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Dive into the research topics where Lawrence C. Madoff is active.

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Featured researches published by Lawrence C. Madoff.


Nature | 2012

Emerging fungal threats to animal, plant and ecosystem health

Matthew C. Fisher; Daniel A. Henk; Cheryl J. Briggs; John S. Brownstein; Lawrence C. Madoff; Sarah L. McCraw; Sarah J. Gurr

The past two decades have seen an increasing number of virulent infectious diseases in natural populations and managed landscapes. In both animals and plants, an unprecedented number of fungal and fungal-like diseases have recently caused some of the most severe die-offs and extinctions ever witnessed in wild species, and are jeopardizing food security. Human activity is intensifying fungal disease dispersal by modifying natural environments and thus creating new opportunities for evolution. We argue that nascent fungal infections will cause increasing attrition of biodiversity, with wider implications for human and ecosystem health, unless steps are taken to tighten biosecurity worldwide.


Proceedings of the National Academy of Sciences of the United States of America | 2002

Complete genome sequence and comparative genomic analysis of an emerging human pathogen, serotype V Streptococcus agalactiae

Hervé Tettelin; Vega Masignani; Michael J. Cieslewicz; Jonathan A. Eisen; Scott N. Peterson; Michael R. Wessels; Ian T. Paulsen; Karen E. Nelson; Immaculada Margarit; Timothy D. Read; Lawrence C. Madoff; Alex M. Wolf; Maureen J. Beanan; Lauren M. Brinkac; Sean C. Daugherty; Robert T. DeBoy; A. Scott Durkin; James F. Kolonay; Ramana Madupu; Matthew Lewis; Diana Radune; Nadezhda B. Fedorova; David Scanlan; Hoda Khouri; Stephanie Mulligan; Heather A. Carty; Robin T. Cline; Susan Van Aken; John Gill; Maria Scarselli

The 2,160,267 bp genome sequence of Streptococcus agalactiae, the leading cause of bacterial sepsis, pneumonia, and meningitis in neonates in the U.S. and Europe, is predicted to encode 2,175 genes. Genome comparisons among S. agalactiae, Streptococcus pneumoniae, Streptococcus pyogenes, and the other completely sequenced genomes identified genes specific to the streptococci and to S. agalactiae. These in silico analyses, combined with comparative genome hybridization experiments between the sequenced serotype V strain 2603 V/R and 19 S. agalactiae strains from several serotypes using whole-genome microarrays, revealed the genetic heterogeneity among S. agalactiae strains, even of the same serotype, and provided insights into the evolution of virulence mechanisms.


The New England Journal of Medicine | 2009

Digital Disease Detection — Harnessing the Web for Public Health Surveillance

John S. Brownstein; Clark C. Freifeld; Lawrence C. Madoff

John Brownstein, Clark Freifeld, and Lawrence Madoff write that a new generation of disease-surveillance “mashups” can mine, categorize, filter, and visualize online intelligence about epidemics in real time.


The Journal of Infectious Diseases | 1999

Serotypes VI and VIII Predominate among Group B Streptococci Isolated from Pregnant Japanese Women

Catherine S. Lachenauer; Dennis L. Kasper; J. Shimada; Y. Ichiman; H. Ohtsuka; M. Kaku; Lawrence C. Paoletti; Patricia Ferrieri; Lawrence C. Madoff

Infection by group B streptococcus (GBS) is an important cause of bacterial disease in neonates, pregnant women, and nonpregnant adults. Whereas serotypes Ia, Ib, II, III, and V are most commonly associated with colonization and disease in the United States, strains of other serotypes have been isolated from patients in Japan. By use of an inhibition ELISA, the serotypes of 73 vaginal colonizing GBS strains isolated from healthy pregnant Japanese women were investigated. Twenty-six (35.6%) were type VIII, 18 (24.7%) were type VI, and the remaining 29 were distributed among more traditional serotypes. Strains were also tested by immunoblot for the presence of GBS surface proteins. Fifty-three (72.6%) of the 73 strains expressed one or more laddering GBS proteins. These data show that type VI and VIII GBS strains are common vaginal isolates in pregnant Japanese women and that one or more laddering proteins are present in most GBS strains.


