REFERENCES
01. The World Bank. World Bank. 2022. World development report 2022: FINANCE for an equitable recovery. Available from: https://www.worldbank.org/en/publication/wdr2022.
02. Morse SS, Mazet JA, Woolhouse M, Parrish CR, Carroll D, Karesh WB, et al. Prediction and prevention of the next pandemic zoonosis. Lancet. 2012; 380(9857): 1956-65.
03. Christaki E. New technologies in predicting, preventing, and controlling emerging infectious diseases. Virulence. 2015; 6(6): 558-65.
04. Keusch GT, Amuasi JH, Anderson DE, Daszak P, Eckerle I, Field H, et al. Pandemic origins and a one health approach to preparedness and prevention: solutions based on SARS-CoV-2 and other RNA viruses. Proc Natl Acad Sci. 2022; 119(42): e2202871119.
05. Dye C. The great health dilemma: is prevention better than cure? Oxford University Press; 2021. Available from: https://ora.ox.ac. uk/objects/uuid:11cc474b-68aa-4ad3-a608-8edd4f32ee96.
06. PREDICT Consortium. Reducing pandemic risk, promoting global health. One Health Institute, University of California, Davis. 2014; 359 pp.
07. Global Virome Project. Preparing for the next pandemic. 2016 [cited 2023 Feb 25]. How the global virome project began: the bellagio initiative. Available from: https://www.globalviromeproject. org/our-history.
08. Carroll D, Daszak P, Wolfe ND, Gao GF, Morel CM, Morzaria S, et al. The Global Virome Project. Science. 2018; 359(6378): 872-4.
09. Carroll D, Watson B, Togami E, Daszak P, Mazet JA, Chrisman CJ, et al. Building a global atlas of zoonotic viruses. Bull World Health Organ. 2018; 96(4): 292-4.
10. Holmes EC, Rambaut A, Andersen KG. Pandemics: spend on surveillance, not prediction. Nature. 2018; 558(7709): 180.
11. Radicchi F, Fortunato S, Vespignani A. Citation networks. In: Scharnhorst A, Börner K, van den Besselaar P, editors. Models of science dynamics: encounters between complexity theory and information sciences. Berlin, Heidelberg: Springer; 2012. p. 233-57. (Understanding Complex Systems). Available from: https://doi. org/10.1007/978-3-642-23068-4_7.
12. West DF, Vilhena DA. A network approach to scholarly evaluation. In: Beyond bibliometrics: harnessing multidimensional indicators of scholarly impact. The MIT Press; 2014. Available from: https://doi.org/10.7551/mitpress/9445.003.0012.
13. Morel CM, Serruya SJ, Penna GO, Guimarães R. Co-authorship network analysis: a powerful tool for strategic planning of research, development and capacity building programs on neglected diseases. PLoS Negl Trop Dis. 2009; 3(8): e501. doi: 10.1371/journal. pntd.0000501.
14. Vasconcellos AG, Morel CM. Enabling policy planning and innovation management through patent information and co-authorship network analyses: a study of tuberculosis in Brazil. PLoS One. 2012; 7(10): e45569.
15. Albuquerque PC, Zicker F, Fonseca BP. Advancing drug repurposing research: trends, collaborative networks, innovation and knowledge leaders. Drug Discov Today. 2022; 27(12): 103396.
16. Fonseca BP, Albuquerque PC, Saldanha RF, Zicker F. Geographic accessibility to cancer treatment in Brazil: a network analysis. Lancet Reg Health Am. 2022; 7: 100153.
17. Gorbalenya AE, Baker SC, Baric RS, de Groot RJ, Drosten C, Gulyaeva AA, et al. The species severe acute respiratory syndromerelated coronavirus: classifying 2019-nCoV and naming it SARSCoV- 2. Nat Microbiol. 2020; 5(4): 536-44.
18. Lipkin WI. The changing face of pathogen discovery and surveillance. Nat Rev Microbiol. 2013; 11(2): 133-41.
19. NSF - National Science Foundation. Predictive intelligence for pandemic prevention phase I: development grants (PIPP Phase I). 2021. Available from: https://beta.nsf.gov/funding/opportunities/ predictive-intelligence-pandemic-prevention-phase.
