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Benchmarking of public health surveillance of COVID-19 in Colombia: First semester ; Evaluación comparativa de la vigilancia en salud pública de COVID-19 en Colombia: primer semestre

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  • Additional Information
    • Publication Information:
      Instituto Nacional de Salud
    • Publication Date:
      2020
    • Collection:
      Biomédica - Revista del Instituto Nacional de Salud, Bogotá
    • File Description:
      application/pdf; text/xml
    • Relation:
      https://revistabiomedica.org/index.php/biomedica/article/view/5859/4696; https://revistabiomedica.org/index.php/biomedica/article/view/5859/4743; Hurtado-Ortiz A, Moreno-Montoya J, Prieto-Alvarado FE, Idrovo AJ. Evaluación comparativa de la vigilancia en salud pública de COVID-19 en Colombia: primer semestre. Biomédica. 2020;40(Supl.2):96-103. https://doi.org/10.7705/biomedica.5812; Cerioli A, Barabesi L, Cerasa A, Menegatti M, Perrotta D. Newcomb-Benford law and the detection of frauds in international trade. Proc Natl Acad Sci U S A. 2019;116:106-15.; Berger A, Hill TP. Benford’s law strikes back: No simple explanation in sight for mathematical gem. The Mathematical Intelligencer. 2011;33:85-91. https://doi.org/10.1007/s00283-010-9182-3; Mebane WR. Comment on “Benford’s Law and the detection of election fraud”. Political Analysis. 2011;19:269-72.; Idrovo AJ, Fernández-Niño JA, Bojórquez-Chapela I, Moreno-Montoya J. Performance of public health surveillance systems during the influenza A(H1N1) pandemic in the Americas: Testing a new method based on Benford’s law. Epidemiol Infect. 2011;139:1827-34. https://doi.org/10.1017/S095026881100015X; Langmuir AD. Evolution of the concept of surveillance in the United States. Proc R Soc Med. 1971;64:681-684.; Declich S, Carter AO. Public health surveillance: Historical origins, methods and evaluation. Bull World Health Organ. 1994;72:285-304.; German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN, et al. Updated guidelines for evaluating public health surveillance systems: Recommendations from the Guidelines Working Group. MMWR Recomm Rep. 2001;50:1-35.; Idrovo AJ, Manrique-Hernández EF. Data quality of Chinese surveillance of COVID-19: Objective analysis based on WHO's situation reports. Asia Pac J Public Health. 2020;32(4):165-167. http://doi.org/10.1177/1010539520927265; Koesters N, McMenemy A, Belanger Y. Simulating epidemics with a SIRD model and testing with Benford’s law. (Pre-print) doi: https://www.newyorker.com/news/daily-comment/thecoronavirus-hits-brazil-hard-but-jair-bolsonaro-is-unrepentant; Zhang J. Testing case number of coronavirus disease 2019 in China with Newcomb-Benford law. arXiv:2002.05695; Isea R. How valid are the reported cases of people infected with covid-19 in the world? Int J Coronav 2020;1(2):53-56. http://doi.org/10.14302/issn.2692-1537.ijcv-20-3376; Lee KB, Han S, Jeong Y. COVID-19, flattening the curve, and Benford’s law. Physica A: Stat Mech Appl. 2020;559:125090. https://doi.org/10.1016/j.physa.2020.125090; Elba F. Dati Covid 2019 e legge di Benford. arXiv:2008.05884; Idrovo AJ, Manrique-Hernández EF, Fernández-Niño JA. Report from Bolsonaro’s Brazil: The consequences of ignoring science. Int J Health Serv 2020 (in press).; Boateng GO, Neilands TB, Frongillo EA, Melgar-Quiñonez HR, Young SL. Best practices for developing and validating scales for health, social, and behavioral research: A primer. Front Public Health. 2018;6:149. http://doi.org/10.3389/fpubh.2018.00149; https://revistabiomedica.org/index.php/biomedica/article/view/5859
    • Online Access:
      https://doi.org/10.7705/biomedica.5812
      https://doi.org/10.1007/s00283-010-9182-3
      https://doi.org/10.1017/S095026881100015X
      https://doi.org/10.1177/1010539520927265
      https://doi.org/10.1016/j.physa.2020.125090
      https://doi.org/10.3389/fpubh.2018.00149
      https://revistabiomedica.org/index.php/biomedica/article/view/5859
    • Rights:
      Derechos de autor 2020 Biomédica
    • Accession Number:
      edsbas.20043CE8