Many diseases in Africa such as malaria are known to be sensitive to climate factors there is a positive correlation between malaria, cholera and meningitis, and climatic elements. Regular limits of malaria allocation indicate that malaria could develop for several months in most areas of Sudan due to climate variables. The study found that the malaria cases related to temperature increasing was clearly recognized in the Northern State with 1.59% out of the state population. The highest endemic state was Blue Nile with 2.45% in the Rich Wet Savannah, and the lowest state of malaria infections was Western Darfur with 0.06% cases. The total of malaria infections in northern Sudan is 15.19% of 29 million population, the prevalence of malaria in southern Sudan was 24.5% of 9.5 million population (including 2004 and 2005 returnees) of those examined were infected. Whilst in Khartoum State the mean number of cases increased to reach 60869 in the study period 5.5 million of population as the largest inhibited state.

Enteric fever has persistence of great impact in Sudanese public health especially during rainy season when the causative agent Salmonella enterica serovar Typhi possesses pan endemic patterns in most regions of Sudan - Khartoum. The present study aims to assess the recent state of antibiotics susceptibility of Salmonella Typhi with special concern to multidrug resistance strains and predict the emergence of new resistant patterns and outbreaks. Salmonella Typhi strains were isolated and identified according to the guidelines of the International Standardization Organization and the World Health Organization. The antibiotics susceptibilities were tested using the recommendations of the Clinical Laboratories Standards Institute. Predictions of emerging resistant bacteria patterns and outbreaks in Sudan were done using logistic regression, forecasting linear equations and in silico simulations models. A total of 124 antibiotics resistant Salmonella Typhi strains categorized in 12 average groups were isolated, different patterns of resistance statistically calculated by (y = ax − b). Minimum bactericidal concentration’s predication of resistance was given the exponential trend (y = n ex) and the predictive coefficient R2 > 0 < 1 are approximately alike. It was assumed that resistant bacteria occurred with a constant rate of antibiotic doses during the whole experimental period. Thus, the number of sensitive bacteria decreases at the same rate as resistant occur following term to the modified predictive model which solved computationally. This study assesses the prediction of multi-drug resistance among S. Typhi isolates by applying low cost materials and simple statistical methods suitable for the most frequently used antibiotics as typhoid empirical therapy. Therefore, bacterial surveillance systems should be implemented to present data on the aetiology and current antimicrobial drug resistance patterns of community-acquired agents causing outbreaks.

This study was conducted during the 2004-2006 epidemic of meningitis in Sudan to follow-up the frequency of disease outbreak or endemic waves and to evaluate the new quadrivalent vaccine for actual application. Samples were collected from Darfur, El Gedaref, Kassala and Khartoum States and transported to the National Health Central Laboratory in Khartoum. Of 196 patients with clinical symptoms and signs of meningitis, conventional culture identified Neisseria meningitidis in 37 (189%), confirmed by polymerase chain reaction. N. meningitidis type A was identified in 29 (78.4%) patients, type C in 3 (8.1%) and N. meningitidis W135 in 5 (15.5%). The serotyping and molecular diagnosis patterns of N. meningitidis showed the emergence of the new strain, W135, in 5 (15.5%). The patients from the borders of Sudan, 3 from the West Darfur, and 1 each from El Gedaref and Kassala. These could be related to the movement of pilgrims through the borders to Saudi Arabia in the Hajj season. Serious consideration may be needed for quadrivalent vaccination to prevent seasonal and Hajj season outbreaks.

Bacteriophage virolysins or lytic enzymes are bacterial peptidoglycan hydrolases responsible for lysing bacterial cells. Consequently, they are used as enzybiotics alongside with bacteriophage therapy to remedy multi-drug resistant Salmonella typhi. The objective of this study was to evaluate the potentiality of lytic bacteriophages and their virolysins in curing multi-drug resistant S. typhi. S. typhi was isolated and identified according to WHO and ISO guidelines. Antibiotics susceptibilities were tested using CLSI recommendations. Correspondingly, bacteriophage-lysing efficiency was assayed by plaques formation using the double-layer agar technique. Virolysins were extracted using ultracentrifugation and purified by dialysis after buffering in ammonium sulfate. Virolysins activity was determined by measuring the reaction mixtures spectrophotometrically (bacteria incubated as substrate in 37°C for 4 h). The phages and virolysins kinetics exponential rates were calculated using specific differential equations. Susceptibility data plotted based on antibiogram criteria confirmed that 33% of S. typhi isolates were multi-drug resistant. For bacteriophage replication and multiplicity of infection, phages were amplified to produce the maximum particles of titers. The phage titration data fit on sonogram revealed exponential decay of S. typhi incubated for 12 h. Meanwhile, the enzyme kinetics exponential decay on double reciprocal plot showed irretrievable relationship of host decay in 4 h. Since phages depend on their lytic cycle in lysing bacterial host, their enzymes have more capability in decaying the host; besides they are safe and time-saving when used in the treatment of antibiotics resistant S. typhi. Key words: Antibiotics, bacteriophage, enzybiotics, Salmonella typhi, virolysins.