Reducing child undernutrition

How rapidly will child undernutrition respond to income growth? This study explores that question using household survey data from 12 countries. In addition, data on the undernutrition rates since the 1970s available from a cross-section of countries are employed in this investigation. Both forms of analysis yield similar results. Income increases at household and national levels imply similar rates of reduction in undernutrition. Using these estimates and better-than-historical income growth rates, we find that the Millennium Development Goal (MDG) of halving the levels of child underweight by 2015 is unlikely to be met through income growth alone. What is needed is a balanced strategy of income growth and investment in more direct interventions to accelerate reductions in undernutrition.Food security. ,Income Developing countries. ,Malnutrition. ,Children Nutrition. ,

Introducing Divergence for Infinite Probabilistic Models

Computing the reachability probability in infinite state probabilistic models has been the topic of numerous works. Here we introduce a new property called \emph{divergence} that when satisfied allows to compute reachability probabilities up to an arbitrary precision. One of the main interest of divergence is that our algorithm does not require the reachability problem to be decidable. Then we study the decidability of divergence for probabilistic versions of pushdown automata and Petri nets where the weights associated with transitions may also depend on the current state. This should be contrasted with most of the existing works that assume weights independent of the state. Such an extended framework is motivated by the modeling of real case studies. Moreover, we exhibit some divergent subclasses of channel systems and pushdown automata, particularly suited for specifying open distributed systems and networks prone to performance collapsing in order to compute the probabilities related to service requirements.Comment: 31 page

About Decisiveness of Dynamic Probabilistic Models

Decisiveness of infinite Markov chains with respect to some (finite or infinite) target set of states is a key property that allows to compute the reachability probability of this set up to an arbitrary precision. Most of the existing works assume constant weights for defining the probability of a transition in the considered models. However numerous probabilistic modelings require the (dynamic) weight to also depend on the current state. So we introduce a dynamic probabilistic version of counter machine (pCM). After establishing that decisiveness is undecidable for pCMs even with constant weights, we study the decidability of decisiveness for subclasses of pCM. We show that, without restrictions on dynamic weights, decisiveness is undecidable with a single state and single counter pCM. On the contrary with polynomial weights, decisiveness becomes decidable for single counter pCMs under mild conditions. Then we show that decisiveness of probabilistic Petri nets (pPNs) with polynomial weights is undecidable even when the target set is upward-closed unlike the case of constant weights. Finally we prove that the standard subclass of pPNs with a regular language is decisive with respect to a finite set whatever the kind of weights

In vitro and in vivo evaluation of antidiabetic potential of extracts of selected medicinal plant preparations collected from Nigerian traditional medical practitioners

Background: Diabetes mellitus is one of the main chronic diseases worldwide. It is characterized by persistent hyperglycaemia. Individuals with persistent  hyperglycaemia are at high risk of developing complications (blindness, leg  amputations and kidney failure). Nigeria is 1 of 4 highly populated countries in  Africa with the largest number of people with diabetes mellitus majority of who use plant extracts given to them by traditional medical practitioners (TMPs).Objectives: To assess the antidiabetic potential of extracts of selected Nigerian medicinal plant recipes collected from TMPS.Materials and Methods: Eighteen recipes (maximum 2 plants) were selected after an ethnobotanical survey of medicinal plant recipes used by TMPs in the management of diabetes mellitus in the 6 geopolitical zones of Nigeria. Recipes were extracted in water according to traditional usage and screened in vitro to assess glucose uptake in C2C12 muscle cells and glucose production by the H4IIE liver cells (through inhibition of glucose-6-phosphatase, the rate limiting enzyme) and in vivo through the oral glucose tolerance test in normal mice (2 g/kg glucose).Results: Two extract recipes (NC01 and NC09E) stimulated glucose uptake in  C2C12 cells, 5 (NW14, NE15, NC01, SE01 and NW01) reduced glucose production in H4IIE cells and 4 (SE04, SE11, NC01 and NC09E) prevented hyperglycaemia in glucose-loaded normal mice. Conclusion: Only a few of the extracts from the recipes collected from the TMPs showed antidiabetic activity by increasing glucose uptake in the muscle (11%), reducing glucose production in the liver (28%) and/or preventing hyperglycaemia (22%).Keywords: Diabetes mellitus, Recipe extracts, Glucose uptake, Glucose production, Oral glucose tolerance tes

