Geoffrey Kwenda
University of Zambia
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Geoffrey Kwenda.
Journal of Clinical Microbiology | 2015
Rene S. Hendriksen; Pimlapas Leekitcharoenphon; Oksana Lukjancenko; Chileshe Lukwesa-Musyani; Bushimbwa Tambatamba; John Mwaba; Annie Kalonda; Ruth Nakazwe; Geoffrey Kwenda; Jacob Dyring Jensen; Christina Aaby Svendsen; Karen Kiesbye Dittmann; Rolf Sommer Kaas; Lina Cavaco; Frank Møller Aarestrup; Henrik Hasman; James Mwansa
ABSTRACT Retrospectively, we investigated the epidemiology of a massive Salmonella enterica serovar Typhi outbreak in Zambia during 2010 to 2012. Ninety-four isolates were susceptibility tested by MIC determinations. Whole-genome sequence typing (WGST) of 33 isolates and bioinformatic analysis identified the multilocus sequence type (MLST), haplotype, plasmid replicon, antimicrobial resistance genes, and genetic relatedness by single nucleotide polymorphism (SNP) analysis and genomic deletions. The outbreak affected 2,040 patients, with a fatality rate of 0.5%. Most (83.0%) isolates were multidrug resistant (MDR). The isolates belonged to MLST ST1 and a new variant of the haplotype, H58B. Most isolates contained a chromosomally translocated region containing seven antimicrobial resistance genes, catA1, bla TEM-1, dfrA7, sul1, sul2, strA, and strB, and fragments of the incompatibility group Q1 (IncQ1) plasmid replicon, the class 1 integron, and the mer operon. The genomic analysis revealed 415 SNP differences overall and 35 deletions among 33 of the isolates subjected to whole-genome sequencing. In comparison with other genomes of H58, the Zambian isolates separated from genomes from Central Africa and India by 34 and 52 SNPs, respectively. The phylogenetic analysis indicates that 32 of the 33 isolates sequenced belonged to a tight clonal group distinct from other H58 genomes included in the study. The small numbers of SNPs identified within this group are consistent with the short-term transmission that can be expected over a period of 2 years. The phylogenetic analysis and deletions suggest that a single MDR clone was responsible for the outbreak, during which occasional other S. Typhi lineages, including sensitive ones, continued to cocirculate. The common view is that the emerging global S. Typhi haplotype, H58B, containing the MDR IncHI1 plasmid is responsible for the majority of typhoid infections in Asia and sub-Saharan Africa; we found that a new variant of the haplotype harboring a chromosomally translocated region containing the MDR islands of IncHI1 plasmid has emerged in Zambia. This could change the perception of the term “classical MDR typhoid” currently being solely associated with the IncHI1 plasmid. It might be more common than presently thought that S. Typhi haplotype H58B harbors the IncHI1 plasmid or a chromosomally translocated MDR region or both.
Molecular Ecology | 2017
Mathieu Vanhove; Mathew A. Beale; Johanna Rhodes; Duncan Chanda; Shabir Lakhi; Geoffrey Kwenda; Síle F. Molloy; Natasha Karunaharan; Neil R.H. Stone; Thomas S. Harrison; Tihana Bicanic; Matthew C. Fisher
Emerging infections caused by fungi have become a widely recognized global phenomenon and are causing an increasing burden of disease. Genomic techniques are providing new insights into the structure of fungal populations, revealing hitherto undescribed fine‐scale adaptations to environments and hosts that govern their emergence as infections. Cryptococcal meningitis is a neglected tropical disease that is responsible for a large proportion of AIDS‐related deaths across Africa; however, the ecological determinants that underlie a patients risk of infection remain largely unexplored. Here, we use genome sequencing and ecological genomics to decipher the evolutionary ecology of the aetiological agents of cryptococcal meningitis, Cryptococcus neoformans and Cryptococcus gattii, across the central African country of Zambia. We show that the occurrence of these two pathogens is differentially associated with biotic (macroecological) and abiotic (physical) factors across two key African ecoregions, Central Miombo woodlands and Zambezi Mopane woodlands. We show that speciation of Cryptococcus has resulted in adaptation to occupy different ecological niches, with C. neoformans found to occupy Zambezi Mopane woodlands and C. gattii primarily recovered from Central Miombo woodlands. Genome sequencing shows that C. neoformans causes 95% of human infections in this region, of which over three‐quarters belonged to the globalized lineage VNI. We show that VNI infections are largely associated with urbanized populations in Zambia. Conversely, the majority of C. neoformans isolates recovered in the environment belong to the genetically diverse African‐endemic lineage VNB, and we show hitherto unmapped levels of genomic diversity within this lineage. Our results reveal the complex evolutionary ecology that underpins the reservoirs of infection for this, and likely other, deadly pathogenic fungi.
