Attenzione: i dati modificati non sono ancora stati salvati. Per confermare inserimenti o cancellazioni di voci è necessario confermare con il tasto SALVA/INSERISCI in fondo alla pagina
Informativa cookie
Utilizziamo cookie di prima e di terza parte per garantire la funzionalità del sito e per mostrare "le citazioni sociali (PLUMX)", "le pubblicazioni suggerite (core recommender)", "il grafico delle citazioni" e "le licenze dei fulltext". I Cookie di terze parti sono disattivati di default salvo esplicito consenso (Accetta tutti).
Preferenze cookie
Utilizzo dei cookie?
Utilizziamo i cookie per consentire il funzionamento del sito e per migliorare la tua esperienza online. Puoi scegliere per ogni categoria se abilitarli/disabilitarli quando vuoi. Per maggiori dettagli relativi ai cookie ed altri dati sensibili, puoi leggere la cookie policy e la privacy policy integrale.
Questi cookie sono essenziali per il funzionamento del nostro sito. Senza questi cookie, il sito potrebbe non funzionare correttamente.
Questi cookie consentono al sito di ricordare le scelte che hai eseguito in precedenza
Nome
Dominio
Durata
Descrizione
_pk.*
matomo.valueforyou.cineca.it
sessione
permette il tracciamento delle scelte fatte dall'utente
Questi cookie consentono al sito di accedere a funzionalità esterne
Nome
Dominio
Durata
Descrizione
s_.*
plu.mx
sessione
recupero grafico citazioni sociali da plumx
A_.*
core.ac.uk
7 giorni
recupero pubblicazioni consigliate per il pannello core-recommander
GS_.*
gstatic.com
richiesta http
visualizza grafico citazioni
CC_.*
creativecommons.org
richiesta http
visualizza licenza bitstream
Maggiori informazioni
Per qualsiasi domanda in relazione alle nostre policy sui cookie e sulle tue scelte, puoi visualizzare l'informativa completa a questo url.
IRIS
Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation.
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
Forouzanfar M. H.;Afshin A.;Alexander L. T.;Biryukov S.;Brauer M.;Cercy K.;Charlson F. J.;Cohen A. J.;Dandona L.;Estep K.;Ferrari A. J.;Frostad J. J.;Fullman N.;Godwin W. W.;Griswold M.;Hay S. I.;Kyu H. H.;Larson H. J.;Lim S. S.;Liu P. Y.;Lopez A. D.;Lozano R.;Marczak L.;Mokdad A. H.;Moradi-Lakeh M.;Naghavi M.;Reitsma M. B.;Roth G. A.;Sur P. J.;Vos T.;Wagner J. A.;Wang H.;Zhao Y.;Zhou M.;Barber R. M.;Bell B.;Blore J. D.;Casey D. C.;Coates M. M.;Cooperrider K.;Cornaby L.;Dicker D.;Erskine H. E.;Fleming T.;Foreman K.;Gakidou E.;Haagsma J. A.;Johnson C. O.;Kemmer L.;Ku T.;Leung J.;Masiye F.;Millear A.;Mirarefin M.;Misganaw A.;Mullany E.;Mumford J. E.;Ng