Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study.

Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study.

Publication date: Oct 09, 2024

Distinguishing between long-term and short-term effects allows for the identification of different response mechanisms. This study investigated the long- and short-run asymmetric impacts of climate variation on tuberculosis (TB) and constructed forecasting models using the autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL). TB showed a downward trend, peaking in March-May per year. A 1 h increment or decrement in aggregate sunshine hours resulted in an increase of 32 TB cases. A 1 m/s increment and decrement in average wind velocity contributed to a decrement of 3600 and 5021 TB cases, respectively (Wald long-run asymmetry test [WLR] = 13. 275, P 

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Concepts Keywords
5021tb Asymmetric relationships
March Climate
Nonlinear Climate Change
Sunshine Forecasting
Tuberculosis Forecasting model
Humans
Humidity
Meteorological factors
Time-series analysis
Tuberculosis
Tuberculosis
Wind

Semantics

Type Source Name
disease MESH tuberculosis
pathway KEGG Tuberculosis
drug DRUGBANK Medical air
disease MESH death
disease MESH COVID 19
disease MESH co infection
disease MESH morbidity
disease MESH communicable diseases
disease MESH scarlet fever
disease MESH AIDS
drug DRUGBANK Coenzyme M
drug DRUGBANK Huperzine B
disease MESH infection
disease IDO symptom
disease MESH brucellosis
disease IDO susceptibility
disease IDO host
disease MESH vitamin deficiency
pathway REACTOME Reproduction
disease IDO bacteria
disease IDO replication
disease IDO role
disease MESH lifestyles
disease IDO intervention
disease MESH emerging infectious diseases
disease MESH syndrome
disease MESH uncertainty
disease MESH mumps
drug DRUGBANK Activated charcoal
drug DRUGBANK Gold
disease MESH pulmonary tuberculosis
drug DRUGBANK Guanosine

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