METAHIT.bib

@article{RN1,
   author = {Barendregt, J.J. and Oortmarssen, van G.J. and Murray, C. J. and Vos, T.},
   title = {A generic model for the assessment of disease epidemiology: the computational basis of DisMod II},
   journal = {Popul Health Metr},
   volume = {1},
   number = {1},
   pages = {4-4},
   ISSN = {1478-7954; 1011-8614},
   DOI = {10.1186/1478-7954-1-4},
   url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC156029/pdf/1478-7954-1-4.pdf},
   year = {2003},
   type = {Journal Article}
}

@article{RN2,
   author = {Barendregt, J.J. and Van Oortmarssen, G.J. and Van Hout, B.A. and Van Den Bosch, J.M.},
   title = {Coping with multiple morbidity in a life table},
   journal = {Math Popul Stud},
   volume = {7},
   number = {1},
   pages = {29-49},
   ISSN = {0889-8480},
   year = {1998},
   type = {Journal Article}
}

@article{RN3,
   author = {Mizdrak, Anja and Blakely, Tony and Cleghorn, Christine L. and Cobiac, Linda J.},
   title = {Potential of active transport to improve health, reduce healthcare costs, and reduce greenhouse gas emissions: A modelling study},
   journal = {PLOS ONE},
   volume = {14},
   number = {7},
   pages = {e0219316},
   DOI = {10.1371/journal.pone.0219316},
   url = {https://doi.org/10.1371/journal.pone.0219316
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636726/pdf/pone.0219316.pdf},
   year = {2019},
   type = {Journal Article}
}

@misc{RN4,
   author = {Global Burden of Disease Collaborative Network,},
   title = {Global Burden of Disease Study 2019 (GBD 2019) Results},
   url = {http://ghdx.healthdata.org/gbd-results-tool.},
   year = {2020},
   type = {Online Database}
}

@Inbook{RN5,
author="Carmichael, Gordon A.",
title="Analysis of Mortality: The Life Table and Survival",
bookTitle="Fundamentals of Demographic Analysis: Concepts, Measures and Methods",
year="2016",
publisher="Springer International Publishing",
address="Cham",
pages="129--211",
abstract="In earlier chapters we have played around a bit with the crude death rate (CDR). We have seen that, while it is the most readily available measure of mortality, true to its name it is crude, to the point of being at times extremely misleading. Indeed, other than as a component of population growth, it is a measure to be avoided.",
isbn="978-3-319-23255-3",
doi="10.1007/978-3-319-23255-3_4",
url="https://doi.org/10.1007/978-3-319-23255-3_4"
}

