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PLOS Neglected Tropical Diseases | 2014

The Global Burden of Disease Study 2010: Interpretation and Implications for the Neglected Tropical Diseases

Peter J. Hotez; Miriam Alvarado; María-Gloria Basáñez; Ian Bolliger; Rupert Bourne; Michel Boussinesq; Simon Brooker; Ami Shah Brown; Geoffrey Buckle; Christine M. Budke; Hélène Carabin; Luc E. Coffeng; Eric M. Fèvre; Thomas Fürst; Yara A. Halasa; Rashmi Jasrasaria; Nicole Johns; Jennifer Keiser; Charles H. King; Rafael Lozano; Michele E. Murdoch; Simon O'Hanlon; Sébastien Pion; Rachel L. Pullan; K. D. Ramaiah; Thomas Roberts; Donald S. Shepard; Jennifer L. Smith; Wilma A. Stolk; Eduardo A. Undurraga

The publication of the Global Burden of Disease Study 2010 (GBD 2010) and the accompanying collection of Lancet articles in December 2012 provided the most comprehensive attempt to quantify the burden of almost 300 diseases, injuries, and risk factors, including neglected tropical diseases (NTDs) [1]–[3]. The disability-adjusted life year (DALY), the metric used in the GBD 2010, is a tool which may be used to assess and compare the relative impact of a number of diseases locally and globally [4]–[6]. Table 1 lists the major NTDs as defined by the World Health Organization (WHO) [7] and their estimated DALYs [1]. With a few exceptions, most of the NTDs currently listed by the WHO [7] or those on the expanded list from PLOS Neglected Tropical Diseases [8] are disablers rather than killers, so the DALY estimates represent one of the few metrics available that could fully embrace the chronic effects of these infections. Table 1 Estimated DALYs (in millions) of the NTDs from the Global Burden of Disease Study 2010. Disease DALYs from GBD 2010 (numbers in parentheses indicate 95% confidence intervals) [1] NTDs 26.06 (20.30–35.12) Intestinal nematode infections 5.19 (2.98–8.81) Hookworm disease 3.23 (1.70–5.73) Ascariasis 1.32 (0.71–2.35) Trichuriasis 0.64 (0.35–1.06) Leishmaniasis 3.32 (2.18–4.90) Schistosomiasis 3.31 (1.70–6.26) Lymphatic filariasis 2.78 (1.8–4.00) Food-borne trematodiases 1.88 (0.70–4.84) Rabies 1.46 ((0.85–2.66) Dengue 0.83 (0.34–1.41) African trypanosomiasis 0.56 (0.08–1.77) Chagas disease 0.55 (0.27–1.05) Cysticercosis 0.50 (0.38–0.66) Onchocerciasis 0.49 (0.36–0.66) Trachoma 0.33 (0.24–0.44) Echinococcosis 0.14 (0.07–0.29) Yellow fever <0.001 Other NTDs * 4.72 (3.53–6.35) Open in a separate window * Relapsing fevers, typhus fever, spotted fever, Q fever, other rickettsioses, other mosquito-borne viral fevers, unspecified arthropod-borne viral fever, arenaviral haemorrhagic fever, toxoplasmosis, unspecified protozoal disease, taeniasis, diphyllobothriasis and sparganosis, other cestode infections, dracunculiasis, trichinellosis, strongyloidiasis, enterobiasis, and other helminthiases. Even DALYs, however, do not tell the complete story of the harmful effects from NTDs. Some of the specific and potential shortcomings of GBD 2010 have been highlighted elsewhere [9]. Furthermore, DALYs measure only direct health loss and, for example, do not consider the economic impact of the NTDs that results from detrimental effects on school attendance and child development, agriculture (especially from zoonotic NTDs), and overall economic productivity [10], [11]. Nor do DALYs account for direct costs of treatment, surveillance, and prevention measures. Yet, economic impact has emerged as an essential feature of the NTDs, which may trap people in a cycle of poverty and disease [10]–[12]. Additional aspects not considered by the DALY metrics are the important elements of social stigma for many of the NTDs and the spillover effects to family and community members [13], [14], loss of tourism [15], and health system overload (e.g., during dengue outbreaks). Ultimately NTD control and elimination efforts could produce social and economic benefits not necessarily reflected in the DALY metrics, especially among the most affected poor communities [11].


