Author
Angel Balmaseda
Bio: Angel Balmaseda is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Dengue virus & Dengue fever. The author has an hindex of 54, co-authored 162 publications receiving 11087 citations.
Topics: Dengue virus, Dengue fever, Zika virus, Medicine, Flavivirus
Papers published on a yearly basis
Papers
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University of Edinburgh1, University of Glasgow2, Johns Hopkins University3, University of Colorado Boulder4, University of the Witwatersrand5, International Military Sports Council6, Aga Khan University7, Medical Research Council8, King George's Medical University9, Kenya Medical Research Institute10, International Centre for Diarrhoeal Disease Research, Bangladesh11, Centers for Disease Control and Prevention12, University of Bergen13, Tribhuvan University14, University of Barcelona15, Utrecht University16, Emory University17, All India Institute of Medical Sciences18, University of Liverpool19, Boston Children's Hospital20, National Institute of Virology21, University of Zambia22, University of Health Sciences Antigua23, National Health Laboratory Service24, Chinese Center for Disease Control and Prevention25, Austral University26, University of Michigan27, Vanderbilt University28, University of New South Wales29, University of Otago30, University of Auckland31, Universidad del Valle de Guatemala32, University of Jordan33, University of Maryland, Baltimore34, National Scientific and Technical Research Council35, Research Institute for Tropical Medicine36, Pwani University College37, University of Cape Town38, University of Warwick39, Academy of Medical Sciences, United Kingdom40, Tohoku University41, École normale supérieure de Lyon42, John E. Fogarty International Center43, Charité44, Universidad Nacional de Asunción45, Tehran University of Medical Sciences46, Robert Koch Institute47, University of London48, University of New Mexico49, Capital Medical University50, Alaska Native Tribal Health Consortium51, Innlandet Hospital Trust52, Columbia University53, Mahidol University54, University of Pretoria55, Thailand Ministry of Public Health56, Peking Union Medical College57, Nagasaki University58, Public Health Foundation of India59
TL;DR: In this paper, the authors estimated the incidence and hospital admission rate of RSV-associated acute lower respiratory infection (RSV-ALRI) in children younger than 5 years stratified by age and World Bank income regions.
1,470 citations
University of Edinburgh1, Public Health Foundation of India2, International Centre for Diarrhoeal Disease Research, Bangladesh3, Centers for Disease Control and Prevention4, University of Barcelona5, University of Oxford6, University of the Witwatersrand7, National Institutes of Health8, University of California, Berkeley9, Fukushima Medical University10, Medical Research Council11, All India Institute of Medical Sciences12, University of Colorado Denver13, Research Institute for Tropical Medicine14, Kenya Medical Research Institute15, Johns Hopkins University16, Pasteur Institute17, Delta State University18, University of Pretoria19, Columbia University20, World Health Organization21, Emory University22, Dartmouth College23, University of Split24
TL;DR: The role of influenza in childhood mortality from ALRI is estimated by combining incidence estimates with case fatality ratios from hospital-based reports and identifying studies with population-based data for influenza seasonality and monthly ALRI mortality.
804 citations
TL;DR: Using multiple statistical approaches to study a long-term pediatric cohort in Nicaragua, it is shown that risk of severe dengue disease is highest within a narrow range of preexisting anti-DENV antibody titers, which has major implications for vaccines against flaviviruses.
Abstract: For dengue viruses 1 to 4 (DENV1-4), a specific range of antibody titer has been shown to enhance viral replication in vitro and severe disease in animal models. Although suspected, such antibody-dependent enhancement of severe disease has not been shown to occur in humans. Using multiple statistical approaches to study a long-term pediatric cohort in Nicaragua, we show that risk of severe dengue disease is highest within a narrow range of preexisting anti-DENV antibody titers. By contrast, we observe protection from all symptomatic dengue disease at high antibody titers. Thus, immune correlates of severe dengue must be evaluated separately from correlates of protection against symptomatic disease. These results have implications for studies of dengue pathogenesis and for vaccine development, because enhancement, not just lack of protection, is of concern.
721 citations
TL;DR: As dengue disease spreads to different parts of the globe several investigators have reported difficulties in using the system and some have had to create new categories or new case definitions to represent the observed patterns of disease more accurately.
387 citations
TL;DR: Age-related differences were identified in the prevalence of specific clinical manifestations as well as in their association with a confirmed DEN diagnosis of dengue virus infections in Nicaragua.
