Komba E. B.2024-03-192024-03-192023Komba E. B. (2023). Analysis of mosquito bites of certain dangerous species of mosquitoes based on geographic factors of lupiro village in Morogoro, Tanzania, (Master's Dissertation) The University of Dodoma.https://repository.udom.ac.tz/handle/20.500.12661/4325Dissertation (MSc Statistics)This study aimed at analysing the bites of certain dangerous species of mosquitoes based on geographic conditions, time, temperature and humidity of Lupiro village in Morogoro, Tanzania. Secondary data were obtained from Ifakara Health Institute (IHI) for 16 nights of 4 working days per week. Polymerase Chain Reaction (PCR) was used for identification and amplification of species of Mosquitoes. The aim of the study was to identify frequency and probability distributions of different species of mosquitoes, to develop 3D nomogram contour of various dangerous mosquito species’ bites based on geographic conditions and establishing a regression model on mosquito bites with respect to time, temperature and humidity. The study findings in frequency distribution shows that various species of mosquito bites were high at night time from 06 pm to 10 pm and moderate bites were realised from 10pm to 2am. Also, mosquito bites increased from 02 am to 06 am. The findings obtained with respect to temperature indicated that the increase of mosquito bites is associated with the increase of temperature. The findings basing on humidity showed that high humidity increases the breeding conditions of mosquito and consequently the bites also increase. Based on the 3D nomogram contour it was found that where the contour is very close to each other the mosquito bites increases while where the contours are far apart then mosquito bites become low. The Generalized models with family Gaussian with link identity were used and the interpretation was based on p-values of each species of mosquito based on time of bite, temperature and humidity which was statistically significant.enThesis