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عربي 中文 English Français Русский Español Home Health Topics All topics » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Resources » Fact sheets Facts in pictures Multimedia Publications Questions & answers Tools and toolkits Popular » Coronavirus disease (COVID-19) Ebola virus disease Air pollution Hepatitis Top 10 causes of death World Health Assembly » Countries All countries » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Regions » Africa Americas South-East Asia Europe Eastern Mediterranean Western Pacific WHO in countries » Statistics Cooperation strategies Democratic Republic of the Congo »   Newsroom All news » News releases Statements Campaigns Commentaries Events Feature stories Speeches Spotlights Newsletters Photo library Media distribution list Headlines » Timeline: WHO's COVID-19 response »   Emergencies Focus on » COVID-19 pandemic Ebola virus disease outbreak DRC 2021 Syria crisis Crisis in Northern Ethiopia Afghanistan Crisis Latest » Disease Outbreak News Travel advice Situation reports Weekly Epidemiological Record WHO in emergencies » Surveillance Research Funding Partners Operations Independent Oversight and Advisory Committee Coronavirus disease outbreak (COVID-19) » WHO © Credits Data Data at WHO » Global Health Estimates Health SDGs Mortality Triple billion targets Data collections Dashboards » COVID-19 Dashboard Triple Billion Dashboard Health Equity monitor Mortality Highlights » GHO SCORE Insights and visualizations Data collection tools Reports World Health Statistics 2021 » WHO © Credits About WHO About WHO » People Teams Structure Partnerships Collaborating Centres Networks, committees and advisory groups Transformation Contact us » Governance » World Health Assembly Executive Board Election of Director-General Governing Bodies website Our Work » General Programme of Work WHO Academy Activities Initiatives Better health for everyone » WHO © Credits Skip to main content Access Home Alt+0 Navigation Alt+1 Content Alt+2 Bulletin of the World Health Organization Menu Bulletin Past issues Information for contributors Editorial members How to order About the Bulletin Disclaimer World Trade Organization membership and changes in noncommunicable disease risk factors: a comparative interrupted time-series analysis, 1980–2013 Krycia Cowling, Elizabeth A Stuart, Roni A Neff, Daniel Magraw, Jon Vernick & Keshia Pollack Porter Objective To investigate the relationship between joining the World Trade Organization (WTO) and the availability of several commodities with both harmful and protective effects for the development of noncommunicable diseases. Methods We used a natural experiment design to compare trends in the domestic supply of tobacco, alcohol and seven food groups, between 1980 and 2013, in 21 countries or territories joining WTO after 1995 and 26 non-member countries, using propensity score weights. We applied a comparative interrupted time-series framework, by using multivariate random-effects linear models, adjusted for gross domestic product per capita, the percentages of urban population and female labour force participation.
Language:English
Score: 1169447.7 - https://www.who.int/bulletin/volumes/97/2/18-218057-ab/en/
Data Source: un
عربي 中文 English Français Русский Español Home Health Topics All topics » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Resources » Fact sheets Facts in pictures Multimedia Publications Questions & answers Tools and toolkits Popular » Coronavirus disease (COVID-19) Ebola virus disease Air pollution Hepatitis Top 10 causes of death World Health Assembly » Countries All countries » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Regions » Africa Americas South-East Asia Europe Eastern Mediterranean Western Pacific WHO in countries » Statistics Cooperation strategies Democratic Republic of the Congo »   Newsroom All news » News releases Statements Campaigns Commentaries Events Feature stories Speeches Spotlights Newsletters Photo library Media distribution list Headlines » Timeline: WHO's COVID-19 response »   Emergencies Focus on » COVID-19 pandemic Ebola virus disease outbreak DRC 2021 Syria crisis Crisis in Northern Ethiopia Afghanistan Crisis Latest » Disease Outbreak News Travel advice Situation reports Weekly Epidemiological Record WHO in emergencies » Surveillance Research Funding Partners Operations Independent Oversight and Advisory Committee Coronavirus disease outbreak (COVID-19) » WHO © Credits Data Data at WHO » Global Health Estimates Health SDGs Mortality Triple billion targets Data collections Dashboards » COVID-19 Dashboard Triple Billion Dashboard Health Equity monitor Mortality Highlights » GHO SCORE Insights and visualizations Data collection tools Reports World Health Statistics 2021 » WHO © Credits About WHO About WHO » People Teams Structure Partnerships Collaborating Centres Networks, committees and advisory groups Transformation Contact us » Governance » World Health Assembly Executive Board Election of Director-General Governing Bodies website Our Work » General Programme of Work WHO Academy Activities Initiatives Better health for everyone » WHO © Credits Skip to main content Access Home Alt+0 Navigation Alt+1 Content Alt+2 Bulletin of the World Health Organization Menu Bulletin Past issues Information for contributors Editorial members How to order About the Bulletin Disclaimer Ward-based clinical pharmacists and hospital readmission: a non-randomized controlled trial in Sri Lanka Lelwala Guruge Thushani Shanika, Shaluka Jayamanne, Chandrani Nirmala Wijekoon, Judith Coombes, Dhineli Perera, Fahim Mohamed, Ian Coombes, Hithanadura Asita De Silva & Andrew Hamilton Dawson Objective To assess if a ward-based clinical pharmacy service resolving drug-related problems improved medication appropriateness at discharge and prevented drug-related hospital readmissions. (...) Resolutions of drug-related problems were higher in the intervention group than in the control group (57.6%; 592/1027, versus 13.2%; 161/1217; P  < 0.001) and="" the="" medication="" was="" more="" appropriate="" in="" the="" intervention="" group.