameworks. Read more
New pop-up Coronavirus Knowledge Hub, a single-access portal to information with a focus on addressing the unknowns during the coronavirus outbreak, launches on The Global Health Network. Read more
With interest in the use of alternative trial designs and methods (e.g. cluster randomized trials, stepped-wedge cluster randomized trials, and controlled human infection models) it is important to explore ethical issues that may arise in both high and low resource ... Read more
This exciting conference showcased the latest in trials methodology research and offered plenty of valuable opportunities for networking. Abstracts now freely available Read more
New free e-learning course on participatory visual methods that includes a wealth of practical tips and examples that you can implement in your health and research engagement activities. Compiled by Gill Black (Sustainable Livelihoods Foundation) and Mary Chambers (Oxford University ... Read more
The TMRP aims to support researchers and trialists to improve trials in many ways. From funding projects, organising conferences and training, and developing guidance. Regular webinars are held which are often available as recordings after the event Read more
The Chinese Evidence-based Medicine Center, Cochrane China &Tianjin University of Traditional Chinese Medicine (TUTCM) jointly established the Chinese Research Center for Clinical Trial Core Outcome Sets (ChiCOS) to promote core outcome sets (COS) and provide methodological support to COS developers ... Read more
The MRC-NIHR Trials Methodology Research Partnership, awarded funding by the MRC-NIHR Methodology Research Programme, will begin in June 2019, bringing together a number of networks (including the Global Health Network), institutions and partners working in trials and trials methodology research Read more
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
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 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 pageBienvenidos a REDE. Esperamos poder trabajar juntos en crear una red integrada que unira a la comunidad cientifica y ayudara a mejorar las capacidades para ...
The FDA is seeking comments on its requirements for submitting registration and summary results information, including adverse event information, for specified clinical trials of drugs ...
Do you have a guide or tool that you have found useful in your virtual engagement work? Would you like to share outputs from a ...
Today a report was released that calls for the use of research evidence on the optimal implementation of public health interventions for COVID-19 in varied global settings. In the ...
A short film by the Drugs for Neglected Diseases initiative (DNDi) telling the story of doctors in the Democratic Republic of Congo and their role in developing ...
The aim of this survey is to seek the opinion of researchers globally as to the top priorities for COVID-19 research in their country and region. Several major international research funding organisations ...
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.
