QUALITE DE VIE ET SANTE DANS UN QUARTIER A HABITAT INDIGNE DE LA VILLE D’ABIDJAN (COTE D’IVOIRE) : ROLE DE L’ASSAINISSEMENT DANS CE DEBAT ECOLOGIQUE

A survey of safety management, sanitation and diseases linked to poor hygiene was conducted in households of Abobo-Sagbé. This observation combines a collection of qualitative and quantitative data on a workforce of 120 individuals surveyed. At the end of the study, theories describe the sub-district Sagbé as an Unworthy District Space Habitat. This approach follows the assumption that the average health status of a population depends on the level of sanitation and basic infrastructure equipment it enjoys but also its ability to adapt (reactions and practices) in a post-crisis context; Indeed, the health risk in this county is growing day by day, and this article shall expose its determinants from a socio-constructivist approach while allowing to understand deeply the representations of the resident populations on their life quality

A numerical method to solve the two-step parabolic heat transport equations in a microsphere subjected to an ultrafast laser pulse

Heat transport at the microscale is the subject of intense investigation due to the growing need to fabricate microstructures for applications in nanotechnology. The need to control the spread of the thermal process zone has led to the development of high power short-pulse lasers. During thermal processing, impurities may form in the material. An amplification of the thermal energy around the impurities may result in severe damage occurring or in the failure of the thermal process. A thorough analysis of the way the impurities dissipates the thermal energy is therefore necessary to minimize the potential damage and optimize the thermal processing. The classical theory of heat diffusion, which is averaged over many grains, is inadequate in describing the transport phenomenon. Single energy equations developed to describe the transport phenomenon include a third-order mixed derivative with respect to space which makes them numerically inefficient. In this study, we will consider a microsphere subjected to an ultrafast laser pulse. The transport phenomenon is modeled by the two-step parabolic heat transport equations in three dimensional spherical coordinates. We will develop an energy estimate to establish the well-posedness of the problem, a three-level finite difference scheme to solve the transport equations, and prove that the finite difference scheme is unconditionally stable. The scheme will be applied to investigate the temperature rise in a gold sphere subjected to a short-pulse laser

QUALITE DE VIE ET SANTE DANS UN QUARTIER A HABITAT INDIGNE DE LA VILLE D’ABIDJAN (COTE D’IVOIRE) : ROLE DE L’ASSAINISSEMENT DANS CE DEBAT ECOLOGIQUE

A survey of safety management, sanitation and diseases linked to poor hygiene was conducted in households of Abobo-Sagbé. This observation combines a collection of qualitative and quantitative data on a workforce of 120 individuals surveyed. At the end of the study, theories describe the sub-district Sagbé as an Unworthy District Space Habitat. This approach follows the assumption that the average health status of a population depends on the level of sanitation and basic infrastructure equipment it enjoys but also its ability to adapt (reactions and practices) in a post-crisis context; Indeed, the health risk in this county is growing day by day, and this article shall expose its determinants from a socio-constructivist approach while allowing to understand deeply the representations of the resident populations on their life quality

Hydatidose cérébrale multiple d’origine cardiaque: à propos d’un cas

L'hydatidose cérébrale est très rare, de bon pronostic après le traitement chirurgical. La forme multiple de l'hydatidose cérébrale rend difficile la prise en charge chirurgicale et altère le bon pronostic de cette  pathologie. Nous rapportons l'observation d'une hydatidose cérébrale multiple d'origine cardiaque chez une fillette de 06 ans amenée aux urgences pour crises convulsives généralisées et un syndrome d'hypertension intracrânienne. L'examen clinique était normal, la tomodensitométrie a révélé 8 kystes hydatiques cérébraux se situant à la fois en sus et sous tentoriel et des deux côtés de la faux du cerveau. Elle fut opérée en deux temps avec une bonne amélioration clinique. Nous soulignons à travers ce cas, la rareté et la difficulté de la prise en charge chirurgicale de l'hydatidose cérébrale multipleKey words: Hydatidose, cérébrale, cardiaqu