="" mean="" score="" of="" medication="" appropriateness="" index="" per="" patient="" was="" 1.25="" versus="" 4.3="" in="" the="" control="" group=""> P  < 0.001). patients="" in="" the="" intervention="" group="" were="" less="" likely="" to="" be="" readmitted="" due="" to="" drug-related="" problems="" (44="" patients="" of="" 311="" versus="" 93="" of="" 311="" in="" the="" control="" group;=""> P  <> Conclusion A ward-based clinical pharmacy service improved appropriate prescribing, reduced drug-related problems and readmissions for patients with noncommunicable diseases.
Language:English
Score: 1169447.7 - https://www.who.int/bulletin/volumes/96/3/17-198366-ab/en/
Data Source: un
For instance, 138 predicted label is independent of their protected a machine learning algorithm for extending credit attributes. However, even if protected attributes may be trained using initial data that indicates that a 131 are not explicitly included, correlated attributes certain group (e.g., from a particular postcode or of a (proxies) may be included in the data set, resulting particular gender or race) tends to have less reliable in outcomes that may be discriminatory. (...) If the model were to extend credit to other this in machine learning is challenging, but tests have groups, then a self-fulfilling prophecy may result been developed to assess the impact of an automat- whereby the characteristics of successful debtors ed decision on different protected groups. 132 correlate with non-membership of the protected In some countries, where bias is unintentional, group. Incorporating an element of randomness into it may nevertheless be unlawful if it has “disparate the model so that some individuals who would not impact,” which arises where the outcomes from a ordinarily be predicted to be reliable debtors never- selection process are widely different for a protect- theless receive credit could allow the model to test ed class of persons (e.g., by gender, race or ethnicity the validity of the initial assumptions.
Language:English
Score: 1169447.7 - https://www.itu.int/en/publica...t/files/basic-html/page29.html
Data Source: un
Digital Credit Technologies and Financial Inclusion TALA | Digital Credit Technologies and Financial Inclusion Building the Future of Finance About Tala We are a financial technology company on a mission to enable and accelerate financial health for all. We use mobile technology and data science to make financial services simple, inclusive, and accessible. TALA | Digital Credit Technologies and Financial Inclusion About Tala Credit Product Our first product is an Android app that offers instant credit and personalized financial education in Kenya, the Philippines, Mexico, and India. (...) Advice covers credit, budgeting and saving, goal setting, and more.
Language:English
Score: 1168750.7 - https://www.itu.int/en/ITU-T/w.../Documents/Diana%20Wanjuhi.pdf
Data Source: un
Training Series Performance scoring Economic Resilience Building Plan Visioning and performance target setting 1 2Data collection Data analysis and interpretation 3 4 Economic Resilience Performance report 5 6 Action planning 7 RESILIENCE DIAGNOSTIC RESILIENCEPLANNING 8 Implementation, monitoring and review Implementation steps Establish a multi- stakeholder Task Force Training Series Implementation approach Phase/task Approach Methods PHASE 1. DIAGNOSTIC 1.1 Collection of data Desk review and field research • Review of administrative data and other existing research • Quick surveys where relevant and feasible • Expert panels • Key informant interviews • Focus groups 1.2 Interpretation of data and performance scoring One or more workshops or a series of engagements with individual experts • Online or face-to-face Delphi process on urban economic diagnostic PHASE 2. (...) A B C D F Training Series Example of performance scoring matrix (RPI 3 -4) A B C D F City share of the local financial market City’s share of the local financial market is high (10% or more) City’s share of the local financial market is relatively high (7-10%) City’s share of the local financial market is average (3-6%) City’s share of the local financial market is below 3%) City’s doesn’t have a share of the local financial market City cre d it ra ting Very high credit rating (AAA-AA) High credit rating (A-BBB) Average credit rating (BB-B) Low credit rating (C) Default (D) City aud it pe rform ance Unqualified audit opinion over the last three years Unqualified audit opinion for at least 2 years out of the last three and no adverse opinion Unqualified audit opinion for one year out of the last three and no adverse opinion Qualified opinions for all three years or one adverse opinion More than one adverse opinions COVID-19 im pact on the city financial he alth and stab ility City revenues increased or insignificantly reduced (up to 5%) City revenues somewhat decreased (by 6- 15%) City revenues decreased (by 16- 30%) City revenues significantly decreased (by 36- 50%) City revenues decreased very significantly above 50% FIND OUT MORE https://urbanresiliencehub.org/urban -economic - resilience -covid -19/ #UrbanResilience / uresiliencehub Thank you!