Clinical Infectious Diseases | 2004

ProMED-mail: An Early Warning System for Emerging Diseases

Victor L. Yu; Lawrence C. Madoff

The Program for Monitoring Emerging Diseases (ProMED-mail) reports on outbreaks of diseases of infectious or toxic etiology, whether natural or intentionally released, that affect humans. Open to all sources, free of political constraints, and available to users free of charge, ProMED-mail exploits the speed and ubiquity of the Internet to serve as an early warning system for the detection of emerging disease outbreaks. ProMED-mail monitors diseases of plants and animals of agricultural importance in addition to zoonoses because of their key role in disease emergence. Reports are carefully screened for validity and are placed in an appropriate context by commentary and references from a panel of expert moderators. Reports are then posted to the Web and sent by e-mail to >32,000 subscribers in >150 countries.


Infectious Disease Clinics of North America | 2000

PYOGENIC LIVER ABSCESSES

Eric Johannsen; Costi D. Sifri; Lawrence C. Madoff

Pyogenic liver abscess is a classic clinical entity whose presentation and management have evolved significantly with the advent of potent antimicrobials and the availability of improved diagnostic imaging. The classic triad of fever, upper right quadrant pain or fullness, and jaundice resulting from advanced pylephlebitis is now seldom seen. Despite these changes, pyogenic liver abscess remains an important clinical entity for which prompt recognition and treatment are essential to achieve a favorable outcome. This article discusses the presentation and diagnosis of and current therapy for liver abscesses.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Global capacity for emerging infectious disease detection

Emily H. Chan; Timothy F. Brewer; Lawrence C. Madoff; Marjorie P. Pollack; Amy L. Sonricker; Mikaela Keller; Clark C. Freifeld; Michael Blench; Abla Mawudeku; John S. Brownstein

The increasing number of emerging infectious disease events that have spread internationally, such as severe acute respiratory syndrome (SARS) and the 2009 pandemic A/H1N1, highlight the need for improvements in global outbreak surveillance. It is expected that the proliferation of Internet-based reports has resulted in greater communication and improved surveillance and reporting frameworks, especially with the revision of the World Health Organizations (WHO) International Health Regulations (IHR 2005), which went into force in 2007. However, there has been no global quantitative assessment of whether and how outbreak detection and communication processes have actually changed over time. In this study, we analyzed the entire WHO public record of Disease Outbreak News reports from 1996 to 2009 to characterize spatial-temporal trends in the timeliness of outbreak discovery and public communication about the outbreak relative to the estimated outbreak start date. Cox proportional hazards regression analyses show that overall, the timeliness of outbreak discovery improved by 7.3% [hazard ratio (HR) = 1.073, 95% CI (1.038; 1.110)] per year, and public communication improved by 6.2% [HR = 1.062, 95% CI (1.028; 1.096)] per year. However, the degree of improvement varied by geographic region; the only WHO region with statistically significant (α = 0.05) improvement in outbreak discovery was the Western Pacific region [HR = 1.102 per year, 95% CI (1.008; 1.205)], whereas the Eastern Mediterranean [HR = 1.201 per year, 95% CI (1.066; 1.353)] and Western Pacific regions [HR = 1.119 per year, 95% CI (1.025; 1.221)] showed improvement in public communication. These findings provide quantitative historical assessment of timeliness in infectious disease detection and public reporting of outbreaks.


