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Start Over Author "Ran Ran Wang" Journal bmc infectious diseases
2 results on '"Ran Ran Wang"'

1. Time series analysis of mumps and meteorological factors in Beijing, China

Author

Yu Hao, Ran-ran Wang, Ling Han, Hong Wang, Xuan Zhang, Qiao-ling Tang, Long Yan, and Juan He

Subjects
Beijing, Meteorological factors, Mumps, Time series, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Over the past decades there have been outbreaks of mumps in many countries, even in populations that were vaccinated. Some studies suggest that the incidence of mumps is related to meteorological changes, but the results of these studies vary in different regions. To date there is no reported study on correlations between mumps incidence and meteorological parameters in Beijing, China. Methods A time series analysis incorporating selected weather factors and the number of mumps cases from 1990 to 2012 in Beijing was performed. First, correlations between meteorological variables and the number of mumps cases were assessed. A seasonal autoregressive integrated moving average model with explanatory variables (SARIMAX) was then constructed to predict mumps cases. Results Mean temperature, rainfall, relative humidity, vapor pressure, and wind speed were significantly associated with mumps incidence. After constructing the SARIMAX model, mean temperature at lag 0 (β = 0.016, p

Published
2019
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2. Time series analysis of mumps and meteorological factors in Beijing, China

Author

Ran Ran Wang, Hong Wang, Qiao Ling Tang, Juan He, Yu Hao, Long Yan, Xuan Zhang, and Ling Han

Subjects
0301 basic medicine, Time series, Meteorological Concepts, Vapor Pressure, Rain, 030106 microbiology, Wind, lcsh:Infectious and parasitic diseases, 03 medical and health sciences, 0302 clinical medicine, Beijing, Negatively associated, Statistics, Humans, lcsh:RC109-216, 030212 general & internal medicine, Autoregressive integrated moving average, Weather, Mumps, Models, Statistical, Incidence, Incidence (epidemiology), Temperature, Humidity, Interrupted Time Series Analysis, Meteorological factors, Confidence interval, Infectious Diseases, Environmental science, Seasons, Weather factors, Research Article
Abstract

Background Over the past decades there have been outbreaks of mumps in many countries, even in populations that were vaccinated. Some studies suggest that the incidence of mumps is related to meteorological changes, but the results of these studies vary in different regions. To date there is no reported study on correlations between mumps incidence and meteorological parameters in Beijing, China. Methods A time series analysis incorporating selected weather factors and the number of mumps cases from 1990 to 2012 in Beijing was performed. First, correlations between meteorological variables and the number of mumps cases were assessed. A seasonal autoregressive integrated moving average model with explanatory variables (SARIMAX) was then constructed to predict mumps cases. Results Mean temperature, rainfall, relative humidity, vapor pressure, and wind speed were significantly associated with mumps incidence. After constructing the SARIMAX model, mean temperature at lag 0 (β = 0.016, p

Published
2019

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