The impact of air pollution on the transmission of pulmonary tuberculosis.
Math Biosci Eng
; 17(4): 4317-4327, 2020 06 19.
Article
en En
| MEDLINE
| ID: mdl-32987581
ABSTRACT
In this paper, we investigate the relationship between the air pollution and tuberculosis cases and its prediction in Jiangsu, China by using the time-series analysis method, and find that the seasonal ARIMA(1, 1, 0)×(0, 1, 1)12 model is the preferred model for predicting the TB cases in Jiangsu, China. Furthermore, we evaluate the relationship between AQI, PM2.5, PM10 and the number of TB cases, and find that the prediction accuracy of the ARIMA model is improved by adding monthly PM2.5 with 0-month lag as an external variable, i.e., ARIMA(1, 1, 0)×(0, 1, 1)12+PM2.5. The results show that ARIMAX model can be a useful tool for predicting TB cases in Jiangsu, China, and it can provide a scientific basis for the prevention and treatment of TB.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Tuberculosis
/
Tuberculosis Pulmonar
/
Contaminantes Atmosféricos
/
Contaminación del Aire
Tipo de estudio:
Prognostic_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
En
Revista:
Math Biosci Eng
Año:
2020
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
EEUU
/
ESTADOS UNIDOS
/
ESTADOS UNIDOS DA AMERICA
/
EUA
/
UNITED STATES
/
UNITED STATES OF AMERICA
/
US
/
USA