Dengue fever is a virus-borne disease spread by mosquitos, and its global prevalence has risen significantly in recent years. The aim of this study was to analyze the impact and association of climatic factors on the spread of dengue incidence in Bangladesh. From January 2011 to December 2021, the study used secondary data on monthly dengue cases and the monthly average of climatic factors. In addition to the descriptive statistics, bivariate analyses of Kendall’s tau b and Spearman’s rho have been performed for measuring the association of climatic factors on dengue infection. The multivariate generalized linear negative binomial regression model was applied to evaluate the impacts of climatic factors on dengue transmission. The model revealed that temperature (OR: 152.745,p<0.01), humidity (OR: 1.15, p<0.01), precipitation (OR: 1.131, p<0.01), wind speed (OR: 1.148, p<0.10), and air pressure (OR: 152.745, p<0.01) were significantly influenced the spread of dengue incidence in Bangladesh. The climatic season also significantly influenced dengue transmission, and a higher infection rate (OR: 140.704, p<0.01) was found in the monsoon season at August month. The findings of this study can assist policymakers and public health authorities in taking the essential steps to control the dengue infection in Bangladesh.
Heavy metal contamination in aquaculture farm sediment may create a major risk to ecosystem and human health via the food web as a result of poor handling, incorrect waste management, and extensive use of artificial feed to increase yield and make profit. In this study, heavy metals (e.g., Cd, Cr, Pb, Cu, Zn, Mn, and Ni) were analyzed to examine the accumulation, sources, and contamination levels from the bottom sediment samples in 12 different commercial aquaculture farms from a South Asian coastal area using atomic absorption spectrometer (AAS). The findings revealed that the mean concentrations of heavy metals (µg/g) followed the decreasing order of Mn (48.75 ± 6.75) > Zn (7.09 ± 2.61) > Ni (6.85 ± 2.08) > Cr (5.01 ± 1.04) > Cu (3.00 ± 0.54) > Pb (2.77 ± 0.80) > Cd (0.22 ± 0.07). Contamination factor (CF < 1) and geo-accumulation index (Igeo < 0) for all metals implying the unpolluted status of fish farms by heavy metals. The mean pollution load index (PLI) was found 0.11 refereeing to very low level of contamination. Positive significant correlations (p < 0.05) between Cu-Cr (r = 0.65), Mn-Cd (r = 0.594), Zn-Pb (r = 0.591), Zn-Cu (r = 0.586) and Zn-Cr (r = 0.757) indicated their similar sources of origin. Multivariate analysis like cluster analyses (CA) and principal component analysis (PCA) specified that Cr, Cu, and Zn might have anthropogenic sources. Therefore, future research is recommended to determine element mobility from the feed to pond sediment and fish, and thereby reduce environmental risk to ecosystem and human health.
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