2014
DOI: 10.1186/preaccept-1209994728131012
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Historical distribution and host-vector diversity of Francisella tularensis, the causative agent of tularemia, in Ukraine

Abstract: Background: Francisella tularensis, the causative agent of tularemia, is a zoonotic agent that remains across much of the northern hemisphere, where it exists in enzootic cycles. In Ukraine, tularemia has a long history that suggests a need for sustained surveillance in natural foci. To better characterize the host-vector diversity and spatial distribution of tularemia, we analyzed historical data from field collections carried out from 1941 to 2008.

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Cited by 10 publications
(17 citation statements)
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“…These include above all the two maps by Kulik and Vinokurova (1983a, b), without which a good coverage of the countries of the former Soviet Union would not be possible. The same is true for Ukraine, for which Hightower et al (2014) compiled serveral tick maps in his master thesis. These tick maps are based on data of the period 1940-2008 provided by the CSES (Central Sanitary Epidemiological Station) bacterial archives in Kyiv, Ukraine (Hightower 2012).…”
Section: Methodsmentioning
confidence: 74%
“…These include above all the two maps by Kulik and Vinokurova (1983a, b), without which a good coverage of the countries of the former Soviet Union would not be possible. The same is true for Ukraine, for which Hightower et al (2014) compiled serveral tick maps in his master thesis. These tick maps are based on data of the period 1940-2008 provided by the CSES (Central Sanitary Epidemiological Station) bacterial archives in Kyiv, Ukraine (Hightower 2012).…”
Section: Methodsmentioning
confidence: 74%
“…In Hungary a hare (Lepus europaeus)-tick cycle explains their inter-epizootic period [22] and should be studied in Georgia. Contaminated water also is likely to serve as a reservoir [23][24][25][26].…”
Section: Discussionmentioning
confidence: 99%
“…Timing of immigration was coded as <5 years and ≥ 5 years. The multinomial scan statistics identify zip codes with an increased occurrence of MTBC genotype clusters from particular populations based on birth country [ 35 ].…”
Section: Methodsmentioning
confidence: 99%