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Featured researches published by Alice Kamau.


International Journal for Parasitology-Drugs and Drug Resistance | 2014

Temporal trends in prevalence of Plasmodium falciparum drug resistance alleles over two decades of changing antimalarial policy in coastal Kenya

John Okombo; Alice Kamau; Kevin Marsh; Colin J. Sutherland; Lynette Isabella Ochola-Oyier

Graphical abstract


Clinical Infectious Diseases | 2017

Density of Upper Respiratory Colonization With Streptococcus pneumoniae and Its Role in the Diagnosis of Pneumococcal Pneumonia Among Children Aged <5 Years in the PERCH Study

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

Standardization of Clinical Assessment and Sample Collection Across All PERCH Study Sites

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

Is Higher Viral Load in the Upper Respiratory Tract Associated With Severe Pneumonia? Findings From the PERCH Study

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

Microscopic Analysis and Quality Assessment of Induced Sputum From Children With Pneumonia in the PERCH Study

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

The Effect of Antibiotic Exposure and Specimen Volume on the Detection of Bacterial Pathogens in Children With Pneumonia

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.


BMC Medicine | 2017

Effect of transmission intensity on hotspots and micro-epidemiology of malaria in sub-Saharan Africa

Polycarp Mogeni; Irene Omedo; Christopher Nyundo; Alice Kamau; Abdisalan M. Noor; Philip Bejon

BackgroundMalaria transmission intensity is heterogeneous, complicating the implementation of malaria control interventions. We provide a description of the spatial micro-epidemiology of symptomatic malaria and asymptomatic parasitaemia in multiple sites.MethodsWe assembled data from 19 studies conducted between 1996 and 2015 in seven countries of sub-Saharan Africa with homestead-level geospatial data. Data from each site were used to quantify spatial autocorrelation and examine the temporal stability of hotspots. Parameters from these analyses were examined to identify trends over varying transmission intensity.ResultsSignificant hotspots of malaria transmission were observed in most years and sites. The risk ratios of malaria within hotspots were highest at low malaria positive fractions (MPFs) and decreased with increasing MPF (pu2009<u20090.001). However, statistical significance of hotspots was lowest at extremely low and extremely high MPFs, with a peak in statistical significance at an MPF of ~0.3. In four sites with longitudinal data we noted temporal instability and variable negative correlations between MPF and average age of symptomatic malaria across all sites, suggesting varying degrees of temporal stability.ConclusionsWe observed geographical micro-variation in malaria transmission at sites with a variety of transmission intensities across sub-Saharan Africa. Hotspots are marked at lower transmission intensity, but it becomes difficult to show statistical significance when cases are sparse at very low transmission intensity. Given the predictability with which hotspots occur as transmission intensity falls, malaria control programmes should have a low threshold for responding to apparent clustering of cases.


Clinical Infectious Diseases | 2017

Should Controls With Respiratory Symptoms Be Excluded From Case-Control Studies of Pneumonia Etiology? Reflections From the PERCH Study

Melissa M. Higdon; Laura L. Hammitt; Maria Deloria Knoll; Henry C. Baggett; W. Abdullah Brooks; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Shabir A. Madhi; David R. Murdoch; J. Anthony G. Scott; Donald M. Thea; Amanda J. Driscoll; Ruth A. Karron; Daniel E. Park; Christine Prosperi; Scott L. Zeger; Katherine L. O’Brien; Daniel R. Feikin; Andrea N. DeLuca; Wei Fu; E. Wangeci Kagucia; Mengying Li; Zhenke Wu; Nora L. Watson; Jane Crawley; Hubert P. Endtz; Khalequ Zaman; Doli Goswami; Lokman Hossain

Abstract Many pneumonia etiology case-control studies exclude controls with respiratory illness from enrollment or analyses. Herein we argue that selecting controls regardless of respiratory symptoms provides the least biased estimates of pneumonia etiology. We review 3 reasons investigators may choose to exclude controls with respiratory symptoms in light of epidemiologic principles of control selection and present data from the Pneumonia Etiology Research for Child Health (PERCH) study where relevant to assess their validity. We conclude that exclusion of controls with respiratory symptoms will result in biased estimates of etiology. Randomly selected community controls, with or without respiratory symptoms, as long as they do not meet the criteria for case-defining pneumonia, are most representative of the general population from which cases arose and the least subject to selection bias.


