|
Agence régionale de Santé de Guadeloupe (Regional Health Agency of Guadeloupe). 2020. Point de situation hebdomadaire guadeloupe (guadeloupe weekly situation update). Technical report, October 2020. https://www.guadeloupe.ars.sante.fr/coronavirus-informations-et-recommandations-0. |
|
Agence régionale de Santé de Guadeloupe (Regional Health Agency of Guadeloupe). 2021. Point de situation hebdomadaire guadeloupe (guadeloupe weekly situation update). Technical report, August 2021. |
|
Al-qaness , M. A. A., Ewees , A. A., Fan , H., Abualigah , L. & Elaziz , M. A. 2020. Marine predators algorithm for forecasting confirmed cases of Covid-19 in Italy, USA, Iran and Korea. International Journal of Environmental Research and Public Health 17 (10). |
|
Ali , M., Shah , S. T. H., Lmran , M. & Khan , A. 2020. The role of asymptomatic class, quarantine and isolation in the transmission of Covid-19, journal of biological dynamics. Journal of Biological Dynamics. |
|
Amor , M. 2020. Covid-19: a new quantified approach is a game-changer (Covid-19 : une nouvelle approche chiffrée change la donne). Frances Antilles News Papers, April 2020. https://www.guadeloupe.franceantilles.fr/actualite/sante/coronavirus/covid-19-une-nouvelle-approche-chiffree-change-la-donne-568553.php. |
|
Angulo , F., Finelli , L. & Swerdlow , D. L. 2021. Estimation of us sars-cov-2 infections, symptomatic infections, hospitalizations, and deaths using seroprevalence surveys. JAMA Network Open 4 (1), e2033706–e2033706. |
|
Badu , K., Oyebola , K., Zahouli , J. Z., Fagbamigbe , A. F., de Souza , D. K., Dukhi , N., Amankwaa , E. F., Tolba , M. F., Sylverken , A. A., Mosi , L. et al., 2021. Sars-cov-2 viral shedding and transmission dynamics: implications of who covid-19 discharge guidelines. Frontiers in Medicine, 843. |
|
Banerjee , A., Pasea , L., Harris , S., Gonzalez-Izquierdo , A., Torralbo , A., Shallcross , L., Noursadeghi , M., Pillay , D., Sebire , N., Holmes , C., Pagel , C., Wong , W. K., Langenberg , C., Williams , B., Denaxas , S. & Hemingway , H. 2020. Estimating excess 1-year mortality associated with the covid-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet 395. |
|
Bayette , C. & Monticelli , M. 2020. Modélisation d’une épidémie, partie 1. Image des Mathématiques. https://www.washingtonpost.com/graphics/2020/world/corona-simulator/. |
|
Bloch , I. & Hunter , A. (eds). 2001. Fusion: general concepts and characteristics. International Journal of Intelligent Systems 16, 1107–1134. |
|
Bouchnita , A. & Jebrane , A. 2020. A hybrid multi-scale model of covid-19 transmission dynamics to assess the potential of non-pharmaceutical interventions. Chaos, Solitons and Fractals. |
|
Cai , Q., Chen , F., Wang , T., Luo , F., Liu , X., Wu , Q., He , Q., Wang , Z., Liu , Y., Liu , L., Chen , J. & Xu , L. 2020. Obesity and Covid-19 severity in a designated hospital in Shenzhen, China. Diabetes Care 43, 1392–1398. |
|
Carbo , J., Sanchez-Pi , N. & Molina , J. M. 2018. Agent-based simulation with netlogo to evaluate ambient intelligence scenarios. Journal of Simulation 12, 42–52. |
|
Carrere , P. 2010. Arterial hypertension, obesity, precariousness in guadeloupe, the CONSANT survey (HTA, obésité, précarité en Guadeloupe, l’ enquête consant). Medical thesis, http://www.hta-gwad.com/admin/publis/these_carrere_consant_ultime.pdf. |
|
Caussy , C., Pattou , F., Wallet , F., Simon , C., Chalopin , S., Telliam , C., Mathieu , D., Subtil , F., Frobert , E., Alligier , M., Delaunay , D., Vanhems , P., Laville , M., Jourdain , M. & Disse , E. 2020. Prevalence of obesity among adult inpatients with covid-19 in france. The Lancet Diabetes & Endocrinology 8, 562–564. |