Évaluation du Risque Cardiovasculaire Absolu Chez les Patients Hémodialysés Diabétiques et Non diabétiques au Centre National d’Hémodialyse de Donka Conakry

Le risque cardiovasculaire chez les hémodialysés semble varier en fonction du statut diabétique ainsi que d’autres facteurs associés et constitue un problème de santé publique en Afrique en général et particulièrement en Guinée. Dans ce sens, l’objectif de cette étude était d’évaluer le risque de survenue d’une pathologie cardiovasculaire absolu chez les patients hémodialysés diabétiques, par rapport aux patients hémodialysés non diabétiques. La présente, étude transversale, descriptive et analytique a été réalisée entre le 1 ier avril et le 30 juin 2019 au Centre National d’Hémodialyse de Donka. L’étude a inclus les 140 patients hémodialysés durant la période. Le recrutement était exhaustif et concernait tous les patients hémodialysés répondant aux critères de sélection. Les données ont été recueillies prospectivement chez les patients hémodialysés puis compilées et traitées dans Epi info. 7.2.2.6. Un questionnaire semi-administré a été utilisé à ce fin. Pour évaluer le risque cardiovasculaire chez les patients le FRAMINGHAM RISK SCORE (FRS) a été aussi utilisé. L’enquête a concerné 140 individus dont 91 (65,00%) étaient des hommes, contre 49 (35,00%) de femmes, soit un sex- ratio de 1,86 soit 2 hommes pour une femme. L’âge moyen était de 41 ± 4,1 ans avec des extrêmes de (30 ; 74) ans. On notait une prédominance chez les hommes des facteurs de risque, pour le tabagisme. L’étude a trouvé 39 diabétiques contre 101 non diabétiques. Le risque était élevé chez 23 diabétiquessur 39 ; et 25 sur 101 des patients non diabétiques. L’étude montre qu’un patient sur quatre aurait un risque absolu élevé chez les patients non diabétiques et un patient sur deux chez les patients diabétiques. Ce risque est majoré par d’autres facteurs associés. Introduction: Cardiovascular risk in hemodialysis appears to vary depending on diabetic status and other associated factors and is a public health problem in Africa in general and particularly in Guinea. The objective of this study was to assess the risk of absolute cardiovascular disease in diabetic hemodialysis patients, compared to non-diabetic hemodialysis patients. Methods: Between April 1 and June 30, 2019, a descriptive and analytical cross-sectional study was conducted at the National Hemodialysis Centre in Donka. The study included 140 hemodialysis patients during the period. Recruitment was comprehensive and involved all hemodialysis patients meeting the selection criteria. The data were collected prospectively in hemodialysis patients and then compiled and processed in Epi info. 7.2.2.6. A semi-administered questionnaire had been used. To assess cardiovascular risk in patients, FRAMINGHAM RISK SCORE (FRS) was used. Results: The survey involved 140 individuals, 91 of whom (65.00%) 49 (35.00%) were men. sex ratio of 1.86 or 2 men per woman. The average age was 41-4.1 years with extremes of (30; 74) years. There was a predominance among men of risk factors for smoking. The study found 39 diabetics versus 101 non-diabetics. The risk was high in 23 out of 39 diabetics; and 25 out of 101 non-diabetic patients. Conclusion: The study shows that one in four patients would have a high absolute risk in diabetic and non-diabetic patients and also confirms the association of other factors that increase this risk. The survey involved 140 individuals, 91 of whom (65.00%) 49 (35.00%) were men. sex ratio of 1.86 or 2 men per woman. The average age was 41-4.1 years with extremes of (30; 74) years. There was a predominance among men of risk factors for smoking and diabetes. In our series, most of our patients had a low risk level of 56 (40%). Conclusion: This survey finds a low risk in this hemodialysis population. This should lead to strengthening strategies for preventing cardiovascular disease in this at-risk population

Lessons learned for surveillance system strengthening through capacity building and partnership engagement in post-Ebola Guinea, 2015–2019

