Literature DB >> 25754922

Comments on 'a critical look at prospective surveillance using a scan statistic' by T. Correa, M. Costa, and R. Assunção.

Martin Kulldorff1, Ken Kleinman.   

Abstract

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Year:  2015        PMID： 25754922      PMCID： PMC4357279          DOI： 10.1002/sim.6430

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  4 in total

1.  A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism.

Authors:  Ken Kleinman; Ross Lazarus; Richard Platt
Journal:  Am J Epidemiol       Date:  2004-02-01       Impact factor: 4.897

2.  Response to commentary on 'a critical look at prospective surveillance using a scan statistic'.

Authors:  Thais R Correa; Renato M Assunção; Marcelo A Costa
Journal:  Stat Med       Date:  2015-03-30       Impact factor: 2.373

3.  A space-time permutation scan statistic for disease outbreak detection.

Authors:  Martin Kulldorff; Richard Heffernan; Jessica Hartman; Renato Assunção; Farzad Mostashari
Journal:  PLoS Med       Date:  2005-02-15       Impact factor: 11.069

4.  Laboratory-based prospective surveillance for community outbreaks of Shigella spp. in Argentina.

Authors:  María R Viñas; Ezequiel Tuduri; Alicia Galar; Katherine Yih; Mariana Pichel; John Stelling; Silvina P Brengi; Anabella Della Gaspera; Claudia van der Ploeg; Susana Bruno; Ariel Rogé; María I Caffer; Martin Kulldorff; Marcelo Galas
Journal:  PLoS Negl Trop Dis       Date:  2013-12-12
  4 in total
  9 in total

1.  Detecting space-time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities.

Authors:  M R Martines; R V Ferreira; R H Toppa; L M Assunção; M R Desjardins; E M Delmelle
Journal:  J Geogr Syst       Date:  2021-03-08

2.  Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh.

Authors:  Arif Masrur; Manzhu Yu; Wei Luo; Ashraf Dewan
Journal:  Int J Environ Res Public Health       Date:  2020-08-14       Impact factor: 3.390

3.  A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States.

Authors:  Amparo Güemes; Soumyajit Ray; Khaled Aboumerhi; Michael R Desjardins; Anton Kvit; Anne E Corrigan; Brendan Fries; Timothy Shields; Robert D Stevens; Frank C Curriero; Ralph Etienne-Cummings
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

4.  Development and Evaluation of Statewide Prospective Spatiotemporal Legionellosis Cluster Surveillance, New Jersey, USA.

Authors:  Jessie A Gleason; Kathleen M Ross
Journal:  Emerg Infect Dis       Date:  2022-03       Impact factor: 6.883

5.  Exploring spatiotemporal patterns of COVID-19 infection in Nagasaki Prefecture in Japan using prospective space-time scan statistics from April 2020 to April 2022.

Authors:  Yixiao Lu; Guoxi Cai; Zhijian Hu; Fei He; Yixian Jiang; Kiyoshi Aoyagi
Journal:  Arch Public Health       Date:  2022-07-26

6.  Evaluating and implementing temporal, spatial, and spatio-temporal methods for outbreak detection in a local syndromic surveillance system.

Authors:  Robert W Mathes; Ramona Lall; Alison Levin-Rector; Jessica Sell; Marc Paladini; Kevin J Konty; Don Olson; Don Weiss
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

7.  Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States.

Authors:  Alexander Hohl; Eric M Delmelle; Michael R Desjardins; Yu Lan
Journal:  Spat Spatiotemporal Epidemiol       Date:  2020-06-27

8.  Simulation of Legionnaires' disease prospective spatiotemporal cluster detection, Allegheny County, Pennsylvania, USA.

Authors:  L T Orkis; E R Peterson; M M Brooks; K J Mertz; L H Harrison; J E Stout; S K Greene
Journal:  Epidemiol Infect       Date:  2018-10-18       Impact factor: 2.451

9.  Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters.

Authors:  M R Desjardins; A Hohl; E M Delmelle
Journal:  Appl Geogr       Date:  2020-04-08
  9 in total

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