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Conclusion support in manuscript writing. TA implemented the study as
PI, contributed to the manuscript writing. All authors dis-
In this study, immunological methods were used to detect se- cussed the results and commented on the manuscript.
ropositivity rates among a collection of military recruits for
exposure to a select group of endemic diseases. It was particu- References
larly focused on describing the prevalence and distribution of 1. Trump DH. Force health protection: 10 years of lessons learned
newly emerging pathogens that have not been characterized by the Department of Defense. Mil Med. 2002;167(3):179.
previously among the military-age population. The results pre- 2. Simon AK, Hollander GA, Mc Michael A. Evolution of the im-
sented here indicate that there is a high degree of exposure mune system in humans from infancy to old age. Proc Biol Sci.
among native-born Georgians that does not result in clinical 2015;282(1821):20143085.
illness. A more-thorough investigation will be necessary to de- 3. Murray PR, Rosenthal KS, Pfaller MA. Medical Microbiology.
Amsterdam, the Netherlands: Elsevier Health Sciences; 2015.
termine the cause of this phenomenon; however, the evidence 4. Scoville WB. The prevalence of mild Brucella abortus infections.
acquired during this study indicating widespread pathogen JAMA. 1935;105(24):1976.
exposure suggests that military personnel operating in Geor- 5. Yilmaz B, Ozdemir G, Aktas E, et al. Brucellosis suspicion is the
gia should take precautions to limit vector exposure and that most important criterion for diagnosis particularly in endemic re-
the pathogens included in this study should be retained in the gions. Open Orthop J. 2016;10(1):7–11.
differential diagnosis of febrile and vector-borne illness in pa- 6. Mostashari F, Bunning ML, Kitsutani PT, et al. Epidemic West
tients who are being treated in Georgia or those who have Nile encephalitis, New York, 1999: results of a household-based
seroepidemiological survey. Lancet. 2001;358(9278):261–264.
recently returned from a deployment to Georgia or a neigh- 7. Raoult D, Marrie T. Q fever. Clin Infect Dis. 1995;20(3):489–495.
boring country. 8. Pallant J, Manual SS. SPSS Survival Manual. A Step by Step
Guide to Data Analysis Using SPSS. Berkshire, UK: McGraw-Hill
Funding Education; 2010.
This study was funded by the Defense Threat Reduction 9. Bondyrev IV, Davitashvili ZV, Singh VP (eds). Demographics. In:
Agency through the Cooperative Biological Engagement Pro- The Geography of Georgia. Problems and Perspectives. Cham,
Switzerland: Springer International Publishing; 2015:39–53.
gram (CBEP-CBR-GG21). The funders had no role in study 10. d-maps.com. Map. Georgia. http://d-maps.com/carte.php?num
design, data collection and analysis, decision to publish, or _car=51033&lang=en. Accessed 29 January 2018.
preparation of the manuscript. 11. Torok E, Moran E, Cooke FJ. Oxford Handbook of Infectious
Diseases and Microbiology. New York, NY: Oxford University
Disclaimer Press; 2017.
The views expressed in this manuscript are those of the au- 12. Pokhrel BM, Karmacharya R, Mishra SK, et al. Distribution of
thors and do not reflect the official policy or position of the antibody titer against Salmonella enterica among healthy individ-
uals in Nepal. Ann Clin Microbiol Antimicrobial. 2009;8(1):1.
Department of the Army, Department of Defense, or the US 13. Keasey SL, Schmid KE, Lee MS, et al. Extensive antibody cross-
Government. reactivity among infectious Gram-negative bacteria revealed by
proteome microarray analysis. Mol Cell Proteomics. 2008;8(5):
Disclosures 924–935.
The authors have indicated they have no financial relation- 14. McCullough NB, Eisele CW. Experimental human salmonellosis:
ships relevant to this article to disclose. II. Immunity studies following experimental illness with Salmo-
nella meleagridis and Salmonella anatum. J Immunol. 1951;66
(5):595–608.
Author Contributions 15. Akhvlediani T, Bautista CT, Garuchava N, et al. Epidemiologi-
NC carried out the experiment and helped supervise the proj- cal and clinical features of brucellosis in the country of Georgia.
ect. NG, NR, and ND carried out the experiment. KD and PLoS One. 2017;12(1):e0170376.
LD contributed to the study design, enrollment, and sample 16. Clark DV, Ismailov A, Seyidova E, et al. Seroprevalence of tulare-
collection. RK, PI, and MB contributed to the study design mia in rural Azerbaijan. Vector Borne Zoonotic Dis. 2012;12(7):
558–563.
and helped supervise the project. RC contributed to the data 17. Maletskaia OV, Beliaeva AI, Taran TV, et al. [Epidemiologic situ-
entry and data analysis. TK and NA contributed to the study ation on dangerous infectious diseases on the territory of Repub-
design and implementation and contributed to the manuscript lic of Abkhazia]. Zh Mikrobiol Epidemiol Immunobiol. 2013(5):
writing. RR and MN provided devised the project and pro- 43–47.
vided oversight. CB helped with data analysis and manuscript 18. Georgian Biodiversity Database. Georgian biodiversity database.
writing. MW helped supervise the project and provided major 2013. http://www.biodiversity-georgia.net/index.php?taxon=Ixodes
Ricinus. Accessed 21 July 2017.

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