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  1. 1541
    “…FUNDING: WHO, UNDP, UN Population Fund, UNICEF–WHO–World Bank Special Program of Research, Development and Research Training in Human Reproduction, Canadian Institute of Health Research, Fonds de recherche du Québec–Santé, Compute Canada, National Health and Medical Research Council Australia Centre for Research Excellence in Cervical Cancer Control.…”
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    Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries
  2. 1542
    Publicado 2020
    “…For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. …”
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    Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
  3. 1543
    “…FUNDING: WHO, UNDP, UN Population Fund, UNICEF–WHO–World Bank Special Program of Research, Development and Research Training in Human Reproduction, Germany Federal Ministry of Health, National Health and Medical Research Council Australia, Centre for Research Excellence in Cervical Cancer Control, Canadian Institute of Health Research, Compute Canada, and Fonds de recherche du Québec–Santé.…”
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    Mortality impact of achieving WHO cervical cancer elimination targets: a comparative modelling analysis in 78 low-income and lower-middle-income countries
  4. 1544
    por Li, You, Wang, Xin, Blau, Dianna M, Caballero, Mauricio T, Feikin, Daniel R, Gill, Christopher J, Madhi, Shabir A, Omer, Saad B, Simões, Eric A F, Campbell, Harry, Pariente, Ana Bermejo, Bardach, Darmaa, Bassat, Quique, Casalegno, Jean-Sebastien, Chakhunashvili, Giorgi, Crawford, Nigel, Danilenko, Daria, Do, Lien Anh Ha, Echavarria, Marcela, Gentile, Angela, Gordon, Aubree, Heikkinen, Terho, Huang, Q Sue, Jullien, Sophie, Krishnan, Anand, Lopez, Eduardo Luis, Markić, Joško, Mira-Iglesias, Ainara, Moore, Hannah C, Moyes, Jocelyn, Mwananyanda, Lawrence, Nokes, D James, Noordeen, Faseeha, Obodai, Evangeline, Palani, Nandhini, Romero, Candice, Salimi, Vahid, Satav, Ashish, Seo, Euri, Shchomak, Zakhar, Singleton, Rosalyn, Stolyarov, Kirill, KStoszek, Sonia, von Gottberg, Anne, Wurzel, Danielle, Yoshida, Lay-Myint, Yung, Chee Fu, Zar, Heather J, Nair, Harish
    Publicado 2022
    “…We applied a generalised linear mixed-effects model (GLMM) to estimate RSV-associated acute lower respiratory infection incidence, hospital admission, and in-hospital mortality both globally and regionally (by country development status and by World Bank Income Classification) in 2019. We estimated country-level RSV-associated acute lower respiratory infection incidence through a risk-factor based model. …”
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    Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in children younger than 5 years in 2019: a systematic analysis
  5. 1545
    “…SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), 2016, Issue 3, part of the Cochrane Library (searched 8 March 2016); MEDLINE, OvidSP (searched 8 March 2016); Embase, OvidSP (searched 24 April 2014); PubMed (NCBI) (searched 8 March 2016); Dissertations and Theses Database, ProQuest (searched 8 March 2016); Conference Proceedings Citation Index (ISI Web of Science) (searched 8 March 2016); IDEAS (searched 8 March 2016); EconLit, ProQuest (searched 8 March 2016); POPLINE, K4Health (searched 8 March 2016); China National Knowledge Infrastructure (searched 8 March 2016); Chinese Medicine Premier (searched 8 March 2016); OpenGrey (searched 8 March 2016); ClinicalTrials.gov, US National Institutes of Health (NIH) (searched 8 March 2016); World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (searched 8 March 2016); and the website of the World Bank (searched 8 March 2016). In addition, we searched the reference lists of included studies and carried out a citation search for the included studies via ISI Web of Science to find other potentially relevant studies. …”
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    Payment methods for outpatient care facilities
  6. 1546
    “…RESEARCH OBJECTS AND METHODS: Based on the subjective survey data of Chinese enterprises by the world bank, taking the intensity of enterprise innovation output as the dependent variable and the degree of enterprise informatization as the core independent variable. …”
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    INCENTIVE EFFECT AND EMOTION REGULATION OF INFORMATION TECHNOLOGY ON INNOVATION BEHAVIOR
  7. 1547
    “…LMIC were defined by the World Bank Group at the time of the search for this review. …”
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    Effects of vitamin and mineral supplementation during pregnancy on maternal, birth, child health and development outcomes in low‐ and middle‐income countries: A systematic review
  8. 1548
    “…No subgroups were reported for comorbidity status and World Bank country classification by income level. No subgroups were reported for other outcomes. …”
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    Nirmatrelvir combined with ritonavir for preventing and treating COVID‐19
  9. 1549
    “…Country income was determined according to the World Bank Data. COVID-19 severity was classified according to the World Health Organization criteria. …”
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    COVID-19 in Patients with Chronic Myeloid Leukemia: Poor Outcomes for Patients with Comorbidities, Older Age, Advanced Phase Disease, and Those from Low-Income Countries: An Update of the Candid Study
  10. 1550
    Publicado 1990
    Tabla de Contenidos: “…[International monetary fund and world bank: instruments of financial power] / Samuel Lichtensztejin -- [v. 61]. …”
    Libro
    [Libros del centro de estudios China - Veracruz]
  11. 1551
    “…Our approach shows promising results on a real-world banking use case and acts as the foundation for the development of further BFM banking microservices, such as transaction fraud detection and budget monitoring.…”
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    Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach
  12. 1552
    “…This study therefore introduces a novel two-staged model combining artificial neural networks and random forests to reveal the importance of internal and external factors influencing firms´ innovation performance in the case of 3,361 firms from six catching-up CEE countries (Czech Republic, Slovakia, Poland, Estonia, Latvia and Lithuania), by using the World Banks´ Enterprise Survey data from 2019. We confirm the hypothesis that innovators in the catching-up CEE countries depend more on internal knowledge sources and, moreover, that participation in the firms groups represents an important factor of firms´ innovation. …”
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    The role of foreign technologies and R&D in innovation processes within catching-up CEE countries
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