@article{RN6,
   author = {James, Spencer L. and Abate, Degu and Abate, Kalkidan Hassen and Abay, Solomon M. and Abbafati, Cristiana and Abbasi, Nooshin and Abbastabar, Hedayat and Abd-Allah, Foad and Abdela, Jemal and Abdelalim, Ahmed and Abdollahpour, Ibrahim and Abdulkader, Rizwan Suliankatchi and Abebe, Zegeye and Abera, Semaw F. and Abil, Olifan Zewdie and Abraha, Haftom Niguse and Abu-Raddad, Laith Jamal and Abu-Rmeileh, Niveen M. E. and Accrombessi, Manfred Mario Kokou and Acharya, Dilaram and Acharya, Pawan and Ackerman, Ilana N. and Adamu, Abdu A. and Adebayo, Oladimeji M. and Adekanmbi, Victor and Adetokunboh, Olatunji O. and Adib, Mina G. and Adsuar, Jose C. and Afanvi, Kossivi Agbelenko and Afarideh, Mohsen and Afshin, Ashkan and Agarwal, Gina and Agesa, Kareha M. and Aggarwal, Rakesh and Aghayan, Sargis Aghasi and Agrawal, Sutapa and Ahmadi, Alireza and Ahmadi, Mehdi and Ahmadieh, Hamid and Ahmed, Muktar Beshir and Aichour, Amani Nidhal and Aichour, Ibtihel and Aichour, Miloud Taki Eddine and Akinyemiju, Tomi and Akseer, Nadia and Al-Aly, Ziyad and Al-Eyadhy, Ayman and Al-Mekhlafi, Hesham M. and Al-Raddadi, Rajaa M. and Alahdab, Fares and Alam, Khurshid and Alam, Tahiya and Alashi, Alaa and Alavian, Seyed Moayed and Alene, Kefyalew Addis and Alijanzadeh, Mehran and Alizadeh-Navaei, Reza and Aljunid, Syed Mohamed and Alkerwi, Ala'a and Alla, François and Allebeck, Peter and Alouani, Mohamed M. L. and Altirkawi, Khalid and Alvis-Guzman, Nelson and Amare, Azmeraw T. and Aminde, Leopold N. and Ammar, Walid and Amoako, Yaw Ampem and Anber, Nahla Hamed and Andrei, Catalina Liliana and Androudi, Sofia and Animut, Megbaru Debalkie and Anjomshoa, Mina and Ansha, Mustafa Geleto and Antonio, Carl Abelardo T. and Anwari, Palwasha and Arabloo, Jalal and Arauz, Antonio and Aremu, Olatunde and Ariani, Filippo and Armoon, Bahroom and Ärnlöv, Johan and Arora, Amit and Artaman, Al and Aryal, Krishna K. and Asayesh, Hamid and Asghar, Rana Jawad and Ataro, Zerihun and Atre, Sachin R. and Ausloos, Marcel and Avila-Burgos, Leticia and Avokpaho, Euripide F. G. A. and Awasthi, Ashish and Ayala Quintanilla, Beatriz Paulina and Ayer, Rakesh and Azzopardi, Peter S. and Babazadeh, Arefeh and Badali, Hamid and Badawi, Alaa and Bali, Ayele Geleto and others },
   title = {Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017},
   journal = {The Lancet},
   volume = {392},
   number = {10159},
   pages = {1789-1858},
   ISSN = {0140-6736},
   DOI = {10.1016/S0140-6736(18)32279-7},
   url = {https://doi.org/10.1016/S0140-6736(18)32279-7},
   year = {2018},
   type = {Journal Article}
}


@article{RN7,
   author = {Zapata-Diomedi, Belen and Knibbs, Luke D. and Ware, Robert S. and Heesch, Kristiann C. and Tainio, Marko and Woodcock, James and Veerman, J. Lennert},
   title = {A shift from motorised travel to active transport: What are the potential health gains for an Australian city?},
   journal = {PLOS One},
   volume = {12},
   number = {10},
   pages = {e0184799},
   DOI = {10.1371/journal.pone.0184799},
   url = {https://doi.org/10.1371/journal.pone.0184799},
   year = {2017},
   type = {Journal Article}
}

@article{RN8,
   author = {Chapman, Ralph and Keall, Michael and Howden-Chapman, Philippa and Grams, Mark and Witten, Karen and Randal, Edward and Woodward, Alistair},
   title = {A Cost Benefit Analysis of an Active Travel Intervention with Health and Carbon Emission Reduction Benefits},
   journal = {International Journal of Environmental Research and Public Health},
   volume = {15},
   number = {5},
   pages = {962},
   ISSN = {1660-4601},
   url = {http://www.mdpi.com/1660-4601/15/5/962
https://res.mdpi.com/ijerph/ijerph-15-00962/article_deploy/ijerph-15-00962.pdf?filename=&attachment=1},
   year = {2018},
   type = {Journal Article}
}

@article{RN9,
   author = {Zapata-Diomedi, Belén and Boulangé, Claire and Giles-Corti, Billie and Phelan, Kath and Washington, Simon and Veerman, J. Lennert and Gunn, Lucy Dubrelle},
   title = {Physical activity-related health and economic benefits of building walkable neighbourhoods: a modelled comparison between brownfield and greenfield developments},
   journal = {Int J Behav Med},
   volume = {16},
   number = {1},
   pages = {11},
   ISSN = {1479-5868},
   DOI = {10.1186/s12966-019-0775-8},
   url = {https://doi.org/10.1186/s12966-019-0775-8},
   year = {2019},
   type = {Journal Article}
}