|
Chimmula , V. K. R. & Zhang , L. 2020. Time series forecasting of covid-19 transmission in canada using lstm network. Chaos, Solitons and Fractals, 135. |
|
Chinese CDC. 2020. The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team. The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (covid-19) – China, 2020. Technical report, China CDC Weekly. |
|
Cuevas , E. 2020. An agent-based model to evaluate the covid-19 transmission risks in facilities. Computers in Biology and Medicine 121. |
|
Currie , C., Fowler , J. W., Kotiadis , K., Monks , T., Onggo , D. A. R. B. S. & Tako, A. A. 2020. How simulation modelling can help reduce the impact of covid-19. Journal of Simulation 14 (2), 83–97. |
|
Das , D. K., Khatua , A., Kar , T. K. & Jana , S. 2021. The effectiveness of contact tracing in mitigating covid-19 outbreak: a model-based analysis in the context of india. Applied Mathematics and Computation 404, 126207. |
|
Davies , N., Abbott , S., Barnard , R., Jarvis , C., Kucharski , A., Munday , J., Pearson , C., Russell , T., Tully , D., Washburne , A. et al., 2021. Estimated transmissibility and impact of sars-cov-2 lineage b. 1.1. 7 in England. Science 372 (6538). |
|
Dong , E., Du , H. & Gardner , L. 2020. An interactive web-based dashboard to track Covid-19 in real time. The Lancet Infectious Diseases 20 (5), 533–534. |
|
Dubois , D. & Prade , H. 2004. On the use of aggregation operations in information fusion process. Fuzzy Sets and Systems 142, 143–161. |
|
Duong , D. 2021. Alpha, beta, delta, gamma: what’s important to know about sars-cov-2 variants of concern? CMAJ 193 (27). doi: 10.1503/cmaj.1095949. |
|
Escabí , M. 2012. Biosignal Processing. In Introduction to Biomedical Engineering, 3rd edition, Biomedical Engineering 11. |
|
Flaxman , S., Mishra , S., Gandy , A., Unwin , H., Coupland , H., Mellan , T., Zhu , H., Berah , T., Eaton , J., Guzman , P. P., Schmit , N., Cilloni , L., Ainslie , K., Baguelin , M., Blake , I., Boonyasiri , A., Boyd , O., Cattarino , L., Ciavarella , C., Cooper , L., Perez , Z. C., Cuomo-Dannenburg , G., Dighe , A., Djaafara , A., Dorigatti , I., Elsland , S. V., Fitzjohn , R. R., Fu , H., Gaythorpe , K., Geidelberg , L., Grassly , N., Green , W., Hallett , T., Hamlet , A., Hinsley , W., Jeffrey , B., Jorgensen , D., Knock , E., Laydon , D., Gilani , G. N., Nouvellet , P., Parag , K., Siveroni , I., Thompson , H., Verity , R., Volz , E., Walters , C., Wang , H., Wang , Y., Watson , O., Winskill , P., Xi , X., Whittaker , C., Walker , P., Ghani , A., Donnelly , C., Riley , S., Okell , L., Vollmer , M., Ferguson , N. & Bhatt , S. 2020. Estimating the Number of Infections and the Impact of Non-Pharmaceutical Interventions on Covid-19 in 11 European Countries. Technical report, Imperial College London. https://doi.org/10.25561/77731. |
|
Fong , S. J., Li , G., Crespo , N. D. R. & Herrera-Viedma , E. 2020. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction. Applied Soft Computing Journal 93. |
|
Food and Agriculture Organization of the United Nations Regional Office for Latin America and the Caribbean. 2019. United Nations Calls for Urgent Action to Curb the Rise in Hunger and Obesity in Latin America and the Caribbean. Technical report, UN. http://www.fao.org/americas/noticias/ver/en/c/1250656/. |
|
Gao , F., Zheng , K., Wang , X., Sun , Q.-F., Pan , K.-H., Wang , T.-Y., Chen , Y.-P., Targher , G., Byrne , C. D., George , J. & Zheng , M.-H. 2020. Obesity is a risk factor for greater Covid-19 severity. Diabetes Care. |
|
