5 results on '"Morobe, John M."'
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2. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance.
- Author
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Tegally H, San JE, Cotten M, Moir M, Tegomoh B, Mboowa G, Martin DP, Baxter C, Lambisia AW, Diallo A, Amoako DG, Diagne MM, Sisay A, Zekri AN, Gueye AS, Sangare AK, Ouedraogo AS, Sow A, Musa AO, Sesay AK, Abias AG, Elzagheid AI, Lagare A, Kemi AS, Abar AE, Johnson AA, Fowotade A, Oluwapelumi AO, Amuri AA, Juru A, Kandeil A, Mostafa A, Rebai A, Sayed A, Kazeem A, Balde A, Christoffels A, Trotter AJ, Campbell A, Keita AK, Kone A, Bouzid A, Souissi A, Agweyu A, Naguib A, Gutierrez AV, Nkeshimana A, Page AJ, Yadouleton A, Vinze A, Happi AN, Chouikha A, Iranzadeh A, Maharaj A, Batchi-Bouyou AL, Ismail A, Sylverken AA, Goba A, Femi A, Sijuwola AE, Marycelin B, Salako BL, Oderinde BS, Bolajoko B, Diarra B, Herring BL, Tsofa B, Lekana-Douki B, Mvula B, Njanpop-Lafourcade BM, Marondera BT, Khaireh BA, Kouriba B, Adu B, Pool B, McInnis B, Brook C, Williamson C, Nduwimana C, Anscombe C, Pratt CB, Scheepers C, Akoua-Koffi CG, Agoti CN, Mapanguy CM, Loucoubar C, Onwuamah CK, Ihekweazu C, Malaka CN, Peyrefitte C, Grace C, Omoruyi CE, Rafaï CD, Morang'a CM, Erameh C, Lule DB, Bridges DJ, Mukadi-Bamuleka D, Park D, Rasmussen DA, Baker D, Nokes DJ, Ssemwanga D, Tshiabuila D, Amuzu DSY, Goedhals D, Grant DS, Omuoyo DO, Maruapula D, Wanjohi DW, Foster-Nyarko E, Lusamaki EK, Simulundu E, Ong'era EM, Ngabana EN, Abworo EO, Otieno E, Shumba E, Barasa E, Ahmed EB, Ahmed EA, Lokilo E, Mukantwari E, Philomena E, Belarbi E, Simon-Loriere E, Anoh EA, Manuel E, Leendertz F, Taweh FM, Wasfi F, Abdelmoula F, Takawira FT, Derrar F, Ajogbasile FV, Treurnicht F, Onikepe F, Ntoumi F, Muyembe FM, Ragomzingba FEZ, Dratibi FA, Iyanu FA, Mbunsu GK, Thilliez G, Kay GL, Akpede GO, van Zyl GU, Awandare GA, Kpeli GS, Schubert G, Maphalala GP, Ranaivoson HC, Omunakwe HE, Onywera H, Abe H, Karray H, Nansumba H, Triki H, Kadjo HAA, Elgahzaly H, Gumbo H, Mathieu H, Kavunga-Membo H, Smeti I, Olawoye IB, Adetifa IMO, Odia I, Ben Boubaker IB, Muhammad IA, Ssewanyana I, Wurie I, Konstantinus IS, Halatoko JWA, Ayei J, Sonoo J, Makangara JC, Tamfum JM, Heraud JM, Shaffer JG, Giandhari J, Musyoki J, Nkurunziza J, Uwanibe JN, Bhiman JN, Yasuda J, Morais J, Kiconco J, Sandi JD, Huddleston J, Odoom JK, Morobe JM, Gyapong JO, Kayiwa JT, Okolie JC, Xavier JS, Gyamfi J, Wamala JF, Bonney JHK, Nyandwi J, Everatt J, Nakaseegu J, Ngoi JM, Namulondo J, Oguzie JU, Andeko JC, Lutwama JJ, Mogga JJH, O'Grady J, Siddle KJ, Victoir