M.;Olsen H.;Rao P.;Reinig N.;Roman Y.;Sandar L.;Santomauro D. F.;Slepak E. L.;Sorensen R. J. D.;Thomas B. A.;Vollset S. E.;Whiteford H. A.;Zipkin B.;Murray C. J. L.;Mock C. N.;Anderson B. O.;Futran N. D.;Anderson H. R.;Bhutta Z. A.;Nisar M. I.;Akseer N.;Krueger H.;Gotay C. C.;Kissoon N.;Kopec J. A.;Pourmalek F.;Burnett R.;Abajobir A. A.;Knibbs L. D.;Veerman J. L.;Lalloo R.;Scott J. G.;Alam N. K. M.;Gouda H. N.;Guo Y.;McGrath J. J.;Jeemon P.;Dandona R.;Goenka S.;Kumar G. A.;Gething P. W.;Bisanzio D.;Deribew A.;Darby S. C.;Ali R.;Bennett D. A.;Jha V.;Kinfu Y.;McKee M.;Murthy G. V. S.;Pearce N.;Stockl H.;Duan L.;Jin Y.;Li Y.;Liu S.;Wang L.;Ye P.;Liang X.;Azzopardi P.;Patton G. C.;Meretoja A.;Alam K.;Borschmann R.;Colquhoun S. M.;Weintraub R. G.;Szoeke C. E. I.;Ademi Z.;Taylor H. R.;Wijeratne T.;Batis C.;Barquera S.;Campos-Nonato I. R.;Contreras A. G.;Cuevas-Nasu L.;De V.;Gomez-Dantes H.;Heredia-Pi I. B.;Medina C.;Mejia-Rodriguez F.;Montanez Hernandez J. C.;Razo-Garcia C. A.;Rivera J. A.;Rodriguez-Ramirez S.;Sanchez-Pimienta T. G.;Servan-Mori E. E.;Shamah T.;Mensah G. A.;Hoff H. J.;Neal B.;Driscoll T. R.;Kemp A. H.;Leigh J.;Mekonnen A. B.;Bhatt S.;Furst T.;Piel F. B.;Rodriguez A.;Hutchings S. J.;Majeed A.;Soljak M.;Salomon J. A.;Thorne-Lyman A. L.;Ajala O. N.;Barnighausen T.;Cahill L. E.;Ding E. L.;Farvid M. S.;Khatibzadeh S.;Wagner G. R.;Shrime M. G.;Fitchett J. R. A.;Aasvang G. M.;Savic M.;Abate K. H.;Gebrehiwot T. T.;Gebremedhin A. T.;Abbafati C.;Abbas K. M.;Abd-Allah F.;Abdulle A. M.;Abera S. F.;Melaku Y. A.;Abyu G. Y.;Betsu B. D.;Hailu G. B.;Tekle D. Y.;Yalew A. Z.;Abraham B.;Abu-Raddad L. J.;Adebiyi A. O.;Adedeji I. A.;Adou A. K.;Adsuar J. C.;Agardh E. E.;Rehm J.;Badawi A.;Popova S.;Agarwal A.;Ahmad A.;Akinyemiju T. F.;Schwebel D. C.;Singh J. A.;Al-Aly Z.;Aldhahri S. F.;Altirkawi K. A.;Terkawi A. S.;Aldridge R. W.;Tillmann T.;Alemu Z. A.;Tegegne T. K.;Alkerwi A.;Alla F.;Guillemin F.;Allebeck P.;Rabiee R. H. S.;Fereshtehnejad S. M.;Kivipelto M.;Carrero J. J.;Weiderpass E.;Havmoeller R.;Sindi S.;Alsharif U.;Alvarez E.;Alvis-Guzman N.;Amare A. T.;Ciobanu L. G.;Taye B. W.;Amberbir A.;Amegah A. K.;Amini H.;Karema C. K.;Ammar W.;Harb H. L.;Amrock S. M.;Andersen H. H.;Antonio C. A. T.;Faraon E. J. A.;Anwari P.;Arnlov J.;Larsson A.;Artaman A.;Asayesh H.;Asghar R. J.;Assadi R.;Atique S.;Avokpaho E. F. G. A.;Awasthi A.;Ayala B. P.;Bacha U.;Bahit M. C.;Balakrishnan K.;Barac A.;Barker-Collo S. L.;del Pozo-Cruz B.;Mohammed S.;Barregard L.;Petzold M.;Barrero L. H.;Basu S.;Del L. C.;Bazargan-Hejazi S.;Beardsley J.;Bedi N.;Beghi E.;Sheth