Although there was a report about the seasonal variation in Wuhan city, it only analyzed the prevalence data of pulmonary tuberculosis (TB) cases, and just studied the seasonality by subgroup of smear positive and negative from 2006 to 2010 by spectral analysis. In this study, we investigated the seasonality of the total newly notified pulmonary TB cases by subgroups such as time period, sex, age, occupation, district, and sputum smear result from 2004 to 2013 in Wuhan by a popular seasonal adjustment model (TRAMO-SEATS).Monthly pulmonary TB cases from 2004 to 2013 in Wuhan were analyzed by the TRAMO-SEATS seasonal adjustment program. Seasonal amplitude was calculated and compared within the subgroups.From 2004 to 2013, there were 77.76 tho...
BACKGROUND:Understanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially...
A seasonal rise in tuberculosis (TB) notifications has been confirmed in several studies. Here, we e...
<p>Abbreviation:SE,standard error; CI,confidence interval.</p>§<p>Two-tailed two dependent samples S...
BACKGROUND: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Background: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Although seasonal variation in tuberculosis (TB) incidence has been described in many countries, it ...
BACKGROUND: Although seasonal variation in tuberculosis (TB) incidence has been described in many co...
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...
Background Summer predominance of tuberculosis (TB) was reported previously in temperate regions. No...
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...
Objective: This paper aims to study the correlativity between the number of pulmonary tuberculosis (...
BackgroundUnderstanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially ...
<p>Peak/trough month, seasonal amplitude (%) (95% Confidence Interval) and hotspots of amplitude of ...
BACKGROUND:Understanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially...
A seasonal rise in tuberculosis (TB) notifications has been confirmed in several studies. Here, we e...
<p>Abbreviation:SE,standard error; CI,confidence interval.</p>§<p>Two-tailed two dependent samples S...
BACKGROUND: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Background: Although there was a report about the seasonal variation in Wuhan city, it only analyzed...
Although seasonal variation in tuberculosis (TB) incidence has been described in many countries, it ...
BACKGROUND: Although seasonal variation in tuberculosis (TB) incidence has been described in many co...
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...
Background Summer predominance of tuberculosis (TB) was reported previously in temperate regions. No...
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...
Objective: This paper aims to study the correlativity between the number of pulmonary tuberculosis (...
BackgroundUnderstanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially ...
<p>Peak/trough month, seasonal amplitude (%) (95% Confidence Interval) and hotspots of amplitude of ...
BACKGROUND:Understanding seasonality of tuberculosis (TB) epidemics may lead to identify potentially...
A seasonal rise in tuberculosis (TB) notifications has been confirmed in several studies. Here, we e...
<p>Abbreviation:SE,standard error; CI,confidence interval.</p>§<p>Two-tailed two dependent samples S...