Abstract: To investigate age-related differences in dengue severity, 114 infants, 1,211 children, and 346 adults with laboratory-confirmed dengue virus (DEN) infections presenting to three hospitals in major urban centers in Nicaragua were recruited from 1999 to 2001. The age distribution of dengue cases and the circulating serotype (predominantly DEN2) were representative of national data. Similar results were obtained when either dengue hemorrhagic fever/dengue shock syndrome or its principal manifestations (vascular permeability, internal hemorrhage, marked thrombocytopenia, and/or shock) were analyzed in relation to age and immune status. The burden of disease and of severe dengue was found predominantly in infants 4–9 months of age and in children 5–9 years old, and secondary DEN infection was a risk factor for severity in children. Age-related differences were identified in the prevalence of specific clinical manifestations as well as in their association with a confirmed DEN diagnosis. This represents one of the few comprehensive studies to analyze characteristics of dengue in infants, children, and adults in the same population and highlights age-related differences in dengue severity.
333 citations
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TL;DR: These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue and will help to guide improvements in disease control strategies using vaccine, drug and vector control methods, and in their economic evaluation.
Abstract: Dengue is a systemic viral infection transmitted between humans by Aedes mosquitoes. For some patients, dengue is a life-threatening illness. There are currently no licensed vaccines or specific therapeutics, and substantial vector control efforts have not stopped its rapid emergence and global spread. The contemporary worldwide distribution of the risk of dengue virus infection and its public health burden are poorly known. Here we undertake an exhaustive assembly of known records of dengue occurrence worldwide, and use a formal modelling framework to map the global distribution of dengue risk. We then pair the resulting risk map with detailed longitudinal information from dengue cohort studies and population surfaces to infer the public health burden of dengue in 2010. We predict dengue to be ubiquitous throughout the tropics, with local spatial variations in risk influenced strongly by rainfall, temperature and the degree of urbanization. Using cartographic approaches, we estimate there to be 390 million (95% credible interval 284-528) dengue infections per year, of which 96 million (67-136) manifest apparently (any level of disease severity). This infection total is more than three times the dengue burden estimate of the World Health Organization. Stratification of our estimates by country allows comparison with national dengue reporting, after taking into account the probability of an apparent infection being formally reported. The most notable differences are discussed. These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue. We anticipate that they will provide a starting point for a wider discussion about the global impact of this disease and will help to guide improvements in disease control strategies using vaccine, drug and vector control methods, and in their economic evaluation.
7,238 citations
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as discussed by the authors, the authors used the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data.
5,792 citations
TL;DR: Using HLA class I and II predicted peptide ‘megapools’, circulating SARS-CoV-2−specific CD8+ and CD4+ T cells were identified in ∼70% and 100% of COVID-19 convalescent patients, respectively, suggesting cross-reactive T cell recognition between circulating ‘common cold’ coronaviruses and SARS.
3,043 citations
TL;DR: The epidemiology of childhood diarrhoea and that of pneumonia overlap, which might be partly because of shared risk factors, such as undernutrition, suboptimum breastfeeding, and zinc deficiency, and action is needed globally and at country level to accelerate the reduction.
1,842 citations
01 Mar 2001
TL;DR: Using singular value decomposition in transforming genome-wide expression data from genes x arrays space to reduced diagonalized "eigengenes" x "eigenarrays" space gives a global picture of the dynamics of gene expression, in which individual genes and arrays appear to be classified into groups of similar regulation and function, or similar cellular state and biological phenotype.
Abstract: ‡We describe the use of singular value decomposition in transforming genome-wide expression data from genes 3 arrays space to reduced diagonalized ‘‘eigengenes’’ 3 ‘‘eigenarrays’’ space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). Normalizing the data by filtering out the eigengenes (and eigenarrays) that are inferred to represent noise or experimental artifacts enables meaningful comparison of the expression of different genes across different arrays in different experiments. Sorting the data according to the eigengenes and eigenarrays gives a global picture of the dynamics of gene expression, in which individual genes and arrays appear to be classified into groups of similar regulation and function, or similar cellular state and biological phenotype, respectively. After normalization and sorting, the significant eigengenes and eigenarrays can be associated with observed genome-wide effects of regulators, or with measured samples, in which these regulators are overactive or underactive, respectively.
1,815 citations