Displaying publications 1 - 20 of 405 in total

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  1. Some personal experiences in the South African war
    Ritchie J
    Journal of the Malaya Branch of the British Medical Association, 1904.
    Matched MeSH terms: South Africa
  2. African care for congenital central nervous system disorders: Falling far short of global management standards?
    Wireko AA, Ohenewaa Tenkorang P, Fosuah Debrah A, Akin-Olugbemi T, Yarlagadda R, Mehta A, et al.
    Int J Surg, 2023 Mar 01;109(3):534-535.
    PMID: 36928287 DOI: 10.1097/JS9.0000000000000011
    Matched MeSH terms: Africa
  3. West African fevers
    Ritchie J
    Journal of the Malaya Branch of the British Medical Association, 1903.
    Matched MeSH terms: Africa, Western
  4. Fulltext Spatial correlation network characteristics of embodied carbon transfer in global agricultural trade
    Wang G, Guo Q, Zhou X, Zhang F
    Environ Sci Pollut Res Int, 2023 Jan;30(1):2315-2328.
    PMID: 35930151 DOI: 10.1007/s11356-022-22337-w
    Agricultural carbon emission is an important cause of climate change, and the carbon transfer caused by agricultural trade is a key area related to carbon emissions of all countries. Based on the Eora database, this paper aims to constructs a multi-region input-output database of 185 countries or regions, analyzes a spatial correlation network of embodied net carbon transfer in global agricultural trade by using UCINET, selects multi-dimensional network measurement indicators, and comprehensively studies the global evolution characteristics and functional features of network plate role of embodied carbon transfer in the global agricultural trade. The result shows that the embodied net carbon transfer network of global agricultural trade is densely connected, the spatial correlation spillover effect is significant, and the edge of the network core structure is clear. On the one hand, the top four countries or regions in terms of embodied carbon outflow in agricultural trade are the USA, Australia, Vietnam, and China. On the other hand, the top four countries or regions of embodied carbon inflow are Malaysia, Central Africa, Singapore, and Serbia. From the perspective of outdegree, indegree, proximity centrality, and intermediary centrality, Cambodia, the Netherlands, Vietnam, Ghana, and South Africa, with the high frequency of the shortest path of the globally embodied net carbon transfer network, have a strong influence and linking facility in spatial correlation and have a strong control ability to the spatial correlation of other countries or regions. The embodied carbon emission network of global agricultural trade can be divided into four sectors: main spillover, two-way spillover, broker, and main benefit. The main spillover segment, constituted by the USA, India, Germany, and China, has significant embodied carbon spillover effects on the internal segment and other segments. It is the main embodied carbon spillover sector of embodied net carbon transfer of global agricultural trade. Countries should reasonably allocate the responsibility of carbon reduction according to the trading embodied carbon transfer and made efforts to optimize the export structure of agricultural products.
    Matched MeSH terms: South Africa
  5. In Reply: The State of Cerebrovascular Care in Africa
    Awuah WA, Tenkorang PO, Ng JC, Abdul-Rahman T
    Neurosurgery, 2023 Jul 01;93(1):e16.
    PMID: 37097024 DOI: 10.1227/neu.0000000000002515
    Matched MeSH terms: Africa/epidemiology
  6. Fulltext Addressing Africa's outrageous neurosurgeons deficit: what could the problem be?
    Wireko AA, Tenkorang PO, Ng JC, David L, Yarlagadda R, Abdul-Rahman T, et al.
    Int J Surg, 2023 Jun 01;109(6):1808-1809.
    PMID: 36927817 DOI: 10.1097/JS9.0000000000000048
    Matched MeSH terms: Africa/epidemiology
  7. Fulltext Postoperative mortality in Africa: are there any improvements in the last decade?
    Awuah WA, Ng JC, Nazir A, Tenkorang PO, Yarlagadda R, Kalmanovich J, et al.
    Int J Surg, 2023 May 01;109(5):1080-1082.
    PMID: 36927691 DOI: 10.1097/JS9.0000000000000125
    Matched MeSH terms: Africa/epidemiology
  8. Feasibility of local condom production examined
    AIDS Anal Afr, 1999 Jun-Jul;10(1):13.