BMC Infectious Diseases | 2015
Paul Simusika; Allen C Bateman; Andros Theo; Geoffrey Kwenda; Christine Mfula; Edward Chentulo; Mwaka Monze
BackgroundMorbidity and mortality from respiratory infections are higher in resource-limited countries than developed countries, but limited studies have been conducted in resource-limited settings to examine pathogens from patients with acute respiratory infections. Influenza surveillance has been conducted in Zambia since 2008; however, only 4.3% of patients enrolled in 2011–2012 were positive for influenza. Therefore, we examined non-influenza respiratory pathogens in children with severe acute respiratory illness (SARI) in Zambia, to estimate the scope of disease burden and determine commonly-identified respiratory pathogens.MethodsTwo reverse transcriptase polymerase chain reaction (rRT-PCR) methods (single and multiplex) were used to analyze nasopharyngeal and throat swabs collected from SARI cases under five years of age from January 2011 through December 2012. All specimens were negative for influenza by rRT-PCR. The panel of singleplex reactions targeted seven viruses, while the multiplex assay targeted thirty-three bacteria, fungi, and viruses.ResultsA set of 297 specimens were tested by singleplex rRT-PCR, and a different set of 199 were tested by multiplex rRT-PCR. Using the singleplex assay, 184/297 (61.9%) specimens were positive for one or more viruses. The most prevalent viruses were human rhinovirus (57/297; 19.2%), human adenovirus (50/297; 16.8%), and respiratory syncytial virus (RSV) (45/297; 15.2%).Using multiplex PCR, at least one virus was detected from 167/199 (83.9%) specimens, and at least one bacteria was detected from 197/199 (99.0%) specimens. Cytomegalovirus (415/199; 208.5%) and RSV (67/199; 33.7%) were the most commonly detected viruses, while Streptococcus pneumonie (109/199; 54.8%) and Moraxella catarrhalis (92/199; 46.2%) were the most commonly detected bacteria.ConclusionsSingle infections and co-infections of many viruses and bacteria were identified in children with SARI. These results provide an estimate of the prevalence of infection and show which respiratory pathogens are commonly identified in patients. Further studies should investigate causal associations between individual pathogens and SARI.
Clinical Infectious Diseases | 2017
Henry C. Baggett; Nora L. Watson; Maria Deloria Knoll; W. Abdullah Brooks; Daniel R. Feikin; Laura L. Hammitt; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; David R. Murdoch; J. Anthony G. Scott; Donald M. Thea; Martin Antonio; Juliet O. Awori; Vicky L. Baillie; Andrea N. DeLuca; Amanda J. Driscoll; Julie Duncan; Bernard E. Ebruke; Doli Goswami; Melissa M. Higdon; Ruth A. Karron; David P. Moore; Susan C. Morpeth; Justin M. Mulindwa; Daniel E. Park; Wantana Paveenkittiporn; Barameht Piralam; Christine Prosperi
Upper airway pneumococcal colonization density among children hospitalized with World Health Organization–defined pneumonia was associated with microbiologically confirmed pneumococcal pneumonia (MCPP). The optimal colonization density threshold for discriminating MCPP from non-MCPP was ≥7 log10 copies/mL (sensitivity, 64.3%, specificity, 92.2%).
