Introduction:Filth flies can mechanically transmit pathogens, some of which can cause significant diseases in humans and animals. Methods: This study aimed at isolating and identifying pathogenic fungi and intestinal parasites from flies sampled with sweep nets and fly traps from different dumpsites in a tertiary institution. Dumpsites at the various halls of residence were designated A, B, C, and D. Results: Pathogens were mostly isolated from the body surfaces of the flies. The 605 captured filth flies belonged to the two families, Calliphoridae (77.69%) and Muscidae (22.31%). Three genera of fungi were identified, with Aspergillus (91.69%) as the most predominant, followed by Penicillium (5.23%) and Rhizopus (3.08%). The intestinal parasites identified from only the external body surfaces of the sampled flies were protozoans, Cryptosporidium parvum (95%), and Entamoeba histolytica/dispar (0.83%), as well as helminths including Ascaris lumbricoides (3.34%) and Strongyloides stercoralis (0.83%). The percentage occurrence of fungi (57.54%) and intestinal parasites (85.83%) isolated from flies caught at dumpsites D and B were higher than those isolated from flies caught in any of the other study sites. Conclusion: This study confirms filthy flies as mechanical transmitters of pathogens and emphasizes adopting control measures to prevent the possible spread of infections within the university community.
Fading is the most observed and frustrating problem in transmitting and receiving radio signals. A Study in correlation properties of fading helps to design proper communication systems that are robust to it. In this work, received power signal was obtained by drive-test technique. The analysis was determined using distribution fitting tool in Matlab software 7.5.0 (R2007b). The following fading distributions were used, Rayleigh, Rician, Nakagami-m, Lognormal and Weibull. Weibull fading distribution was found to give the best description of fading experienced in Ghana.On the other hand, Rician distribution, Nakagami-m distribution and lognormal distribution have less agreement with the measured data while Rayleigh fading distribution has much less agreement with measured data. The obtained mean scale parameter and the mean shape parameter in the Weibull distribution for the environment considered were 133.76 and 15.93, respectively. Furthermore, the path loss exponents in the near and far fields were also calculated; and the standard deviation of shadowing fell in the range of 4.368dB to 6.180dB.
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