K, Adeyemi KT, Tumedi KA, Carvalho KS, Mohammed KS, Dellagi K, Musonda KG, Duedu KO, Fki-Berrajah L, Singh L, Kepler LM, Biscornet L, de Oliveira Martins L, Chabuka L, Olubayo L, Ojok LD, Deng LL, Ochola-Oyier LI, Tyers L, Mine M, Ramuth M, Mastouri M, ElHefnawi M, Mbanne M, Matsheka MI, Kebabonye M, Diop M, Momoh M, Lima Mendonça MDL, Venter M, Paye MF, Faye M, Nyaga MM, Mareka M, Damaris MM, Mburu MW, Mpina MG, Owusu M, Wiley MR, Tatfeng MY, Ayekaba MO, Abouelhoda M, Beloufa MA, Seadawy MG, Khalifa MK, Matobo MM, Kane M, Salou M, Mbulawa MB, Mwenda M, Allam M, Phan MVT, Abid N, Rujeni N, Abuzaid N, Ismael N, Elguindy N, Top NM, Dia N, Mabunda N, Hsiao NY, Silochi NB, Francisco NM, Saasa N, Bbosa N, Murunga N, Gumede N, Wolter N, Sitharam N, Ndodo N, Ajayi NA, Tordo N, Mbhele N, Razanajatovo NH, Iguosadolo N, Mba N, Kingsley OC, Sylvanus O, Femi O, Adewumi OM, Testimony O, Ogunsanya OA, Fakayode O, Ogah OE, Oludayo OE, Faye O, Smith-Lawrence P, Ondoa P, Combe P, Nabisubi P, Semanda P, Oluniyi PE, Arnaldo P, Quashie PK, Okokhere PO, Bejon P, Dussart P, Bester PA, Mbala PK, Kaleebu P, Abechi P, El-Shesheny R, Joseph R, Aziz RK, Essomba RG, Ayivor-Djanie R, Njouom R, Phillips RO, Gorman R, Kingsley RA, Neto Rodrigues RMDESA, Audu RA, Carr RAA, Gargouri S, Masmoudi S, Bootsma S, Sankhe S, Mohamed SI, Femi S, Mhalla S, Hosch S, Kassim SK, Metha S, Trabelsi S, Agwa SH, Mwangi SW, Doumbia S, Makiala-Mandanda S, Aryeetey S, Ahmed SS, Ahmed SM, Elhamoumi S, Moyo S, Lutucuta S, Gaseitsiwe S, Jalloh S, Andriamandimby SF, Oguntope S, Grayo S, Lekana-Douki S, Prosolek S, Ouangraoua S, van Wyk S, Schaffner SF, Kanyerezi S, Ahuka-Mundeke S, Rudder S, Pillay S, Nabadda S, Behillil S, Budiaki SL, van der Werf S, Mashe T, Mohale T, Le-Viet T, Velavan TP, Schindler T, Maponga TG, Bedford T, Anyaneji UJ, Chinedu U, Ramphal U, George UE, Enouf V, Nene V, Gorova V, Roshdy WH, Karim WA, Ampofo WK, Preiser W, Choga WT, Ahmed YA, Ramphal Y, Bediako Y, Naidoo Y, Butera Y, de Laurent ZR, Ouma AEO, von Gottberg A, Githinji G, Moeti M, Tomori O, Sabeti PC, Sall AA, Oyola SO, Tebeje YK, Tessema SK, de Oliveira T, Happi C, Lessells R, Nkengasong J, and Wilkinson E
- Subjects
- Africa epidemiology, Genomics, Humans, COVID-19 epidemiology, COVID-19 virology, Epidemiological Monitoring, Pandemics, SARS-CoV-2 genetics
- Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
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- 2022
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3. Transmission networks of SARS-CoV-2 in Coastal Kenya during the first two waves: A retrospective genomic study.