20. Fulci V, Carissimi C, Laudadio I. COVID-19 and preparing for future ecological crises: hopes from metagenomics in facing current and future viral pandemic challenges. OMICS J Integr Biol. 2021; 25(6): 336-41.
21. Cutler DM, Summers LH. The COVID-19 pandemic and the $16 trillion virus. JAMA. 2020; 324(15): 1495-6.
22. Kaufer AM, Theis T, Lau KA, Gray JL, Rawlinson WD. Laboratory biosafety measures involving SARS-CoV-2 and the classification as a risk group 3 biological agent. Pathology (Phila). 2020; 52(7): 790-5.
23. Ellwanger JH, Chies JAB. Keeping track of hidden dangers - The short history of the Sabiá virus. Rev Soc Bras Med Trop. 2017; 50: 03-8.
24. Nastri AC, Duarte-Neto AN, Casadio LVB, Souza WM, Claro IM, Manuli ER, et al. Understanding Sabiá virus infections (Brazilian mammarenavirus). Travel Med Infect Dis. 2022; 48: 102351.
25. Lentzos F, Koblentz GD, Ameneiro M, Earnhardt B, Houser R, Rodgers J, et al. Global bioLabs report 2023. Londres: The Bulletin of the Atomic Scientists, George Mason University School of Policy and Government,King’s College London; 2023. p. 30. Available from: https://www.globalbiolabs.org/s/KCL0680_Bio- Labs-Report_Digital.pdf.
26. Souza TML, Morel CM. The COVID-19 pandemics and the relevance of biosafety facilities for metagenomics surveillance, structured disease prevention and control. Biosaf Health. 2021; 3(1): 1-3.
27. Whitlock WL. Detection, prediction, and surveillance. In: DC Keynes, JL Burstein, RB Schwartz, RE Swienton, editors. Medical response to terrorism preparedness and clinical practice. Philadelphia: Lippincott Williams & Wilkins; 2005. p. XIII + 449.
28. Meselson M, Guillemin J, Hugh-Jones M, Langmuir A, Popova I, Shelokov A, et al. The sverdlovsk anthrax outbreak of 1979. Science. 1994; 266(5188): 1202-8.
29. Carbone AJ. Anthrax. In: DC Keyes, JL Burstein, RB Schwartz, RE Swienton, editors. Medical response to terrorism preparedness and clinical practice. Philadelphia: Lippincott Williams & Wilkins; 2005. p. 56-69.
30. Harvey E, Holmes EC. Diversity and evolution of the animal virome. Nat Rev Microbiol. 2022; 20(6): 321-34.
31. Preston E. School of veterinary medicine. 2019. What We’ve found. Available from: https://ohi.sf.ucdavis.edu/what-weve-found.
32. US Embassy Beijing. China’s interest in the global virome project presents an opportunity for global health cooperation. 2017. Available from: https://www.dropbox.com/s/e568bznckc4uoji/ AmEmbassyBeijingUS2017GVP.pdf?dl=0.
33. United States Senate. An analysis of the origins of the COVID-19 pandemic: interim report. 2022. p. 1-35. Available from: https:// www.help.senate.gov/imo/media/doc/report_an_analysis_of_ the_origins_of_covid-19_102722.pdf.
34. Possas C, Lourenço-de-Oliveira R, Tauil PL, Pinheiro FP, Pissinatti A, Cunha RV, et al. Yellow fever outbreak in Brazil: the puzzle of rapid viral spread and challenges for immunisation. Mem Inst Oswaldo Cruz. 2018; 113(10): e180278.
35. Lacerda AB, del Castillo Saad L, Ikefuti PV, Pinter A, Chiaravalloti- Neto F. Diffusion of sylvatic yellow fever in the state of São Paulo, Brazil. Sci Rep. 2021; 11(1): 16277.
36. Simmonds P, Adriaenssens EM, Zerbini FM, Abrescia NGA, Aiewsakun P, Alfenas-Zerbini P, et al. Four principles to establish a universal virus taxonomy. PLoS Biol. 2023; 21(2): e3001922.
37. Ellwanger JH, Kaminski VL, Chies JAB. Emerging infectious disease prevention: Where should we invest our resources and efforts? J Infect Public Health. 2019; 12(3): 313-6.