Giordano , G., Blanchini , F., Bruno , R., Colaneri , P., Filippo , A. D., Matteo , A. D. & Colaneri , M. 2020. Modelling the Covid-19 epidemic and implementation of population-wide interventions in italy. Nature Medicine 26, 855–860. |
|
Haut Conseil de la santé publique (France). 2020. Opinion on the prevention and management of patients at risk for serious forms of Covid-19 as well as the prioritization of diagnostic tests (avis relatif à la prévention et à la prise en charge des patients à risque de formes graves de Covid-19 ainsi qu’à la priorisation des tests diagnostiques). Technical report. |
|
I. N. S. E. E. National Institute of Statistics & Economic Studies of France. 2015. Complete File of the Department of Guadeloupe (dossier complet du département de la guadeloupe). Technical report, INSEE. https://www.insee.fr/fr/statistiques/2011101?geo=DEP-971. |
|
Ivorra , B., Ferrández , M., Vela-Pérez , M. & Ramos , A. 2020. Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China. Communications in Nonlinear Science and Numerical Simulation, 88. |
|
Jagodnik , K. M., Ray , F., Giorgi , F. M. & Lachmann , A. 2020. Correcting under-reported covid-19 case numbers: estimating the true scale of the pandemic. medRxiv preprint. |
|
Jensen , N., Kelly , A. & Avendano , M. 2021. The Covid-19 pandemic underscores the need for an equity-focused global health agenda. Humanities and Social Sciences Communications 8 (1), 1–6. |
|
Kass , D. A., Duggal , P. & Cingolani , O. 2020. Obesity could shift severe Covid-19 disease to younger ages. The Lancet 395, 1544. |
|
Korber , B., Fischer , W., Gnanakaran , S., Yoon , H., Theiler , J., Abfalterer , W., Hengartner , N., Giorgi , E., Bhattacharya , T., Foley , B., et al., 2020. Tracking changes in sars-cov-2 spike: evidence that d614g increases infectivity of the Covid-19 virus. Cell 182 (4), 812–827. |
|
Lighter , J., Phillips , M., Hochman , S., Sterling , S., Johnson , D., Francois , F. & Stachel , A. 2020. Obesity in patients younger than 60 years is a risk factor for Covid-19 hospital admission. Oxford University Press PHEC. |
|
Ma , X. & Vervoort , D. 2020. Critical care capacity during the covid-19 pandemic: global availability of intensive care beds. Journal of Critical Care 58, 96–97. |
|
Mahase , E. 2020. Covid-19: why are age and obesity risk factors for serious disease? BMJ 371. https://www.bmj.com/content/371/bmj.m4130. |
|
Mahmood , I., Arabnejad , H., Suleimenova , D., Sassoon , I., Marshan , A., Serrano-Rico , A., Louvieris , P., Anagnostou , A., Taylor , S., Bell , D. & Groen , D. 2020. Facs: a geospatial agent-based simulator for analysing Covid-19 spread and public health measures on local regions. Journal of Simulation. |
|
Matsumoto , M. & Nishimura , T. 1998. Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Transactions on Modeling and Computer Simulation. |
|
McLennan , A. K. & Ulijaszek , S. J. 2015. Obesity emergence in the Pacific islands: why understanding colonial history and social change is important. Public Health Nutrition. |
|
Miyahira , S. A. & Araujo , E. 2008. Fuzzy obesity index for obesity treatment and surgical indication. In 2008 IEEE International Conference on Fuzzy Systems. |
|
Miyahira , S. A., de Azevedo , J. L. M. C. & Araujo , E. 2011. Fuzzy obesity index (MAFOI) for obesity evaluation and bariatric surgery indication. Journal of Translational Medicine, 9. |
|
Muscogiuri , G., Pugliese , G., Barrea , L., Savastano , S. & Colao , A. 2020. Obesity: the “achilles heel” for covid-19? Metabolism Clinical and Experimental 108. |
|
Noll , N. B., Aksamentov , I., Druelle , V., Badenhorst , A., Ronzani , B., Jefferies , G., Albert , J. & Neher , R. A. 2020a. Covid-19 scenarios: an interactive tool to explore the spread and associated morbidity and mortality of sars-cov-2. medRxiv. |