K. N.;Bell M. L.;Huang J. J.;Bello A. K.;Santos I. S.;Bensenor I. M.;Lotufo P. A.;Berhane A.;Wolfe C. D.;Bernabe E.;Roba H. S.;Beyene A. S.;Hassen T. A.;Mesfin Y. M.;Bhala N.;Bhansali A.;Biadgilign S.;Bikbov B.;Bjertness E.;Htet A. S.;Boufous S.;Degenhardt L.;Resnikoff S.;Calabria B.;Bourne R. R. A.;Brainin M.;Brazinova A.;Majdan M.;Shen J.;Breitborde N. J. K.;Brenner H.;Schottker B.;Broday D. M.;Brugha T. S.;Brunekreef B.;Kromhout H.;Butt Z. A.;van Donkelaar A.;Martin R. V.;Cardenas R.;Carpenter D. O.;Castaneda-Orjuela C. A.;Castillo J.;Castro R. E.;Catala-Lopez F.;Chang J.;Chiang P. P.;Chibalabala M.;Chimed-Ochir O.;Jiang Y.;Takahashi K.;Chisumpa V. H.;Mapoma C. C.;Chitheer A. A.;Choi J. J.;Christensen H.;Christopher D. J.;Cooper L. T.;Crump J. A.;Poulton R. G.;Damasceno A.;Dargan P. I.;das Neves J.;Davis A. C.;Newton J. N.;Steel N.;Davletov K.;de Castro E. F.;De D.;Dellavalle R. P.;Des D. C.;Dharmaratne S. D.;Dhillon P. K.;Lal D. K.;Zodpey S.;Diaz-Torne C.;Dorsey E. R.;Doyle K. E.;Dubey M.;Rahman M. H. U.;Ram U.;Singh A.;Yadav A. K.;Duncan B. B.;Kieling C.;Schmidt M. I.;Elyazar I.;Endries A. Y.;Ermakov S. P.;Eshrati B.;Farzadfar F.;Kasaeian A.;Parsaeian M.;Esteghamati A.;Hafezi-Nejad N.;Sheikhbahaei S.;Fahimi S.;Malekzadeh R.;Roshandel G.;Sepanlou S. G.;Hassanvand M. S.;Heydarpour P.;Rahimi-Movaghar V.;Yaseri M.;Farid T. A.;Khan A. R.;Farinha C. S. E. S.;Faro A.;Feigin V. L.;Fernandes J. G.;Fischer F.;Foigt N.;Shiue I.;Fowkes F. G. R.;Franklin R. C.;Garcia-Basteiro A. L.;Geleijnse J. M.;Jibat T.;Gessner B. D.;Tefera W.;Giref A. Z.;Haile D.;Manamo W. A. A.;Giroud M.;Gishu M. D.;Martinez-Raga J.;Gomez-Cabrera M. C.;Gona P.;Goodridge A.;Gopalani S. V.;Goto A.;Inoue M.;Gugnani H. C.;Gupta R.;Gutierrez R. A.;Orozco R.;Halasa Y. A.;Undurraga E. A.;Hamadeh R. R.;Hamidi S.;Handal A. J.;Hankey G. J.;Hao Y.;Harikrishnan S.;Haro J. M.;Hernandez-Llanes N. F.;Hoek H. W.;Tura A. K.;Horino M.;Horita N.;Hosgood H. D.;Hoy D. G.;Hsairi M.;Hu G.;Husseini A.;Huybrechts I.;Iburg K. M.;Idrisov B. T.;Kwan G. F.;Ileanu B. V.;Pana A.;Kawakami N.;Shibuya K.;Jacobs T. A.;Jacobsen K. H.;Jahanmehr N.;Jakovljevic M. B.;Jansen H. A. F.;Jassal S. K.;Stein M. B.;Javanbakht M.;Jayaraman S. P.;Jayatilleke A. U.;Jee S. H.;Jonas J. B.;Kabir Z.;Kalkonde Y.;Kamal R.;She J.;Kan H.;Karch A.;Karimkhani C.;Kaul A.;Kazi D. S.;Keiyoro P. N.;Parry C. D.;Kengne A. P.;Matzopoulos R.;Wiysonge C. S.;Stein D. J.;Mayosi B. M.;Keren A.;Khader Y. S.;Khan E. A.;Khan G.;Khang Y. H.;Won S.;Khera S.;Tavakkoli M.;Khoja T. A. M.;Khubchandani J.;Kim C.;Kim D.;Kimokoti R. W.;Kokubo