    PMID: 12295121
    Matched MeSH terms: Africa; Africa, Eastern; Africa, Northern; Africa, Southern; Africa, Western; South Africa; Africa South of the Sahara
  9. Fulltext Human papillomavirus genotypes and clinical management of genital warts in women attending a colposcopy clinic in Cape Town, South Africa
    Tayib S, Allan B, Williamson AL, Denny L
    S. Afr. Med. J., 2015 Aug;105(8):679-84.
    PMID: 26449694
    BACKGROUND: Genital human papillomavirus (HPV) infection is the most common sexually transmitted viral disease in the world. HPV infection of the genital epithelium is associated with genital warts and malignancies of the lower genital tract.
    OBJECTIVES: To describe the distribution, phenotypic appearance and HPV type associated with genital warts in women.
    METHODS: This was a prospective observational study of all women with genital warts who attended the Colposcopy Clinic, Groote Schuur Hospital, Cape Town, South Africa, during 2010 and fulfilled the inclusion and exclusion criteria. One hundred and thirteen women were tested for HPV using the Roche Linear Array HPV genotyping kit to determine the HPV genotypes causing genital warts.
    RESULTS: The median age of the women was 27 years (range 15 - 53); 90 (79.6%) were HIV-positive, and two-thirds were on antiretroviral treatment. Treatment involved ablation with topical agents, cauterisation or carbon dioxide laser. At 3 months' follow-up after treatment, 56.6% of the women, the majority of whom were HIV-positive, had recurrent/persistent disease. In both HIV-positive and HIV-negative women, HPV was detected in over 90% of cases. However, over half the HIV-positive women as opposed to 2/18 of the HIV-negative women were infected with multiple HPV genotypes. The commonest HPV genotypes in HIV-positive and HIV-negative women were types 11, 6, 89, 61, 55 and 62 and types 11 and 6, respectively.
    CONCLUSIONS: The majority of the patients were HIV-positive and had multiple HPV infections. While this did not alter the phenotypic appearance of the warts, recurrence/persistence after treatment was more common.
    Matched MeSH terms: South Africa
  10. Fulltext Morphological and molecular systematic review of Marphysa Quatrefages, 1865 (Annelida: Eunicidae) species from South Africa
    Kara J, Molina-Acevedo IC, Zanol J, Simon C, Idris I
    PeerJ, 2020;8:e10076.
    PMID: 33150064 DOI: 10.7717/peerj.10076
    A vast polychaete fauna is hidden behind complexes of cryptic and pseudo-cryptic species, which has greatly hindered our understanding of species diversity in several regions worldwide. Among the eunicids, Marphysa sanguinea Montagu, 1813 is a typical example, recorded in three oceans and with various species considered its junior synonyms. In South Africa, specimens previously misidentified as M. sanguinea are now known as Marphysa elityeni Lewis & Karageorgopoulos, 2008. Of the six Marphysa Quatrefages, 1865a species recorded from the same region, three have their distributions restricted to South Africa while the others are considered to have worldwide distributions. Here, we evaluated the taxonomic status of the indigenous M. elityeni and investigated the presence of the widespread species Marphysa macintoshi Crossland, 1903 and Marphysa depressa Schmarda, 1861 in South Africa using morphological and molecular data. Our results reveal that M. elityeni is a junior synonym of Marphysa haemasoma, a species previously described from South Africa which is herein reinstated as a valid species. Both M. macintoshi and M. depressa are not present in South Africa and their status as being distributed worldwide deserves further investigation. Marphysa durbanensis Day, 1934 and the new species described here, M. sherlockae n. sp., had been misidentified as M. macintoshi and M. depressa respectively. Thus, the number of Marphysa species with distributions restricted to South Africa increased from three to five. This study reiterates the importance of implementing an integrated taxonomic framework to unravel local biodiversity.
    Matched MeSH terms: South Africa
  11. Fulltext Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting
    Tariq MU, Ismail SB, Babar M, Ahmad A
    PLoS One, 2023;18(7):e0287755.