Open Applications developed in Brazil for Distant Learning in Dentistry: Valuable Educational Resources for Academic Professional Qualification

Technology Enabled Learning, distance learning that leverages Information and Communication Technologies (ICT), has enabled thousands of individuals to access educational content, , and encouraged many educational institutions to adopt this modality. In Brazil, in order to promote Permanent Education in Health  or continuing professional development (CPD) of professionals working in the public health sector, the government created the Open University of Brazilian National Health System (UNA-SUS), which  offers postgraduate, updating and improvement courses, focusing on public and community health. In addition, to improve quality in Primary Care service inside SUS, Brazil developed the Telehealth Networks Programme; a national program that integrates teaching and service through ICT, offering conditions to promote Telecare and Tele-education. A challenge in consolidating these initiatives is to service professionals working in remote areas, precisely those who need CPD the most. To address this problem, UNA-SUS collaborated with Federal University of Maranhão (UFMA) to develop applications for mobile devices available through the SAITE Store platform. This makes the educational content created by the institution available both online and offline, and using different types of devices.  Recognising Dentistry as a primary healthcare component, UNA-SUS/UFMA developed applications for this specific area. The content is multidisciplinary, presenting relevant information to the various professionals who provide primary care services in dental care within the healthcare network. This paper describes the history of the partnership between UNA-SUS/UFMA, the focus on dentistry and alignment with the Faculty of Dentistry of the University of São Paulo (FOUSP) Teledentistry programme,  the rationale and production process of mobile applications by UNA-SUS/UFMA, and their relevance  for academic and professional qualification of primary healthcare workers throughout Brazil

Comprehensive Evidence-Based Assessment and Prioritization of Potential Antidiabetic Medicinal Plants: A Case Study from Canadian Eastern James Bay Cree Traditional Medicine

Canadian Aboriginals, like others globally, suffer from disproportionately high rates of diabetes. A comprehensive evidence-based approach was therefore developed to study potential antidiabetic medicinal plants stemming from Canadian Aboriginal Traditional Medicine to provide culturally adapted complementary and alternative treatment options. Key elements of pathophysiology of diabetes and of related contemporary drug therapy are presented to highlight relevant cellular and molecular targets for medicinal plants. Potential antidiabetic plants were identified using a novel ethnobotanical method based on a set of diabetes symptoms. The most promising species were screened for primary (glucose-lowering) and secondary (toxicity, drug interactions, complications) antidiabetic activity by using a comprehensive platform of in vitro cell-based and cell-free bioassays. The most active species were studied further for their mechanism of action and their active principles identified though bioassay-guided fractionation. Biological activity of key species was confirmed in animal models of diabetes. These in vitro and in vivo findings are the basis for evidence-based prioritization of antidiabetic plants. In parallel, plants were also prioritized by Cree Elders and healers according to their Traditional Medicine paradigm. This case study highlights the convergence of modern science and Traditional Medicine while providing a model that can be adapted to other Aboriginal realities worldwide

Prevalence and Potential Determinants of COVID-19 Vaccine Hesitancy and Resistance in Qatar

Global COVID-19 pandemic containment necessitates understanding the risk of hesitance or resistance to vaccine uptake in different populations. The Middle East and North Africa currently lack vital representative vaccine hesitancy data. We conducted the first representative national phone survey among the adult population of Qatar, between December 2020 and January 2021, to estimate the prevalence and identify potential determinants of vaccine willingness: acceptance (strongly agree), resistance (strongly disagree), and hesitance (somewhat agree, neutral, somewhat disagree). Bivariate and multinomial logistic regression models estimated associations between willingness groups and fifteen variables. In the total sample, 42.7% (95% CI: 39.5-46.1) were accepting, 45.2% (95% CI: 41.9-48.4) hesitant, and 12.1% (95% CI: 10.1-14.4) resistant. Vaccine resistant compared with hesistant and accepting groups reported no endorsement source will increase vaccine confidence (58.9% vs. 5.6% vs. 0.2%, respectively). Female gender, Arab ethnicity, migrant status/type, and vaccine side-effects concerns were associated with hesitancy and resistance. COVID-19 related bereavement, infection, and quarantine status were not significantly associated with any willingness group. Absence of or lack of concern about contracting the virus was solely associated with resistance. COVID-19 vaccine resistance, hesitance, and side-effects concerns are high in Qatar's population compared with those globally. Urgent public health engagement should focus on women, Qataris (non-migrants), and Arab ethnicity

