Post traumatic stress, HIV and malaria: contemporary issues explored in depth.
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,004 | 0,007 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».