Environmental, climatic and host population risk factors of human cystic echinococcosis in southwest of Iran

Abstract Background Cystic echinococcosis (CE), a worldwide zoonotic disease, is affected by various biological and environmental factors. We investigated dog/livestock populations, climatic and environmental factors influencing the distribution of human CE cases in Fars province, southwest Iran. Me...

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Main Authors: Mohammad Amin Ghatee (Author), Koorosh Nikaein (Author), Walter Robert Taylor (Author), Mehdi Karamian (Author), Hasan Alidadi (Author), Zahra Kanannejad (Author), Faezeh Sehatpour (Author), Fateme Zarei (Author), Gholamreza Pouladfar (Author)
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Published: BMC, 2020-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Mohammad Amin Ghatee  |e author 
700 1 0 |a Koorosh Nikaein  |e author 
700 1 0 |a Walter Robert Taylor  |e author 
700 1 0 |a Mehdi Karamian  |e author 
700 1 0 |a Hasan Alidadi  |e author 
700 1 0 |a Zahra Kanannejad  |e author 
700 1 0 |a Faezeh Sehatpour  |e author 
700 1 0 |a Fateme Zarei  |e author 
700 1 0 |a Gholamreza Pouladfar  |e author 
245 0 0 |a Environmental, climatic and host population risk factors of human cystic echinococcosis in southwest of Iran 
260 |b BMC,   |c 2020-10-01T00:00:00Z. 
500 |a 10.1186/s12889-020-09638-w 
500 |a 1471-2458 
520 |a Abstract Background Cystic echinococcosis (CE), a worldwide zoonotic disease, is affected by various biological and environmental factors. We investigated dog/livestock populations, climatic and environmental factors influencing the distribution of human CE cases in Fars province, southwest Iran. Methods We mapped the addresses of 266 hospitalised CE patients (2004-2014) and studied the effects of different temperature models, mean annual rainfall and humidity, number of frosty days, slope, latitude, land covers, close proximity to nomads travel routes, livestock and dog densities on the occurrence of CE using geographical information systems approach. Data were analyzed by logistic regression. Results In the multivariate model predicting CE, living in an urban setting and densities of cattle and dogs were the most important CE predictors, sequentially. Dry (rained) farm, density of camel and sheep, close proximity to nomads travel routes, humidity, and slope also were considered as the determinants of CE distribution, when analyzed independently. Slope had a negative correlation with CE while temperature, frost days and latitude were not associated with CE. Conclusions In our study, an urban setting was the most important risk factor and likely due to a combination of the high density of key life cycle hosts, dogs and livestock, a large human susceptible population and the high number of abattoirs. Farmland and humidity were highly suggestive risk factors and these conditions support the increased survival of Echinococcus granulosus eggs in the soil. These findings support the development of strategies for control of disease. More research is needed test optimal interventions. 
546 |a EN 
690 |a Cystic echinococcosis 
690 |a GIS 
690 |a Climate 
690 |a Livestock 
690 |a Environment 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 20, Iss 1, Pp 1-13 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12889-020-09638-w 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/d174f1a8a0804550b1350b3e39f12dea  |z Connect to this object online.