Identifying the dissemination patterns and impacts of a virus of economic or health importance during a pandemic is crucial, as it informs the public on policies for containment in order to reduce the spread of the virus. In this study, we integrated genomic and travel data to investigate the emergence and spread of the SARS-CoV-2 B.1.1.318 and B.1.525 (Eta) variants of interest in Nigeria and the wider Africa region. By integrating travel data and phylogeographic reconstructions, we find that these two variants that arose during the second wave in Nigeria emerged from within Africa, with the B.1.525 from Nigeria, and then spread to other parts of the world. Data from this study show how regional connectivity of Nigeria drove the spread of these variants of interest to surrounding countries and those connected by air-traffic. Our findings demonstrate the power of genomic analysis when combined with mobility and epidemiological data to identify the drivers of transmission, as bidirectional transmission within and between African nations are grossly underestimated as seen in our import risk index estimates.

Background Streptococcus agalactiae (Group B Streptococcus, GBS) is one of the major bacterial pathogens responsible for neonatal sepsis. Whole genome sequencing has, in recent years, emerged as a reliable tool for capsular typing and antimicrobial resistance prediction. This study characterized vaginal and rectal isolates of Group B Streptococcus obtained from pregnant women in Port Harcourt, Nigeria using a whole-genome sequence-based approach. Results Capsular types Ia, Ib, II, III, IV and V were detected among the 43 isolates sequenced. Twelve sequence types (STs) were identified, with ST19 (n = 9, 27.3 %) and ST486 (n = 5, 15.2 %) the most frequent among non-duplicated isolates. Of the alpha-like proteins (alp) identified, Alp1 was the most prevalent in 11 (33.3 %) isolates. Macrolide and lincosamide resistance determinants were present in 15 (45.5 %) isolates; ermB was detected in 1 (3 %), ermTR in 7 (21.2 %) isolates, lnu gene was detected in 6 (18.2 %) and mef was identified in 3 (9.1 %) isolates. Resistance of GBS to erythromycin and clindamycin (predicted from presence of erm or mef genes) was found to be 30.3 % and 24.2 %, respectively. All isolates were predicted resistant to tetracycline with only the tetM gene identified. Fluoroquinolone-resistance conferring substitutions in gyrA + parC were detected in 9 (27.3 %) isolates and chloramphenicol resistance was predicted from presence of aac6’-aph2 gene in 11 (33.3 %). Conclusions The data available from the whole genome sequencing of these isolates offers a small but insightful description of common serotypes and resistance features within colonizing GBS in Nigeria.

Background: Frontline health workers are faced with the overwhelming responsibility of caring for patients infected with the Coronavirus and this has seriously affected their physical and mental health status due to the rapid spread of the disease globally and the unprepared state of health workers who were recruited with little or no skills in infectious disease care. This study describes the experiences of healthcare workers involved in the management of COVID-19 patients. Methods: A qualitative study design was employed, using a phenomenological approach. In-depth interviews were conducted by telephone on health workers selected purposively from the four COVID-19 treatment centers. The health workers consisted of seven doctors, three nurses, and two hygienists. Results: Data collected were transcribed and content analysis was done using Atlas. Ti. Some major highlights identified include; the bravery and commitment of health workers despite their proximity to patients, the anxiety and fear of becoming infected, the inconveniencing nature of the PPEs and its effect on their work efficiency, the patients mental and health status on admission (denial, fear, co-morbidities, need for special attention), and other challenges (boredom, shortage of personal protective equipment and medications, the need for special diet and privacy by some patients). Suggestions that emerged were; training, government action, and installing security cameras in patients’ wards.  Conclusion: Findings indicate the need for training health workers to enhance preparedness for future pandemics, provision of psycho-social support for health workers and patients, and government commitment.

Identifying the dissemination patterns and impacts of a virus of economic or health importance during a pandemic is crucial, as it informs the public on policies for containment in order to reduce the spread of the virus. In this study, we integrated genomic and travel data to investigate the emergence and spread of the B.1.1.318 and B.1.525 variants of interest in Nigeria and the wider Africa region. By integrating travel data and phylogeographic reconstructions, we find that these two variants that arose during the second wave emerged from within Africa, with the B.1.525 from Nigeria, and then spread to other parts of the world. Our results show how regional connectivity in downsampled regions like Africa can often influence virus transmissions between neighbouring countries. Our findings demonstrate the power of genomic analysis when combined with mobility and epidemiological data to identify the drivers of transmission in the region, generating actionable information for public health decision makers in the region.