@article{RN10,
   author = {Cobiac, L.J. and Vos, T. and Barendregt, J.J.},
   title = {Cost-effectiveness of interventions to promote physical activity: a modelling study},
   journal = {Plos Med},
   volume = {6},
   number = {7},
   pages = {e1000110-e1000110},
   ISSN = {1549-1676},
   DOI = {10.1371/journal.pmed.1000110},
   url = {http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=19597537&site=ehost-live
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2700960/pdf/pmed.1000110.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2700960/pdf/pmed.1000110.pdf},
   year = {2009},
   type = {Journal Article}
}



@article{RN11,
   author = {Barendregt, J.J. and Veerman, J.L.},
   title = {Categorical versus continuous risk factors and the calculation of potential impact fractions},
   journal = {J Epidemiol Community Health},
   volume = {64},
   number = {3},
   pages = {209-212},
   ISSN = {0143-005X},
   DOI = {10.1136/jech.2009.090274},
   url = {http://uq.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Ri9NAEB5EDjkonvZOmzuVfdAHD1Kzu2k2-yjFQ4S-KfggLElmA_qQ9toU_PnOZNP0WvpwvjVkNiWbzc5M5vu-AdBqmsRHe4LXJeo0S1JkzamK_FqOlfWyzDNWH_FHnz9uTxf0pc4-_fGhhmCnjCg0rATKTpvz9MW3PbjDdP3JWLwupqOfuwLliQscOKR-Wx6c0RlzQ7abk16p80B3F7DjzeyQJ0M5-v4hmedA4PER9_UCnvchqfgc1tBLeOKbMTxb9EX3MYzCpz0RGEuX8GvO6hJBW0QwqmO7EYx4_91sl_STweqib-MjigYFhZiCTKu-UZhY1mK1bBmlROMDS1PU60Cw2FzBj7sv3-df475JQ1xJw-VfVUqkHAYpUErR2KK0HiloqCkwyGdVXSudVjpJsKZMEpUsS4toMlNKW1CyMtOvYFQwmL9pO9IfTkD4fEYjjfJKFTSqyI1NfJ4i1lhhUtkIPu4emVsFUQ7XJTM6czyP3FvTujCPEbzjZ-oCrXR4n53iyIS2oyyC150Bv9At3ezBmbAO9n9iM6uMlBF8CAtjOKPcRrnEGZOllvsw5alr_7YRTI7sNAV8XG1OInj_cEkNBl0teCZz26VvJgL5GLN5L-jOQgbt9X9Mzw2cBzwEo-rewNN2vfVvmRH8D8qlGrk
http://jech.bmj.com/content/64/3/209.full.pdf
https://jech.bmj.com/content/jech/64/3/209.full.pdf},
   year = {2010},
   type = {Journal Article}
}

@article{RN12,
   author = {Ainsworth, B. E. and Haskell, W. L. and Herrmann, S. D. and Meckes, N. and Bassett, D. R., Jr. and Tudor-Locke, C. and Greer, J. L. and Vezina, J. and Whitt-Glover, M. C. and Leon, A. S.},
   title = {2011 compendium of physical activities: a second update of codes and MET values},
   journal = {Med Sci Sports Exerc},
   volume = {43},
   number = {8},
   pages = {1575-81},
   ISSN = {0195-9131},
   DOI = {doi: 10.1249/MSS.0b013e31821ece12},
   url = {10.1249/MSS.0b013e31821ece12},
   year = {2011},
   type = {Journal Article}
}