The 2014–2016 Ebola outbreak in Guinea revealed systematic weaknesses in the existing disease surveillance system, which contributed to delayed detection, underreporting of cases, widespread transmission in Guinea and cross-border transmission to neighboring Sierra Leone and Liberia, leading to the largest Ebola epidemic ever recorded. Efforts to understand the epidemic's scale and distribution were hindered by problems with data completeness, accuracy, and reliability. In 2017, recognizing the importance and usefulness of surveillance data in making evidence-based decisions for the control of epidemic-prone diseases, the Guinean Ministry of Health (MoH) included surveillance strengthening as a priority activity in their post-Ebola transition plan and requested the support of partners to attain its objectives. The U.S. Centers for Disease Control and Prevention (US CDC) and four of its implementing partners—International Medical Corps, the International Organization for Migration, RTI International, and the World Health Organization—worked in collaboration with the Government of Guinea to strengthen the country's surveillance capacity, in alignment with the Global Health Security Agenda and International Health Regulations 2005 objectives for surveillance and reporting. This paper describes the main surveillance activities supported by US CDC and its partners between 2015 and 2019 and provides information on the strategies used and the impact of activities. It also discusses lessons learned for building sustainable capacity and infrastructure for disease surveillance and reporting in similar resource-limited settings

Quantifying the value of viral genomics when inferring who infected whom in the 2014–16 Ebola virus outbreak in Guinea

Transmission trees can be established through detailed contact histories, statistical or phylogenetic inference, or a combination of methods. Each approach has its limitations, and the extent to which they succeed in revealing a 'true' transmission history remains unclear. In this study, we compared the transmission trees obtained through contact tracing investigations and various inference methods to identify the contribution and value of each approach. We studied eighty-six sequenced cases reported in Guinea between March and November 2015. Contact tracing investigations classified these cases into eight independent transmission chains. We inferred the transmission history from the genetic sequences of the cases (phylogenetic approach), their onset date (epidemiological approach), and a combination of both (combined approach). The inferred transmission trees were then compared to those from the contact tracing investigations. Inference methods using individual data sources (i.e. the phylogenetic analysis and the epidemiological approach) were insufficiently informative to accurately reconstruct the transmission trees and the direction of transmission. The combined approach was able to identify a reduced pool of infectors for each case and highlight likely connections among chains classified as independent by the contact tracing investigations. Overall, the transmissions identified by the contact tracing investigations agreed with the evolutionary history of the viral genomes, even though some cases appeared to be misclassified. Therefore, collecting genetic sequences during outbreak is key to supplement the information contained in contact tracing investigations. Although none of the methods we used could identify one unique infector per case, the combined approach highlighted the added value of mixing epidemiological and genetic information to reconstruct who infected whom

Determinants of Transmission Risk During the Late Stage of the West African Ebola Epidemic.

Understanding risk factors for Ebola transmission is key for effective prediction and design of interventions. We used data on 860 cases in 129 chains of transmission from the latter half of the 2013-2016 Ebola epidemic in Guinea. Using negative binomial regression, we determined characteristics associated with the number of secondary cases resulting from each infected individual. We found that attending an Ebola treatment unit was associated with a 38% decrease in secondary cases (incidence rate ratio (IRR) = 0.62, 95% confidence interval (CI): 0.38, 0.99) among individuals that did not survive. Unsafe burial was associated with a higher number of secondary cases (IRR = 1.82, 95% CI: 1.10, 3.02). The average number of secondary cases was higher for the first generation of a transmission chain (mean = 1.77) compared with subsequent generations (mean = 0.70). Children were least likely to transmit (IRR = 0.35, 95% CI: 0.21, 0.57) compared with adults, whereas older adults were associated with higher numbers of secondary cases. Men were less likely to transmit than women (IRR = 0.71, 95% CI: 0.55, 0.93). This detailed surveillance data set provided an invaluable insight into transmission routes and risks. Our analysis highlights the key role that age, receiving treatment, and safe burial played in the spread of EVD

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century