|
Noll , N. B., Aksamentov , I., Druelle , V., Badenhorst , A., Ronzani , B., Jefferies , G., Albert , J. & Neher , R. A. 2020b. Covid-19 Scenarios. Technical report. https://covid19-scenarios.org/. |
|
Nouvellet , P., Bhatia , S., Cori , A., Ainslie , K. E. C., Baguelin , M., Bhatt , S., Boonyasiri , A., Brazeau , N. F., Cattarino , L., Cooper , L. V., Coupland , H., Cucunuba , Z. M., Cuomo-Dannenburg , G., Dighe , A., Djaafara , B. A., Dorigatti , I., Eales , O. D., van Elsland , S. L., Nascimento , F. F., FitzJohn , R. G., Gaythorpe , K. A. M., Geidelberg , L., Green , W. D., Hamlet , A., Hauck , K., Hinsley , W., Imai , N., Jeffrey , B., Knock , E., Laydon , D. J., Lees , J. A., Mangal , T., Mellan , T. A., Nedjati-Gilani , G., Parag , K. V., Pons-Salort , M., Ragonnet-Cronin , M., Riley , S., Unwin , H. J. T., Verity , R., Vollmer , M. A. C., Volz , E., Walker , P. G. T., Walters , C. E., Wang , H., Watson , O. J., Whittaker , C., Whittles , L. K., Xi , X., Ferguson , N. M. & Donnelly , C. A. 2020. Reduction in Mobility and Covid-19 Transmission. Technical report, Imperial College London. https://doi.org/10.25561/79643. |
|
Observatoire des fragilités (Fragility Observatory). 2020. Carte des fragilités (fragility map). http://www.observatoiredesfragilites.fr/. |
|
Observatoire National des fragilités (France) National Observatory of Fragility of France. 2020. Guadeloupe regional fragility observatory (observatoire régional des fragilités de guadeloupe). Technical report, INSEE. https://www.observatoires-fragilites-grand-sud.fr. |
|
O’Driscoll , M., Santos , G. R. D., Wang , L., Cummings , D. A., Azman , A. S., Paireau , J., Fontanet , A., Cauchemez , S. & Salje , H. 2021. Age-specific mortality and immunity patterns of sars-cov-2. Nature 590 (7844), 140–145. |
|
Pearson , C., Russell , T., Davies , N., Kucharski , A., C. C.-. Working Group, Edmunds, W., Eggo , R., et al., 2021. Estimates of severity and transmissibility of novel south africa sars-cov-2 variant 501y. V2. Retrieved from: pdf (cmmid. github. io). |
|
Petrilli , C., Jones , S., Yang , J., Rajagopalan , H., O’Donnell , L., Chernyak , Y., Tobin , K., Cerfolio , R. J., Francois , F. & Horwitz , L. I. 2020. Factors associated with hospitalisation and critical illness among 5279 patients with coronavirus disease 2019 in new york city prospective cohort study. BMJ 369. |
|
Pettit , N. N., MacKenzie , E. L., Ridgway , J. P., Pursell , K., Ash , D., Patel , B. & Pho , M. T. 2020. Obesity is associated with increased risk for mortality among hospitalized patients with Covid-19. Obesity 28, 1806–1810. |
|
Radio Caraïbes Internationale. 2021. Les gestes barrières ont permis d’éviter une catastrophe sanitaire selon une étude (barrier gestures helped prevent a health disaster according to a study). https://www.rci.fm/guadeloupe/infos/Sante/Les-gestes-barrieres-ont-permis-deviter-une-catastrophe-sanitaire-selon-une-etude. |
|
Rahmandad , H., Lim , T. & Sterman , J. 2021. Behavioral dynamics of covid-19: estimating underreporting, multiple waves, and adherence fatigue across 92 nations. System Dynamics Review 37 (1), 5–31. |
|
Rao , S. & Singh , M. 2021. The newly detected b. 1.1. 529 (omicron) variant of sars-cov-2 with multiple mutations: implications for transmission, diagnostics, therapeutics, and immune evasion. DHR Proceedings 1 (S5), 7–10. |
|