@article{RN13,
   author = {Smith, Andrea D. and Crippa, Alessio and Woodcock, James and Brage, Søren},
   title = {Physical activity and incident type 2 diabetes mellitus: a systematic review and dose–response meta-analysis of prospective cohort studies},
   journal = {Diabetologia},
   pages = {1-19},
   ISSN = {1432-0428},
   DOI = {10.1007/s00125-016-4079-0},
   url = {http://dx.doi.org/10.1007/s00125-016-4079-0
http://download.springer.com/static/pdf/893/art%253A10.1007%252Fs00125-016-4079-0.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00125-016-4079-0&token2=exp=1488929260~acl=%2Fstatic%2Fpdf%2F893%2Fart%25253A10.1007%25252Fs00125-016-4079-0.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs00125-016-4079-0*~hmac=9052b0979210b658da9a097815db257e6978999ea3bc8bf0092d282ca5053e0e},
   year = {2016},
   type = {Journal Article}
}

@article{RN14,
   author = {Peters, S. A. and Huxley, R. R. and Woodward, M.},
   title = {Diabetes as risk factor for incident coronary heart disease in women compared with men: a systematic review and meta-analysis of 64 cohorts including 858,507 individuals and 28,203 coronary events},
   journal = {Diabetologia},
   volume = {57},
   number = {8},
   pages = {1542-51},
   ISSN = {0012-186x},
   DOI = {10.1007/s00125-014-3260-6},
   year = {2014},
   type = {Journal Article}
}

@article{RN15,
   author = {Peters, Sanne A. E. and Huxley, Rachel R. and Woodward, Mark},
   title = {Diabetes as a risk factor for stroke in women compared with men: a systematic review and meta-analysis of 64 cohorts, including 775 385 individuals and 12 539 strokes},
   journal = {The Lancet},
   volume = {383},
   number = {9933},
   pages = {1973-1980},
   ISSN = {0140-6736},
   DOI = {10.1016/S0140-6736(14)60040-4},
   url = {https://doi.org/10.1016/S0140-6736(14)60040-4},
   year = {2014},
   type = {Journal Article}
}

@article{RN16,
author = {Gold, Marthe R. and Stevenson, David and Fryback, Dennis G.},
title = {HALYs and QALYs and DALYs, Oh My: Similarities and Differences in Summary Measures of Population Health},
journal = {Annual Review of Public Health},
volume = {23},
number = {1},
pages = {115-134},
year = {2002},
doi = {10.1146/annurev.publhealth.23.100901.140513},
    note ={PMID: 11910057},

URL = { 
        https://doi.org/10.1146/annurev.publhealth.23.100901.140513
    
},
eprint = { 
        https://doi.org/10.1146/annurev.publhealth.23.100901.140513
    
}
,
    abstract = { ▪ Abstract Health-adjusted life years (HALYs) are population health measures permitting morbidity and mortality to be simultaneously described within a single number. They are useful for overall estimates of burden of disease, comparisons of the relative impact of specific illnesses and conditions on communities, and in economic analyses. Quality-adjusted life years (QALYs) and disability-adjusted life years (DALYs) are types of HALYs whose original purposes were at variance. Their growing importance and the varied uptake of the methodology by different U.S. and international entities makes it useful to understand their differences as well as their similarities. A brief history of both measures is presented and methods for calculating them are reviewed. Methodological and ethical issues that have been raised in association with HALYs more generally are presented. Finally, we raise concerns about the practice of using different types of HALYs within different decision-making contexts and urge action that builds and clarifies this useful measurement field. }
}

@article{RN17,
title = {Understanding DALYs},
journal = {Journal of Health Economics},
volume = {16},
number = {6},
pages = {703-730},
year = {1997},
issn = {0167-6296},
doi = {https://doi.org/10.1016/S0167-6296(97)00004-0},
url = {https://www.sciencedirect.com/science/article/pii/S0167629697000040},
author = {Christopher J.L. Murray and Arnab K. Acharya},
keywords = {Disability-adjusted life years (DALYs), Health care policy, Cost-effective analyses, Quality of life years (QALYs), Measurement of health status, Person trade-off},
abstract = {The measurement unit disability-adjusted life years (DALYs), used in recent years to quantify the burden of diseases, injuries and risk factors on human populations, is grounded on cogent economic and ethical principles and can guide policies toward delivering more cost-effective and equitable health care. DALYs follow from a fairness principle that treats ‘like as like’ within an information set comprising the health conditions of individuals, differentiated solely by age and sex. The particular health state weights used to account for non-fatal health outcomes are derived through the application of various forms of the person trade-off.}
}

