Výsledky vyhledávání - "Information Systems statistics & numerical data"
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Zdroj: Alberico, C O, Schipperijn, J & Reis, R S 2017, ' Use of global positioning system for physical activity research in youth : ESPAÇOS Adolescentes, Brazil ', Preventive Medicine, vol. 103, no. Supplement, pp. S59-S65 . https://doi.org/10.1016/j.ypmed.2016.12.026
Témata: Male, Built environment, Schools, Adolescent, Physical activity, Geographic Information Systems/statistics & numerical data, Research, 4. Education, Transportation, 16. Peace & justice, 3. Good health, Accelerometry/methods, Sedentary behavior, 03 medical and health sciences, Leisure Activities, 0302 clinical medicine, Accelerometry, Geographic Information Systems, Humans, Female, Self Report, Sedentary Behavior, Exercise, Brazil
Přístupová URL adresa: https://europepmc.org/articles/pmc5481504?pdf=render
https://pubmed.ncbi.nlm.nih.gov/28024861
http://europepmc.org/articles/PMC5481504
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481504
https://www.sciencedirect.com/science/article/pii/S0091743516304303
http://www.sciencedirect.com/science/article/pii/S0091743516304303
https://pubmed.ncbi.nlm.nih.gov/28024861/
https://core.ac.uk/display/80326706
https://portal.findresearcher.sdu.dk/da/publications/7e8d1ebd-6aca-428e-b269-e2a5a43d31d6 -
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Přispěvatelé: a další
Zdroj: Radiology. 280:108-116
Témata: Male, Prostate/pathology, Prostatic Neoplasms/pathology, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Preoperative Care, Humans, Magnetic Resonance Imaging/methods, Aged, Retrospective Studies, Prostatic Neoplasms/surgery, Radiology Information Systems/statistics & numerical data, Prostate/surgery, Prostate, Prostatic Neoplasms, Prostate/diagnostic imaging, Middle Aged, Magnetic Resonance Imaging, 3. Good health, Radiology Information Systems, Prostatic Neoplasms/diagnostic imaging, Preoperative Care/methods
Popis souboru: 108~116
Přístupová URL adresa: https://pubs.rsna.org/doi/pdf/10.1148/radiol.16151133
https://pubmed.ncbi.nlm.nih.gov/26836049
https://ir.ymlib.yonsei.ac.kr/handle/22282913/147099
https://mdanderson.elsevierpure.com/en/publications/prostate-cancer-pi-rads-version-2-helps-preoperatively-predict-cl
https://mdanderson.influuent.utsystem.edu/en/publications/prostate-cancer-pi-rads-version-2-helps-preoperatively-predict-cl
https://pubs.rsna.org/doi/full/10.1148/radiol.16151133
https://www.ncbi.nlm.nih.gov/pubmed/26836049
https://pubmed.ncbi.nlm.nih.gov/26836049/ -
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Zdroj: ISSN: 1088-9051.