    PMID: 37471397 DOI: 10.1371/journal.pone.0287755
    The pandemic has significantly affected many countries including the USA, UK, Asia, the Middle East and Africa region, and many other countries. Similarly, it has substantially affected Malaysia, making it crucial to develop efficient and precise forecasting tools for guiding public health policies and approaches. Our study is based on advanced deep-learning models to predict the SARS-CoV-2 cases. We evaluate the performance of Long Short-Term Memory (LSTM), Bi-directional LSTM, Convolutional Neural Networks (CNN), CNN-LSTM, Multilayer Perceptron, Gated Recurrent Unit (GRU), and Recurrent Neural Networks (RNN). We trained these models and assessed them using a detailed dataset of confirmed cases, demographic data, and pertinent socio-economic factors. Our research aims to determine the most reliable and accurate model for forecasting SARS-CoV-2 cases in the region. We were able to test and optimize deep learning models to predict cases, with each model displaying diverse levels of accuracy and precision. A comprehensive evaluation of the models' performance discloses the most appropriate architecture for Malaysia's specific situation. This study supports ongoing efforts to combat the pandemic by offering valuable insights into the application of sophisticated deep-learning models for precise and timely SARS-CoV-2 case predictions. The findings hold considerable implications for public health decision-making, empowering authorities to create targeted and data-driven interventions to limit the virus's spread and minimize its effects on Malaysia's population.
    Matched MeSH terms: Africa
  12. World Health Organization (WHO)'s Intersectoral Global Action Plan (IGAP); implications for Asian and African countries
    Wasay M, Younis S, Charway-Felli A, Basri H
    J Neurol Sci, 2023 Jan 15;444:120499.
    PMID: 36450220 DOI: 10.1016/j.jns.2022.120499
    Matched MeSH terms: Africa/epidemiology
  13. Fulltext A review about COVID-19 in the MENA region: environmental concerns and machine learning applications
    Meskher H, Belhaouari SB, Thakur AK, Sathyamurthy R, Singh P, Khelfaoui I, et al.
    Environ Sci Pollut Res Int, 2022 Nov;29(55):82709-82728.
    PMID: 36223015 DOI: 10.1007/s11356-022-23392-z
    Coronavirus disease 2019 (COVID-19) has delayed global economic growth, which has affected the economic life globally. On the one hand, numerous elements in the environment impact the transmission of this new coronavirus. Every country in the Middle East and North Africa (MENA) area has a different population density, air quality and contaminants, and water- and land-related conditions, all of which influence coronavirus transmission. The World Health Organization (WHO) has advocated fast evaluations to guide policymakers with timely evidence to respond to the situation. This review makes four unique contributions. One, many data about the transmission of the new coronavirus in various sorts of settings to provide clear answers to the current dispute over the virus's transmission were reviewed. Two, highlight the most significant application of machine learning to forecast and diagnose severe acute respiratory syndrome coronavirus (SARS-CoV-2). Three, our insights provide timely and accurate information along with compelling suggestions and methodical directions for investigators. Four, the present study provides decision-makers and community leaders with information on the effectiveness of environmental controls for COVID-19 dissemination.
    Matched MeSH terms: Africa, Northern/epidemiology
  14. Fulltext Historic Sampling of a Vanishing Beast: Population Structure and Diversity in the Black Rhinoceros
    Sánchez-Barreiro F, De Cahsan B, Westbury MV, Sun X, Margaryan A, Fontsere C, et al.
    Mol Biol Evol, 2023 Sep 01;40(9).
