47 research outputs found

    A tracking framework for accurate face localization

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    This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

    A tracking framework for accurate face localization

    Get PDF
    This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

    Burden of non-communicable diseases in Tunisia, 1990-2017: results from the global burden of disease study

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    Introduction: non-communicable diseases (NCDs) are the leading cause of mortality and disability worldwide especially in developing countries such as Tunisia. We aimed to describe the national burden of non-communicable diseases in 2017 and to analyze disability-adjusted life year trends from 1990 to 2017 in Tunisia by cause and gender. Methods: we used Joinpoint regression analysis to assess trends of the age standardized disability-adjusted life year rate from 1990 to 2017 and to determine average annual percentage change. Results: non-communicable diseases accounted for 87.7% of total disability-adjusted life year in Tunisia in 2017. The five leading causes of this rate in Tunisia in 2017 were cardiovascular diseases, musculoskeletal disorders, neoplasms, mental disorders and neurological disorders. The trend of disability-adjusted life year rate of non-communicable diseases decreased significantly from 23403.2 per 100.000 (95% CI: 20830.2-26285.8) in 1990 to 18454.6 (95% CI: 15611.3-21555.4) in 2017, with a change of -0.9%; p=0.00. The decrease of the age standardized disability-adjusted life year rate concerned mainly cardiovascular diseases and neoplasms secondly. This decrease was more important in female (change=-1.1, p=0.00) in comparison to males (change=-0.7, p=0.00). On the other hand, the increase of the standardized disability-adjusted life year rate was related to musculoskeletal disorders, diabetes, kidney disorders and substance use disorders with a significant annual percentage change of 0.1%, 0.2% and 1.3% (p=0.00) respectively. Conclusion: the implementation of the national strategy is the key solution to mitigate the impact of non-communicable diseases in Tunisia

    Patients’ experiences and satisfaction with health care in the Salah Azaiez Institute of Cancer in Tunisia in 2020

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    Measurement of patient-centered care is a key step to ensure quality of care improvement. The aims of this study were to evaluate the experience of hospitalized patients of Salah Azaiez Institute (SAI) of Cancer of Tunisia in 2020 and to analyze factors associated to the global satisfaction. It was a cross-sectional study. The used questionnaire was derived from the Picker patient questionnaire. Factors associated to the global satisfaction were assessed using Chi-squared and Fisher’s exact tests. The present study concerned 200 inpatients of the SAI. The Cronbach’s α of the patient experience test (PPE-15) was of 0.82 indicating a good internal consistency. According to results of this study, only 38.5% of the patients were satisfied with their hospitalization. Perception of the quality of the received treatment was good to excellent for 57.0%. Regarding the global organization, 56.5% of the patients found it intermediate and 21.5% perceived it as bad. The highest scores among patient experience dimensions concerned the coordination of healthcare, the respect for patient preference and the physical comfort. However, lowest scores were attributed to the involvement of family and friends, the information and patient education and the emotional support. Unlike socio-demographic factors, patient experience and its dimensions was strongly associated to the global satisfaction. Further studies are recommended to explore patient experience dimensions and other determinants of patient satisfaction in Tunisia. Experience Framework This article is associated with the Policy & Measurement lens of The Beryl Institute Experience Framework. (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens

    A tracking framework for accurate face localization

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    This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost function. This method was designed to handle different scale, pose and lighting conditions. The experiments show that it improves the face detection rate compared to a frame-based detector and provides a higher precision than a forward information-based tracker.IFIP International Conference on Artificial Intelligence in Theory and Practice - Machine VisionRed de Universidades con Carreras en Informática (RedUNCI

    Complications traumatiques et psychosociales des chutes chez le sujet âgé tunisien

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    Introduction: les chutes chez le sujet âgĂ© constituent un problème de santĂ© majeur de par les complications traumatiques et psychosociales qui peuvent entrainer une perte de l'autonomie et un Ă©tat de dĂ©pendance. L'objectif de notre travail est d'Ă©tudier les circonstances et les consĂ©quences traumatiques et psychosociales des chutes chez les sujets âgĂ©s. MĂ©thodes: nous avons menĂ© une Ă©tude rĂ©trospective rĂ©alisĂ©e entre septembre 2014 et janvier 2016 incluant 40 patients âgĂ©s de 65 ans et plus ayant fait au moins une chute l'annĂ©e prĂ©cĂ©dente recrutĂ©s parmi les patients hospitalisĂ©s ou suivis Ă  la consultation externe du service de MĂ©decine Interne B de l'hĂ´pital Charles Nicolle. Les circonstances et les consĂ©quences des chutes ont Ă©tĂ© recueillies par l'interrogatoire rĂ©trospectif des patients et de leur entourage Ă  distance de la chute. RĂ©sultats: l'âge moyen des patients chuteurs Ă©tait de 75,7 ans avec une prĂ©dominance fĂ©minine nette (30F/10H). Des facteurs prĂ©cipitants Ă©taient retrouvĂ©s chez 38 patients. Ils Ă©taient de type extrinsèque dans 78,9% des cas et intrinsèques dans 50% des cas. Un sĂ©jour prolongĂ© au sol Ă©tait notĂ© dans 10% des cas. Les fractures Ă©taient plus frĂ©quentes chez les femmes (12F/1H) intĂ©ressant surtout les membres supĂ©rieurs (61,5%). Les consĂ©quences psychosociales ont Ă©tĂ© plus frĂ©quentes chez les femmes. Un syndrome post chutes a Ă©tĂ© notĂ© chez 5 patients. Conclusion: la correction des facteurs prĂ©cipitants intrinsèques et extrinsèques des chutes et l'apprentissage du relever du sol en post chutes permettra de prĂ©venir le risque de chute ainsi que ses consĂ©quences graves

    Mental health status of adults under institutional quarantine: a cross-sectional survey in Tunisia

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    Introduction: restrictive measures imposed during the COVID-19 pandemic, such as quarantine, may induce psychiatric outcomes among concerned individuals. The present study aimed to describe the mental health status of Tunisian adults under mandatory institutional quarantine imposed during the COVID-19 pandemic, and to determine factors influencing the occurrence of psychiatric symptoms. Methods: a cross-sectional phone survey was conducted from April to November 2020 using convenience sampling of persons who had experienced mandatory institutional quarantine. A standardized questionnaire was administered to participants including questions about socio-demographic characteristics and quarantine related information. Generalized anxiety disorder, depression symptoms, and sleep quality during quarantine were assessed using, respectively, the generalized anxiety disorder-7 (GAD-7), the centre for epidemiological studies depression (CES-D-10) and the insomnia severity index (ISI) scales. Bivariate and multivariate analyses were performed to determine factors associated with anxiety and/or depression and with clinical insomnia. Results: among 506 participants, 38.3% experienced anxiety and/or depression symptoms (anxiety:15.4%; depression:37.4%) and 19.2% had clinical insomnia. The prevalence of anxiety and/or depression symptoms and insomnia were higher among women those who spent three hours or above on COVID-19 news, those who had economic difficulties due to COVID-19 pandemic, those who were not satisfied by the accommodation conditions of quarantine facilities, and those who had experienced stigma. Conclusion: high prevalence of psychiatric symptoms among quarantined individuals was found in this study. Psychological interventions should thus be an integral part of the COVID-19 control strategy in order to provide adequate psychological support to persons quarantined due to COVID-19

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

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    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
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