Land use and meteorological influences on dengue transmission dynamics in Dhaka city, Bangladesh

Bulletin of the National Research Centre

Table 1 Variables and the research method

		Approach	Variables	Analysis	Data Source
Independent variables	Meteorological	Quantitative	Specific humidity at 2 m (g/kg)	The Pearson correlation coefficient*	https://power.larc.nasa.gov (September, 2022 to August, 2023)
			Relative humidity at 2 m (%)
			Precipitation (mm/day)
			Temperature at 2 m
			Land surface temperature (℃)
			Wind speed at 2 m (m/s)
	Built environment	Qualitative	Structure use	Descriptive statistics	Detailed area plan (2016–2035)
			Structure type
			Land use
Dependent variables			Number of dengue patients		Directorate general of health services (DGHS) at https://dghs.gov.bd. (Accessed on 05 September 2023)

*The Pearson correlation coefficient quantifies linear associations ranging from − 1 to 1. A value above 0.5 indicates a strong positive relationship, 0.3–0.5 suggests a moderate positive relationship, 0 to 0.3 implies a weak positive relationship, 0 means no relationship, − 0.3 to 0 indicates a weak negative relationship, and − 0.3 to − 0.5 signifies a moderate negative relationship, while below -0.5 is a strong negative relationship (Turney 2022)