The projected epidemic of chronic obstructive pulmonary disease hospitalizations over the next 15 years. A population-based perspective
A Khakban, DD Sin, JM FitzGerald… - American journal of …, 2017 - atsjournals.org
Chronic obstructive pulmonary disease (COPD) is a major source of morbidity, mortality, and
costs in the Western world (1). In the United States, for example, COPD is responsible for …
costs in the Western world (1). In the United States, for example, COPD is responsible for …
A novel model for malaria prediction based on ensemble algorithms
M Wang, H Wang, J Wang, H Liu, R Lu, T Duan… - PloS one, 2019 - journals.plos.org
Background and objective Most previous studies adopted single traditional time series
models to predict incidences of malaria. A single model cannot effectively capture all the …
models to predict incidences of malaria. A single model cannot effectively capture all the …
Modeling seasonal leptospirosis transmission and its association with rainfall and temperature in Thailand using time–series and ARIMAX analyses
OBJECTIVE: To study the number of leptospirosis cases in relations to the seasonal pattern,
and its association with climate factors. METHODS: Time series analysis was used to study …
and its association with climate factors. METHODS: Time series analysis was used to study …
Seasonal variations in notification of active tuberculosis cases in China, 2005–2012
XX Li, LX Wang, H Zhang, X Du, SW Jiang, T Shen… - PloS one, 2013 - journals.plos.org
Background Although seasonal variation in tuberculosis (TB) incidence has been described
in many countries, it remains unknown in China. Methods A time series decomposition …
in many countries, it remains unknown in China. Methods A time series decomposition …
Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population
Z Li, Z Wang, H Song, Q Liu, B He, P Shi… - Infection and drug …, 2019 - Taylor & Francis
Objective To investigate suitable forecasting models for tuberculosis (TB) in a Chinese
population by comparing the predictive value of the autoregressive integrated moving …
population by comparing the predictive value of the autoregressive integrated moving …
Imported cases and minimum temperature drive dengue transmission in Guangzhou, China: evidence from ARIMAX model
QL Jing, Q Cheng, JM Marshall, WB Hu… - Epidemiology & …, 2018 - cambridge.org
Dengue is the fastest spreading mosquito-transmitted disease in the world. In China,
Guangzhou City is believed to be the most important epicenter of dengue outbreaks …
Guangzhou City is believed to be the most important epicenter of dengue outbreaks …
[HTML][HTML] Predicting the incidence of smear positive tuberculosis cases in Iran using time series analysis
Background: Determining the temporal variation and forecasting the incidence of smear
positive tuberculosis (TB) can play an important role in promoting the TB control program. Its …
positive tuberculosis (TB) can play an important role in promoting the TB control program. Its …
[HTML][HTML] Forecasting tuberculosis incidence in iran using box-jenkins models
Background: Predicting the incidence of tuberculosis (TB) plays an important role in
planning health control strategies for the future, developing intervention programs and …
planning health control strategies for the future, developing intervention programs and …
[HTML][HTML] Seasonality and temporal variations of tuberculosis in the North of Iran
Background Determining the temporal variations and seasonal pattern of diseases and
forecasting their incidence can help in promoting disease control and management …
forecasting their incidence can help in promoting disease control and management …
Time series analysis of demographic and temporal trends of tuberculosis in Singapore
Background Singapore is an intermediate tuberculosis (TB) incidence country, with a recent
rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified …
rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified …