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1101por Kayode, Gbenga Ayodele, Grobbee, Diederick E, Amoakoh-Coleman, Mary, Ansah, Evelyn, Uthman, Olalekan A, Klipstein-Grobusch, Kerstin“…METHODS: This ecological study used 2012 publicly available data from WHO, the US Agency for International Development and the World Bank. Variation in neonatal mortality across 49 SSA countries was examined using control chart and explanatory spatial data analysis. …”
Publicado 2017
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1102por Habtamu, Esmael, Wondie, Tariku, Aweke, Sintayehu, Tadesse, Zerihun, Zerihun, Mulat, Melak, Berhanu, Gashaw, Bizuayehu, Callahan, Kelly, Emerson, Paul M., Bailey, Robin L., Mabey, David C.W., Rajak, Saul N., Kuper, Hannah, Polack, Sarah, Macleod, David, Weiss, Helen A., Burton, Matthew J.“…The ‘Stylised Activity List’ tool, developed for the World Bank Living Standard Measurement Survey, was adapted to collect data on activity in the last week (participation in activity, difficulty with activity, requirement of assistance for activity), at baseline and 12 months later. …”
Publicado 2017
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1103por Guest, Glenn Douglas, McLeod, Elizabeth, Perry, William R G, Tangi, Vilami, Pedro, Joao, Ponifasio, Ponifasio, Hedson, Johnny, Tudravu, Jemesa, Pikacha, Douglas, Vreede, Eric, Leodoro, Basil, Tapaua, Noah, Kong, James, Oten, Bwabwa, Teapa, Deacon, Korin, Stephanie, Wilson, Leona, Mesol, Samson, Tuneti, Kabiri, Meara, John G, Watters, David A“…These indicators have subsequently been accepted by the World Bank for inclusion in the World Development Indicators. …”
Publicado 2017
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1104por Islam, Rakibul M, Oldroyd, John, Karim, Md Nazmul, Hossain, Sultana Monira, Md Emdadul Hoque, Dewan, Romero, Lorena, Fisher, Jane“…Inclusion criteria will be observational studies of healthy women, which have collected data using validated or non-validated tools, are published in English and were conducted in community women in LMICs, defined by the World Bank. A standardised data extraction form will be developed and piloted, based on the template of the Cochrane good practice data extraction form. …”
Publicado 2017
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1105por Halpaap, Béatrice, Vahedi, Mahnaz, Certain, Edith, Alvarado, Tini, Saint Martin, Caroline, Merle, Corinne, Mihut, Michael, Launois, Pascal“…The Special Programme for Research and Training in Tropical Diseases (TDR) co-sponsored by UNICEF, UNDP, World Bank and WHO has been supporting research capacity strengthening in low- and middle-income countries for over 40 years. …”
Publicado 2017
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1106“…METHODS: Ten electronic databases were searched to retrieve studies of any epidemiological design, published between 1990-March 2016 with data comparing the level of poverty between people with and without disabilities in LMICs (World Bank classifications). Poverty was defined using economic measures (e.g. assets, income), while disability included both broad assessments (e.g. self-reported functional or activity limitations) and specific impairments/disorders. …”
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1107“…To test for country level predictors, we drew on data from UNICEF, WHO, and the World Bank. Random effects meta-regression was used to test national predictors of PPD prevalence. …”
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1108“…METHODS: Register-based ecological study linking data from Global Burden of Disease Study with the United Nations Statistics Division for population and World Bank definition for country income level. Road traffic injury mortality rates and disability-adjusted life years were compiled for all ages at country level in 1995, 2005, 2015 and combined for a regional average (n = 22) and a global average (n = 122). …”
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1109por Amoah, Benjamin, Giorgi, Emanuele, Heyes, Daniel J., van Burren, Stef, Diggle, Peter John“…Finally, we carry out a meta-analysis by modelling the estimated effects of malaria incidence on HAZ from each DHS as a linear regression on national development indicators from the World Bank. RESULTS: A non-spatial univariate linear regression of HAZ on malaria incidence showed a negative association in 18 out of 20 surveys. …”
Publicado 2018
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1110por Allen, Luke N, Pullar, Jessica, Wickramasinghe, Kremlin Khamarj, Williams, Julianne, Roberts, Nia, Mikkelsen, Bente, Varghese, Cherian, Townsend, Nick“…METHODS: We searched 13 major databases and included papers conducted in the 83 World Bank-defined LLMICs, published between 1 January 1990 and 5 February 2015. …”
Publicado 2018
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1111“…We used a combination of database-specific medical subject headings and keywords for care models, CKD and LMICs as defined by the World Bank. RESULTS: Of 3367 retrieved articles, we reviewed the full text of 104 and identified 17 articles describing 16 programmes from 10 countries for inclusion. …”
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1112por Islam, Md Shariful, Mondal, Md Nazrul Islam, Tareque, Md Ismail, Rahman, Md Aminur, Hoque, Md Nazrul, Ahmed, Md Munsur, Khan, Hafiz T. A.“…METHODS: In accordance with the World Bank (WB) classification seventy-nine low- and lower-middle-income countries were selected for the study. …”
Publicado 2018
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1113por Joseph, Gary, da Silva, Inácio C. M., Fink, Günther, Barros, Aluisio J. D., Victora, Cesar G.“…Data on household income were computed using national income levels and income inequality data available from the World Bank and the Standardized World Income Inequality Database. …”
Publicado 2018
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1114por Kajawo, Shepherd, Moloi, Mothusi Walter, Noubiap, Jean Jacques, Ekrikpo, Udeme, Kengne, Andre Pascal, Okpechi, Ikechi G“…METHODS AND ANALYSIS: We will include studies of populations from LMIC as per World Bank 2017 country list. Relevant abstracts published from 1 January 1980 to 30 December 2017 will be searched in PubMed, Cochrane, Excerpta Medica Database (Embase) and African Journals Online, without language restriction. …”
Publicado 2018
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1115“…Results will be stratified based on WHO, World Bank Group income and SDG regional groupings. …”
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1116“…International institutions such as G20, World Bank, World Health Organization (WHO), UN General Assembly, European Union, and the UK and USA governments are calling for new antibiotics. …”
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1117por Murphy, R., Stewart, A. W., Hancox, R. J., Wall, C. R., Braithwaite, I., Beasley, R., Mitchell, E. A.“…OBJECTIVES: To determine whether BMI distribution of children differs by gross national income (GNI) per capita and Gini index derived from World Bank data. METHODS: Secondary analysis of largely self‐reported height and weight data from a multi‐country, cross‐sectional study (ISAAC), of 77,963 children aged 6–7 (from 19 countries) and 205,388 adolescents aged 13–14 (from 36 countries), were used to examine underweight vs obesity prevalence and BMI distribution skewness, median and dispersion. …”
Publicado 2018
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1118“…Effective translation of the findings of health research into policy and the practice of medicine has been slow in many countries considered low or lower middle-income (as defined by the World Bank). This is because such countries often have health care systems that are under-resourced (e.g., lacking personnel or facilities) and thus insufficiently responsive to health needs of their populations. …”
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1119por Souza, JP, Oladapo, OT, Fawole, B, Mugerwa, K, Reis, R, Barbosa‐Junior, F, Oliveira‐Ciabati, L, Alves, D, Gülmezoglu, AM“…FUNDING: Bill & Melinda Gates Foundation, United States Agency for International Development (USAID), UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), and WHO (A65879). …”
Publicado 2018
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1120por Gebremedhin, Samson“…Additional data were obtained from the World Bank and the World Health Organization databases. …”
Publicado 2018
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