Clinical Infectious Diseases | 2017
Jane Crawley; Christine Prosperi; Henry C. Baggett; W. Abdullah Brooks; Maria Deloria Knoll; Laura L. Hammitt; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; David R. Murdoch; Katherine L. O’Brien; Donald M. Thea; Juliet O. Awori; Charatdao Bunthi; Andrea N. DeLuca; Amanda J. Driscoll; Bernard E. Ebruke; Doli Goswami; Melissa M. Hidgon; Ruth A. Karron; Sidi Kazungu; Nana Kourouma; Grant Mackenzie; David P. Moore; Azwifari Mudau; Magdalene Mwale; Kamrun Nahar; Daniel E. Park; Barameht Piralam
Abstract Background. Variable adherence to standardized case definitions, clinical procedures, specimen collection techniques, and laboratory methods has complicated the interpretation of previous multicenter pneumonia etiology studies. To circumvent these problems, a program of clinical standardization was embedded in the Pneumonia Etiology Research for Child Health (PERCH) study. Methods. Between March 2011 and August 2013, standardized training on the PERCH case definition, clinical procedures, and collection of laboratory specimens was delivered to 331 clinical staff at 9 study sites in 7 countries (The Gambia, Kenya, Mali, South Africa, Zambia, Thailand, and Bangladesh), through 32 on-site courses and a training website. Staff competency was assessed throughout 24 months of enrollment with multiple-choice question (MCQ) examinations, a video quiz, and checklist evaluations of practical skills. Results. MCQ evaluation was confined to 158 clinical staff members who enrolled PERCH cases and controls, with scores obtained for >86% of eligible staff at each time-point. Median scores after baseline training were ≥80%, and improved by 10 percentage points with refresher training, with no significant intersite differences. Percentage agreement with the clinical trainer on the presence or absence of clinical signs on video clips was high (≥89%), with interobserver concordance being substantial to high (AC1 statistic, 0.62–0.82) for 5 of 6 signs assessed. Staff attained median scores of >90% in checklist evaluations of practical skills. Conclusions. Satisfactory clinical standardization was achieved within and across all PERCH sites, providing reassurance that any etiological or clinical differences observed across the study sites are true differences, and not attributable to differences in application of the clinical case definition, interpretation of clinical signs, or in techniques used for clinical measurements or specimen collection.
Clinical Infectious Diseases | 2017
Daniel R. Feikin; Wei Fu; Daniel E. Park; Qiyuan Shi; Melissa M. Higdon; Henry C. Baggett; W. Abdullah Brooks; Maria Deloria Knoll; Laura L. Hammitt; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; J. Anthony G. Scott; Donald M. Thea; Peter V. Adrian; Martin Antonio; Juliet O. Awori; Vicky L. Baillie; Andrea N. DeLuca; Amanda J. Driscoll; Bernard E. Ebruke; Doli Goswami; Ruth A. Karron; Mengying Li; Susan C. Morpeth; John Mwaba; James Mwansa; Christine Prosperi; Pongpun Sawatwong
Abstract Background. The etiologic inference of identifying a pathogen in the upper respiratory tract (URT) of children with pneumonia is unclear. To determine if viral load could provide evidence of causality of pneumonia, we compared viral load in the URT of children with World Health Organization–defined severe and very severe pneumonia and age-matched community controls. Methods. In the 9 developing country sites, nasopharyngeal/oropharyngeal swabs from children with and without pneumonia were tested using quantitative real-time polymerase chain reaction for 17 viruses. The association of viral load with case status was evaluated using logistic regression. Receiver operating characteristic (ROC) curves were constructed to determine optimal discriminatory viral load cutoffs. Viral load density distributions were plotted. Results. The mean viral load was higher in cases than controls for 7 viruses. However, there was substantial overlap in viral load distribution of cases and controls for all viruses. ROC curves to determine the optimal viral load cutoff produced an area under the curve of <0.80 for all viruses, suggesting poor to fair discrimination between cases and controls. Fatal and very severe pneumonia cases did not have higher viral load than less severe cases for most viruses. Conclusions. Although we found higher viral loads among pneumonia cases than controls for some viruses, the utility in using viral load of URT specimens to define viral pneumonia was equivocal. Our analysis was limited by lack of a gold standard for viral pneumonia.
