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1341por Shi, Yuqing, Chen, Zhe, Zou, Kun, Zhang, Miao, Liu, Zheng, Liu, Dan, Zeng, Linan, Li, Hailong, Jia, Zhi-Jun, Cheng, Guo, Tang, Yong, Zhao, Shaoyang, Jiang, Yongmu, Choonara, Imti, Zhang, Lingli“…Globally, the average availability rates of EMC were 39.0% (95%CI: 35.5-42.5%) in 2009–2015 and 43.1% (95%CI: 40.1-46.2%) in 2016–2020. Based on the World Bank classification of economic regions, income was not proportional to availability. …”
Publicado 2023
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1342por Antillón, Marina, Li, Xiao, Willem, Lander, Bilcke, Joke, Jit, Mark, Beutels, Philippe“…Globally, evidence shows that community-based incidence may differ by World Bank Income Group, but not hospital-based incidence, probability of hospitalization, or the probability of in-hospital death (p ≤ 0.01, p = 1, p = 0.86, 0.63, respectively). …”
Publicado 2023
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1343por Theilmann, Michaela, Lemp, Julia M, Winkler, Volker, Manne-Goehler, Jennifer, Marcus, Maja E., Probst, Charlotte, Lopez-Arboleda, William A, Ebert, Cara, Bommer, Christian, Mathur, Maya, Andall-Brereton, Glennis, Bahendeka, Silver K, Bovet, Pascal, Farzadfar, Farshad, Ghasemi, Erfan, Mayige, Mary T, Saeedi Moghaddam, Sahar, Mwangi, Kibachio J, Naderimagham, Shohreh, Sturua, Lela, Atun, Rifat, Davies, Justine I, Bärnighausen, Till, Vollmer, Sebastian, Geldsetzer, Pascal“…OBJECTIVES: To determine the prevalence and frequency of using any tobacco product and each of a detailed set of tobacco products, how tobacco use and use frequency vary across countries, world regions, and World Bank country income groups, and the socioeconomic and demographic gradients of tobacco use and use frequency within countries. …”
Publicado 2022
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1344por Petrucci, Beatriz, Okerosi, Samuel, Patterson, Rolvix H., Hobday, Sara B., Salano, Valerie, Waterworth, Christopher J., Brody, Robert M., Sprow, Holly, Alkire, Blake C., Fagan, Johannes J., Tamir, Sharon Ovnat, Der, Carolina, Bhutta, Mahmood F., Maina, Ivy W., Pang, Jonathan C., Daudu, Davina, Mukuzi, Allan G., Srinivasan, Tarika, Pietrobon, Carolina A., Hao, Sheng-Po, Nakku, Doreen, Seguya, Amina, Din, Taseer F., Mbougo, Olga Djoutsop, Mokoh, Lilian W., Jashek-Ahmed, Farizeh, Law, Tyler J., Holt, Elizabeth A., Bangesh, Ali Haider, Zemene, Yilkal, Ibekwe, Titus S., Diallo, Oumar Raphiou, Alvarado, Jaqueline, Mulwafu, Wakisa K., Fenton, John E., Agius, Adrian M., Doležal, Pavel, Mudekereza, Édouard Amani, Mojica, Karen M., Rueda, Ricardo Silva, Xu, Mary Jue“…The OHNS clinician density varied by World Bank income group with higher-income countries associated with a higher density of clinicians. …”
Publicado 2023
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1345por Haakenstad, Annie, Bintz, Corinne, Knight, Megan, Bienhoff, Kelly, Chacon-Torrico, Horacio, Curioso, Walter H, Dieleman, Joseph L, Gage, Anna, Gakidou, Emmanuela, Hay, Simon I, Henry, Nathaniel J, Hernández-Vásquez, Akram, Méndez Méndez, Judith S, Villarreal, Héctor J, Lozano, Rafael“…Data for 2004–20 were obtained from individual and household level survey microdata (available for Mexico and Peru only), and tabulated data from the National Statistical Committee of Belarus and the World Bank Health Equity and Financial Protection Indicator database (for Viet Nam and Russia). …”
Publicado 2023
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1346por Averbuch, Tauben, Esfahani, Meisam, Khatib, Rani, Kayima, James, Miranda, Juan Jaime, Wadhera, Rishi K., Zannad, Faiez, Pandey, Ambarish, Van Spall, Harriette G. C.“…We sampled online or community pharmacies in 10 countries across a range of World Bank income groups, assessing mean 30 day retail prescription prices, affordability relative to gross national income per capita per month, and accessibility. …”
Publicado 2023
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1347por Algera, Marc Daniël, Morton, Rhett, Sundar, Sudha S, Farrell, Rhonda, van Driel, Willemien J, Brennan, Donal, Rijken, Marcus J, Sfeir, Selina, Allen, Lucy, Eiken, Mary, Coleman, Robert L“…Outcomes were stratified by World Bank Income category and analyzed using descriptive statistics and logistic regressions. …”
Publicado 2023
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1348Publicado 2023“…Approximately 313 million surgical procedures are performed worldwide annually, with millions of patients experiencing health benefits while many suffer perioperative complications and harm. World Bank estimations show over 7 million people suffering surgical complications annually, with 4.2 million deaths occurring within 30 days of surgery, placing perioperative mortality as the third most common cause of death. …”
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1349por Witt, Katrina, McGill, Katie, Leckning, Bernard, Hill, Nicole T.M., Davies, Benjamin M., Robinson, Jo, Carter, Gregory“…Samples were drawn from 44 different countries. According to World Bank classifications, most (83.7%) samples were from high income countries. …”
Publicado 2023
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1350por Roddy Mitchell, Alexandra, Gordon, Hannah, Atkinson, Jessica, Lindquist, Anthea, Walker, Susan P., Middleton, Anna, Tong, Stephen, Hastie, Roxanne“…STUDY SELECTION: Studies conducted in World Bank–defined LMICs and reporting prevalence of generalized anxiety disorder, obsessive-compulsive disorder, social anxiety disorder, posttraumatic stress disorder, panic disorder, or adjustment disorder during the perinatal period (conception to 12 months post partum) using a validated method were included. …”
