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Abstract Background Malaria is a significant public health challenge in Uganda, with Plasmodium falciparum (P. falciparum) responsible for most of malaria infections. The high genetic diversity and multiplicity of infection (MOI) associated with P. falciparum complicate treatment and prevention efforts. This study investigated temporal changes in P. falciparum genetic diversity and MOI across three sites with varying malaria transmission intensities. Understanding these changes is essential for informing effective malaria control strategies for the different malaria transmission settings. Methods A total of 220 P. falciparum-positive dried blood spot (DBS) filter paper samples from participants in a study conducted during 2011–2012 and 2015–2016 were analyzed. Genotyping utilized seven polymorphic markers: Poly-α, TA1, TA109, PfPK2, 2490, C2M34–313, and C3M69–383. Genetic diversity metrics, including the number of alleles and expected heterozygosity, were calculated using GENALEX and ARLEQUIN software. MOI was assessed by counting distinct genotypes. Multi-locus linkage disequilibrium (LD) and genetic differentiation were evaluated using the standardized index of association (IA S) and Wright's fixation index (FST), respectively. Statistical comparisons were made using the Kruskal–Wallis test, and temporal trends were analyzed using the Jonckheere–Terpstra test, with statistical significance set at p

Abstract Background The introduction of antiretroviral therapy (ART) and the implementation of the human immunodeficiency virus (HIV) universal test and treat (UTT) policy have led to a decline in the incidence of opportunistic infections. However, oropharyngeal and oral candidiasis remain prevalent and continue to pose challenges among people living with human immunodeficiency virus (PLHIV) in Africa, indicating the need for a better understanding of the distribution of Candida species responsible for these infections. This systematic review and meta-analysis aimed to determine the distribution of Candida species isolated from PLHIV with oropharyngeal and oral candidiasis in Africa in the era of UTT policy. Methods The review followed the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines. A comprehensive search was conducted to identify eligible studies to be included in the meta-analysis and analysed using a random effects model in STATA version 17. The risk of bias was assessed using the Joanna Briggs Institute quality assessment tool. Results Fourteen studies with 4281 participants were included in the review. Overall, 2095 Candida isolates were reported, 78.7% (1650/2095) of which were C. albicans, 19.6% (410/2095), non-albicans Candida (NAC), and 1.7% (35/2095) could not be identified to the Candida specific species level. The most prevalent NAC species were C. glabrata (26.3%), followed by C. tropicalis (24.9%), C. krusei (15.6%), C. parapsilosis (11%), and C. dubliniensis (6.3%). The pooled prevalence of oropharyngeal and oral candidiasis was 48% (95% CI 34–62%). The prevalence of oropharyngeal candidiasis was higher in the pre-UTT era, at 56% (95% CI 40–72%, p

Abstract Introduction The COVID-19 pandemic is still a public health concern in South Sudan having caused suffering since the first case of COVID-19 was introduced on 28th February 2020. COVAX vaccines have since been introduced using a number of strategies including fixed site, temporary mobile, hit and run in flooded and conflict affected areas. We aim to describe the 2 ICVOPT campaigns that were conducted to improve the uptake and document lessons learnt during the initial rollout of the COVID-19 vaccination programin South Sudan between February 2022 and June 2022 each lasting for 7-days. Methodology We conducted an operational cross-sectional descriptive epidemiological study of a series of the intensified COVID-19 vaccination Optimization (ICVOPT) campaigns from February 2022 to June 2022. Before the campaign, a bottom up micro-planning was conducted, validated by the County Health Departments (CHDs) and national MOH team. Each of the 2 campaigns lasted for 7 days targeting 30% of the eligible unvaccinated target population who were18 years and above. Each team consisted of 2 vaccinators, 2 recorders and 1 mobilizer. The teams employed both fixed site, temporary mobile, hit and run in flooded and conflict affected areas. The number of teams were calculated based on the daily workload per day (80 persons per team/day) for the duration of the campaigns. Results A total of 444,030 individuals were vaccinated with primary series COVID-19 vaccine (J&J) out of the targeted 635,030 persons. This represented 69.9% of target population in the selected 28 counties and 10 states of South Sudan in 7 days’ ICVOPT campaigns. More eligible persons were reached in 7 days campaigns than the 9 months of rollout of the COVID-19 vaccine prior to ICVOPT campaigns using the fixed site strategy at the health facility posts. Conclusion Intensified COVID-19 vaccination Optimization (ICVOPT) campaigns were vital and fast in scaling up vaccination coverages as compared to the fixed site vaccination strategies (2022 progress report on the Global Action Plan for Healthy Lives and Well-being for All Stronger collaboration for an equitable and resilient recovery towards the health-related Sustainable Development Goals, incentivizing collaboration, 2022) in complex humanitarian emergency settings and hard-to-reach areas of South Sudan.

