This helpful presentation is the result of a workshop held in Durban by The Global Health Bioethics Network (course facilitators: Maureen Kelley, Patricia Kingori, Dorcas Kamuya, Mike Parker).
In this article, the authors present an empirical example of triangulation in qualitative health research. The authors collected qualitative data within a parallel–case study design using key informant interviews as well as document analysis, and develop, implement, and reflect on a triangulation protocol..
Conducting good, ethical global health research is now more important than ever. Increased global mobility and connectivity mean that in today’s world there is no such thing as ‘local health’. As a collection, these stories offer a flexible resource for training across a variety of contexts, such as medical research organizations, universities, collaborative sites, and NGOs.
Abstract We investigated an outbreak of exanthematous illness in Maceió by using molecular surveillance; 76% of samples tested positive for chikungunya virus. Genetic analysis of 23 newly generated genomes identified the East/Central/South African genotype, suggesting that this lineage has persisted since mid-2014 in Brazil and may spread in the Americas and beyond.
Useful videos about conducting focus groups for qualitative research
Useful YouTube videos about conducting qualitative research interviews
The Nigerian Regional Faculty ran a workshop about Biostatistics on May 20th-21st, 2017. The workshop was well attended with 61 participants, and covered a useful range of topics. You can download the presentations from the day here.
Abstract Background Chikungunya fever is a globally spreading mosquito-borne disease that shows an unexpected neu- rovirulence. Even though the neurological complications have been a major cause of intensive care unit admission and death, to date, there is no systematic analysis of their spectrum available. Objective To review evidence of neurological manifesta- tions in Chikungunya fever and map their epidemiology, clinical spectrum, pathomechanisms, diagnostics, therapies and outcomes. Methods Case report and systematic review of the litera- ture followed established guidelines. All cases found were assessed using a 5-step clinical diagnostic algorithm assigning categories A–C, category A representing the highest level of quality. Only A and B cases were con- sidered for further analysis. After general analysis, cases were clustered according to geospatial criteria for subgroup analysis. Results Thirty-six of 1196 studies were included, yielding 130 cases. Nine were ranked as category A (diagnosis of Neuro-Chikungunya probable), 55 as B (plausible), and 51 as C (disputable). In 15 cases, alternative diagnoses were more likely. Patient age distribution was bimodal with a mean of 49 years and a second peak in infants. Fifty per- cent of the cases occurred in patients <45 years with no reported comorbidity. Frequent diagnoses were encephali- tis, optic neuropathy, neuroretinitis, and Guillain–Barre ́ syndrome. Neurologic conditions showing characteristics of a direct viral pathomechanism showed a peak in infants and a second one in elder patients, and complications and neurologic sequelae were more frequent in these groups. Autoimmune-mediated conditions appeared mainly in patients over 20 years and tended to show longer latencies and better outcomes. Geospatial subgrouping of case reports from either India or Re ́union revealed diverging phenotypic trends (Re ́union: 88% direct viral vs. India: 81% autoimmune). ConclusionsDirect viral forms of Neuro-Chikungunya seem to occur particularly in infants and elderly patients, while autoimmune forms have to be also considered in middle-aged, previously healthy patients, especially after an asymptomatic interval. This knowledge will help to identify future Neuro-Chikungunya cases and to improve outcome especially in autoimmune-mediated conditions. The genetics of Chikungunya virus might play a key role in determining the course of neuropathogenesis. With further research, this could prove diagnostically significant.
Do you have research ideas for using big data to fill gender data gaps? Announcing the Big Data for Gender Challenge! Research proposals are due on July 7, 2017
Invitation to complete quick survey to improve Kaplan-Meier plots (KMunicate) ProblemThe standard way to present time-to-event data, such as survival, is with Kaplan-Meier plots. These are formatted by journals and reported in a number of ways, but we find they commonly lack some key information. The key problems are:
- Expressing how many people are contributing data at any point in the graph, including the pattern of censoring
- Expressing that the uncertainty of the estimate increases over time
In this video, Dr Greg Martin provides a brief overview of what health systems are and how it is that the building blocks of health systems fit together.
Sarah Drew shares her research diary about conducting ethnographic fieldwork in Malawi as part of a Clubfoot study.
This short film shows the impact of the CHAPAS trial on patient health and future possibilities of a small boy from Malawi.
This is a great video of a talk given at the Oxford Martin School by Professor Kevin Marsh.
Global health and public health practitioners use Health Economics to better understand the decisions that get made that affect health.
Dr Greg Martin talks about how to get the perfect job in Global Health and Public Health
Cochrane’s 2016 Citation Screening Challenge: Turning a lonely task into the most fun you can have in evidence based healthcareby Anna, Emily, Gordon and the rest of the Cochrane Crowd team
Cochrane Crowd, Cochrane’s new citizen science platform, recently ran a successful 48 hour citation screening challenge to reach the goal of 1 million research citations screened. The Cochrane Crowd team have provided this overview of the event.
The Epidemiological evauation of vaccines course: efficacy, safety and policy
Epidemic curves are an important component of the public health and global health toolbox. Learn more about creating and interpretting them.
Become a Cochrane citizen scientist. Anyone can join their collaborative volunteer effort.