Post traumatic stress, HIV and malaria: contemporary issues explored in depth.
Bibliographic record
Abstract
Today is the 3rd anniversary of African Health Sciences having been launched in August 2001. In three years AHS has grown from strength to strength reaching a climax in April 2003 when it was indexed by MEDLINE - a clear note of confidence in AHS by a reputable indexing organization. African Health Sciences has firmly established herself as a leading health sciences journal in Africa and beyond. This would have not been possible without the unwavering support of Professor Nelson Sewankambo the Dean of Makerere University Faculty of Medicine, our editorial staff, the board, international advisers, authors, reviewers, readers and well wishers. To all of you we extend our most heartfelt thanks for your continued support. In this 3rd anniversary issue of African Health Sciences we bring you a moving article on traumatic events and symptoms of post-traumatic stress disorder amongst Sudanese refugees - a study by Dutch, German and US based researchers. They compared the incidence of traumatic events and its association with post-traumatic stress disorder in Sudanese nationals in Southern Sudan refugees and Ugandans in the West Nile region. Sudanese refugees reported the highest number of violence events experienced. Witnessing traumatic events significantly predicted PTSD. The prevalence of PTSD was 48% for Sudanese stayees, 46% for Sudanese refugees and 18% for Ugandan nationals. The high prevalence of violence and symptoms of PTSD in refugee populations highlight the need for better protection and security in refugees settlements. These findings are pertinent especially when the Sudan has come under international scrutiny because of the humanitarian catastrophic events unfolding in the Darfur region. Our second paper continues on HIV/AIDS. This time we focus our attention on the possibility of using simple total lymphocyte counts instead of the more expensive CD4+lymphocyte counts2. Academic Alliance for AIDS Care and Prevention in Africa scientists based in Uganda and the USA report on their surprise finding that total lymphocyte count of 1200 is not a sensitive predictor of CD4 lymphocyte count among patients with HIV disease in Kampala, Uganda. Unfortunately the cut off point of 1200 lymphocytes did not identify the majority of WHO stage 2 and 3 with CD4 counts less than 200 cells/mm3. They recommend that a more rational use of TLC is to treat all patients with WHO stage 2 and 3 who have a TLC 1200. In keeping with our HIV/AIDS theme we bring you an interesting article on language and sexuality among youth in an urban township in South Africa3. Terry Selikow pursuing PhD studies in the University of Alberta, Edmonton in Canada found that the use of language influences youth sexuality. The youth have developed a specialized language to talk about sex and this language has become part of the daily discourse so that unsafe sexual practices become norms and justified. Tanzanian and Norwegian workers report results of an interesting collaboration between the national TB programme and non government organizations in the care of TB/HIV patients at district level4. From Zimbabwe, US and Zimbabwean researchers report on the predictors of urinary schistomiasis morbidity in a country where up to 60% of children in the country had S.haematobium”5 Ugandan and US researchers report on health seeking behaviour for malaria among child and adult headed households in Rakai district where HIV/AIDS children live in child-headed households. Respondents in child-headed households had less knowledge on signs and symptoms of malaria and were less likely to seek care from health facilities6. I hope that you enjoy reading this 3rd anniversary issue of African Health Sciences the MEDLINE indexed journal that brings you up to date well-researched papers from Africa. James K. Tumwine Editor
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".