63 research outputs found
Antioxidant potentiality of three herbal teas consumed in Bandundu rural areas of Congo.
peer reviewedThe aim of this study was to evaluate and compare the cellular antioxidant activities of Lantana montevidensis, Lippia multiflora, and Ocimum gratissimum leaves often consumed as herbal teas in a rural area of Bandundu severely affected by konzo, which is related to oxidative damage. Consequently, dietary supplements with proven antioxidant potentialities could be of real interest to promote in this area. Phytochemical screening by TLC and HPLC-DAD of extracts revealed the presence of verbascoside as a major phenolic compound. Verbascoside in L. montevidensis and O. gratissimum is reported here for the first time. All extracts displayed high ABTS and DPPH radical-scavenging activities at the concentration range of 1-40 mug mL-1 according to order: L. multiflora > O. gratissimum > L. montevidensis. L. multiflora showed the best cellular antioxidant activity using DCFH-DA on HL-60 monocytes assay at 1-20 mug mL-1. These herbal teas may be used as nutraceuticals for their potent antioxidant activity
Projections of Ebola outbreak size and duration with and without vaccine use in Équateur, Democratic Republic of Congo, as of May 27, 2018.
As of May 27, 2018, 6 suspected, 13 probable and 35 confirmed cases of Ebola virus disease (EVD) had been reported in Équateur Province, Democratic Republic of Congo. We used reported case counts and time series from prior outbreaks to estimate the total outbreak size and duration with and without vaccine use. We modeled Ebola virus transmission using a stochastic branching process model that included reproduction numbers from past Ebola outbreaks and a particle filtering method to generate a probabilistic projection of the outbreak size and duration conditioned on its reported trajectory to date; modeled using high (62%), low (44%), and zero (0%) estimates of vaccination coverage (after deployment). Additionally, we used the time series for 18 prior Ebola outbreaks from 1976 to 2016 to parameterize the Thiel-Sen regression model predicting the outbreak size from the number of observed cases from April 4 to May 27. We used these techniques on probable and confirmed case counts with and without inclusion of suspected cases. Probabilistic projections were scored against the actual outbreak size of 54 EVD cases, using a log-likelihood score. With the stochastic model, using high, low, and zero estimates of vaccination coverage, the median outbreak sizes for probable and confirmed cases were 82 cases (95% prediction interval [PI]: 55, 156), 104 cases (95% PI: 58, 271), and 213 cases (95% PI: 64, 1450), respectively. With the Thiel-Sen regression model, the median outbreak size was estimated to be 65.0 probable and confirmed cases (95% PI: 48.8, 119.7). Among our three mathematical models, the stochastic model with suspected cases and high vaccine coverage predicted total outbreak sizes closest to the true outcome. Relatively simple mathematical models updated in real time may inform outbreak response teams with projections of total outbreak size and duration
From easing lockdowns to scaling up community-based coronavirus disease 2019 screening, testing, and contact tracing in Africa-shared approaches, innovations, and challenges to minimize morbidity and mortality
CITATION: Nachega, J. B. et al. 2021. From easing lockdowns to scaling up community-based coronavirus disease 2019 screening, testing, and contact tracing in Africa-shared approaches, innovations, and challenges to minimize morbidity and mortality. Clinical infectious diseases, 72(2):327–331. doi:10.1093/cid/ciaa695The original publication is available at https://academic.oup.com/cid/The arrival of coronavirus disease 2019 (COVID-19) on the African continent resulted in a range of lockdown measures that curtailed the spread of the infection but caused economic hardship. African countries now face difficult choices regarding easing of lockdowns and sustaining effective public health control measures and surveillance. Pandemic control will require efficient community screening, testing, and contact tracing; behavioral change interventions; adequate resources; and well-supported, community-based teams of trained, protected personnel. We discuss COVID-19 control approaches in selected African countries and the need for shared, affordable, innovative methods to overcome challenges and minimize mortality. This crisis presents a unique opportunity to align COVID-19 services with those already in place for human immunodeficiency virus, tuberculosis, malaria, and non communicable diseases through mobilization of Africa's interprofessional healthcare workforce. By addressing the challenges, the detrimental effect of the COVID-19 pandemic on African citizens can be minimized.https://academic.oup.com/cid/article/72/2/327/5849218?login=truePublishers versio
Nomenclature- and Database-Compatible Names for the Two Ebola Virus Variants that Emerged in Guinea and the Democratic Republic of the Congo in 2014
In 2014, Ebola virus (EBOV) was identified as the etiological agent of a large and still expanding outbreak of Ebola virus disease (EVD) in West Africa and a much more confined EVD outbreak in Middle Africa. Epidemiological and evolutionary analyses confirmed that all cases of both outbreaks are connected to a single introduction each of EBOV into human populations and that both outbreaks are not directly connected. Coding-complete genomic sequence analyses of isolates revealed that the two outbreaks were caused by two novel EBOV variants, and initial clinical observations suggest that neither of them should be considered strains. Here we present consensus decisions on naming for both variants (West Africa: “Makona”, Middle Africa: “Lomela”) and provide database-compatible full, shortened, and abbreviated names that are in line with recently established filovirus sub-species nomenclatures
Actigraphy in Human African Trypanosomiasis as a Tool for Objective Clinical Evaluation and Monitoring: A Pilot Study