Régis , S., Manicom , O. & Doncescu , A. (2020a). Use of fuzzy sets, aggregation operators and multi agent systems to simulate COVID-19 transmission in a context of absence of barrier gestures and social distancing: application to an island region. In IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16–19, 2020, Park , T., Cho , Y., Hu , X., Yoo , I., Woo , H. G., Wang , J., Facelli , J. C., Nam , S. & Kang , M. (eds), 2298–2305. IEEE. |
|
Régis , S., Manicom , O. & Doncescu , A. (2020b). Softcomputing tools for simulating Covid-19 transmission without barrier gestures. The case of guadeloupe. In IEEE/IIAI International Congress on Applied Information Technology, AIT 2020, Virtual Event, December 10–20, 2020. |
|
Roda , W. C., Varughese , M. B., Han , D. & Li , M. Y. 2020. Why is it difficult to accurately predict the Covid-19 epidemic? Infectious Disease Modelling 5, 271–281. |
|
Roques , L., Klein , E. K., Papax , J., Sara , A. & Soubeyrand , S. 2020. Using early data to estimate the actual infection fatality ratio from Covid-19 in France. Biology, 9. |
|
Roussel , I. 2021. Covid-19 in France: the revenge of the countryside. In Coronavirus (COVID-19) Outbreaks, Environment and Human Behaviour, 195–219. |
|
Roux , J., Massonnaud , C. & Crépey , P. 2020. Covid-19: one-month impact of the French lockdown on the epidemic burden. medRxiv, preprint. https://doi.org/10.1101/2020.04.22.20075705. |
|
Rustam , F., Reshi , A. A., Mehmood , A., Ullah , S., On , B., Aslam , W. & Choi , G. S. 2020. Covid-19 future forecasting using supervised machine learning models. IEEE Access 8, 101489–101499. |
|
Salje , H., Kiem , C. T., Lefrancq , C., Courtejoie , N., Bosetti , P., Paireau , J., Andronico , A., Hozé , N., Richet , J., Dubost , C.-L., Strat , Y. L., Lessler , J., Levy-Bruhl , D., Fontanet , A., Opatowski , L., Boelle , P.-Y. & Cauchemez , S. 2020. Estimating the burden of sars-cov-2 in France. Science. |
|
Séné , L. & Pétrine , P. 2020. Coronavirus: much larger real numbers here (coronavirus: Des chiffres réels beaucoup plus importants chez nous). Guadeloupe 1ière TV. https://la1ere.francetvinfo.fr/guadeloupe/coronavirus-des-chiffres-reels-beaucoup-plus-importants-chez-nous-821842.html. |
|
Shamasunder , S., Holmes , S. M., Goronga , T., Carrasco , H., Katz , E., Frankfurter , R. & Keshavjee , S. 2020. Covid-19 reveals weak health systems by design: why we must re-make global health in this historic moment. Global Public Health 15 (7), 1083–1089. |
|
Shen , K., Loomer , L., Abrams , H., Grabowski , D. C. & Gandhi , A. 2021. Estimates of COVID-19 cases and deaths among nursing home residents not reported in federal data. JAMA Network Open 4 (9). |
|
Shuja , J., Alanazi , E., Alasmary , W. & Alashaikh , A. 2020. Covid-19 open source data sets: a comprehensive survey. Applied Intelligence. |
|
Silva , P., Batista , P., Lima , H., Alves , M., Guimaraes , F. & Silva , R. 2020. Covid-abs: an agent-based model of covid-19 epidemic to simulate health and economic effects of social distancing interventions. Chaos, Solitons and Fractals, 139. |
|
Smith , M. & Broniatowski , D. 2016. Modeling influenza by modulating flu awareness. In Social, Cultural, and Behavioral Modeling. SBP-BRiMS, Xu , K., Reitter , D., Lee , D. & Osgood , N. (eds), Lecture Notes in Computer Science 9708. |
|
Steven , H. 2020. Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve”. The Washinton Post. https://www.washingtonpost.com/graphics/2020/world/corona-simulator/. |
|
Tatapudi , H., Das , R. & Das , T. 2020. Impact assessment of full and partial stay-at-home orders, face mask usage, and contact tracing: an agent-based simulation study of Covid-19 for an urban region. Global Epidemiology, 2. |
|
