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A Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data

机译：一种卑鄙的方法，用于估算大规模基于设施的被动监控数据的伤寒发烧发生率

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Maile T. Phillips; James E. Meiring; Merryn Voysey; Joshua L. Warren; Stephen Baker; Buddha Basnyat; John D. Clemens; Christiane Dolecek; Sarah J. Dunstan; Gordon Dougan; Melita A. Gordon; Robert S. Heyderman; Kathryn E. Holt; Firdausi Qadri; Andrew J. Pollard; Virginia E. Pitzer;
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1. Integrating Facility-Based Surveillance With Healthcare Utilization Surveys to Estimate Enteric Fever Incidence: Methods and Challenges [J] . Jason R. Andrews, Caitlin Barkume, Alexer T. Yu, The Journal of Infectious Diseases . 2018,第Suppla4期

机译：将基于设施的监视与医疗保健利用率调查集成，以估算肠溶发热率：方法和挑战
2. Estimating the spatial distribution of acute undifferentiated fever (AUF) and associated risk factors using emergency call data in India. A symptom-based approach for public health surveillance [J] . Kauhl Boris, Pilot Eva, Rao Ramana, Health & place . 2015,第Null期

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3. A multistate approach for estimating the incidence of human immunodeficiency virus by using HIV and AIDS French surveillance data. [J] . Sommen C, Alioum A, Commenges D Statistics in medicine . 2009,第11期

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4. Forecasting typhoid fever incidence in the Cordillera administrative region in the Philippines using seasonal ARIMA models [C] . Olive R. Cawiding, Gina May R. Natividad, Crisostomo V. Bato, International Conference on Mathematics, Statistics, and Their Applications . 2017

机译：使用季节性Arima模型预测菲律宾Cordillera行政区域的伤寒发病率
5. A surveillance modeling and ecological analysis of urban residential crimes in Columbus, Ohio, using Bayesian hierarchical data analysis and new space-time surveillance methodology. [D] . Kim, Youngho. 2007

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6. Integrating Facility-Based Surveillance With Healthcare Utilization Surveys to Estimate Enteric Fever Incidence: Methods and Challenges [O] . Jason R Andrews, Caitlin Barkume, Alexander T Yu, -1

机译：将基于设施的监视与医疗保健利用调查相结合以估计肠热发病率：方法和挑战
7. Integrating Facility-Based Surveillance With Healthcare Utilization Surveys to Estimate Enteric Fever Incidence: Methods and Challenges [O] . Jason R Andrews, Caitlin Barkume, Alexander T Yu, 2018

机译：将基于设施的监视与医疗保健利用率调查集成，以估算肠溶发热率：方法和挑战

A Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data

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