BACKGROUND: Although seasonal variation in tuberculosis (TB) incidence has been described in many countries, it remains unknown in China. METHODS: A time series decomposition analysis (X-12-ARIMA) was performed to examine the seasonal variation in active TB cases nationwide from 2005 through 2012 in China. Seasonal amplitude was calculated for the evaluation of TB seasonal variation. RESULTS: A total of 7.78 million active TB cases were reported over a period of 8 years. A spring peak (April) was observed with seasonal amplitude of 46.3%, compared with the winter trough (February). Most cases in provinces with subtropical and tropical monsoon climate showed lower amplitudes than those in temperate continental, plateau and mountain climate r...
<p>The Data was obtained from the website of Bureau of Health, Xinjiang Uyghur Autonomous Region, Ch...
Background: Determining the temporal variations and seasonal pattern of diseases and forecasting the...
<p>Peak/trough month, seasonal amplitude (%) (95% Confidence Interval) and hotspots of amplitude of ...
Although seasonal variation in tuberculosis (TB) incidence has been described in many countries, it ...
Xinjiang is one of the highest TB-burdened provinces of China. A time-series analysis was conducted ...
Objective Tuberculosis (TB) incidence shows a seasonal trend. The purpose of this study was to explo...
Although there was a report about the seasonal variation in Wuhan city, it only analyzed the prevale...
BACKGROUND: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Background Summer predominance of tuberculosis (TB) was reported previously in temperate regions. No...
Background: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Introduction Tuberculosis (TB) remains a major global health problem. Globally, the incidence and m...
Abstract Summer-spring predominance of tuberculosis (TB) has been widely reported. The relative cont...
BackgroundUnderstanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially ...
Objectives: The aims of this study were to develop a forecasting model for the incidence of tubercul...
BACKGROUND:Understanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially...
<p>The Data was obtained from the website of Bureau of Health, Xinjiang Uyghur Autonomous Region, Ch...
Background: Determining the temporal variations and seasonal pattern of diseases and forecasting the...
<p>Peak/trough month, seasonal amplitude (%) (95% Confidence Interval) and hotspots of amplitude of ...
Although seasonal variation in tuberculosis (TB) incidence has been described in many countries, it ...
Xinjiang is one of the highest TB-burdened provinces of China. A time-series analysis was conducted ...
Objective Tuberculosis (TB) incidence shows a seasonal trend. The purpose of this study was to explo...
Although there was a report about the seasonal variation in Wuhan city, it only analyzed the prevale...
BACKGROUND: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Background Summer predominance of tuberculosis (TB) was reported previously in temperate regions. No...
Background: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Introduction Tuberculosis (TB) remains a major global health problem. Globally, the incidence and m...
Abstract Summer-spring predominance of tuberculosis (TB) has been widely reported. The relative cont...
BackgroundUnderstanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially ...
Objectives: The aims of this study were to develop a forecasting model for the incidence of tubercul...
BACKGROUND:Understanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially...
<p>The Data was obtained from the website of Bureau of Health, Xinjiang Uyghur Autonomous Region, Ch...
Background: Determining the temporal variations and seasonal pattern of diseases and forecasting the...
<p>Peak/trough month, seasonal amplitude (%) (95% Confidence Interval) and hotspots of amplitude of ...