Browsing by Author "Mgode, Georgies"

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New Leptospira serovar Sokoine of serogroup Icterohaemorrhagiae from cattle in Tanzania
(Microbiology Society, 2006-04) Mgode, Georgies; Machang'u, Robert S; Goris, Marga; Engelberts, Mirjam F M
The prevalence of leptospirosis is generally high in domestic animals and rodents in Tanzania. Identification of Leptospira isolates from cattle was carried out to establish prevalent Leptospira serovars. Serological typing was done based on monoclonal antibodies and the standard cross-agglutination absorption test. Molecular typing involved pathogenic- and saprophytic-specific PCRs and a PCR specifically amplifying DNA from the species Leptospira kirschneri. DNA fingerprinting with primers derived from sequences of insertion elements IS1500 and IS1533 was carried out. Both serological and molecular characterization indicated that one of the Leptospira isolates, coded RM1, represents a new serovar of the species L. kirschneri of serogroup Icterohaemorrhagiae. The serovar name Sokoine is proposed for this new Leptospira isolate.
Potential mammalian reservoirs in a bubonic plague outbreak focus in Mbulu District, northern Tanzania, in 2007
(Walter de Gruyte, 2008) Makundi, Rhodes H.; Massawe, A. W.; Mulungu, L.S.; Katakweba, Abdul; Mbise, Thomas; Mgode, Georgies
This study investigated mammalian involvement in an outbreak of bubonic plague in Mbulu District, northern Tanzania, in March 2007. Plague is a rodent-borne zoo- notic disease that spreads to humans through fleas infected with Yersinia pestis. Live trapping of rodents and shrews was conducted in fallow and crop fields, peri- domestic areas, houses and the neighboring forest reserve. Serum was separated from blood of captured animals. A rapid diagnostic test (RDT) was used for diag- nosis of plague infection. An ELISA technique was used to detect antibodies against Yersinia pestis fraction 1 antigen. Wild and commensal rodents tested positive by RDT, indicating current infection in clinically healthy ani- mals. The ELISA showed that wild rodents (Lophuromys flavopunctatus, Praomys delectorum, Graphiurus muri- nus, Lemniscomys striatus) and commensal rats (Rattus rattus, Mastomys natalensis, Mus minutoides) were Y. pestis-positive. Two potential vectors, Xenopsylla brasi- liensis and Dinopsyllus lypusus, were found on wild and commensal rodents with a flea index of 1.8. We conclude that diverse potential mammalian reservoirs and efficient vectors of Y. pestis are present in abundance in Dongo- besh and could lead to persistence and future plague outbreaks.
Short report: using giant African pouched rats to detect tuberculosis in human sputum samples: 2009 finding
(The American Society of Tropical Medicine and Hygien, 2010) Poling, Alan; Weetjens, Bart J.; Cox, Christophe; Mgode, Georgies; Jubitana, Maureen; Kazwala, Rudovic; Mfinanga, Godfrey S.; Huis, Diana
In 2009, giant African pouched rats trained to detect tuberculosis (TB) evaluated sputum samples from 10,523 patients whose sputum had previously been evaluated by smear microscopy. Microscopists found 13.3% of the patients to be TB-positive. Simulated second-line screening by the rats revealed 620 new TB-positive patients, increasing the case detection rate by 44%. These data suggest that the rats may be useful for TB detection in developing countries, although further research is needed.
Visual analytics of tuberculosis detection rat Performance
(Online Journal of Public Health Informatics, 2021) Jonathan, Joan; Sanga, Camilius; Mwita, Magesa; Mgode, Georgies
The diagnosis of tuberculosis (TB) disease remains a global challenge, and the need for innovative diagnostic approaches is inevitable. Trained African giant pouched rats are the scent TB detection technology for operational research. The adoption of this technology is beneficial to countries with a high TB burden due to its cost-effectiveness and speed than microscopy. However, rats with some factors perform better. Thus, more insights on factors that may affect performance is important to increase rats’ TB detection performance. This paper intends to provide understanding on the factors that influence rats TB detection performance using visual analytics approach. Visual analytics provide insight of data through the combination of computational predictive models and interactive visualizations. Three algorithms such as Decision tree, Random Forest and Naive Bayes were used to predict the factors that influence rats TB detection performance. Hence, our study found that age is the most significant factor, and rats of ages between 3.1 to 6 years portrayed potentiality. The algorithms were validated using the same test data to check their prediction accuracy. The accuracy check showed that the random forest outperforms with an accuracy of 78.82% than the two. However, their accuracies difference is small. The study findings may help rats TB trainers, researchers in rats TB and Information systems, and decision makers to improve detection performance. This study recommends further research that incorporates gender factors and a large sample size.