Author: Arefin, Md Arman; Nabi, Md Nurun; Islam, Mohammad Towhidul; Islam, Md Shamiul
                    Title: Influences of weather-related parameters on the spread of Covid-19 pandemic – The scenario of Bangladesh  Cord-id: jtvt2cvy  Document date: 2021_6_30
                    ID: jtvt2cvy
                    
                    Snippet: OBJECTIVE: Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (Covid-19) from the perspective of Bangladesh. METHODS: Correlation among weather parameters and infection and death rate were established using several graphical plots and wind rose diagrams, Kendall 
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: OBJECTIVE: Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (Covid-19) from the perspective of Bangladesh. METHODS: Correlation among weather parameters and infection and death rate were established using several graphical plots and wind rose diagrams, Kendall and Spearman correlation and appropriate discussion with relevancy and reference. Information presented in this study has been extracted from 1st April 2020 to 30th December 2020. RESULTS: Analyses show that with the decrease in temperature, infection rate increased significantly. Also, the number of infection increases as wind speed increases. As the absolute humidity rate of Bangladesh is almost constant; therefore, the authors are unable to predict any relation of absolute humidity with the number of infection. Further, the prediction for the number of infections based on the wind direction for the several regions of seven divisions in Bangladesh is vulnerable for the upcoming several months. CONCLUSION: This study has analysed the dependency of weather parameters on a number of infections along with predicting the upcoming danger zones.
 
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