Language:English
Score: 1163966.2 - https://unece.org/sites/defaul...ng%20Content%20UNCDF%20ENG.pdf
Data Source: un
عربي 中文 English Français Русский Español Home Health Topics All topics » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Resources » Fact sheets Facts in pictures Multimedia Publications Questions & answers Tools and toolkits Popular » Coronavirus disease (COVID-19) Ebola virus disease Air pollution Hepatitis Top 10 causes of death World Health Assembly » Countries All countries » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Regions » Africa Americas South-East Asia Europe Eastern Mediterranean Western Pacific WHO in countries » Statistics Cooperation strategies Democratic Republic of the Congo »   Newsroom All news » News releases Statements Campaigns Commentaries Events Feature stories Speeches Spotlights Newsletters Photo library Media distribution list Headlines » Timeline: WHO's COVID-19 response »   Emergencies Focus on » COVID-19 pandemic Ebola virus disease outbreak DRC 2021 Syria crisis Crisis in Northern Ethiopia Afghanistan Crisis Latest » Disease Outbreak News Travel advice Situation reports Weekly Epidemiological Record WHO in emergencies » Surveillance Research Funding Partners Operations Independent Oversight and Advisory Committee Coronavirus disease outbreak (COVID-19) » WHO © Credits Data Data at WHO » Global Health Estimates Health SDGs Mortality Triple billion targets Data collections Dashboards » COVID-19 Dashboard Triple Billion Dashboard Health Equity monitor Mortality Highlights » GHO SCORE Insights and visualizations Data collection tools Reports World Health Statistics 2021 » WHO © Credits About WHO About WHO » People Teams Structure Partnerships Collaborating Centres Networks, committees and advisory groups Transformation Contact us » Governance » World Health Assembly Executive Board Election of Director-General Governing Bodies website Our Work » General Programme of Work WHO Academy Activities Initiatives Better health for everyone » WHO © Credits Skip to main content Access Home Alt+0 Navigation Alt+1 Content Alt+2 e-Library of Evidence for Nutrition Actions (eLENA) Menu eLENA A-Z list of interventions Health conditions Life course Nutrients Intervention type Interventions by category Global targets About eLENA How to use eLENA Home fortification of foods with multiple micronutrient powders for health and nutrition in children under two years of age Systematic review summary This document is a summary of findings and some data presented in the systematic review may therefore not be included. (...) Co-interventions such as education were included only if they were the same in both the intervention and comparison groups (Trials of lipid-based supplements, crushable micronutrient tablets and fortified complementary foods or other fortified foods were excluded) 3.4 Primary outcomes Anaemia (haemoglobin <110 g/L) Iron deficiency (as defined by trial authors) Haemoglobin concentrations (g/L) Iron status (as defined by trial authors) Weight-for-age Z-scores All-cause mortality Secondary outcomes included length-for-age Z-scores, weight-for-height Z-scores, all-cause morbidity, side-effects, diarrhoea, upper respiratory tract infections, ear infections, iron overload, serum retinol (μmol/L) and zinc (g/dL) concentrations, mental and motor skill development, and malaria incidence and severity 4. (...) Iron status Children in the MNP treatment group had higher ferritin concentrations at follow-up than those not receiving treatment, MD 20.38 ng/mL, 95% CI [6.27 to 34.49], p=0.0046; 2 trials/264 children. Weight-for-age Z-scores In two trials (304 infants) with a duration of six to 12 months, no treatment effect of MNP was found (RR 0.00 weight-for-age Z-score, 95% CI [-0.37 to 0.37], p=0.99).