Clinical Infectious Diseases | 2017

Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia

Nora L. Watson; Christine Prosperi; Amanda J. Driscoll; Melissa M. Higdon; Daniel E. Park; Megan Sanza; Andrea N. DeLuca; Juliet O. Awori; Doli Goswami; Emily Hammond; Lokman Hossain; Catherine Johnson; Alice Kamau; Locadiah Kuwanda; David P. Moore; Omid Neyzari; Uma Onwuchekwa; David Parker; Patranuch Sapchookul; Phil Seidenberg; Arifin Shamsul; Kazungu Siazeele; Prasong Srisaengchai; Mamadou Sylla; Orin S. Levine; David R. Murdoch; Katherine L. O'Brien; Mark Wolff; Maria Deloria Knoll

Abstract The Pneumonia Etiology Research for Child Health (PERCH) study is the largest multicountry etiology study of pediatric pneumonia undertaken in the past 3 decades. The study enrolled 4232 hospitalized cases and 5325 controls over 2 years across 9 research sites in 7 countries in Africa and Asia. The volume and complexity of data collection in PERCH presented considerable logistical and technical challenges. The project chose an internet-based data entry system to allow real-time access to the data, enabling the project to monitor and clean incoming data and perform preliminary analyses throughout the study. To ensure high-quality data, the project developed comprehensive quality indicator, data query, and monitoring reports. Among the approximately 9000 cases and controls, analyzable laboratory results were available for ≥96% of core specimens collected. Selected approaches to data management in PERCH may be extended to the planning and organization of international studies of similar scope and complexity.


Clinical Infectious Diseases | 2017

Evaluation of Pneumococcal Load in Blood by Polymerase Chain Reaction for the Diagnosis of Pneumococcal Pneumonia in Young Children in the PERCH Study.

Maria Deloria Knoll; Susan C. Morpeth; J. Anthony G. Scott; Nora L. Watson; Daniel E. Park; Henry C. Baggett; W. Abdullah Brooks; Daniel R. Feikin; Laura L. Hammitt; Stephen R. C. Howie; Karen L. Kotloff; Orin S. Levine; Katherine L. O’Brien; Donald M. Thea; Dilruba Ahmed; Martin Antonio; Juliet O. Awori; Vicky L. Baillie; James Chipeta; Andrea N. DeLuca; Michel M. Dione; Amanda J. Driscoll; Melissa M. Higdon; Anchalee Jatapai; Ruth A. Karron; Razib Mazumder; David P. Moore; James Mwansa; Sammy Nyongesa; Christine Prosperi

Abstract Background. Detection of pneumococcus by lytA polymerase chain reaction (PCR) in blood had poor diagnostic accuracy for diagnosing pneumococcal pneumonia in children in 9 African and Asian sites. We assessed the value of blood lytA quantification in diagnosing pneumococcal pneumonia. Methods. The Pneumonia Etiology Research for Child Health (PERCH) case-control study tested whole blood by PCR for pneumococcus in children aged 1–59 months hospitalized with signs of pneumonia and in age–frequency matched community controls. The distribution of load among PCR-positive participants was compared between microbiologically confirmed pneumococcal pneumonia (MCPP) cases, cases confirmed for nonpneumococcal pathogens, nonconfirmed cases, and controls. Receiver operating characteristic analyses determined the “optimal threshold” that distinguished MCPP cases from controls. Results. Load was available for 290 of 291 cases with pneumococcal PCR detected in blood and 273 of 273 controls. Load was higher in MCPP cases than controls (median, 4.0 × 103 vs 0.19 × 103 copies/mL), but overlapped substantially (range, 0.16–989.9 × 103 copies/mL and 0.01–551.9 × 103 copies/mL, respectively). The proportion with high load (≥2.2 log10 copies/mL) was 62.5% among MCPP cases, 4.3% among nonconfirmed cases, 9.3% among cases confirmed for a nonpneumococcal pathogen, and 3.1% among controls. Pneumococcal load in blood was not associated with respiratory tract illness in controls (P = .32). High blood pneumococcal load was associated with alveolar consolidation on chest radiograph in nonconfirmed cases, and with high (>6.9 log10 copies/mL) nasopharyngeal/oropharyngeal load and C-reactive protein ≥40 mg/L (both P < .01) in nonconfirmed cases but not controls. Conclusions. Quantitative pneumococcal PCR in blood has limited diagnostic utility for identifying pneumococcal pneumonia in individual children, but may be informative in epidemiological studies.

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Ruth A. Karron

Johns Hopkins University

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