    PMID: 37561011 DOI: 10.1093/molbev/msad180
    The black rhinoceros (Diceros bicornis L.) is a critically endangered species historically distributed across sub-Saharan Africa. Hunting and habitat disturbance have diminished both its numbers and distribution since the 19th century, but a poaching crisis in the late 20th century drove them to the brink of extinction. Genetic and genomic assessments can greatly increase our knowledge of the species and inform management strategies. However, when a species has been severely reduced, with the extirpation and artificial admixture of several populations, it is extremely challenging to obtain an accurate understanding of historic population structure and evolutionary history from extant samples. Therefore, we generated and analyzed whole genomes from 63 black rhinoceros museum specimens collected between 1775 and 1981. Results showed that the black rhinoceros could be genetically structured into six major historic populations (Central Africa, East Africa, Northwestern Africa, Northeastern Africa, Ruvuma, and Southern Africa) within which were nested four further subpopulations (Maasailand, southwestern, eastern rift, and northern rift), largely mirroring geography, with a punctuated north-south cline. However, we detected varying degrees of admixture among groups and found that several geographical barriers, most prominently the Zambezi River, drove population discontinuities. Genomic diversity was high in the middle of the range and decayed toward the periphery. This comprehensive historic portrait also allowed us to ascertain the ancestry of 20 resequenced genomes from extant populations. Lastly, using insights gained from this unique temporal data set, we suggest management strategies, some of which require urgent implementation, for the conservation of the remaining black rhinoceros diversity.
    Matched MeSH terms: Africa, Eastern; Africa South of the Sahara
  15. Fulltext Is hardship during migration a determinant of HIV infection? Results from the ANRS PARCOURS study of sub-Saharan African migrants in France
    Desgrees-du-Lou A, Pannetier J, Ravalihasy A, Le Guen M, Gosselin A, Panjo H, et al.
    AIDS, 2016 Feb 20;30(4):645-56.
    PMID: 26558722 DOI: 10.1097/QAD.0000000000000957
    In Europe, sub-Saharan African migrants are a key population for HIV infection. We analyse how social hardships during settlement in France shape sexual partnerships and HIV risk.
    Matched MeSH terms: Africa, Northern; Africa South of the Sahara
  16. Fulltext World malaria situation in 1990
    Bull World Health Organ, 1992;70(6):801-4, 809-13.
    PMID: 1283116
    Matched MeSH terms: Africa/epidemiology
  17. Fulltext Interventions to Improve Adherence to Antiretroviral Therapy (ART) in Sub-Saharan Africa: An Updated Systematic Review
    Damulak PP, Ismail S, Abdul Manaf R, Mohd Said S, Agbaji O
    Int J Environ Res Public Health, 2021 03 03;18(5).
    PMID: 33802322 DOI: 10.3390/ijerph18052477
    Optimal adherence to antiretroviral therapy (ART) remains the bedrock of effective therapy and management of human immunodeficiency virus (HIV). This systematic review examines the effect of interventions in improving ART adherence in sub-Saharan Africa (SSA), which bears the largest global burden of HIV infection. In accordance with PRISMA guidelines, and based on our inclusion and exclusion criteria, PUBMED, MEDLINE, and Google Scholar databases were searched for published studies on ART adherence interventions from 2010 to 2019. Thirty-one eligible studies published between 2010 to 2019 were identified, the categories of interventions were structural, behavioral, biological, cognitive, and combination. Study characteristics varied across design, intervention type, intervention setting, country, and outcome measurements. Many of the studies were behavioral interventions conducted in hospitals with more studies being randomized controlled trial (RCT) interventions. Despite the study variations, twenty-four studies recorded improvements. Notwithstanding, more quality studies such as RCTs should be conducted, especially among key affected populations (KAPs) to control transmission of resistant strains of the virus. Reliable objective measures of adherence should replace the conventional subjective self-report. Furthermore, long-term interventions with longer duration should be considered when evaluating the effectiveness of interventions.
    Matched MeSH terms: Africa South of the Sahara/epidemiology
  18. Fulltext Multivariate visualization of the global COVID-19 pandemic: A comparison of 161 countries
    Teh JKL, Bradley DA, Chook JB, Lai KH, Ang WT, Teo KL, et al.
    PLoS One, 2021;16(5):e0252273.
    PMID: 34048477 DOI: 10.1371/journal.pone.0252273
    BACKGROUND: The aim of the study was to visualize the global spread of the COVID-19 pandemic over the first 90 days, through the principal component analysis approach of dimensionality reduction.

    METHODS: This study used data from the Global COVID-19 Index provided by PEMANDU Associates. The sample, representing 161 countries, comprised the number of confirmed cases, deaths, stringency indices, population density and GNI per capita (USD). Correlation matrices were computed to reveal the association between the variables at three time points: day-30, day-60 and day-90. Three separate principal component analyses were computed for similar time points, and several standardized plots were produced.