Témata: MESH: Biomedical Research/methods, MESH: Biomedical Research/organization & administration, MESH: South Africa, MESH: Technology Transfer, MESH: Cooperative Behavior, MESH: Humans, MESH: Information Systems/organization & administration, MESH: Information Systems/statistics & numerical data, MESH: Interdisciplinary Communication, MESH: Malaria, Falciparum/parasitology, Falciparum/prevention & control, MESH: Plasmodium falciparum/physiology, [SDV]Life Sciences [q-bio]
Relation: info:eu-repo/semantics/altIdentifier/pmid/29650552; PUBMED: 29650552; PUBMEDCENTRAL: PMC5932615
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Zdroj: Public Health Reports®. 128:546-553
Témata: Indiana, Disease Notification -- standards, Disease Notification -- statistics & numerical data, 01 natural sciences, Clinical Laboratory Information Systems -- standards, 3. Good health, Clinical Laboratory Information Systems -- statistics & numerical data, 03 medical and health sciences, Wisconsin, 0302 clinical medicine, Research Design, Electronic Health Records -- standards, Electronic Health Records, Humans, Public Health Surveillance, 0101 mathematics, Clinical Laboratory Information Systems, Disease Notification
Popis souboru: application/pdf
Přístupová URL adresa: https://europepmc.org/articles/pmc3804098?pdf=render
https://pubmed.ncbi.nlm.nih.gov/24179266
https://journals.sagepub.com/doi/pdf/10.1177/003335491312800614
http://europepmc.org/article/PMC/3804098
https://journals.sagepub.com/doi/abs/10.1177/003335491312800614
http://journals.sagepub.com/doi/10.1177/003335491312800614
https://core.ac.uk/display/46960774
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804098 -
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Zdroj: Tidsskrift for Omsorgsforskning. 3(2):127
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Přispěvatelé:
Témata: Spatial Analysis, Autocorrelación espacial, Sistemas de Información Geográfica, Spatial analysis, Geographic Mapping, Análisis espacial, Sistemas de Información Geográfica - estadística & datos numéricos, 616 - Enfermedades [610 - Medicina y salud], Dengue - transmisión, Virus transmitidos por vectores, GIS, 614 - Medicina Forense, incidencia de lesiones, heridas, enfermedades, medicina preventiva pública [610 - Medicina y salud], Dengue, 526 - Geografía matemática [520 - Astronomía y ciencias afines], Salud pública, 006 - Métodos especiales de computación [000 - Ciencias de la computación, información y obras generales], Análisis Espacial, Mapeo Geográfico, Public Health, Geographic Information Systems - statistics & numerical data, Mosquito-borne virus, Dengue - transmission, Spatial autocorrelation
Popis souboru: xviii, 166 páginas; application/pdf
Přístupová URL adresa: https://repositorio.unal.edu.co/handle/unal/85362
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Přispěvatelé:
Témata: 610 - Medicina y salud::614 - Medicina Forense, incidencia de lesiones, heridas, enfermedades, medicina preventiva pública, 610 - Medicina y salud::616 - Enfermedades, 000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación, 520 - Astronomía y ciencias afines::526 - Geografía matemática, Salud pública, Dengue, Dengue - transmisión, Sistemas de Información Geográfica - estadística & datos numéricos, Mapeo Geográfico, Análisis Espacial, Public Health, Dengue - transmission, Geographic Information Systems - statistics & numerical data, Geographic Mapping, Spatial Analysis, Sistemas de Información Geográfica, Autocorrelación espacial, Virus transmitidos por vectores, Spatial autocorrelation, GIS, Mosquito-borne virus
Popis souboru: xviii, 166 páginas; application/pdf