Publicado 2023
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1351por Audureau, Etienne, Kahn, James G, Besson, Marie-Hélène, Saba, Joseph, Ladner, Joël“…Data on program-level determinants were drawn from the initial application forms, and country-level determinants from the Demographic and Health Surveys (DHS) and the World Bank (World Development Indicators). Multilevel linear mixed models were used to identify independent factors associated with NCR at the site-, program- and country-level. …”
Publicado 2013
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1352“…Prices were adjusted for inflation and the World Bank purchasing power parity, and standardised to the international dollar (defined as US$1) in 2011. …”
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1353por Kirigia, Joses Muthuri, Mwabu, Germano Mwige, Orem, Juliet Nabyonga, Muthuri, Rosenabi Deborah Karimi“…Estimates on maternal mortality for 2010 from Trends in maternal mortality: 1990 to 2010 published by WHO, UNICEF, UNFPA and the World Bank were used in these calculations. Values for future non-health GDP lost were converted into their present values by applying a 3% discount rate. …”
Publicado 2014
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1354por Kirigia, Joses Muthuri, Masiye, Felix, Kirigia, Doris Gatwiri, Akweongo, Patricia“…CONCLUSION: In spite of alluded limitations, the estimates of human and economic losses reported in this paper, in addition to those projected by the World Bank, show that EVD imposes a significant economic burden on the affected West African countries. …”
Publicado 2015
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1355por Johnson, Lucinda E. A., Muir-Paulik, Sarah A., Kennedy, Pam, Lindstrom, Steven, Balish, Amanda, Aden, Tricia, Moen, Ann C.“…All data was further stratified by World Bank country income category. RESULTS: At follow-up, 81 % of 614 recommendations were either complete (350) or in-progress (145) for 32 laboratories (91 % response rate). …”
Publicado 2015
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1356por Boutayeb, Wiam, Lamlili, Mohamed, Maamri, Abdellatif, Ben El Mostafa, Souad, Boutayeb, Abdesslam“…METHOD: We used data provided by national surveys over the last decades, information released on the website of the Ministry of Health, documentation published by the Moroccan government and international reports and studies related to Morocco and published by international bodies like the World Health Organisation, United Nations Development Programme, United Nations Population Fund, UNICEF, UNESCO and the World Bank. A short review of scientific publications was also carried out in order to select papers published on health equity, social determinants, health system and interventions in primary health in Morocco. …”
Publicado 2016
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1357por Rios-Diaz, Arturo J., Lam, Jimmy, Ramos, Margarita S., Moscoso, Andrea V., Vaughn, Patrick, Zogg, Cheryl K., Caterson, Edward J.“…National locations were used to classify publications based on the 2014 World Bank income stratification scheme into: low-, lower-middle-, upper-middle-, or high-income countries. …”
Publicado 2016
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1358por Fountoulakis, Konstantinos N., Chatzikosta, Isaia, Pastiadis, Konstantinos, Zanis, Prodromos, Kawohl, Wolfram, Kerkhof, Ad J. F. M., Navickas, Alvydas, Höschl, Cyril, Lecic-Tosevski, Dusica, Sorel, Eliot, Rancans, Elmars, Palova, Eva, Juckel, Georg, Isacsson, Goran, Jagodic, Helena Korosec, Botezat-Antonescu, Ileana, Rybakowski, Janusz, Azorin, Jean Michel, Cookson, John, Waddington, John, Pregelj, Peter, Demyttenaere, Koen, Hranov, Luchezar G., Stevovic, Lidija Injac, Pezawas, Lucas, Adida, Marc, Figuera, Maria Luisa, Jakovljević, Miro, Vichi, Monica, Perugi, Giulio, Andreassen, Ole A., Vukovic, Olivera, Mavrogiorgou, Paraskevi, Varnik, Peeter, Dome, Peter, Winkler, Petr, Salokangas, Raimo K. R., From, Tiina, Danileviciute, Vita, Gonda, Xenia, Rihmer, Zoltan, Forsman, Jonas, Grady, Anne, Hyphantis, Thomas, Dieset, Ingrid, Soendergaard, Susan, Pompili, Maurizio, Bech, Per“…METHODS: Data from 29 European countries covering the years 2000–2012 and concerning male and female standardized suicidal rates (according to WHO), economic variables (according World Bank) and climate variables were gathered. The statistical analysis included cluster and principal component analysis and categorical regression. …”
Publicado 2016
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1359por Bishwajit, Ghose, O’Leary, Daniel Peter, Ghosh, Sharmistha, Yaya, Sanni, Shangfeng, Tang, Feng, Zhanchun“…Subjects were 7204 men and women aged above 50 years from Bangladesh, India, Nepal and Sri Lanka, all of which are classified as Low-and-middle-income countries (LMICs) in World Bank reports. Outcome variables were self-ported depression (SRD) and ever being diagnosed with depression. …”
Publicado 2017
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1360“…In order to obtain comprehensive data on the total number of mHelath programs implemented between 2006 and 2016 in each of the 48 sub-Saharan Africa countries, we performed a systematic data collection from various sources, including: the WHO eHealth Database, the World Bank Projects & Operations Database, and the USAID mHealth Database. …”
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