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Agoti CN, Ochola-Oyier LI, Dellicour S, Mohammed KS, Lambisia AW, de Laurent ZR, Morobe JM, Mburu MW, Omuoyo DO, Ongera EM, Ndwiga L, Maitha E, Kitole B, Suleiman T, Mwakinangu M, Nyambu JK, Otieno J, Salim B, Musyoki J, Murunga N, Otieno E, Kiiru JN, Kasera K, Amoth P, Mwangangi M, Aman R, Kinyanjui S, Warimwe G, Phan M, Agweyu A, Cotten M, Barasa E, Tsofa B, Nokes DJ, Bejon P, and Githinji G
- Subjects
- Genomics, Humans, Kenya epidemiology, Phylogeny, Retrospective Studies, COVID-19 epidemiology, SARS-CoV-2 genetics
- Abstract
Background: Detailed understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) regional transmission networks within sub-Saharan Africa is key for guiding local public health interventions against the pandemic., Methods: Here, we analysed 1139 SARS-CoV-2 genomes from positive samples collected between March 2020 and February 2021 across six counties of Coastal Kenya (Mombasa, Kilifi, Taita Taveta, Kwale, Tana River, and Lamu) to infer virus introductions and local transmission patterns during the first two waves of infections. Virus importations were inferred using ancestral state reconstruction, and virus dispersal between counties was estimated using discrete phylogeographic analysis., Results: During Wave 1, 23 distinct Pango lineages were detected across the six counties, while during Wave 2, 29 lineages were detected; 9 of which occurred in both waves and 4 seemed to be Kenya specific (B.1.530, B.1.549, B.1.596.1, and N.8). Most of the sequenced infections belonged to lineage B.1 (n = 723, 63%), which predominated in both Wave 1 (73%, followed by lineages N.8 [6%] and B.1.1 [6%]) and Wave 2 (56%, followed by lineages B.1.549 [21%] and B.1.530 [5%]). Over the study period, we estimated 280 SARS-CoV-2 virus importations into Coastal Kenya. Mombasa City, a vital tourist and commercial centre for the region, was a major route for virus imports, most of which occurred during Wave 1, when many Coronavirus Disease 2019 (COVID-19) government restrictions were still in force. In Wave 2, inter-county transmission predominated, resulting in the emergence of local transmission chains and diversity., Conclusions: Our analysis supports moving COVID-19 control strategies in the region from a focus on international travel to strategies that will reduce local transmission., Funding: This work was funded by The Wellcome (grant numbers: 220985, 203077/Z/16/Z, 220977/Z/20/Z, and 222574/Z/21/Z) and the National Institute for Health and Care Research (NIHR), project references: 17/63/and 16/136/33 using UK Aid from the UK government to support global health research, The UK Foreign, Commonwealth and Development Office. The views expressed in this publication are those of the author(s) and not necessarily those of the funding agencies., Competing Interests: CA, LO, SD, KM, AL, Zd, JM, MM, DO, EO, LN, EM, BK, TS, MM, JN, JO, BS, JM, NM, EO, JK, KK, PA, MM, RA, SK, GW, MP, AA, MC, EB, BT, DN, PB, GG No competing interests declared, (© 2022, Agoti et al.)
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- 2022
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4. Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol.
