Applying Zero-inflated Mixed Model to School Absenteeism Surveillance in Rural China
نویسندگان
چکیده
منابع مشابه
Applying Zero-inflated Mixed Model to School Absenteeism Surveillance in Rural China
Methods Data for this study was obtained from the web-based data of ISSC in 62 primary schools in two counties of Jiangxi province, China from April 1th, 2012 to June 30st, 2012. The ZIMM was used to explore: 1)the temporal and spatial variability regarding occurrence and intensity of absenteeism simultaneously, and 2) the heterogeneity among the reporting primary schools by introducing random ...
متن کاملApplication of EWMA and CUSUM models to School Absenteeism Surveillance for Detecting Infectious Disease Outbreaks in Rural China
and reproduction in any medium, provided the original work is properly cited.
متن کاملEstimating the Effectiveness of Early Control Measures through School Absenteeism Surveillance in Observed Outbreaks at Rural Schools in Hubei, China
BACKGROUND School absenteeism is a common data source in syndromic surveillance, which allows for the detection of outbreaks at an early stage. Previous studies focused on its correlation with other data sources. In this study, we evaluated the effectiveness of control measures based on early warning signals from school absenteeism surveillance in rural Chinese schools. METHODS A school absen...
متن کاملModeling Spatial Heterogeneity with Excess Zeroes from School Absenteeism dSata
Introduction Absenteeism has been considered as a potential indicator for the early detection of infectious disease outbreaks in population, especially in primary schools. However, in practice this data are often characterized by an excess of zeros and spatial heterogeneity. In a project on integrated syndromic surveillance system (ISSC) in rural China(1), Random effect zero-inflated Poisson (R...
متن کاملZero-inflated Poisson regression mixture model
Excess zeros and overdispersion are commonly encountered phenomena that limit the use of traditional Poisson regression models for modeling count data. The focus of this paper is on modeling count data in the case that a population has excess zero counts and also consists of several sub-populations in the non-zero counts. The proposed zero-inflated Poisson regression mixture model accounts for ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Online Journal of Public Health Informatics
سال: 2013
ISSN: 1947-2579
DOI: 10.5210/ojphi.v5i1.4421