Purpose: The emergence of multidrug-resistant bacteria remains as one of the major impediments towards the prevention and treatment of microbial infections and continues to be a serious threat to medicine. Henceforth, this study aimed at elucidating the antimicrobial resistance profiles of diarrheagenic E. coli (DEC) and Salmonella species recovered from diarrheal patients in selected rural communities of the Amathole District Municipality (ADM), Eastern Cape Province, South Africa (SA). Methods: The antimicrobial resistance profiles of diarrheagenic E. coli (DEC) and Salmonella isolates were evaluated using antimicrobial susceptibility tests and the relevant antimicrobial resistance factors were elucidated by the Polymerase Chain Reaction technique. Results: A sum of 324 diarrheagenic E. coli (DEC) and 62 Salmonella isolates were recovered from diarrheal stool specimens collected amongst diarrheal patients admitted in medical facilities/health-care centers within the ADM in the Eastern Cape Province, South Africa. Multiple antimicrobial resistance index mean values of 0.7 and 0.5 for DEC and Salmonella isolates, respectively, were observed in this study, indicating that these isolates were from sources where antimicrobials were frequently used. The antimicrobial resistance factors ampC, bla_TEM, SulI and II, tet A and aadA were detected among antimicrobial-resistant DEC pathotypes and Salmonella isolates recovered in this study. Conclusion: The occurrence of the multiple antimicrobial-resistant DEC and Salmonella isolates with the relevant antimicrobial resistance factors in this study suggests a portentous human health threat associated with diarrhea and a major deterrent in medicine.

Wastewater Based Surveillance (WBS) has emerged as a novel monitoring tool for tracking and estimating the dissemination of the Novel Coronavirus Disease 2019 (COVID-19) within communities. The goal of this review is to assess the factors that influence estimations of SARS-CoV-2 RNA concentration estimations in wastewater. A literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) criteria in the electronic databases Scopus, PubMed, Google Scholar, and Medline. The overall quality, sample methodologies, quantification methods, and estimating approaches of selected papers were assessed. Our findings reveal that 16 out of 24 articles (67 %) focused on physiochemical analyses. This review showed that sampling strategies and laboratory methodologies play a crucial role in the detection of SARS-CoV-2 RNA in wastewater samples. Moreover, we found that WBS-based estimation of COVID-19 is influenced by several factors such as wastewater temperature, shedding rate, and population size. This review reveals that the identified parameters require adjustments to achieve optimum conditions that accurately predict community infections. Including these factors that influence the estimation of SARS-CoV-2 RNA concentration in wastewater is essential for developing effective public health strategies to combat the spread of COVID-19.

The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater has been reported in several studies and similar research can be used as a proxy for an early warning of potential Coronavirus disease 2019 (COVID-19) outbreaks. This study focused on profiling the incidence of SARS-CoV-2 genomes in wastewater samples obtained from facilities located in the Buffalo City Municipality. Raw samples were collected weekly using the grab technique for a period of 48 weeks. Ribonucleic acids were extracted from the samples, using the QIAGEN Powersoil Total RNA Extraction kit, and extracted RNA samples were further profiled for the presence of SARS-CoV-2 genomes using Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) technique. Furthermore, various environmental matrices were utilized to estimate the potential health risk to plant operators associated with exposure to SARS-CoV-2 viral particles using the quantitative microbiological risk assessment (QMRA) model. Our findings revealed the prevalence of SARS-CoV-2 genomes with concentrations that ranged from 0.22 $\times {10}^3$ to 17.60 $\times {10}^3$ genome copies per milliliter (GC/mL). Different exposure scenarios were employed for the QMRA model, and the findings indicate a probability of infection (P(i)) ranging from 0.93% to 37.81% across the study sites. Similarly, the P(i) was highly significant (p < 0.001) for the 20 mL volumetric intake as compared to other volumetric intake scenarios, and high P(i) was also observed in spring, autumn, and winter for all WWTPs. The P(i) was significantly different (p < 0.05) with respect to the different seasons and with respect to different volume scenarios.

Objective: Cryptosporidium and Rotavirus agents have been associated with severe diarrheal illnesses and remain as one of the worst human health burdens in most developing regions. In the present study, we evaluated the incidences of Cryptosporidium and Rotavirus in diarrheal stool specimens of patients in some rural settlements of the Amathole District Municipality in the Eastern Cape Province, South Africa. Stool specimens from diarrheal children and elderly individuals were collected from clinics and hospitals within the rural communities of the region over a period of 21 months (February 2017–November 2018). Commercial enzyme-immuno-assays were used for the detection of Rotavirus and Cryptosporidium pathogens from processed diarrheal stool specimens. Results: A total of 53 fresh stool samples from diarrheal patients were screened and 36% of the diarrheagenic stool specimens tested positive for Group A Rotavirus antigens, while 5.7% tested positive for Cryptosporidium antigens. Our findings reveal Rotavirus and Cryptosporidium pathogens as important etiological agents associated with diarrheal illnesses in children, among the rural hinterlands of the Amathole District Municipality.

The COVID-19 pandemic (Coronavirus disease 2019) remains problematic in all its manifestations on the global stage where countless events of human-to-human exposure have led to fatal cases; thus, the aftermath being an unprecedented public health concern, with inaccessible health care and the instability of economies and financial institutions. These pose massive obstacles that can insatiably devour existing human resources causing negative impacts, especially in developing countries. Tracking the origin, dissemination and mutating strains of the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) on population-wide scales is a somewhat overwhelming task, with the urgent need to map the dissemination and magnitude of SARS-CoV-2 in near real-time. This review paper focuses on the poor sanitation of some waterbodies and wastewater management policies in low-income African countries, highlighting how these contribute to the COVID-19 pandemic on the continent. Since the outbreak of the novel coronavirus pandemic, there has been an upsurge in scientific literature and studies concerning SARS-CoV-2 with different opinions and findings. The current paper highlights the challenges and also summarizes the environmental aspects related to the monitoring and fate of the SARS-CoV-2 genomes in the aquatic milieu of Sub-Saharan Africa.