Clinical Infectious Diseases | 2017
David R. Murdoch; Susan C. Morpeth; Laura L. Hammitt; Amanda J. Driscoll; Nora L. Watson; Henry C. Baggett; W. Abdullah Brooks; Maria Deloria Knoll; Daniel R. Feikin; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; Katherine L. O’Brien; J. Anthony G. Scott; Donald M. Thea; Dilruba Ahmed; Juliet O. Awori; Andrea N. DeLuca; Bernard E. Ebruke; Melissa M. Higdon; Possawat Jorakate; Ruth A. Karron; Sidi Kazungu; Geoffrey Kwenda; Lokman Hossain; Sirirat Makprasert; David P. Moore; Azwifarwi Mudau; John Mwaba; Sandra Panchalingam
Abstract Background. It is standard practice for laboratories to assess the cellular quality of expectorated sputum specimens to check that they originated from the lower respiratory tract. The presence of low numbers of squamous epithelial cells (SECs) and high numbers of polymorphonuclear (PMN) cells are regarded as indicative of a lower respiratory tract specimen. However, these quality ratings have never been evaluated for induced sputum specimens from children with suspected pneumonia. Methods. We evaluated induced sputum Gram stain smears and cultures from hospitalized children aged 1–59 months enrolled in a large study of community-acquired pneumonia. We hypothesized that a specimen representative of the lower respiratory tract will contain smaller quantities of oropharyngeal flora and be more likely to have a predominance of potential pathogens compared to a specimen containing mainly saliva. The prevalence of potential pathogens cultured from induced sputum specimens and quantity of oropharyngeal flora were compared for different quantities of SECs and PMNs. Results. Of 3772 induced sputum specimens, 2608 (69%) had <10 SECs per low-power field (LPF) and 2350 (62%) had >25 PMNs per LPF, measures traditionally associated with specimens from the lower respiratory tract in adults. Using isolation of low quantities of oropharyngeal flora and higher prevalence of potential pathogens as markers of higher quality, <10 SECs per LPF (but not >25 PMNs per LPF) was the microscopic variable most associated with high quality of induced sputum. Conclusions. Quantity of SECs may be a useful quality measure of induced sputum from young children with pneumonia.
Clinical Infectious Diseases | 2017
Amanda J. Driscoll; Maria Deloria Knoll; Laura L. Hammitt; Henry C. Baggett; W. Abdullah Brooks; Daniel R. Feikin; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; Katherine L. O’Brien; J. Anthony G. Scott; Donald M. Thea; Stephen R. C. Howie; Peter V. Adrian; Dilruba Ahmed; Andrea N. DeLuca; Bernard E. Ebruke; Caroline W. Gitahi; Melissa M. Higdon; Anek Kaewpan; Angela Karani; Ruth A. Karron; Razib Mazumder; Jessica McLellan; David P. Moore; Lawrence Mwananyanda; Daniel E. Park; Christine Prosperi; Julia Rhodes; Saifullah
Abstract Background. Antibiotic exposure and specimen volume are known to affect pathogen detection by culture. Here we assess their effects on bacterial pathogen detection by both culture and polymerase chain reaction (PCR) in children. Methods. PERCH (Pneumonia Etiology Research for Child Health) is a case-control study of pneumonia in children aged 1–59 months investigating pathogens in blood, nasopharyngeal/oropharyngeal (NP/OP) swabs, and induced sputum by culture and PCR. Antibiotic exposure was ascertained by serum bioassay, and for cases, by a record of antibiotic treatment prior to specimen collection. Inoculated blood culture bottles were weighed to estimate volume. Results. Antibiotic exposure ranged by specimen type from 43.5% to 81.7% in 4223 cases and was detected in 2.3% of 4863 controls. Antibiotics were associated with a 45% reduction in blood culture yield and approximately 20% reduction in yield from induced sputum culture. Reduction in yield of Streptococcus pneumoniae from NP culture was approximately 30% in cases and approximately 32% in controls. Several bacteria had significant but marginal reductions (by 5%–7%) in detection by PCR in NP/OP swabs from both cases and controls, with the exception of S. pneumoniae in exposed controls, which was detected 25% less frequently compared to nonexposed controls. Bacterial detection in induced sputum by PCR decreased 7% for exposed compared to nonexposed cases. For every additional 1 mL of blood culture specimen collected, microbial yield increased 0.51% (95% confidence interval, 0.47%–0.54%), from 2% when volume was ≤1 mL to approximately 6% for ≥3 mL. Conclusions. Antibiotic exposure and blood culture volume affect detection of bacterial pathogens in children with pneumonia and should be accounted for in studies of etiology and in clinical management.
