Background. Microbial transmission from patient to patient has been linked to transient colonization of health care workers attires. Contamination of health care workers' clothing including white coats may play a big role in transmission of microbes. Study Objective. This study was conducted to determine the type of bacterial contamination on the white coats of medical doctors and students and associated factors. Methods. A cross-sectional study with purposive sampling of the bacterial contamination of white coats was undertaken. Demographic variables and white coats usage details were captured: when the coat was last washed, frequency of washing, washing agents used, and storage of the white coats. Swabs were collected from the mouth of left and right lower pockets, sleeves, and lapels of white coat in sterile techniques. Results. Out of 180 participants involved in the current study, 65.6% were males. Most of the coats were contaminated by staphylococci species and other bacteria such as Gram negative rods. Conclusion and Recommendations. White coats are potential source of cross infection which harbour bacterial agents and may play a big role in the transmission of nosocomial infection in health care settings. Effort should be made to discourage usage of white coats outside clinical areas.

ObjectiveThis study aimed to determine the spectrum and antibiogram of the isolated bacteria from patients presenting with infected wounds at Kilimanjaro Christian Medical Centre in northern Tanzania.ResultsBacterial growth was observed in the vast majority of wound swabs (91.4%). Most of the bacteria isolated (62.3%) were Gram-negative rods. Staphylococcus aureus was the most common isolated organism (16%) followed by other Coliforms and Enterococcus spp. (12.5% each). Enterococcus spp. (36.4%) was the most common isolated bacteria in diabetic wounds whereas S. aureus was the most common isolated bacteria from the wounds caused by trauma (40.0%) and surgical site infection (20.6%). Resistance was high to most common antibiotics used in the hospital.Electronic supplementary materialThe online version of this article (10.1186/s13104-017-3092-9) contains supplementary material, which is available to authorized users.

A B S T R A C TObjectives: To determine the antibiotic susceptibility and serotype distribution of colonizing Streptococcus pneumoniae in Tanzanian children. Serial cross-sectional surveys were performed following the national introduction of the 13-valent pneumococcal conjugate vaccine (PCV13) in December 2012. Methods: A total of 775 children less than 2 years of age were recruited at primary health centres in Moshi, Tanzania between 2013 and 2015, and samples were obtained from the nasopharynx. S. pneumoniae were isolated by culture and tested for antibiotic susceptibility by disc diffusion and E-test methods; molecular testing was used to determine serotype/group. Results: Penicillin non-susceptibility in the isolated pneumococci increased significantly from 31% (36/ 116) in 2013, to 47% (30/64) in 2014 and 53% (32/60) in 2015. Non-susceptibility to amoxicillin/ampicillin and ceftriaxone was low (n = 8 and n = 9, respectively), while 97% (236/244) of the isolates were nonsusceptible to trimethoprim-sulfamethoxazole. The majority of the children (54%, n = 418) had been treated with antibiotics in the past 3 months, and amoxicillin/ampicillin were overall the most commonly used antibiotics. Carriage of penicillin-non-susceptible pneumococci was more common in children with many siblings. The prevalence of PCV13 serotypes among the detected serotypes/groups decreased from 56% (40/71) in 2013 to 23% (13/56) in 2015.Conclusions: Penicillin non-susceptibility in S. pneumoniae colonizing Tanzanian children increased during an observation period shortly after the introduction of PCV13. Measures to ensure rational use of antibiotics and more effective systems for surveillance of antibiotic resistance and serotype distribution are needed to assure continued effective treatment of pneumococcal disease.

A strategy to prevent the spread of HIV-1 worldwide is complicated by the high genetic diversity of the virus. To gain a better understanding of the HIV-1 genetic diversity in Tanzania, a molecular epidemiological investigation was conducted in Kagera and Kilimanjaro regions. While several studies have addressed HIV-1 subtypes in Tanzania, this is the first study to describe the virus subtypes circulating in Kagera. The Kagera region is the epicenter of the HIV-1 epidemic in Africa, and it was therefore of interest to compare the prevalence of HIV subtypes in this region and Kilimanjaro. Blood samples were obtained from 246 HIV-1-infected pregnant women attending antenatal clinics. Plasma HIV-1 RNA was extracted, amplified, and sequenced in the env C2V3 and/or pol regions from 209 samples. Based on the analysis of env C2V3 and pol sequences, 47.4% had concordant subtypes, 19.1% were discordant indicating recombination, and for 33.5% sequences were obtained for only one region. The distribution HIV-1 subtypes based on the phylogenetic analysis of paired env C2V3/ pol sequences in Kagera region was A/A (27.8%), C/C (29.6%), D/D (16.7%), and unique recombinant forms (25.9%), and in Kilimanjaro region was A/A (32.9%), C/C (25.9%), D/D (10.6%), CRF10_CD (1.2%), and unique recombinant forms (29.4%). The env C2V3 subsubtype A2 and env C2V3/pol CRF10_CD were also observed indicating that these recombinants are circulating in Tanzania. The high diversity of HIV-1 subtypes and the high prevalence of recombinants demonstrated in this study necessitate expanded and continuous monitoring of the epidemic in Tanzania. The trend may have implications for current national control strategies against the HIV-1 epidemic.

Background: Access to antiretroviral drugs for HIV-1 infection has increased in sub-Saharan Africa (SSA) during the past few years. Mutations in the HIV-1 genome are often associated with treatment failure as indicated by viral replication and elevated levels of virus in the blood. Mutations conferring resistance to antiretroviral drugs are based on comparing gene sequences with corresponding consensus sequences of HIV-1 subtype B that represents only 10% of the AIDS pandemic. The HIV pandemic in SSA is characterized by high viral genetic diversity. Before antiretroviral drugs become more widely available, it is important to characterize baseline naturally occurring genetic mutations and polymorphisms associated with antiretroviral drug resistance among circulating HIV-1 subtypes.