The clinical picture of the parasitic disease human African trypanosomiasis (HAT, also called sleeping sickness) is dominated by sleep alterations. We here used actigraphy to evaluate patients affected by the Gambiense form of HAT. Actigraphy is based on the use of battery-run, wrist-worn devices similar to watches, widely used in middle-high income countries for ambulatory monitoring of sleep disturbances. This pilot study was motivated by the fact that the use of polysomnography, which is the gold standard technology for the evaluation of sleep disorders and has greatly contributed to the objective identification of signs of disease in HAT, faces tangible challenges in resource-limited countries where the disease is endemic. We here show that actigraphy provides objective data on the severity of sleep-wake disturbances that characterize HAT. This technique, which does not disturb the patient's routine activities and can be applied at home, could therefore represent an interesting, non-invasive tool for objective HAT clinical assessment and long-term monitoring under field conditions. The use of this method could provide an adjunct marker of HAT severity and for treatment follow-up, or be evaluated in combination with other disease biomarkers in body fluids that are currently under investigation in many laboratories
External quality assessment on the use of malaria rapid diagnostic tests in a non-endemic setting
<p>Abstract</p> <p>Background</p> <p>Malaria rapid diagnostic tests (RDTs) are increasingly used as a tool for the diagnosis of malaria, both in endemic and in non-endemic settings. The present study reports the results of an external quality assessment (EQA) session on RDTs in a non-endemic setting.</p> <p>Methods</p> <p>After validation of antigen stability during shipment at room temperature, three clinical samples and a questionnaire were sent to clinical laboratories in Belgium and the Grand Duchy of Luxembourg using malaria RDTs. Participants were asked to report the results of the RDTs as observations (visibility of the RDT control and test lines) and interpretations (report as formulated to the clinician). In addition, participants were invited to fill in a questionnaire on the place of RDTs in the diagnostic strategy of malaria.</p> <p>Results</p> <p>A total of 128/133 (96.2%) of clinical laboratories using RDTs participated. Six three-band and one four-band RDT brands were used. Analytical errors were rare and included (i) not recognizing invalid RDT results (1.6%) and (ii) missing the diagnosis of <it>Plasmodium falciparum </it>(0.8%). Minor errors were related to RDT test result interpretation and included (i) reporting "RDT positive" without species identification in the case of <it>P. falciparum </it>and non-<it>falciparum </it>species (16.9% and 6.5% respectively) and (ii) adding incorrect comments to the report (3.2%). Some of these errors were related to incorrect RDT package insert instructions such as (i) not reporting the possibility of mixed species infection in the case of <it>P. falciparum </it>and <it>Plasmodium vivax </it>(35.5% and 18.5% respectively) and (ii) the interpretation of <it>P. vivax </it>instead of non-falciparum species at the presence of a pan-species antigen line (4.0%). According to the questionnaire, 48.8% of participants processed ≤20 requests for malaria diagnosis in 2009. During opening hours, 93.6% of 125 participants used RDTs as an adjunct to microscopy but outside opening hours, nearly one third of 113 participants relied on RDTs as the primary (4.4%) or the single tool (25.7%) for malaria diagnosis.</p> <p>Conclusion</p> <p>In this non-endemic setting, errors in RDT performance were mainly related to RDT test line interpretations, partly due to incorrect package insert instructions. The reliance on RDTs as the primary or the single tool for the diagnosis of malaria outside opening hours is of concern and should be avoided.</p
The critical need for pooled data on coronavirus disease 2019 in African children : an AFREhealth call for action through multicountry research collaboration
Globally, there are prevailing knowledge gaps in the epidemiology, clinical manifestations, and outcomes of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) infection among children and adolescents; and these gaps are especially wide in African
countries. The availability of robust age-disaggregated data is a critical first step in improving knowledge on disease burden and
manifestations of coronavirus disease 2019 (COVID-19) among children. Furthermore, it is essential to improve understanding of
SARS-CoV-2 interactions with comorbidities and coinfections such as human immunodeficiency virus (HIV), tuberculosis, malaria, sickle cell disease, and malnutrition, which are highly prevalent among children in sub-Saharan Africa. The African Forum for
Research and Education in Health (AFREhealth) COVID-19 Research Collaboration on Children and Adolescents is conducting
studies across Western, Central, Eastern, and Southern Africa to address existing knowledge gaps. This consortium is expected to
generate key evidence to inform clinical practice and public health policy-making for COVID-19 while concurrently addressing
other major diseases affecting children in African countries.The US National Institutes of Health (NIH)/ Fogarty International Centre (FIC) to the African Forum for Research and Education in Health (AFREhealth).https://academic.oup.com/cidam2022Paediatrics and Child Healt
New filovirus disease classification and nomenclature.
The recent large outbreak of Ebola virus disease (EVD) in Western Africa resulted in greatly increased accumulation of human genotypic, phenotypic and clinical data, and improved our understanding of the spectrum of clinical manifestations. As a result, the WHO disease classification of EVD underwent major revision
A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa.
The progression of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in Africa has so far been heterogeneous, and the full impact is not yet well understood. In this study, we describe the genomic epidemiology using a dataset of 8746 genomes from 33 African countries and two overseas territories. We show that the epidemics in most countries were initiated by importations predominantly from Europe, which diminished after the early introduction of international travel restrictions. As the pandemic progressed, ongoing transmission in many countries and increasing mobility led to the emergence and spread within the continent of many variants of concern and interest, such as B.1.351, B.1.525, A.23.1, and C.1.1. Although distorted by low sampling numbers and blind spots, the findings highlight that Africa must not be left behind in the global pandemic response, otherwise it could become a source for new variants
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