Journal of Investigative Dermatology | 2014

The Global Burden of Skin Disease in 2010: An Analysis of the Prevalence and Impact of Skin Conditions

Roderick J. Hay; Nicole Johns; Hywel C. Williams; Ian Bolliger; Robert P. Dellavalle; David J. Margolis; Robin Marks; Luigi Naldi; Martin A. Weinstock; Sarah Wulf; Catherine Michaud; Christopher J L Murray; Mohsen Naghavi

The Global Burden of Disease (GBD) Study 2010 estimated the GBD attributable to 15 categories of skin disease from 1990 to 2010 for 187 countries. For each of the following diseases, we performed systematic literature reviews and analyzed resulting data: eczema, psoriasis, acne vulgaris, pruritus, alopecia areata, decubitus ulcer, urticaria, scabies, fungal skin diseases, impetigo, abscess, and other bacterial skin diseases, cellulitis, viral warts, molluscum contagiosum, and non-melanoma skin cancer. We used disability estimates to determine nonfatal burden. Three skin conditions, fungal skin diseases, other skin and subcutaneous diseases, and acne were in the top 10 most prevalent diseases worldwide in 2010, and eight fell into the top 50; these additional five skin problems were pruritus, eczema, impetigo, scabies, and molluscum contagiosum. Collectively, skin conditions ranged from the 2nd to 11th leading cause of years lived with disability at the country level. At the global level, skin conditions were the fourth leading cause of nonfatal disease burden. Using more data than has been used previously, the burden due to these diseases is enormous in both high- and low-income countries. These results argue strongly to include skin disease prevention and treatment in future global health strategies as a matter of urgency.


Injury Prevention | 2016

The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Juanita A. Haagsma; Nicholas Graetz; Ian Bolliger; Mohsen Naghavi; Hideki Higashi; Erin C. Mullany; Semaw Ferede Abera; Jerry Abraham; Koranteng Adofo; Ubai Alsharif; Emmanuel A. Ameh; Walid Ammar; Carl Abelardo T Antonio; Lope H. Barrero; Tolesa Bekele; Dipan Bose; Alexandra Brazinova; Ferrán Catalá-López; Lalit Dandona; Rakhi Dandona; Paul I. Dargan; Diego De Leo; Louisa Degenhardt; Sarah Derrett; Samath D. Dharmaratne; Tim Driscoll; Leilei Duan; Sergey Petrovich Ermakov; Farshad Farzadfar; Valery L. Feigin

Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.


Faculty of Health; Institute of Health and Biomedical Innovation | 2015

The global burden of injury: Incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Juanita A. Haagsma; Nicholas Graetz; Ian Bolliger; Mohsen Naghavi; Hideki Higashi; Erin C. Mullany; Semaw Ferede Abera; Jerry Abraham; Koranteng Adofo; Ubai Alsharif; Emmanuel A. Ameh; Walid Ammar; Carl Abelardo T Antonio; Lope H. Barrero; Tolesa Bekele; Dipan Bose; Alexandra Brazinova; Ferrán Catalá-López; Lalit Dandona; Rakhi Dandona; Paul I. Dargan; Diego De Leo; Louisa Degenhardt; Sarah Derrett; Samath D. Dharmaratne; Tim Driscoll; Leilei Duan; Sergey Petrovich Ermakov; Farshad Farzadfar; Valery L. Feigin

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Mohsen Naghavi

University of Washington

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Juanita A. Haagsma

Erasmus University Rotterdam

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Hideki Higashi

University of Washington

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Jerry Abraham

University of Texas Health Science Center at San Antonio

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Lalit Dandona

University of Washington

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Nicole Johns

University of Washington

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