BackgroundFungal-bacterial cocolonization and coinfections pose an emerging challenge among patients suspected of having pulmonary tuberculosis (PTB); however, the underlying pathogenic mechanisms and microbiome interactions are poorly understood. Understanding how environmental microbes, such as fungi and bacteria, coevolve and develop traits to evade host immune responses and resist treatment is critical to controlling opportunistic pulmonary fungal coinfections. In this project, we propose to study the coexistence of fungal and bacterial microbial communities during chronic pulmonary diseases, with a keen interest in underpinning fungal etiological evolution and the predominating interactions that may exist between fungi and bacteria. ObjectiveThis is a protocol for a study aimed at investigating the metabolic and molecular ecological evolution of opportunistic pulmonary fungal coinfections through determining and characterizing the burden, etiological profiles, microbial communities, and interactions established between fungi and bacteria as implicated among patients with presumptive PTB. MethodsThis will be a laboratory-based cross-sectional study, with a sample size of 406 participants. From each participant, 2 sputa samples (one on-spot and one early morning) will be collected. These samples will then be analyzed for both fungal and bacterial etiology using conventional metabolic and molecular (intergenic transcribed spacer and 16S ribosomal DNA–based polymerase chain reaction) approaches. We will also attempt to design a genome-scale metabolic model for pulmonary microbial communities to analyze the composition of the entire microbiome (ie, fungi and bacteria) and investigate host-microbial interactions under different patient conditions. This analysis will be based on the interplays of genes (identified by metagenomics) and inferred from amplicon data and metabolites (identified by metabolomics) by analyzing the full data set and using specific computational tools. We will also collect baseline data, including demographic and clinical history, using a patient-reported questionnaire. Altogether, this approach will contribute to a diagnostic-based observational study. The primary outcome will be the overall fungal and bacterial diagnostic profile of the study participants. Other diagnostic factors associated with the etiological profile, such as incidence and prevalence, will also be analyzed using univariate and multivariate schemes. Odds ratios with 95% CIs will be presented with a statistical significance set at P

Relatively few coronavirus disease cases and deaths have been reported from sub-Saharan Africa, although the extent of its spread remains unclear. During August 10–September 11, 2020, we recruited 2,214 participants for a representative household-based cross-sectional serosurvey in Juba, South Sudan. We found 22.3% of participants had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor binding domain IgG titers above prepandemic levels. After accounting for waning antibody levels, age, and sex, we estimated that 38.3% (95% credible interval 31.8%–46.5%) of the population had been infected with SARS-CoV-2. At this rate, for each PCR–confirmed SARS-CoV-2 infection reported by the Ministry of Health, 103 (95% credible interval 86–126) infections would have been unreported, meaning SARS-CoV-2 has likely spread extensively within Juba. We also found differences in background reactivity in Juba compared with Boston, Massachusetts, USA, where the immunoassay was validated. Our findings underscore the need to validate serologic tests in sub-Saharan Africa populations.