نتایج جستجو برای: outbreak prediction

تعداد نتایج: 295566  

Journal: :Journal of food protection 2016
Michael Knowles Sara Stinson Dominic Lambert Catherine Carrillo Adam Koziol Martine Gauthier Burton Blais

Genomic antimicrobial resistance (AMR) prediction tools have the potential to support foodborne illness outbreak investigations through their application in the analysis of bacterial genomes from causative strains. The AMR marker profile of a strain of interest, initially identified in outbreak-associated clinical samples, may serve as the basis for customization of selective enrichment media, ...

2012
Adrian Sutu El-Mehdi Meftah C. Elaine Chapman

17 Address to which correspondence should be sent: 18 C. Elaine Chapman 19 Département de physiologie 20 Université de Montréal 21 PO Box 6128, Succursale centre ville 22 Montréal, Québec H3C 3J7 23 Canada 24 25 Tel : 514-343-2304 26 Fax : 514-343-6113 27 e-mail : [email protected] 28 29 30 Running title: Tactile roughness perception 31 32

Journal: :Disaster Medicine and Public Health Preparedness 2020

2014
Vikas Singh Madhavi Ajay Pradhan

If we look a few years back, we will find that ensemble classification model has outbreak many research and publication in the data mining community discussing how to combine models or model prediction with reduction in the error that results. When we ensemble the prediction of more than one classifier, more accurate and robust models are generated. We have convention that bagging, boosting wit...

Journal: :Journal of behavioral data science 2021

It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during pandemic. Traditionally, has been assessed through diagnostic antibody testing data. However, despite increasing availability testing, required level not met in parts globe, introducing a need an alternative method communities determine dis...

Journal: :iranian journal of public health 0
aa akhavan mr yaghoobi-ershadi1 d mehdipour h abdoli b farzinnia m mohebali

an outbreak of zoonotic cutaneous leishmaniasis caused by leishmania major was identified in ghanavat rural district, qom province, central iran, during 1999-2001. among 1069 inhabitants examined in dec. 1999, 5.14% showed evidence of active lesions and 12.44% had scar indicative of past infection. the most highly infected age group was 5-9 years old for ulcers with a rate of 6.56%. the inciden...

Journal: :iranian red crescent medical journal 0
sayyed ali marashi hajj and pilgrimage medical center, tehran, ir iran hojjatollah rusta department of cardiology, shiraz university of medical sciences, shiraz ir iran aminreza tabatabaei department of education and research, hajj and pilgrimage medical center, tehran, ir iran; department of education and research, hajj and pilgrimage medical center, tehran, ir iran. tel: +98-2186744114

conclusions respiratory disease, musculoskeletal pain, headache, and digestion problems were among the most important reasons of patients' referral to physicians in times of hajj. the mentioned complications could be prevented through correct trainings and conforming to health recommendations in times of hajj. results in general, medical data of 107074 cases had been registered in this software...

Journal: :archives of clinical infectious diseases 0
hastyar pazhouhi department of epidemiology, hamadan university of medical sciences, hamadan, ir iran manoochehr karami modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran; modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran. tel: +98-8138380762 nader esmailnasab department of epidemiology and biostatistics, kurdistan university of medical sciences, kurdistan, ir iran abbas moghimbeigi modeling of non-communicable diseases research center and department of biostatistics and epidemiology, school of public health, hamadan, ir iran mohammad fariadras department of epidemiology, hamadan university of medical sciences, hamadan, ir iran

conclusions addressing and removing explainable patterns of syndromic data on meningitis is necessary to timely and accurately detection of meningitis epidemics. it was concluded that decomposition methods had better performance compared to the model based ones. background meningitis is one of the most disturbing infectious diseases due to mortality, morbidity and its ability to cause epidemic....

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