Qatar - Longitudinal Assessment of Mental Health in Pandemics (Q-LAMP)

Aims: QLAMP aims to identify risk factors and resilience factors for symptoms of psychiatric illness during the pandemic. Study strengths include the 1-year longitudinal design and the use of standardised instruments already available in English and Arabic. The results will increase understanding of the impact of the pandemic on mental health for better support of the population during the pandemic and in future epidemics. Until an effective vaccine is available or herd immunity is achieved, countries are likely to encounter repeated ‘waves’ of infection. The identification of at-risk groups for mental illness will inform the planning and delivery of individualized treatment including primary prevention. Methodology: Longitudinal online survey; SMS-based recruitment and social media platforms advertisements e.g. Facebook, Instagram; Online consent; Completion time for questionnaires: approx. 20 to 30 minute; Baseline questionnaire with follow up at 3, 6, 9 and 12 months; Study completion date: Sept. 2021. Inclusion Criteria: Currently living in Qatar; Qatar residents: citizens and expatriates; Age 18 years; Read Arabic or English (questionnaire and consent form available in both languages). Instruments: Sociodemographic questionnaire including personal and family experience of COVID-19 infection; Standard instruments to assess psychiatric morbidity including depression, anxiety and PTSD; Research team-designed instruments to assess social impact of pandemic; Standard questionnaires to assess resilience, personality, loneliness, religious beliefs and social networks. Results: The analysis was based on 181 observations. Approximately, 3.5% of the sample was from the sms-recruitment method. The sample of completed surveys consisted of 65.0% females and 35.0% males. Qatari respondents comprised 27.0% of the total sample, while 52% of the sample were married, 25% had Grade 12 or lower level of educational attainment, and 46.0% were unemployed. Covid-19 appears to have affected different aspects of people’s lives from personal health to living arrangements, employment, and health of family and friends. Approximately, 41% to 55% of those who responded to the survey perceived changes in their stress levels, mental health, and loneliness to be worse than before the pandemic. Additionally, the wide-availability of information about the pandemic on the internet and social media was perceived as source of pandemic-related worries among members of the public. Conclusions: The continued provision of mental health service and educational campaigns about effective stress and mental health management is warranted

Prevalence and potential determinants of covid-19 vaccine hesitancy and resistance in qatar: Results from a nationally representative survey of qatari nationals and migrants between december 2020 and january 2021

Global COVID-19 pandemic containment necessitates understanding the risk of hesitance or resistance to vaccine uptake in different populations. The Middle East and North Africa currently lack vital representative vaccine hesitancy data. We conducted the first representative national phone survey among the adult population of Qatar, between December 2020 and January 2021, to estimate the prevalence and identify potential determinants of vaccine willingness: acceptance (strongly agree), resistance (strongly disagree), and hesitance (somewhat agree, neutral, somewhat disagree). Bivariate and multinomial logistic regression models estimated associations between willingness groups and fifteen variables. In the total sample, 42.7% (95% CI: 39.5-46.1) were accepting, 45.2% (95% CI: 41.9-48.4) hesitant, and 12.1% (95% CI: 10.1-14.4) resistant. Vaccine resistant compared with hesistant and accepting groups reported no endorsement source will increase vaccine confidence (58.9% vs. 5.6% vs. 0.2%, respectively). Female gender, Arab ethnicity, migrant status/type, and vaccine side-effects concerns were associated with hesitancy and resistance. COVID-19 related bereavement, infection, and quarantine status were not significantly associated with any willingness group. Absence of or lack of concern about contracting the virus was solely associated with resistance. COVID-19 vaccine resistance, hesitance, and side-effects concerns are high in Qatar's population compared with those globally. Urgent public health engagement should focus on women, Qataris (non-migrants), and those of Arab ethnicity.Funding: The study received an Emergency Response Grant Fund from Qatar University (QUERG-CAS-2020-1).Scopu