PURPOSE: To identify the influence of teachers' self-efficacy and school administrators' transformational leadership practices on teachers' innovative behaviour.
METHOD: A quantitative approach using a cross-sectional survey design with a sample of 1415 teachers from four states in Malaysia, and the data were statistically analysed using SPSS® version 26.0 for Windows™ (IBM Corporation, New York, NY, USA).
RESULT: Multiple Regression Analysis found that teachers' self-efficacy and school administrators' transformational leadership practices both had a significant influence on teachers' innovative behaviour by contributing 47.0% of the variance in teachers' innovative behaviour.
CONCLUSION: The findings suggested that teachers' self-efficacy and school administrators' transformational leadership practices both play a role in influencing teachers' innovative behaviour. Therefore, the stakeholders need to consider the aspects of self-efficacy and transformational leadership practices of school administrators in drafting policies and related programmes to improve teachers' innovative behaviour.
METHOD: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow checklist. Four databases (Web of Science, Ovid MEDLINE, Scopus, EBSCOhost) were searched for articles published from 2005 to 2020. The eligible articles were evaluated using a modified scale of a checklist designed for assessing the quality of ecological studies.
RESULTS: A total of 38 studies were included in the review. Precipitation and temperature were most frequently associated with the selected climate-sensitive communicable diseases. A climate change scenario simulation projected that dengue, malaria, and cholera incidence would increase based on regional climate responses.
CONCLUSION: Precipitation and temperature are important meteorological factors that influence the incidence of climate-sensitive communicable diseases. Future studies need to consider more determinants affecting precipitation and temperature fluctuations for better simulation and prediction of the incidence of climate-sensitive communicable diseases.