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Lambisia AW, Mohammed KS, Makori TO, Ndwiga L, Mburu MW, Morobe JM, Moraa EO, Musyoki J, Murunga N, Mwangi JN, Nokes DJ, Agoti CN, Ochola-Oyier LI, and Githinji G
- Abstract
Introduction: The ARTIC Network's primer set and amplicon-based protocol is one of the most widely used SARS-CoV-2 sequencing protocol. An update to the V3 primer set was released on 18th June 2021 to address amplicon drop-off observed among the Delta variant of concern. Here, we report on an in-house optimization of a modified version of the ARTIC Network V4 protocol that improves SARS-CoV-2 genome recovery in instances where the original V4 pooling strategy was characterized by amplicon drop-offs., Methods: We utilized a matched set of 43 clinical samples and serially diluted positive controls that were amplified by ARTIC V3, V4 and optimized V4 primers and sequenced using GridION from the Oxford Nanopore Technologies'., Results: We observed a 0.5% to 46% increase in genome recovery in 67% of the samples when using the original V4 pooling strategy compared to the V3 primers. Amplicon drop-offs at primer positions 23 and 90 were observed for all variants and positive controls. When using the optimized protocol, we observed a 60% improvement in genome recovery across all samples and an increase in the average depth in amplicon 23 and 90. Consequently, ≥95% of the genome was recovered in 72% ( n = 31) of the samples. However, only 60-70% of the genomes could be recovered in samples that had <28% genome coverage with the ARTIC V3 primers. There was no statistically significant ( p > 0.05) correlation between Ct value and genome recovery., Conclusion: Utilizing the ARTIC V4 primers, while increasing the primer concentrations for amplicons with drop-offs or low average read-depth, greatly improves genome recovery of Alpha, Beta, Delta, Eta and non-VOC/non-VOI SARS-CoV-2 variants., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Lambisia, Mohammed, Makori, Ndwiga, Mburu, Morobe, Moraa, Musyoki, Murunga, Mwangi, Nokes, Agoti, Ochola-Oyier and Githinji.)
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- 2022
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5. A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa.
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Wilkinson E, Giovanetti M, Tegally H, San JE, Lessells R, Cuadros D, Martin DP, Rasmussen DA, Zekri AN, Sangare AK, Ouedraogo AS, Sesay AK, Priscilla A, Kemi AS, Olubusuyi AM, Oluwapelumi AOO, Hammami A, Amuri AA, Sayed A, Ouma AEO, Elargoubi A, Ajayi NA, Victoria AF, Kazeem A, George A, Trotter AJ, Yahaya AA, Keita AK, Diallo A, Kone A, Souissi A, Chtourou A, Gutierrez AV, Page AJ, Vinze A, Iranzadeh A, Lambisia A, Ismail A, Rosemary A, Sylverken A, Femi A, Ibrahimi A, Marycelin B, Oderinde BS, Bolajoko B, Dhaala B, Herring BL, Njanpop-Lafourcade BM, Kleinhans B, McInnis B, Tegomoh B, Brook C, Pratt CB, Scheepers C, Akoua-Koffi CG, Agoti CN, Peyrefitte C, Daubenberger C, Morang'a CM, Nokes DJ, Amoako DG, Bugembe DL, Park D, Baker D, Doolabh D, Ssemwanga D, Tshiabuila D, Bassirou D, Amuzu DSY, Goedhals D, Omuoyo DO, Maruapula D, Foster-Nyarko E, Lusamaki EK, Simulundu E, Ong'era EM, Ngabana EN, Shumba E, El Fahime E, Lokilo E, Mukantwari E, Philomena E, Belarbi E, Simon-Loriere E, Anoh EA, Leendertz F, Ajili F, Enoch FO, Wasfi F, Abdelmoula F, Mosha FS, Takawira FT, Derrar F, Bouzid F, Onikepe F, Adeola F, Muyembe FM, Tanser F, Dratibi FA, Mbunsu GK, Thilliez G, Kay