@article{RN18,
title = {Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010},
journal = {The Lancet},
volume = {380},
number = {9859},
pages = {2129-2143},
year = {2012},
issn = {0140-6736},
doi = {https://doi.org/10.1016/S0140-6736(12)61680-8},
url = {https://www.sciencedirect.com/science/article/pii/S0140673612616808},
author = {Joshua A Salomon and Theo Vos and Daniel R Hogan and Michael Gagnon and Mohsen Naghavi and Ali Mokdad and Nazma Begum and Razibuzzaman Shah and Muhammad Karyana and Soewarta Kosen and Mario Reyna Farje and Gilberto Moncada and Arup Dutta and Sunil Sazawal and Andrew Dyer and Jason Seiler and Victor Aboyans and Lesley Baker and Amanda Baxter and Emelia J Benjamin and Kavi Bhalla and Aref Bin Abdulhak and Fiona Blyth and Rupert Bourne and Tasanee Braithwaite and Peter Brooks and Traolach S Brugha and Claire Bryan-Hancock and Rachelle Buchbinder and Peter Burney and Bianca Calabria and Honglei Chen and Sumeet S Chugh and Rebecca Cooley and Michael H Criqui and Marita Cross and Kaustubh C Dabhadkar and Nabila Dahodwala and Adrian Davis and Louisa Degenhardt and Cesar Díaz-Torné and E Ray Dorsey and Tim Driscoll and Karen Edmond and Alexis Elbaz and Majid Ezzati and Valery Feigin and Cleusa P Ferri and Abraham D Flaxman and Louise Flood and Marlene Fransen and Kana Fuse and Belinda J Gabbe and Richard F Gillum and Juanita Haagsma and James E Harrison and Rasmus Havmoeller and Roderick J Hay and Abdullah Hel-Baqui and Hans W Hoek and Howard Hoffman and Emily Hogeland and Damian Hoy and Deborah Jarvis and Jost B Jonas and Ganesan Karthikeyan and Lisa Marie Knowlton and Tim Lathlean and Janet L Leasher and Stephen S Lim and Steven E Lipshultz and Alan D Lopez and Rafael Lozano and Ronan Lyons and Reza Malekzadeh and Wagner Marcenes and Lyn March and David J Margolis and Neil McGill and John McGrath and George A Mensah and Ana-Claire Meyer and Catherine Michaud and Andrew Moran and Rintaro Mori and Michele E Murdoch and Luigi Naldi and Charles R Newton and Rosana Norman and Saad B Omer and Richard Osborne and Neil Pearce and Fernando Perez-Ruiz and Norberto Perico and Konrad Pesudovs and David Phillips and Farshad Pourmalek and Martin Prince and Jürgen T Rehm and Guiseppe Remuzzi and Kathryn Richardson and Robin Room and Sukanta Saha and Uchechukwu Sampson and Lidia Sanchez-Riera and Maria Segui-Gomez and Saeid Shahraz and Kenji Shibuya and David Singh and Karen Sliwa and Emma Smith and Isabelle Soerjomataram and Timothy Steiner and Wilma A Stolk and Lars Jacob Stovner and Christopher Sudfeld and Hugh R Taylor and Imad M Tleyjeh and Marieke J {van der Werf} and Wendy L Watson and David J Weatherall and Robert Weintraub and Marc G Weisskopf and Harvey Whiteford and James D Wilkinson and Anthony D Woolf and Zhi-Jie Zheng and Christopher JL Murray},
abstract = {Summary
Background
Measurement of the global burden of disease with disability-adjusted life-years (DALYs) requires disability weights that quantify health losses for all non-fatal consequences of disease and injury. There has been extensive debate about a range of conceptual and methodological issues concerning the definition and measurement of these weights. Our primary objective was a comprehensive re-estimation of disability weights for the Global Burden of Disease Study 2010 through a large-scale empirical investigation in which judgments about health losses associated with many causes of disease and injury were elicited from the general public in diverse communities through a new, standardised approach.
Methods
We surveyed respondents in two ways: household surveys of adults aged 18 years or older (face-to-face interviews in Bangladesh, Indonesia, Peru, and Tanzania; telephone interviews in the USA) between Oct 28, 2009, and June 23, 2010; and an open-access web-based survey between July 26, 2010, and May 16, 2011. The surveys used paired comparison questions, in which respondents considered two hypothetical individuals with different, randomly selected health states and indicated which person they regarded as healthier. The web survey added questions about population health equivalence, which compared the overall health benefits of different life-saving or disease-prevention programmes. We analysed paired comparison responses with probit regression analysis on all 220 unique states in the study. We used results from the population health equivalence responses to anchor the results from the paired comparisons on the disability weight scale from 0 (implying no loss of health) to 1 (implying a health loss equivalent to death). Additionally, we compared new disability weights with those used in WHO's most recent update of the Global Burden of Disease Study for 2004.
Findings
13 902 individuals participated in household surveys and 16 328 in the web survey. Analysis of paired comparison responses indicated a high degree of consistency across surveys: correlations between individual survey results and results from analysis of the pooled dataset were 0·9 or higher in all surveys except in Bangladesh (r=0·75). Most of the 220 disability weights were located on the mild end of the severity scale, with 58 (26%) having weights below 0·05. Five (11%) states had weights below 0·01, such as mild anaemia, mild hearing or vision loss, and secondary infertility. The health states with the highest disability weights were acute schizophrenia (0·76) and severe multiple sclerosis (0·71). We identified a broad pattern of agreement between the old and new weights (r=0·70), particularly in the moderate-to-severe range. However, in the mild range below 0·2, many states had significantly lower weights in our study than previously.
Interpretation
This study represents the most extensive empirical effort as yet to measure disability weights. By contrast with the popular hypothesis that disability assessments vary widely across samples with different cultural environments, we have reported strong evidence of highly consistent results.
Funding
Bill & Melinda Gates Foundation.}
}

