tick-borne encephalitis

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1
Predicting tick-borne encephalitis using Google Trends.
Sulyok, Mihály;Richter, Hardy;Sulyok, Zita;Kapitány-Fövény, Máté;Walker, Mark D;
2020 Ticks and tick-borne diseases DOI: S1877-959X(19)30221-... 295 views
2
Travel demand and distance analysis for free-floating car sharing based on deep learning method.
Zhang, Chen;He, Jie;Liu, Ziyang;Xing, Lu;Wang, Yinhai;
2019 PloS one DOI: 10.1371/journal.pone... 215 views
3
Epidemiological and time series analysis of haemorrhagic fever with renal syndrome from 2004 to 2017 in Shandong Province, China.
Zhang, Chao;Fu, Xiao;Zhang, Yuanying;Nie, Cuifang;Li, Liu;Cao, Haijun;Wang, Junmei;Wang, Baojia;Yi,...
2019 Scientific reports DOI: 10.1038/s41598-019-5... 332 views
4
a predictive model has identified tick-borne encephalitis high-risk areas in regions where no cases were reported previously, poland, 1999–2012
;Pawel Stefanoff;Barbara Rubikowska;Jakub Bratkowski;Zbigniew Ustrnul;Sophie O. Vanwambeke;Magdalena...
2018 archives of biochemistry and biophysics DOI: 10.3390/ijerph150406... 194 views

Related Journals

Scientific reports
ISSN: 2045-2322 868 views
PloS one
ISSN: 1932-6203 926 views
Ticks and tick-borne diseases
ISSN: 1877-9603 372 views

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