A proposal to enhance national capability to manage epidemics: The critical importance of expert statistical input including official statistics (English)
- New search for: Fisher, Nicholas I.
- New search for: Trewin, Dennis J.
- New search for: Fisher, Nicholas I.
- New search for: Trewin, Dennis J.
In:
Statistical Journal of the IAOS
;
37
, 2
;
465-481
;
2021
- Article (Journal) / Electronic Resource
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Title:A proposal to enhance national capability to manage epidemics: The critical importance of expert statistical input including official statistics
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Additional title:A proposal to enhance national capability to manage epidemics
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Contributors:Fisher, Nicholas I. ( author ) / Trewin, Dennis J. ( author )
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Published in:Statistical Journal of the IAOS ; 37, 2 ; 465-481
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Publisher:
- New search for: IOS Press
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Place of publication:Amsterdam, The Netherlands
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Publication date:2021-04-30
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Size:17 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 37, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 453
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EditorialEveraers, Pieter et al. | 2021
- 463
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Approaches in response to the need of enhanced data financing during COVID-19: The example of the Palestinian Central Bureau of StatisticsAwad, Ola et al. | 2021
- 465
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A proposal to enhance national capability to manage epidemics: The critical importance of expert statistical input including official statisticsFisher, Nicholas I. / Trewin, Dennis J. et al. | 2021
- 483
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Conducting population and housing censuses during the pandemic: An overviewMrkić, Srdjan et al. | 2021
- 495
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Well-being in urban and rural areas, challenges, general policies, and their monitoring: Some evidence for Germany before and during the COVID-19 pandemic1Schnorr-Baecker, Susanne et al. | 2021
- 517
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Forecasting the spread and total size of confirmed and discharged cases of COVID-19 in Nigeria using an ARIMA modelAgboola, S. / Niyang, P. / Olawepo, O. / Ukponu, W. / Niyang, S. / Ujata, I. / Ihueze, A. / Ibrahim, R. / Shallangwa, J. / Adamu, H. et al. | 2021
- 525
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Assessing compliance with the United Nations Fundamental Principles of Official Statistics: A maturity model for continuous improvement1Milicich, Rachael / Dickinson, Teresa / Van Halderen, Gemma / Lalor, Thérèse / Niven, Heather et al. | 2021
- 541
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Techniques for analyzing and presenting official statistics indicatorsKenett, Ron S. / Maggino, Filomena et al. | 2021
- 555
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Agricultural data integration: The 2019 International Conference on Agricultural Statistics in New DelhiYoung, Linda et al. | 2021
- 557
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Integration of statistical and administrative agricultural data from NamibiaBerg, Emily / Im, Johgho / Zhu, Zhengyuan / Lewis-Beck, Colin / Li, Jie et al. | 2021
- 579
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From collection to integration: Non-parametric Statistical Matching between primary and secondary farm dataD’Alberto, Riccardo / Raggi, Meri et al. | 2021
- 593
-
Improving relevance: Istat experience on experimental statisticsCarciotto, Arianna / Signore, Marina et al. | 2021
- 603
-
Standardized calibration adjustment index (SCAI): A new measure of survey data qualityLevine, Burton / Lewis, Taylor / Nonnemaker, Jim / Farrelly, Matthew et al. | 2021
- 613
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Roman law in the national accounting perspective: Usus, fructus and abususTsujimura, Kazusuke / Tsujimura, Masako et al. | 2021
- 629
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Labor figures for Mexico’s municipalities: Small Area EstimationOrozco, Edgar Vielma / Rivera, José Vences / Mata, Gustavo Aguilar et al. | 2021
- 641
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Anticipating revisions in the Transportation Services IndexMcElroy, Tucker S. / Roy, Anindya / Livsey, James / Firestine, Theresa / Notis, Ken et al. | 2021
- 655
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Tackling virtual productionFalkinger, Josef / Huber, Elisa / Chalupa, Johannes et al. | 2021
- 663
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The construction of Minor Statistical Output Areas in IcelandHar\dharson, Ómar S. / Hreinsson, Einar Örn et al. | 2021
- 673
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Using supervised machine learning to identify efficient blocking schemes for record linkageCampbell, Scott R. / Resnick, Dean M. / Cox, Christine S. / Mirel, Lisa B. et al. | 2021
- 681
-
Convolutional neural network with U-Net architecture to detect buildings in satellite imagery for statistical purposesKharis, Muhammad / Mariyah, Siti et al. | 2021
- 693
-
On a disclosure probability statement for the 5 safes frameworkTam, Siu-Ming et al. | 2021
- 701
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Governing-by-the numbers – Résumé after one and a half yearsRadermacher, Walter J. et al. | 2021
- 713
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Population and Housing Censuses: An overdue and old-fashioned instrument or still a modern, severely needed and steadfast tool?Durr, Jean-Michel et al. | 2021
- 717
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SJIAOS Discussion Platform| 2021