    RESULTS: Confirmed cases and deaths due to COVID-19 showed positive but weak correlation with stringency and GNI per capita. Through principal component analysis, the first two principal components captured close to 70% of the variance of the data. The first component can be viewed as the severity of the COVID-19 surge in countries, whereas the second component largely corresponded to population density, followed by GNI per capita of countries. Multivariate visualization of the two dominating principal components provided a standardized comparison of the situation in the161 countries, performed on day-30, day-60 and day-90 since the first confirmed cases in countries worldwide.

    CONCLUSION: Visualization of the global spread of COVID-19 showed the unequal severity of the pandemic across continents and over time. Distinct patterns in clusters of countries, which separated many European countries from those in Africa, suggested a contrast in terms of stringency measures and wealth of a country. The African continent appeared to fare better in terms of the COVID-19 pandemic and the burden of mortality in the first 90 days. A noticeable worsening trend was observed in several countries in the same relative time frame of the disease's first 90 days, especially in the United States of America.

    Matched MeSH terms: Africa/epidemiology
  19. The Middle East and North Africa Diagnosis and Management Guidelines for Inborn Errors of Immunity
    Baris S, Abolhassani H, Massaad MJ, Al-Nesf M, Chavoshzadeh Z, Keles S, et al.
    J Allergy Clin Immunol Pract, 2023 Jan;11(1):158-180.e11.
    PMID: 36265766 DOI: 10.1016/j.jaip.2022.10.003
    Human inborn errors of immunity (IEI) are a group of 485 distinct genetic disorders affecting children and adults. Signs and symptoms of IEI are heterogeneous, and accurate diagnosis can be challenging and depends on the available human expertise and laboratory resources. The Middle East and North Africa (MENA) region has an increased prevalence of IEI because of the high rate of consanguinity with a predominance of autosomal recessive disorders. This area also exhibits more severe disease phenotypes compared with other regions, probably due to the delay in diagnosis. The MENA-IEI registry network has designed protocols and guidelines for the diagnosis and treatment of IEI, taking into consideration the variable regional expertise and resources. These guidelines are primarily meant to improve the care of patients within the region, but can also be followed in other regions with similar patient populations.
    Matched MeSH terms: Africa, Northern/epidemiology
  20. Fulltext Mental distress and substance use among rural Black South African youth who are not in employment, education or training (NEET)
    Mngoma NF, Ayonrinde OA
    Int J Soc Psychiatry, 2023 May;69(3):532-542.
    PMID: 35903872 DOI: 10.1177/00207640221114252
    BACKGROUND: South Africa (SA) has one of the highest rates of youth unemployment and youth who are not in employment, education or training (NEET), even higher among Black South Africans. SA's NEET rates are 3 times those of UK; 5.4 times of Germany; 1.3 times of Brazil; and 2.5 times of Malaysia. Given that youths between 15 and 24 years of age make up 24% of the total population, these are significant challenges for the economy and further fuel the cyclical, pervasive and enduring nature of poverty. We hypothesised that rural youth who are NEET would have a greater prevalence of mental disorders and higher rates of substance use compared to their non-NEET counterparts. The objective of the study is to determine the differences in rates of psychological distress and substance use between NEET and non-NEET rural African 14- to 24-year-old young men.

    METHODS: The study took place in a remote and rural district municipality in KwaZulu-Natal, South Africa. We divided the district's five sub-municipalities into two clusters (large and small) and randomly selected one from each cluster for inclusion in the study. We further randomly selected wards from each sub-municipality and then rural settlements from each ward, for inclusion in the study. We recruited young men as part of a larger study to explore sociocultural factors important in gender-based violence in rural SA. We compared 15- to 19-year old and 20- to 24-year old youth NEET and non-NEET on rates of psychological distress symptoms (depression, anxiety, suicidal thoughts, hopelessness and worthlessness) and substance misuse (including alcohol, cannabis, other recreational drugs) using a Multivariate Analysis of Variance (MANOVA) statistics at p 

    Matched MeSH terms: South Africa/epidemiology
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