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(2018). the Use of Geographic Information Systems in the Determination of Areas At Risk of Dengue in the São Paulo State. Geografia, 42(2), 121–134. https://doi.org/10.5016/geografia.v42i2.13075; AZEVEDO, T. S. de, & SALLUM, M. A. M. (2018). the Use of Geographic Information Systems in the Determination of Areas At Risk of Dengue in the São Paulo State. Geografia, 42(2), 121–134. https://doi.org/10.5016/geografia.v42i2.13075; Bisanzio, D., Dzul-Manzanilla, F., Gomez-Dantés, H., Pavia-Ruz, N., Hladish, T. J., Lenhart, A., Palacio-Vargas, J., González Roldan, J. F., Correa-Morales, F., Sánchez-Tejeda, G., Kuri Morales, P., Manrique-Saide, P., Longini, I. M., Halloran, M. E., & Vazquez-Prokopec, G. M. (2018). Spatio-temporal coherence of dengue, chikungunya and Zika outbreaks in Merida, Mexico. 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L., Chen, Y. H., Lin, C. Y., & Tsai, J. J. (2009). Effect of serotypes on clinical manifestations of dengue fever in adults. Journal of Microbiology, Immunology and Infection, 42(6), 471–478.; Chareonsook, O., Foy, H. M., Teeraratkul, A., & Silarug, N. (1999). Changing epidemiology of dengue hemorrhagic fever in Thailand. Epidemiology and Infection, 122(1), 161–166. https://doi.org/10.1017/S0950268898001617; Criollo Fonseca, I. Z., Bernal Barón, A. Y., & Castañeda Porras, O. (2014). Conocimientos , actitudes y prácticas sobre dengue , tras aplicación de estrategias de movilización social . Yopal-Casanare. Investigaciones Andina, 16(29), 1001–1015. http://www.redalyc.org/articulo.oa?id=239031678001; de Carvalho, R. M., & Nascimento, L. F. C. (2012). Distribuição espacial da dengue no município de Cruzeiro, estado de S̃o Paulo, Brasil: o uso do geoprocessamento. Revista Do Instituto de Medicina Tropical de Sao Paulo, 54(5), 261–266. https://doi.org/10.1590/S0036-46652012000500005; de Pina, M. D. F., Alves, S. F., Ribeiro, A. I. C., Olhero, A. C., Isabel, A., & Ribeiro, C. (2010). Epidemiología espacial: nuevos enfoques para viejas preguntas. Spatial Epidemiology: New Approaches to Old Questions Epidemiologia Espacial: Novas Abordagens Para Velhas Questões. (English), 29(63), 47–65. http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=60762721&site=ehost-live; Desjardins, M. R., Eastin, M. D., Paul, R., Casas, I., & Delmelle, E. M. (2020). Space-Time conditional autoregressive modeling to estimate neighborhood-level risks for dengue fever in Cali, Colombia. American Journal of Tropical Medicine and Hygiene, 103(5), 2040–2053. https://doi.org/10.4269/ajtmh.20-0080; Dhimal, M., Ahrens, B., & Kuch, U. (2015). Climate change and spatiotemporal distributions of vector-borne diseases in Nepal - A systematic synthesis of literature. PLoS ONE, 10(6), 1–31. https://doi.org/10.1371/journal.pone.0129869; Diptyanusa, A., Lazuardi, L., & Jatmiko, R. H. (2020). Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in southeast asia: A review based on the publication record. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.862; Dirección de Promoción y Prevención. (2022). Lineamiento para la gestión y operación de los programas de enfermedades transmitidas por vectores y zoonosis y otras consideraciones para la ejecución de transferencias nacionales de funcionamiento (p. 103). Ministerio de Salud y Protección Social.; Dzul-Manzanilla, F., Correa-Morales, F., Che-Mendoza, A., Palacio-Vargas, J., Sánchez-Tejeda, G., González-Roldan, J. F., López-Gatell, H., Flores-Suárez, A. E., Gómez-Dantes, H., Coelho, G. E., da Silva Bezerra, H. S., Pavia-Ruz, N., Lenhart, A., Manrique-Saide, P., & Vazquez-Prokopec, G. M. (2021). Identifying urban hotspots of dengue, chikungunya, and Zika transmission in Mexico to support risk stratification efforts: a spatial analysis. The Lancet Planetary Health, 5(5), e277–e285. https://doi.org/10.1016/S2542-5196(21)00030-9; Eisen, L., & Eisen, R. J. (2011). Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases. Annual Review of Entomology, 56, 41–61. https://doi.org/10.1146/annurev-ento-120709-144847; Eisen, L., & Lozano-Fuentes, S. (2009). Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue. PLoS Neglected Tropical Diseases, 3(4), 1–7. https://doi.org/10.1371/journal.pntd.0000411; Fábregas, R., González, E., & Neira, Y. (2023). Microfocalización y estratificación epidemiológica de la leishmaniasis cutánea en el departamento de Santander, periodo 2010 – 2020. Revista de Investigación En Salud, 10, 1–28. https://revistasdigitales.uniboyaca.edu.co/index.php/rs/article/view/734/837; Flauzino, R. F., Souza-Santos, R., & Oliveira, E. R. M. (2009). Dengue, geoprocessamento e indicadores socioeconǒmicos e ambientais: Um estudo de revisão. Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 25(5), 456–461. https://doi.org/10.1590/S1020-49892009000500012; Garzón Salamanca, J. (2014). El climadiagrama, herramienta para estudiar la influencia de la temperatura y pluviosidad en la incidencia del dengue en los departamentos: Cauca, Huila, y Santander entre el 2007 y 2012. 139. http://www.bdigital.unal.edu.co/46514/; Grillet, M. E., Martínez, J. E., & Barrera, R. (2009). Focos calientes de transmisión de malaria: Implicaciones para un control. Boletín de Malariologia y Salud Ambiental, XLIX(2).; Harapan, H., Michie, A., Mudatsir, M., Sasmono, R. T., & Imrie, A. (2019). Epidemiology of dengue hemorrhagic fever in Indonesia: Analysis of five decades data from the National Disease Surveillance. BMC Research Notes, 12(1), 4–9. https://doi.org/10.1186/s13104-019-4379-9; Karyanti, M. R., Uiterwaal, C. S. P. M., Kusriastuti, R., Hadinegoro, S. R., Rovers, M. M., Heesterbeek, H., Hoes, A. W., & Bruijning-Verhagen, P. (2014). The changing incidence of Dengue Haemorrhagic Fever in Indonesia: A 45-year registry-based analysis. BMC Infectious Diseases, 14(1), 1–7. https://doi.org/10.1186/1471-2334-14-412; Khetarpal, N., & Khanna, I. (2016). Dengue Fever: Causes, Complications, and Vaccine Strategies. Journal of Immunology Research, 2016(3). https://doi.org/10.1155/2016/6803098; Krystosik, A. R., Curtis, A., Buritica, P., Ajayakumar, J., Squires, R., Dávalos, D., Pacheco, R., Bhatta, M. P., & James, M. A. (2017). Community context and sub-neighborhood scale detail to explain dengue, chikungunya and Zika patterns in Cali, Colombia. PLoS ONE, 12(8), 1–25. https://doi.org/10.1371/journal.pone.0181208; Lee, G. O., Vasco, L., Márquez, S., Zuniga-Moya, J. C., Van Engen, A., Uruchima, J., Ponce, P., Cevallos, W., Trueba, G., Trostle, J., Berrocal, V. J., Morrison, A. C., Cevallos, V., Mena, C., Coloma, J., & Eisenberg, J. N. S. (2021). A dengue outbreak in a rural community in Northern Coastal Ecuador: An analysis using unmanned aerial vehicle mapping. PLoS Neglected Tropical Diseases, 15(9), 1–18. https://doi.org/10.1371/journal.pntd.0009679; Lim, J. K., Carabali, M., Camacho, E., Velez, D. C., Trujillo, A., Egurrola, J., Lee, K. S., Velez, I. D., & Osorio, J. E. (2020). Epidemiology and genetic diversity of circulating dengue viruses in Medellin, Colombia: A fever surveillance study. BMC Infectious Diseases, 20(1), 1–17. https://doi.org/10.1186/s12879-020-05172-7; Ling, C. Y., Gruebner, O., Krämer, A., & Lakes, T. (2014). Spatio-temporal patterns of dengue in Malaysia: Combining address and sub-district level. 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A., Garcia-Rejon, J., Gomez-Carro, S., Lira-Zumbardo, V., Najera-Vazquez, R., Fernandez-Salas, I., Calderon-Martinez, J., Dominguez-Galera, M., Mis-Avila, P., Morris, N., Coleman, M., Moore, C. G., Beatya, B. J., & Eisen, L. (2008). Use of Google EarthTM to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments. Bulletin of the World Health Organization, 86(9), 718–725. https://doi.org/10.2471/BLT.07.045880; Marceló-Díaz, C., Lesmes, M. C., Santamaría, E., Salamanca, J. A., Fuya, P., Cadena, H., Muñoz-Laiton, P., & Morales, C. A. (2023). Spatial Analysis of Dengue Clusters at Department, Municipality and Local Scales in