The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), with clinical manifestation cases that are almost similar to those of common respiratory viral infections. This study determined the prevalence of SARS-CoV-2 and other acute respiratory viruses among patients with flu-like symptoms in Bukavu city, Democratic Republic of Congo. We screened 1352 individuals with flu-like illnesses seeking treatment in 10 health facilities. Nasopharyngeal swab specimens were collected to detect SARS-CoV-2 using real-time reverse transcription-polymerase chain reaction (RT-PCR), and 10 common respiratory viruses were detected by multiplex reverse transcription-polymerase chain reaction assay. Overall, 13.9% (188/1352) of patients were confirmed positive for SARS-CoV-2. Influenza A 5.6% (56/1352) and Influenza B 0.9% (12/1352) were the most common respiratory viruses detected. Overall, more than two cases of the other acute respiratory viruses were detected. Frequently observed symptoms associated with SARS-CoV-2 positivity were shivering (47.8%; OR = 1.8; CI: 0.88–1.35), cough (89.6%; OR = 6.5, CI: 2.16–28.2), and myalgia and dizziness (59.7%; OR = 2.7; CI: 1.36–5.85). Moreover, coinfection was observed in 12 (11.5%) specimens. SARS-CoV-2 and influenza A were the most cooccurring infections, accounting for 33.3% of all positive cases. This study demonstrates cases of COVID-19 infections cooccurring with other acute respiratory infections in Bukavu city during the ongoing outbreak of COVID-19. Therefore, testing for respiratory viruses should be performed in all patients with flu-like symptoms for effective surveillance of the transmission patterns in the COVID-19 affected areas for optimal treatment and effective disease management.

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African swine fever (ASF) is a notifiable contagious disease caused by the African swine fever virus (ASFV), leading to a serious socio-economic impact, constraining pig industry, and affecting food security worldwide. This study aimed to detect and characterize ASFV strains from suspected infected domestic pigs in two South-Kivu province districts of the Democratic Republic of the Congo (DRC). A total of 155 pig samples were screened for viral DNA and sequencing at multiple loci. An infection rate of 5.2% (8/155) was recorded from a total of 155 blood samples with the highest ASFV infection rate of 8% for Uvira (6/75) and mostly in female pigs 5 (7.6%). Most ASF associated clinical signs were redness on the skin and snout at 49% (95% CI: 21–34), followed by the unwillingness of pigs to stand at 29 % (95%, CI: 19–35). Phylogenetic analysis of partial B646L (p72) and the full-length E183 (p54) gene sequences revealed the circulation of genotypes IX and X, which clustered with previously reported viruses in the same region, Uganda, Kenya, and Tanzania. Intragenotypic resolution of the CVR region clustered the viruses into two subgroups: the genotype X strain subgroup (10 repeats, AAAABNAABA) and the genotype IX strain subgroup (11 repeats, AAAAAAAAAAF). This finding provides additional evidence that genetically similar ASFV strains may be circulating within South Kivu province and highlights the need for improved coordination to prevent the spread of the disease in non-infected areas.

Maize lethal necrosis disease (MLND) is a devastating viral disease of maize caused by double infection with Maize chlorotic mottle virus (MCMV) and any one of the Potyviridae family members. Management of MLND requires effective resistance screening and surveillance tools. In this study, we report the use of small RNA (sRNA) profiling to detect MLND causal viruses and further the development of alternative detection markers for use in routine surveillance of the disease‐causing viruses. Small RNAs (sRNAs) originating from five viruses namely MCMV, Sugarcane mosaic virus (SCMV), Maize streak virus (MSV), Maize‐associated totivirus (MATV) and Maize yellow mosaic virus (MYMV) were assembled from infected maize samples collected from MLND hot spots in Kenya. The expression of the identified viral domains was further validated using quantitative real‐time PCR. New markers for the detection of some of the MLND causal viruses were also developed from the highly expressed domains and used to detect the MLND‐causative viruses in maize and alternative hosts. These findings further demonstrate the potential of using sRNAs especially from highly expressed viral motifs in the detection of MLND causal viruses. We report the validation of new sets of primers for use in detection of the most common MLND causal viruses MCMV and SCMV in East Africa.

The coronavirus 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with clinical manifestation cases are almost similar to those of common respiratory viral infections. This study determined the prevalence of SARS-CoV-2 and other acute respiratory viruses among patients with flu-like symptoms in Bukavu city Democratic republic of Congo. We screened 1352 individuals with flu-like illnesses seeking treatment in 10 health facilities. Nasopharyngeal swabs specimens were collected to detect SARS-CoV-2 using real-time reverse transcription-polymerase chain reaction (RT-PCR) and 10 common respiratory viruses were detected by multiplex reverse transcription polymerase chain reaction assay. Overall, 13.9% (188/1352) patients were confirmed positive for SARS-CoV-2. Influenza A 5.6% (56/1352), and Influenza B 0.9% (12/1352) were the most common respiratory viruses detected. Overall more than two cases of the other acute respiratory viruses were detected. Frequently observed symptoms associated with SARS-CoV-2 positivity were shivering (47.8%; OR= 1.8; CI: 0.88-1.35), cough (89.6%; OR=6.5, CI: 2.16-28.2), myalgia and dizziness (59.7%; OR=2.7; CI: 1.36-5.85). Moreover, coinfection was observed in 12 (11.5%) specimens. SARS-CoV-2, and Influenza A were the most co-occurring infections, accounting for 33.3% of all positive cases. This study demonstrates cases of COVID-19 infections co-occurring with other acute respiratory infections in Bukavu city during the ongoing outbreak of COVID-19. These data emphasize the need for routine testing of multiple viral pathogens for better prevention and treatment plans. Keywords: SARS-CoV-2, respiratory viruses, flu-like symptoms, coinfection; Bukavu city.