Lancet Infectious Diseases | 2013

Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines

Heidi J. Larson; David Smith; Pauline Paterson; Melissa Cumming; Elisabeth Eckersberger; Clark C. Freifeld; Isaac Ghinai; Caitlin Jarrett; Louisa Paushter; John S. Brownstein; Lawrence C. Madoff

BACKGROUND The intensity, spread, and effects of public opinion about vaccines are growing as new modes of communication speed up information sharing, contributing to vaccine hesitancy, refusals, and disease outbreaks. We aimed to develop a new application of existing surveillance systems to detect and characterise early signs of vaccine issues. We also aimed to develop a typology of concerns and a way to assess the priority of each concern. METHODS Following preliminary research by The Vaccine Confidence Project, media reports (eg, online articles, blogs, government reports) were obtained using the HealthMap automated data collection system, adapted to monitor online reports about vaccines, vaccination programmes, and vaccine-preventable diseases. Any reports that did not meet the inclusion criteria--any reference to a human vaccine or vaccination campaign or programme that was accessible online--were removed from analysis. Reports were manually analysed for content and categorised by concerns, vaccine, disease, location, and source of report, and overall positive or negative sentiment towards vaccines. They were then given a priority level depending on the seriousness of the reported event and time of event occurrence. We used descriptive statistics to analyse the data collected during a period of 1 year, after refinements to the search terms and processes had been made. FINDINGS We analysed data from 10,380 reports (from 144 countries) obtained between May 1, 2011, and April 30, 2012. 7171 (69%) contained positive or neutral content and 3209 (31%) contained negative content. Of the negative reports, 1977 (24%) were associated with impacts on vaccine programmes and disease outbreaks; 1726 (21%) with beliefs, awareness, and perceptions; 1371 (16%) with vaccine safety; and 1336 (16%) with vaccine delivery programmes. We were able to disaggregate the data by country and vaccine type, and monitor evolution of events over time and location in specific regions where vaccine concerns were high. INTERPRETATION Real-time monitoring and analysis of vaccine concerns over time and location could help immunisation programmes to tailor more effective and timely strategies to address specific public concerns. FUNDING Bill & Melinda Gates Foundation.


Journal of Clinical Investigation | 1994

Maternal immunization of mice with group B streptococcal type III polysaccharide-beta C protein conjugate elicits protective antibody to multiple serotypes.

Lawrence C. Madoff; Lawrence C. Paoletti; J Y Tai; Dennis L. Kasper

Group B streptococcal infection is a major cause of neonatal mortality. Antibody to the capsular polysaccharide protects against invasive neonatal disease, but immunization with capsular polysaccharides fails to elicit protective antibody in many recipients. Conjugation of the polysaccharide to tetanus toxoid has been shown to increase immune response to the polysaccharide. In animal models, C proteins of group B streptococci are also protective determinants. We examined the ability of the beta C protein to serve in the dual role of carrier for the polysaccharide and protective immunogen. Type III polysaccharide was covalently coupled to beta C protein by reductive amination. Immunization of rabbits with the polysaccharide-protein conjugate elicited high titers of antibody to both components, and the serum induced opsonophagocytic killing of type III, Ia/C, and Ib/C strains of group B streptococci. Female mice were immunized with the conjugate vaccine and then bred; 93% of neonatal pups born to these dams vaccinated with conjugate survived type III group B streptococcal challenge and 76% survived type Ia/C challenge, compared with 3% and 8% survival, respectively, in controls (P < 0.001). The beta C protein acted as an effective carrier for the type III polysaccharide while simultaneously induced protective immunity against beta C protein--containing strains of group B streptococci.


PLOS Computational Biology | 2015

Ethical Challenges of Big Data in Public Health

Effy Vayena; Marcel Salathé; Lawrence C. Madoff; John S. Brownstein

Note: Editorial Reference EPFL-ARTICLE-214482doi:10.1371/journal.pcbi.1003904 Record created on 2015-12-10, modified on 2017-05-12

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James L. Michel

Brigham and Women's Hospital

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Lawrence C. Paoletti

Brigham and Women's Hospital

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Karen M. Puopolo

Children's Hospital of Philadelphia

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Frederick M. Ausubel

Brigham and Women's Hospital

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