Author
Baltazar Nunes
Other affiliations: Shanghai Jiao Tong University, Intelligence and National Security Alliance, National Institutes of Health ...read more
Bio: Baltazar Nunes is an academic researcher from Instituto Nacional de Saúde Dr. Ricardo Jorge. The author has contributed to research in topics: Population & Influenza vaccine. The author has an hindex of 30, co-authored 246 publications receiving 4705 citations. Previous affiliations of Baltazar Nunes include Shanghai Jiao Tong University & Intelligence and National Security Alliance.
Topics: Population, Influenza vaccine, Medicine, Vaccination, Public health
Papers published on a yearly basis
Papers
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Centers for Disease Control and Prevention1, Emory University2, University of New South Wales3, Pan American Health Organization4, National Health Laboratory Service5, University of Oslo6, Norwegian Institute of Public Health7, Li Ka Shing Faculty of Medicine, University of Hong Kong8, Singapore Ministry of Health9, Medical University of Vienna10, Chinese Center for Disease Control and Prevention11, Statens Serum Institut12, All India Institute of Medical Sciences13, Thailand Ministry of Public Health14, Robert Koch Institute15
TL;DR: These global influenza-associated respiratory mortality estimates are higher than previously reported, suggesting that previous estimates might have underestimated disease burden.
1,658 citations
Bin Zhou1, Rodrigo M. Carrillo-Larco1, Goodarz Danaei2, Leanne M. Riley2 +1141 more•Institutions (5)
TL;DR: In this article, a Bayesian hierarchical model was used to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control).
918 citations
Shanghai Jiao Tong University1, University of Ottawa2, AmeriCorps VISTA3, Nagasaki University4, Seoul National University5, National Taiwan University6, Yale University7, Czech University of Life Sciences Prague8, University of Tartu9, Huazhong University of Science and Technology10, Health Effects Institute11, University of Washington12
TL;DR: The data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe, and reinforce the evidence of a link between mortality and PM concentration established in regional and local studies.
Abstract: BACKGROUND: The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias.METHODS: We evaluated the assoc ...
896 citations
Monash University1, Shandong University2, University of London3, Czech University of Life Sciences Prague4, Academy of Sciences of the Czech Republic5, Hakim Sabzevari University6, University of Bern7, Harvard University8, National and Kapodistrian University of Athens9, Brunel University London10, Nagasaki University11, Instituto Nacional de Saúde Dr. Ricardo Jorge12, Universidade Nova de Lisboa13, Umeå University14, National Institutes of Health15, University of Valencia16, Ho Chi Minh City Medicine and Pharmacy University17, University of Santiago de Compostela18, University of Tartu19, University of Ottawa20, Health Canada21, University of Turin22, Norwegian Institute of Public Health23, University of Florence24, Cayetano Heredia University25, University of California, San Diego26, Fudan University27, Seoul National University28, Babeș-Bolyai University29, University of Porto30, Finnish Meteorological Institute31, University of Oulu32, King's College London33, University of Basel34, Swiss Tropical and Public Health Institute35, University of Tokyo36, University of São Paulo37, University of Los Andes38, Emory University39, University of Buenos Aires40, University of the Republic41, Pablo de Olavide University42, Potsdam Institute for Climate Impact Research43, Yale University44, University of Tsukuba45, National Taiwan University46
TL;DR: In this paper, the global, regional, and national mortality burden associated with non-optimal ambient temperatures was evaluated using time-series data collected from 750 locations in 43 countries and five meta-predictors.
189 citations
TL;DR: The results suggested a low adjusted IVE in 2011/12, which could be due to virus changes through the season or waning immunity, and seasonal influenza vaccines should be improved to achieve acceptable levels of protection.
Abstract: Within the Influenza Monitoring Vaccine Effectiveness in Europe (I-MOVE) project we conducted a multicentre case-control study in eight European Union (EU) Member States to estimate the 2011/12 influenza vaccine effectiveness against medically attended influenza-like illness (ILI) laboratory-confirmed as influenza A(H3) among the vaccination target groups. Practitioners systematically selected ILI / acute respiratory infection patients to swab within seven days of symptom onset. We restricted the study population to those meeting the EU ILI case definition and compared influenza A(H3) positive to influenza laboratory-negative patients. We used logistic regression with study site as fixed effect and calculated adjusted influenza vaccine effectiveness (IVE), controlling for potential confounders (age group, sex, month of symptom onset, chronic diseases and related hospitalisations, number of practitioner visits in the previous year). Adjusted IVE was 25% (95% confidence intervals (CI): -6 to 47) among all ages (n=1,014), 63% (95% CI: 26 to 82) in adults aged between 15 and 59 years and 15% (95% CI: -33 to 46) among those aged 60 years and above. Adjusted IVE was 38% (95%CI: -8 to 65) in the early influenza season (up to week 6 of 2012) and -1% (95% CI: -60 to 37) in the late phase. The results suggested a low adjusted IVE in 2011/12. The lower IVE in the late season could be due to virus changes through the season or waning immunity. Virological surveillance should be enhanced to quantify change over time and understand its relation with duration of immunological protection. Seasonal influenza vaccines should be improved to achieve acceptable levels of protection.
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174 citations
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01 Jan 2014
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Abstract: XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.
9,618 citations
TL;DR: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors.
Abstract: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors. While the organization of the book is similar to previous editions, major emphasis has been placed on disorders that affect multiple organ systems. Important advances in genetics, immunology, and oncology are emphasized. Many chapters of the book have been rewritten and describe major advances in internal medicine. Subjects that received only a paragraph or two of attention in previous editions are now covered in entire chapters. Among the chapters that have been extensively revised are the chapters on infections in the compromised host, on skin rashes in infections, on many of the viral infections, including cytomegalovirus and Epstein-Barr virus, on sexually transmitted diseases, on diabetes mellitus, on disorders of bone and mineral metabolism, and on lymphadenopathy and splenomegaly. The major revisions in these chapters and many
6,968 citations
Gregory A. Roth1, Gregory A. Roth2, Degu Abate3, Kalkidan Hassen Abate4 +1025 more•Institutions (333)
TL;DR: Non-communicable diseases comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2).
5,211 citations
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TL;DR: This article presents an introduction to the Health Belief Model (HBM), which states that the perception of a personal health behavior threat is influenced by at least three factors: general health values, interest and concern about health; specific beliefs about vulnerability to a particular health threat; and beliefs about the consequences of the health problem.
Abstract: This article presents an introduction to the Health Belief Model (HBM). The HBM states that the perception of a personal health behavior threat is influenced by at least three factors: general health values, interest and concern about health; specific beliefs about vulnerability to a particular health threat; and beliefs about the consequences of the health problem. Once an individual perceives a threat to his health and is simultaneously cued to action, if his perceived benefits outweighs his perceived costs, then the individual is most likely to undertake the recommended preventive health action. Key words: health promotion, health belief model, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, self-efficacy. Content available only in Romanian.
2,163 citations
Centers for Disease Control and Prevention1, Emory University2, University of New South Wales3, Pan American Health Organization4, National Health Laboratory Service5, University of Oslo6, Norwegian Institute of Public Health7, Li Ka Shing Faculty of Medicine, University of Hong Kong8, Singapore Ministry of Health9, Medical University of Vienna10, Chinese Center for Disease Control and Prevention11, Statens Serum Institut12, All India Institute of Medical Sciences13, Thailand Ministry of Public Health14, Robert Koch Institute15
TL;DR: These global influenza-associated respiratory mortality estimates are higher than previously reported, suggesting that previous estimates might have underestimated disease burden.
1,658 citations