Clinical Infectious Diseases | 2017
Amanda J. Driscoll; Ruth A. Karron; Susan C. Morpeth; Niranjan Bhat; Orin S. Levine; Henry C. Baggett; W. Abdullah Brooks; Daniel R. Feikin; Laura L. Hammitt; Stephen R. C. Howie; Maria Deloria Knoll; Karen L. Kotloff; Shabir A. Madhi; J. Anthony G. Scott; Donald M. Thea; Peter V. Adrian; Dilruba Ahmed; Muntasir Alam; Trevor P. Anderson; Martin Antonio; Vicky L. Baillie; Michel M. Dione; Hubert P. Endtz; Caroline W. Gitahi; Angela Karani; Geoffrey Kwenda; Abdoul Aziz Maiga; Jessica McClellan; Joanne Mitchell; Palesa Morailane
Abstract The Pneumonia Etiology Research for Child Health study was conducted across 7 diverse research sites and relied on standardized clinical and laboratory methods for the accurate and meaningful interpretation of pneumonia etiology data. Blood, respiratory specimens, and urine were collected from children aged 1–59 months hospitalized with severe or very severe pneumonia and community controls of the same age without severe pneumonia and were tested with an extensive array of laboratory diagnostic tests. A standardized testing algorithm and standard operating procedures were applied across all study sites. Site laboratories received uniform training, equipment, and reagents for core testing methods. Standardization was further assured by routine teleconferences, in-person meetings, site monitoring visits, and internal and external quality assurance testing. Targeted confirmatory testing and testing by specialized assays were done at a central reference laboratory.
Clinical Infectious Diseases | 2017
Susan C. Morpeth; Maria Deloria Knoll; J. Anthony G. Scott; Daniel E. Park; Nora L. Watson; Henry C. Baggett; W. Abdullah Brooks; Daniel R. Feikin; Laura L. Hammitt; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; Katherine L. O’Brien; Donald M. Thea; Peter V. Adrian; Dilruba Ahmed; Martin Antonio; Charatdao Bunthi; Andrea N. DeLuca; Amanda J. Driscoll; Louis Peter Githua; Melissa M. Higdon; Geoff Kahn; Angela Karani; Ruth A. Karron; Geoffrey Kwenda; Sirirat Makprasert; Razib Mazumder; David P. Moore
Abstract Background. We investigated the performance of polymerase chain reaction (PCR) on blood in the diagnosis of pneumococcal pneumonia among children from 7 low- and middle-income countries. Methods. We tested blood by PCR for the pneumococcal autolysin gene in children aged 1–59 months in the Pneumonia Etiology Research for Child Health (PERCH) study. Children had World Health Organization–defined severe or very severe pneumonia or were age-frequency–matched community controls. Additionally, we tested blood from general pediatric admissions in Kilifi, Kenya, a PERCH site. The proportion PCR-positive was compared among cases with microbiologically confirmed pneumococcal pneumonia (MCPP), cases without a confirmed bacterial infection (nonconfirmed), cases confirmed for nonpneumococcal bacteria, and controls. Results. In PERCH, 7.3% (n = 291/3995) of cases and 5.5% (n = 273/4987) of controls were blood pneumococcal PCR-positive (P < .001), compared with 64.3% (n = 36/56) of MCPP cases and 6.3% (n = 243/3832) of nonconfirmed cases (P < .001). Blood pneumococcal PCR positivity was higher in children from the 5 African countries (5.5%–11.5% among cases and 5.3%–10.2% among controls) than from the 2 Asian countries (1.3% and 1.0% among cases and 0.8% and 0.8% among controls). Among Kilifi general pediatric admissions, 3.9% (n = 274/6968) were PCR-positive, including 61.7% (n = 37/60) of those with positive blood cultures for pneumococcus. Discussion. The utility of pneumococcal PCR on blood for diagnosing childhood pneumococcal pneumonia in the 7 low- and middle-income countries studied is limited by poor specificity and by poor sensitivity among MCPP cases.