Regulation and Trust: 3-Month Follow-up Study on COVID-19 Mortality in 25 European CountriesOriginal Paper Published on 2020-04-242022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, SARS, [키워드] analysis Analysis changed coronavirus disease country COVID-19 COVID-19 epidemic COVID-19 mortality demonstrated Effect Europe European European country Factor indicated Infectious diseases Linear regression model Major measure Measures Mortality objective outbreak Perceived predicted prevention Psychological Result risk factor significant difference sociability Spread survey the disease the epidemic Trust Variation virus [DOI] 10.2196/19218 PMC 바로가기 [Article Type] Original Paper
Epidemiological characteristics of the first 53 laboratory-confirmed cases of COVID-19 epidemic in Hong Kong, 13 February 2020Research Published on 2020-04-232022-10-31 Journal: Eurosurveillance [Category] COVID-19, SARS, [키워드] attack rate Bayesian framework caused characterising Characteristics China close contact confirmed COVID-19 case Containment containment delay COVID-19 COVID-19 epidemic disease distribution Effectiveness Epidemic epidemiological Epidemiology Factor highlight Hong Kong identify information Isolation laboratory-confirmed likelihood Linear regression model outbreak parameter physical distancing protection released Result risk SARS-CoV-2 secondary secondary attack rate Serial interval significantly social distancing social interaction source of infection the epidemic Transmission Transmission dynamics understanding Weibull distribution [DOI] 10.2807/1560-7917.ES.2020.25.16.2000155 PMC 바로가기 [Article Type] Research
Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance StudyOriginal Paper Published on 2020-04-212022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, SARS, [키워드] Analysis approach approach average Characteristics China Chinese city coding collected content coronavirus coronavirus disease COVID-19 COVID-19 case COVID-19 disease severity COVID-19 outbreak Critical determine disease distribution early stage effect size Effectiveness epidemiological evaluate exhibited exhibiting Frame Future help identify incidence Infectious disease infodemiology infoveillance initial knowledge Linear regression model Measures media National Health Commission objective outbreak pandemic per day platform positive correlation predict Predictive proportion Protective Qualitative qualitative analysis Quantitative Quantitative analysis reported Result social media, surveillance study period the disease utility was used were used Wuhan Wuhan, China [DOI] 10.2196/18700 PMC 바로가기 [Article Type] Original Paper
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot StudyOriginal Paper Published on 2020-04-142022-10-31 Journal: JMIR Public Health and Surveillance [Category] COVID-19, SARS, [키워드] affected affecting Algorithm Care coronavirus coronavirus disease country COVID-19 COVID-19 outbreak deep effective Epidemics evaluated Factor Frequency Google Google Trends Health incidence incidence of COVID-19 Iran learning Linear regression Linear regression model LSTM memory objective outbreak Outbreaks pandemic populations positive COVID-19 predict predicted prediction public health resource Result Support These data trend was used website were used [DOI] 10.2196/18828 PMC 바로가기 [Article Type] Original Paper
Risk factors associated with exposure to bovine respiratory disease pathogens during the peri-weaning period in dairy bull calvesResearch Article Published on 2018-02-272022-10-28 Journal: BMC veterinary research [Category] Coronavirus, [키워드] Analysis animal antibodies antibody association bovine Bovine respiratory disease Calves cause changes in Clinical data Clustering Cohort collected correlated dairy death decrease demonstrated exposure Factor factorial design haptoglobin identify levels of antibody Linear regression model management marker pathogen Pathogens random recorded Respiratory disease Result risk factor S/P serological response significant increases in significantly significantly lower study population were used [DOI] 10.1186/s12917-018-1372-9 PMC 바로가기 [Article Type] Research Article