An Outbreak of Ehrlichiosis in Members of an Army Reserve Unit Exposed to Ticks

1989 ◽  
Vol 159 (3) ◽  
pp. 562-568 ◽  
Author(s):  
L. R. Petersen ◽  
L. A. Sawyer ◽  
D. B. Fishbein ◽  
P. W. Kelley ◽  
R. J. Thomas ◽  
...  
Keyword(s):  
2018 ◽  
Vol 2 (2) ◽  
pp. 69-79
Author(s):  
Nathan Parker ◽  
Jonathan Alt ◽  
Samuel Buttrey ◽  
Jeffrey House

Purpose This research develops a data-driven statistical model capable of predicting a US Army Reserve (USAR) unit staffing levels based on unit location demographics. This model provides decision makers an assessment of a proposed station location’s ability to support a unit’s personnel requirements from the local population. Design/methodology/approach This research first develops an allocation method to overcome challenges caused by overlapping unit boundaries to prevent over-counting the population. Once populations are accurately allocated to each location, we then then develop and compare the performance of statistical models to estimate a location’s likelihood of meeting staffing requirements. Findings This research finds that local demographic factors prove essential to a location’s ability to meet staffing requirements. We recommend that the USAR and US Army Recruiting Command (USAREC) use the logistic regression model developed here to support USAR unit stationing decisions; this should improve the ability of units to achieve required staffing levels. Originality/value This research meets a direct request from the USAREC, in conjunction with the USAR, for assistance in developing models to aid decision makers during the unit stationing process.


2013 ◽  
Vol 178 (12) ◽  
pp. 1322-1327 ◽  
Author(s):  
Matthew C. Mishkind ◽  
Amanda Boyd ◽  
Gregory M. Kramer ◽  
Tod Ayers ◽  
Peggy A. Miller

1973 ◽  
Vol 4 (2) ◽  
pp. 258-270 ◽  
Author(s):  
E. L. Kanabrocki ◽  
L. E. Scheving ◽  
F. Halberg ◽  
R. L. Brewer ◽  
T. J. Bird

Author(s):  
Jun Wang

This article presents two case studies using system dynamics to analyze the sustainability of military workforce supply chains. The first case is about multi-period force expansion. An analytical expression is presented to relate the expansion target, training capacity, and expansion period. The system dynamics model forecasts the personnel level achievable against the expansion target for varying input of training capacities. This can be used to inform military force planners about the required training capacity and timeframe to achieve the expansion. The second case examines the sustainability of the deployment of a volunteer-based Army reserve unit. The soldiers’ behavior changes due to their deployment experiences (in terms of willingness to deploy) are modeled and their impact on personnel availability is simulated. The second system dynamics model predicts the personnel level sustainability against the required number of soldiers to deploy. It provides insights regarding the required size of the pool of soldiers to support a deployed Army reserve unit, and promotes policy exploration to boost soldiers’ willingness to deploy. In conclusion, this work demonstrates the applicability of system dynamics to assist decision makers in “raising, training, and sustaining” military workforce supply chains.


1987 ◽  
Author(s):  
Jesse Orlansky ◽  
John Metzko ◽  
Mark Knapp ◽  
Joseph Domin ◽  
Bruce Angier

1988 ◽  
Author(s):  
Myron P. Viner ◽  
Heber G. Moore ◽  
Mark E. Eisley ◽  
Roland J. Hart

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