Language:English
Score: 1157255.5 - https://www.who.int/elena/titl...iew_summaries/mmp-children/en/
Data Source: un
., Informed Consent: How do we Make it Work for Mobile Credit Scoring? (2014) http:// www. cgap. org/ sites/ default/ files/ Working- Paper- Informed- Consent- in- Mobile- Credit- Scoring- Aug- 2014. pdf 92     93     94     95     96     97     98     99     100     101     102     103          
Language:English
Score: 1156068.6 - https://www.itu.int/en/publica...s/files/basic-html/page98.html
Data Source: un
Select language Select language English Home Health Topics All topics » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Resources » Fact sheets Facts in pictures Multimedia Publications Questions & answers Tools and toolkits Popular » Air pollution Coronavirus disease (COVID-19) Ebola virus disease Hepatitis Monkeypox Countries All countries » A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Regions » Africa Americas South-East Asia Europe Eastern Mediterranean Western Pacific WHO in countries » Statistics Cooperation strategies Ukraine emergency Newsroom All news » News releases Statements Campaigns Commentaries Events Feature stories Speeches Spotlights Newsletters Photo library Media distribution list Headlines » Emergencies Focus on » Afghanistan crisis COVID-19 pandemic Northern Ethiopia crisis Syria crisis Ukraine emergency Latest » Disease Outbreak News Travel advice Situation reports Weekly Epidemiological Record WHO in emergencies » Surveillance Research Funding Partners Operations Independent Oversight and Advisory Committee Data Data at WHO » Global Health Estimates Health SDGs Mortality Database Data collections Dashboards » COVID-19 Dashboard Triple Billion Dashboard Health Equity Monitor Highlights » Global Health Observatory SCORE Insights and visualizations Data collection tools Reports » World Health Statistics 2022 COVID excess deaths DDI IN FOCUS: 2022 About WHO About WHO » People Teams Structure Partnerships Collaborating centres Networks, committees and advisory groups Transformation Our Work » General Programme of Work WHO Academy Activities Initiatives Funding » Investment case WHO Foundation Accountability » Audit Budget Financial statements Programme Budget Portal Results Report Governance » World Health Assembly Executive Board Election of Director-General Governing Bodies website Home / Activities / Integrating rehabilitation into health systems Sebastian Liste / NOOR for WHO © Credits Integrating rehabilitation into health systems Rehabilitation is an essential health service, alongside prevention, promotion, treatment and palliation. (...) Sebastian Liste / NOOR for WHO © Credits Leadership and governance Sebastian Liste / NOOR for WHO © Credits Financing Sebastian Liste / NOOR for WHO © Credits Service delivery Sebastian Liste / NOOR for WHO © Credits Workforce Sebastian Liste / NOOR for WHO © Credits Assistive technology WHO / Blink Media - Amanda Mustard © Credits Information Regions Africa Americas Eastern Mediterranean Europe South-East Asia Western Pacific Policies Cyber security Ethics Permissions and licensing Preventing sexual exploitation Terms of use About us Careers Library Procurement Publications Frequently asked questions Contact us Subscribe to our newsletters Privacy Legal Notice © 2022 WHO
Language:English
Score: 1147257 - https://www.who.int/activities...bilitation-into-health-systems
Data Source: un
 Page 8 - FIGI - Use of telecommunications data for digital financial inclusion           Basic HTML Version Table of Contents View Full Version Page 8 - FIGI - Use of telecommunications data for digital financial inclusion P. 8 LIST OF FIGURES Figure 1 – Data Types in a Typical Telecom Provider, Source: Hitachi Vantara and Ravi Kalakota, Transform Telecom: A Data-Driven Strategy for Digital Transformation, June 2019 10 Figure 2 – Development of credit scores with telco data using Machine Learning and agile methodology in Brazil.
Language:English
Score: 1147063.6 - https://www.itu.int/en/publica...on/files/basic-html/page8.html
Data Source: un
. • Citizens’ report card – consumer perception on services – score sheet • Citizens Action – Lobby and advocacy with the utility managers – Bridging the gap – Urban areas • Gauge customer satisfaction then work backwards to benchmark- indicators related to customer satisfaction – dynamic from 15 to 24 hours of service. • Servicing the poor – how many of the new customers are from the poor neighbourhoods. • Gender in utility performance. ii) Benchmarking of individual managers • Efficient and effective use of resources • Capability to achieve performance targets Priority No. 2: i). (...) Financial viability of utilities – financial markets require credit rating of utilities • Possibility of bankability of utilities by local financial institutions • Commercial/financial institutions require credit rating of utilities. • Benchmarking/financial indicators to establish credit-worthiness of utilities.
Language:English
Score: 1145645.5 - https://www.un.org/esa/sustdev...esentations/working_group2.pdf
Data Source: un