Drivers of seasonal variation in tuberculosis incidence: insights from a systematic review and mathematical model

C Tedijanto, S Hermans, F Cobelens, R Wood… - …, 2018 - journals.lww.com
Background: Seasonality in tuberculosis incidence has been widely observed across
countries and populations; however, its drivers are poorly understood. We conducted a …

Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses

Q Liu, Z Li, Y Ji, L Martinez, UH Zia… - Infection and drug …, 2019 - Taylor & Francis
Objective Forecasting the seasonality and trend of pulmonary tuberculosis is important for
the rational allocation of health resources; however, this foresting is often hampered by …

[HTML][HTML] Forecasting the incidence of tuberculosis in China using the seasonal auto-regressive integrated moving average (SARIMA) model

Q Mao, K Zhang, W Yan, C Cheng - Journal of infection and public health, 2018 - Elsevier
Objectives The aims of this study were to develop a forecasting model for the incidence of
tuberculosis (TB) and analyze the seasonality of infections in China; and to provide a useful …

[HTML][HTML] The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015

Y Xiao, L He, Y Chen, Q Wang, Q Meng, W Chang… - Scientific reports, 2018 - nature.com
The influence of meteorological determinants on tuberculosis (TB) incidence remains
severely under-discussed, especially through the perspective of time series analysis. In the …

Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system

Z Zuo, M Wang, H Cui, Y Wang, J Wu, J Qi, K Pan… - BMC Public Health, 2020 - Springer
Background China has always been one of the countries with the most serious Tuberculosis
epidemic in the world. Our study was to observe the Spatial-temporal characteristics and the …

Temporal trends analysis of tuberculosis morbidity in mainland China from 1997 to 2025 using a new SARIMA-NARNNX hybrid model

Y Wang, C Xu, S Zhang, Z Wang, L Yang, Y Zhu… - BMJ open, 2019 - bmjopen.bmj.com
Objective Tuberculosis (TB) remains a major deadly threat in mainland China. Early warning
and advanced response systems play a central role in addressing such a wide-ranging …

Identification and prediction of tuberculosis in Eastern China: analyses from 10-year population-based notification data in Zhejiang Province, China

K Liu, T Li, A Vongpradith, F Wang, Y Peng, W Wang… - Scientific Reports, 2020 - nature.com
Tuberculosis, a severe infectious disease caused by the Mycobacterium tuberculosis,
arouses huge concerns globally. In this study, a total of 331,594 TB cases in Zhejiang …

[HTML][HTML] Forecasting tuberculosis incidence in iran using box-jenkins models

M Moosazadeh, M Nasehi, A Bahrampour… - Iranian Red Crescent …, 2014 - ncbi.nlm.nih.gov
Background: Predicting the incidence of tuberculosis (TB) plays an important role in
planning health control strategies for the future, developing intervention programs and …

Forecasting tuberculosis incidence: a review of time series and machine learning models for prediction and eradication strategies

JY Maipan-Uku, N Cavus - International Journal of Environmental …, 2024 - Taylor & Francis
Despite efforts by the World Health Organization (WHO), tuberculosis (TB) remains a leading
cause of fatalities globally. This study reviews time series and machine learning models for …

Estimating the incidence of tuberculosis cases reported at a tertiary hospital in Ghana: a time series model approach

G Aryee, E Kwarteng, R Essuman, A Nkansa Agyei… - BMC Public Health, 2018 - Springer
Abstract Background The incidence of Tuberculosis (TB) differs among countries and
contributes to morbidity and mortality especially in the developing countries. Trends and …