@article{RN19,
    author = {Blakely, Tony and Moss, Rob and Collins, James and Mizdrak, Anja and Singh, Ankur and Carvalho, Natalie and Wilson, Nick and Geard, Nicholas and Flaxman, Abraham},
    title = "{Proportional multistate lifetable modelling of preventive interventions: concepts, code and worked examples}",
    journal = {International Journal of Epidemiology},
    volume = {49},
    number = {5},
    pages = {1624-1636},
    year = {2020},
    month = {10},
    abstract = "{Burden of Disease studies—such as the Global Burden of Disease (GBD) Study—quantify health loss in disability-adjusted life-years. However, these studies stop short of quantifying the future impact of interventions that shift risk factor distributions, allowing for trends and time lags. This methodology paper explains how proportional multistate lifetable (PMSLT) modelling quantifies intervention impacts, using comparisons between three tobacco control case studies [eradication of tobacco, tobacco-free generation i.e. the age at which tobacco can be legally purchased is lifted by 1 year of age for each calendar year) and tobacco tax]. We also illustrate the importance of epidemiological specification of business-as-usual in the comparator arm that the intervention acts on, by demonstrating variations in simulated health gains when incorrectly: (i) assuming no decreasing trend in tobacco prevalence; and (ii) not including time lags from quitting tobacco to changing disease incidence. In conjunction with increasing availability of baseline and forecast demographic and epidemiological data, PMSLT modelling is well suited to future multiple country comparisons to better inform national, regional and global prioritization of preventive interventions. To facilitate use of PMSLT, we introduce a Python-based modelling framework and associated tools that facilitate the construction, calibration and analysis of PMSLT models.}",
    issn = {0300-5771},
    doi = {10.1093/ije/dyaa132},
    url = {https://doi.org/10.1093/ije/dyaa132},
    eprint = {https://academic.oup.com/ije/article-pdf/49/5/1624/34947287/dyaa132.pdf},
}