Verity , R., Okell , L. C., Dorigatti , I., Winskill , P., Whittaker , C., Imai , N., Cuomo-Dannenburg , G., Thompson , H., Walker , P. G. T., Fu , H., Dighe , A., Griffin , J. T., Baguelin , M., Bhatia , S., Boonyasiri , A., Cori , A., Cucunubá , Z., FitzJohn , R., Gaythorpe , K., Green , W., Hamlet , A., Hinsley , W., Laydon , D., Nedjati-Gilani , G., Riley , S., van Elsland , S., Volz , E., Wang , H., Wang , Y., Xi , X., Donnelly , C. A., Ghani , A. C. & Ferguson , N. M. 2020. Estimates of the severity of coronavirus disease 2019: a model-based analysis. The Lancet Infectious Diseases 20. |
|
Volz , E., Mishra , S., Chand , M., Barrett , J., Johnson , R., Geidelberg , L., Hinsley , W., Laydon , D., Dabrera , G., O’Toole , Á., et al., 2021. Assessing transmissibility of sars-cov-2 lineage b. 1.1. 7 in england. Nature, 1–17. |
|
Vyklyuk , Y., Manylich , M., Skoda , M., Radovanovic , M. M. & Petrovic , M. D. 2021. Modeling and analysis of different scenarios for the spread of Covid-19 by using the modified multi-agent systems - evidence from the selected countries. Results in Physics, 20. |
|
Wang , Z., Zhao , H., Lai , Z. & Qin , X. 2016. Improved sir epidem model of social network marketing effectiveness and experimental simulation. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 36, 2024–2034. |
|
Wilensky , U. 1999. Netlogo. Technical report, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. http://ccl.northwestern.edu/netlogo/. |
|
Williamson , E., Walker , A. J., Bhaskaran , K., Bacon , S., Bates , C., Morton , C. E., Curtis , H. J., Mehrkar , A., Evans , D., Inglesby , P., Cockburn , J., McDonald , H. I., MacKenna , B., Tomlinson , L., Douglas , I. J., Rentsch , C. T., Mathur , R., Wong , A., Grieve , R., Harrison , D., Forbes , H., Schultze , A., Croker , R., Parry , J., Hester , F., Harper , S., Perera , R., Evans , S., Smeeth , L. & Goldacre , B. 2020. Opensafely: factors associated with covid-19-related hospital death in the linked electronic health records of 17 million adult nhs patients. medRxiv preprint. https://doi.org/10.1101/2020.05.06.20092999. |
|
Wu , J., Leung , K., Bushman , M., Kishore , N., Niehus , R., de Salazar , P. M., Cowling , B. J., Lipsitch , M. & Leung , G. M. 2020. Estimating clinical severity of covid-19 from the transmission dynamics in Wuhan, China. Nature Medicine 26, 506–510. |
|
Wu , Z. & McGoogan , J. M. 2020. Characteristics of and important lessons from the coronavirus disease 2019 (Covid-19) outbreak in China. JAMA. |
|
Yager , R. 1988. On ordered weighted averaging operators in multi-criteria decision making. IEEE Trans. Systems, Man, and Cybernetics 28, 183–190. |
|
Yager , R. & Rybalov , A. 1998. Full reinforcement operators in aggregation techniques. IEEE Transactions on Systems, Man, Cybernetics-Part B : Cybernetics. |
|
Yang , C. & Wilensky , U. 2011a. Netlogo Epidem Travel and Control Model. Technical report, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. http://ccl.northwestern.edu/netlogo/models/epiDEMTravelandControl. |
|
Yang , C. & Wilensky , U. 2011b. Netlogo Epidem Basic. Technical report, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. https://ccl.northwestern.edu/netlogo/models/epiDEMBasic. |
|
Zadeh , L. 2011. Fuzzy Set Theory and Probability Theory: What is the Relationship?. Springer Berlin Heidelberg, 563–566. ISBN 978-3-642-04898-2. doi: https://doi.org/10.1007/978-3-642-04898-2_614. |
|
Zhou , F., Yu , T., Du , R., Fan , G., Liu , Y., Liu , Z., Xiang , J., Wang , Y., Song , B., Gu , X., Guan , L., Wei , Y., Li , H., Wu , X., Xu , J., Tu , S., Zhang , Y., Chen , H. & Cao , B. 2020. Clinical course and risk factors for mortality of adult inpatients with Covid-19 in Wuhan, China: a retrospective cohort study. The Lancet 395, 1054–1062. |