the Southwest of Colombia, 2014–2019. Tropical Medicine and Infectious Disease, 8(5), 2014–2019. https://doi.org/10.3390/tropicalmed8050262; Mina Possu, N. J. (2018). Modelo de estratificación del riesgo de transmisión de dengue para el diseño de estrategias de prevención en los barrios de alto riesgo “hot spots”, en dos municipios de Colombia. Universidad del Valle. Ministerio de de Salud y Protección Social. (2013). Dengue: Memorias (p. 22).; Mishra, S., Ramanathan, R., & Agarwalla, S. K. (2016). Clinical Profile of Dengue Fever in Children: A Study from Southern Odisha, India. Scientifica, 2016. https://doi.org/10.1155/2016/6391594; Mora-Salamanca, A. F. (2019). Estimación de la carga de enfermedad de dengue, chikunguña y zika en Colombia entre 2013-2016 [Universidad Nacional de Colombia]. http://bdigital.unal.edu.co/72558/; Morales, D. (2022). Modelación longitudinal de casos de dengue en Colombia, mediante modelos de conteo Poisson y ZIP de efectos mixtos. Universidad Nacional de Colombia.; Moreno, A., López, S., & Corcho, A. (2015). Principales medidas de epidemiología. 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Los Autores. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/INEC/INV/Dengue en Colombia.pdf; Parija, S. C., & Kate, V. (2018). Thesis Writing for Master’s and Ph.D. Program. In Thesis Writing for Master’s and Ph.D. Program. https://doi.org/10.1007/978-981-13-0890-1; Patel, S. S., Rauscher, M., Kudela, M., & Pang, H. (2023). Clinical Safety Experience of TAK-003 for Dengue Fever: A New Tetravalent Live Attenuated Vaccine Candidate. Clinical Infectious Diseases, 76(3), E1350–E1359. https://doi.org/10.1093/cid/ciac418; Porcasi, X., Rotela, C. H., Introini, M. V., Frutos, N., Lanfri, S., Peralta, G., De Elia, E. A., Lanfri, M. A., & Scavuzzo, C. M. (2012). An operative dengue risk stratification system in Argentina based on geospatial technology. Geospatial Health, 6(3 SUPPL.). https://doi.org/10.4081/gh.2012.120; Restrepo, B. N., Beatty, M. E., Goez, Y., Ramirez, R. E., Letson, G. W., Diaz, F. J., Piedrahita, L. D., & Osorio, J. E. (2014). Frequency and clinical manifestations of dengue in urban Medellin, Colombia. Journal of Tropical Medicine, 2014. https://doi.org/10.1155/2014/872608; Rey, J. R., & Lounibos, P. (2015). Ecología de Aedes aegypti y Aedes albopictus en América y la transmisión de enfermedades. Biomédica, 35(2). https://doi.org/10.7705/biomedica.v35i2.2514; Rodríguez-Villamizar, L. A. (2017). Inferencia causal en epidemiología. Revista de Salud Pública, 19(3), 409–415. https://doi.org/10.15446/rsap.v19n3.66180 Sabchareon, A., Sirivichayakul, C., Limkittikul, K., Chanthavanich, P., Suvannadabba, S., Jiwariyavej, V., Dulyachai, W., Pengsaa, K., Margolis, H. S., & Letson, G. W. (2012). Dengue infection in children in Ratchaburi, Thailand: A cohort study. I. Epidemiology of symptomatic acute dengue infection in children, 2006-2009. PLoS Neglected Tropical Diseases, 6(7), 2006–2009. https://doi.org/10.1371/journal.pntd.0001732; Sánchez, O. P., & Bermejo, P. M. (2020). Brotes, epidemias, eventos y otros términos epidemiológicos de uso cotidiano. Revista Cubana de Salud Publica, 46(2), 1–16. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-34662020000200003; Shabbir, W., Pilz, J., & Naeem, A. (2020). A spatial-temporal study for the spread of dengue depending on climate factors in Pakistan (2006-2017). BMC Public Health, 20(1), 995. https://doi.org/10.1186/s12889-020-08846-8; Siabato, W., & Guzmán-Manrique, J. (2019). La autocorrelación espacial y el desarrollo de la geografía cuantitativa. Cuadernos de Geografia: Revista Colombiana de Geografia, 28(1), 1–22. https://doi.org/10.15446/rcdg.v28n1.76919; https://repositorio.unal.edu.co/handle/unal/85362; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/
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Zdroj: ISSN: 0926-9630.