GL, Githinji G, van Zyl G, Awandare GA, Schubert G, Maphalala GP, Ranaivoson HC, Lemriss H, Anise H, Abe H, Karray HH, Nansumba H, Elgahzaly HA, Gumbo H, Smeti I, Ayed IB, Odia I, Ben Boubaker IB, Gaaloul I, Gazy I, Mudau I, Ssewanyana I, Konstantinus I, Lekana-Douk JB, Makangara JC, Tamfum JM, Heraud JM, Shaffer JG, Giandhari J, Li J, Yasuda J, Mends JQ, Kiconco J, Morobe JM, Gyapong JO, Okolie JC, Kayiwa JT, Edwards JA, Gyamfi J, Farah J, Nakaseegu J, Ngoi JM, Namulondo J, Andeko JC, Lutwama JJ, O'Grady J, Siddle K, Adeyemi KT, Tumedi KA, Said KM, Hae-Young K, Duedu KO, Belyamani L, Fki-Berrajah L, Singh L, Martins LO, Tyers L, Ramuth M, Mastouri M, Aouni M, El Hefnawi M, Matsheka MI, Kebabonye M, Diop M, Turki M, Paye M, Nyaga MM, Mareka M, Damaris MM, Mburu MW, Mpina M, Nwando M, Owusu M, Wiley MR, Youtchou MT, Ayekaba MO, Abouelhoda M, Seadawy MG, Khalifa MK, Sekhele M, Ouadghiri M, Diagne MM, Mwenda M, Allam M, Phan MVT, Abid N, Touil N, Rujeni N, Kharrat N, Ismael N, Dia N, Mabunda N, Hsiao NY, Silochi NB, Nsenga N, Gumede N, Mulder N, Ndodo N, Razanajatovo NH, Iguosadolo N, Judith O, Kingsley OC, Sylvanus O, Peter O, Femi O, Idowu O, Testimony O, Chukwuma OE, Ogah OE, Onwuamah CK, Cyril O, Faye O, Tomori O, Ondoa P, Combe P, Semanda P, Oluniyi PE, Arnaldo P, Quashie PK, Dussart P, Bester PA, Mbala PK, Ayivor-Djanie R, Njouom R, Phillips RO, Gorman R, Kingsley RA, Carr RAA, El Kabbaj S, Gargouri S, Masmoudi S, Sankhe S, Lawal SB, Kassim S, Trabelsi S, Metha S, Kammoun S, Lemriss S, Agwa SHA, Calvignac-Spencer S, Schaffner SF, Doumbia S, Mandanda SM, Aryeetey S, Ahmed SS, Elhamoumi S, Andriamandimby S, Tope S, Lekana-Douki S, Prosolek S, Ouangraoua S, Mundeke SA, Rudder S, Panji S, Pillay S, Engelbrecht S, Nabadda S, Behillil S, Budiaki SL, van der Werf S, Mashe T, Aanniz T, Mohale T, Le-Viet T, Schindler T, Anyaneji UJ, Chinedu U, Ramphal U, Jessica U, George U, Fonseca V, Enouf V, Gorova V, Roshdy WH, Ampofo WK, Preiser W, Choga WT, Bediako Y, Naidoo Y, Butera Y, de Laurent ZR, Sall AA, Rebai A, von Gottberg A, Kouriba B, Williamson C, Bridges DJ, Chikwe I, Bhiman JN, Mine M, Cotten M, Moyo S, Gaseitsiwe S, Saasa N, Sabeti PC, Kaleebu P, Tebeje YK, Tessema SK, Happi C, Nkengasong J, and de Oliveira T
- Subjects
- Africa epidemiology, COVID-19 transmission, COVID-19 virology, Genetic Variation, Humans, SARS-CoV-2 isolation & purification, COVID-19 epidemiology, Epidemiological Monitoring, Genomics, Pandemics, SARS-CoV-2 genetics
- Abstract
The progression of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in Africa has so far been heterogeneous, and the full impact is not yet well understood. In this study, we describe the genomic epidemiology using a dataset of 8746 genomes from 33 African countries and two overseas territories. We show that the epidemics in most countries were initiated by importations predominantly from Europe, which diminished after the early introduction of international travel restrictions. As the pandemic progressed, ongoing transmission in many countries and increasing mobility led to the emergence and spread within the continent of many variants of concern and interest, such as B.1.351, B.1.525, A.23.1, and C.1.1. Although distorted by low sampling numbers and blind spots, the findings highlight that Africa must not be left behind in the global pandemic response, otherwise it could become a source for new variants.
- Published
- 2021
- Full Text
- View/download PDF
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