Y.;Koul P. A.;Koyanagi A.;Kravchenko M.;Varakin Y. Y.;Kuate B.;Kuchenbecker R. S.;Kucuk B.;Kuipers E. J.;Lallukka T.;Shiri R.;Meretoja T. J.;Lan Q.;Latif A. A.;Lawrynowicz A. E. B.;Leasher J. L.;Levi M.;Li X.;Liang J.;Lloyd B. K.;Logroscino G.;Lunevicius R.;Pope D.;Mahdavi M.;Malta D. C.;Marcenes W.;Matsushita K.;Nachega J. B.;Tran B. X.;Meaney P. A.;Mehari A.;Tedla B. A.;Memish Z. A.;Mendoza W.;Mensink G. B. M.;Mhimbira F. A.;Miller T. R.;Mills E. J.;Mohammadi A.;Mola G. L. D.;Monasta L.;Morawska L.;Norman R. E.;Mori R.;Mozaff D.;Shi P.;Werdecker A.;Mueller U. O.;Paternina A. J.;Westerman R.;Seedat S.;Naheed A.;Nangia V.;Nassiri N.;Nguyen Q. L.;Nkamedjie P. M.;Norheim O. F.;Norrving B.;Nyakarahuka L.;Obermeyer C. M.;Ogbo F. A.;Oh I.;Oladimeji O.;Sartorius B.;Olusanya B. O.;Olivares P. R.;Olusanya J. O.;Opio J. N.;Oren E.;Ortiz A.;Ota E.;Mahesh P. A.;Park E.;Patel T.;Patil S. T.;Patten S. B.;Wang J.;Pereira D. M.;Cortinovis M.;Giussani G.;Perico N.;Remuzzi G.;Pesudovs K.;Phillips M. R.;Pillay J. D.;Plass D.;Tobollik M.;Polinder S.;Pond C. D.;Pope C. A.;Prasad N. M.;Qorbani M.;Radfar A.;Rafay A.;Rana S. M.;Rahman M.;Rahman S. U.;Rajsic S.;Rai R. K.;Raju M.;Ranganathan K.;Refaat A. H.;Rehm C. D.;Ribeiro A. L.;Rojas-Rueda D.;Roy A.;Satpathy M.;Tandon N.;Rothenbacher D.;Saleh M. M.;Sanabria J. R.;Sanchez-Riera L.;Sanchez-Nino M. D.;Sarmiento-Suarez R.;Sawhney M.;Schmidhuber J.;Schneider I. J. C.;Schutte A. E.;Silva D. A. S.;Shahraz S.;Shin M.;Shaheen A.;Shaikh M. A.;Sharma R.;Shigematsu M.;Yoon S.;Shishani K.;Sigfusdottir I. D.;Singh P. K.;Silveira D. G. A.;Silverberg J. I.;Yano Y.;Soneji S.;Sposato L. A.;Steckling N.;Sreeramareddy C. T.;Stathopoulou V.;Stroumpoulis K.;Sunguya B. F.;Swaminathan S.;Sykes B. L.;Tabares-Seisdedos R.;Talongwa R. T.;Tanne D.;Tuzcu E. M.;Thakur J.;Shaddick G.;Thomas M. L.;Thrift A. G.;Thurston G. D.;Thomson A. J.;Topor-Madry R.;Topouzis F.;Towbin J. A.;Uthman O. A.;Tobe-Gai R.;Tsilimparis N.;Tsala Z.;Tyrovolas S.;Ukwaja K. N.;van Os J.;Vasankari T.;Venketasubramanian N.;Violante F. S.;Waller S. G.;Uneke C. J.;Wang Y.;Weichenthal S.;Woolf A. D.;Xavier D.;Xu G.;Yakob B.;Yip P.;Kesavachandran C. N.;Montico M.;Ronfani L.;Yu C.;Zaidi Z.;Yonemoto N.;Younis M. Z.;Wubshet M.;Zuhlke L. J.;Zaki M. E.;Zhu J.
2016-01-01
Abstract
Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/363442
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
Citazioni
1151
3675
2902
social impact
Conferma cancellazione
Sei sicuro che questo prodotto debba essere cancellato?
simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