Témata: Ergonomics/methods, Health information systems/standards, Health information systems/statistics & numerical data, Patient discharge summaries/standards, Quality assurance health care/methods, Workflow, [INFO]Computer Science [cs]
Relation: info:eu-repo/semantics/altIdentifier/pmid/26262542; PUBMED: 26262542
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Autoři: Grimsmo, A
Zdroj: Tidsskrift for Den Norske Laegeforening. 126(18):2377
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Zdroj: Faculty Publications
Témata: Attitude to Health, British Columbia, Demography, Geographic Information Systems (statistics & numerical data), Health Status Indicators, Humans, Multivariate Analysis, Poverty Areas, Principal Component Analysis, Psychometrics (methods), Residence Characteristics (classification), Self Concept, Social Class, Socioeconomic Factors, Urban Health, Nursing
Popis souboru: application/pdf
Relation: https://scholarcommons.sc.edu/nurs_facpub/23; https://scholarcommons.sc.edu/context/nurs_facpub/article/1023/viewcontent/1476_072X_6_17.pdf
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Témata: Adult, Community Health Centers / organization & administration, Community Health Centers / statistics & numerical data, Developing Countries, Efficiency, Organizational, Evaluation Studies as Topic, Humans, Korea, Management Information Systems / statistics & numerical data, Patient Satisfaction / statistics & numerical data, Socioeconomic Factors, Task Performance and Analysis
Relation: INTERNATIONAL JOURNAL OF ORAL & MAXILLOFACIAL IMPLANTS; J01142; https://ir.ymlib.yonsei.ac.kr/handle/22282913/195083; http://www.quintpub.com/journals/omi/abstract.php?article_id=4144#.VDypJqizIyo; T199401193
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Zdroj: Tidsskrift for Den Norske Laegeforening. 110(12):1546
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Zdroj: PMC
Témata: Clinical Laboratory Information Systems -- standards, Clinical Laboratory Information Systems -- statistics & numerical data, Disease Notification -- standards, Disease Notification -- statistics & numerical data, Electronic Health Records -- standards, Humans, Indiana, Public Health Surveillance, Research Design, Wisconsin, demo, info
Relation: http://hdl.handle.net/1805/7004
Dostupnost: http://hdl.handle.net/1805/7004
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Zdroj: Health Policy and Management Faculty Publications
Témata: Child Welfare, Computer Security, Hospital Information Systems--statistics & numerical data, Insurance, Health--statistics & numerical data, Quality of Health Care--statistics & numerical data, Medicaid & SCHIP, Performance Measurement, Quality Measurement, Health Policy
Popis souboru: application/pdf
Relation: https://hsrc.himmelfarb.gwu.edu/sphhs_policy_facpubs/317; https://hsrc.himmelfarb.gwu.edu/context/sphhs_policy_facpubs/article/1316/viewcontent/dhpPublication_07CD31B8_5056_9D20_3D84F5A075E65490.pdf
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Témata: Child, Environmental Health / statistics & numerical data, Environmental Health / trends, Geographic Information Systems / statistics & numerical data, Geographic Information Systems / trends, Hazardous Substances / adverse effects, Humans
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Autoři: a další
Přispěvatelé: a další
Témata: Aged, Clinical Pharmacy Information Systems/statistics & numerical data, Drug Utilization Review/methods/statistics & numerical data, Health Services for the Aged/standards/statistics & numerical data, Humans, Medication Errors/statistics & numerical data, Pharmaceutical Preparations/*adverse effects, Physician's Practice Patterns
Relation: http://hdl.handle.net/10147/209285; Journal of clinical pharmacy and therapeutics
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