Skip to main content

The urgent need for integrated science to fight COVID-19 pandemic and beyond


The COVID-19 pandemic has become the leading societal concern. The pandemic has shown that the public health concern is not only a medical problem, but also affects society as a whole; so, it has also become the leading scientific concern. We discuss in this treatise the importance of bringing the world’s scientists together to find effective solutions for controlling the pandemic. By applying novel research frameworks, interdisciplinary collaboration promises to manage the pandemic’s consequences and prevent recurrences of similar pandemics.


Coronavirus disease 2019 (COVID-19), the outbreak due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has taken on pandemic proportions in 2020, affecting more than 1.5 million individuals in almost all countries (Date: April 8, 2020) [1]. This alarming number is still expected to be only the “tip of the iceberg”. A global approach is imperative to improve healthcare services worldwide to combat COVID-19. During this period, many scientists from around the world have been conducting projects related to this pandemic [2].

Public health is an appropriate and timely discipline for conducting interdisciplinary studies. Actions to improve public health care require new approaches including the involvement of complementary disciplines. Many disciplines—such as medicine and pharmacy, molecular and cellular biology, microbiology and biochemistry, genetics, immunology, pharmacology, nutrition, psychology, epidemiology, economics, societal needs, communication and political sciences, health and nursing care services, physics and chemistry, geography, and statistics or computational sciences for big data management—encompass research perspectives conducive to the observation, analysis, understanding, and interpretation of the health consequences of COVID-19 [3].

There are several reasons behind the imperative for interdisciplinary research and evidence-based treatment of COVID-19. One reason is the request by public health policy experts for science-based reports on the feasibility and efficiency of measures that could be helpful to decision-makers, while satisfying community needs and aspirations. Collaboration among scientists with an interdisciplinary focus can help achieve such a goal [4, 5].


Coronaviruses (CoVs) are human and vertebrate pathogens [6]. They are able to infect humans, poultry, birds, insects, rodents, cats and several wild animal species, affecting not only the respiratory system, but also gastrointestinal, hepatic, cardiovascular and central nervous systems [7, 8].

The present outbreak of COVID-19, initially observed in the People’s Republic of China’s Hubei Province, has pandemically spread to every country and region of the world [9]. The World Health Organization (WHO) announced a global health emergency on January 30th, 2020, based on reports of exponentially increasing cases of COVID-19 observed in China and subsequently in other locations throughout the world [10]. This global health emergency warning came just 1 month after the first officially reported case from China [11].

Scientists, infectious disease experts and most governments around the world took immediate steps to control the disease and to carry out epidemiologic, virologic, and therapeutic investigations [12].

The importance of interdisciplinary research

The last three decades witnessed a growing trend of collaborations among researchers with diverse backgrounds of training and education across world regions [13, 14]. The literature on the theoretical scope and benefits of such collaboration is extensive [15].

Although it is essential through multidisciplinary research to establish practical methods for large-scale disinfection treatment to inactivate SARS-CoV-2 in different environmental settings in order to reduce the risk of infection, this does not stop the pandemic. Unlike multidisciplinary research, where researchers from disparate fields work either separately or in collaboration, interdisciplinary research refers to teams with varying specialties unifying to achieve an overall objective [13, 16, 17].

In this context, Rosenfield [18] took this topic one step further by introducing a three-tiered structure for conceptualizing the mechanism of collaboration among different disciplines: (i) in multidisciplinarity, researchers work in parallel or sequentially from a disciplinary-specific base to address a common problem; (ii) in Interdisciplinarity, researchers work jointly, but still from a disciplinary-specific base to address the common problem; (iii) finally, in transdisciplinarity, researchers work jointly, using a shared conceptual framework drawing together disciplinary-specific theories, concepts, and approaches to address a common problem [18].

One example of transdisciplinary science relevant to the problem of COVID-19 is the integrative science of microbiology, molecular pathology (including immunology), and epidemiology [19]. This science has synthesized outcomes from analytical methods of microbiology (including virology) at laboratory level, together with statistical analytical frameworks of epidemiology, with data on human populations [19].

However, there are difficulties with sufficient contact or communication within professions. Lack of confidence, lack of expertise, complexities of healthcare, the confusing nature of healthcare environments, and lack of organization and standardization can become major obstacles to successful communication [20, 21].

Now, more than ever, we are in need of widespread scientific collaboration [22, 23]. COVID-19 is a medical problem with immense societal consequences. The world’s scientists need to come together to find the proper solution for controlling this pandemic event, manage its consequences, and prevent future recurrences of similar pandemics. We provide examples below on how this can be achieved.

Mathematics and computer science

Mathematical and epidemiological simulation plays a pivotal role in predicting, anticipating, and controlling present and future epidemics. To better understand and model the dynamics of a specific infection, researchers need to consider the influence of many variables ranging from micro-host–pathogen interactions to host-to-host encounters, and the prevailing cultural, social, economic, and local customs worldwide [24].

In order to have an accurate prediction in a mathematical model, it is imperative to obtain a precise estimation of the involved parameters. Data fitting is the process of adjusting models to data and analyzing the accuracy of the fit. For reliable parameter estimation, it is critical to implement an accurate and transparent protocol for counting the number of infected, deceased, and recovered cases and for unifying different protocols at the international level [25, 26].

Dynamic simulation, game theory, and spatial modeling play an increasing role in understanding the biology of complex systems. These methods can also illustrate the dynamics of the relationship between pathogens and their host [27].

Two mathematical models applicable to a pandemic like COVID-19 are stochastic and SIR (susceptible-infected-recovered). Stochastic modeling entails all mathematical models with the random variable in the function assignment. That is, stochastic modeling uses random assignment for forecasting functions, which is helpful in the early stages of virus propagation [28]. The SIR model has a reasonable predictive power applied to situations where individuals infect each other directly [29]. However, in recent years spatial structures, and in particular network theory (as a model for road networks or flight connections) and metapopulation, have proved relevant in understanding the complexity of virus propagation [30, 31].

Worldwide, public health agencies use these frameworks coupled with information technologies such as bioinformatics, big data analytics, machine learning, artificial learning, sensors, and image recognition to assess and establish strategies for ever-emerging infectious diseases and to respond to outbreaks [27, 32,33,34].

Physics, chemistry and engineering sciences

In epidemics of highly infectious diseases, the entire community needs to participate in containing the spread of the disease. Healthcare workers (HCWs), however, have to be especially careful because they are at significantly higher risk of infection than the general population [35]. Contact precautions by means of personal protective equipment (PPE) are the major strategy to reduce the risk. However, there is uncertainty about which type of PPE protects best, what is the optimal way to don and remove it, and how to ensure that all HCWs use PPE as instructed [36, 37].

Physicists, chemists and engineers play a key role in designing and advancing PPE structure and function to inhibit COVID-19 spread throughout the communities [38]. They help in implementing the manufacturing, production pipelines, logistics, and commercialization of PPE, along with disposable gloves, sanitizing gels, and respirators. In such an emergency context, the contribution of Universities in Engineering and Material Sciences can engage in synergy with companies that produce textiles, anti-wet coatings, ventilators and respirators, and can attempt to reconvert their materials and pipelines to products useful for combatting the pandemic. For example, material science and mechanical engineering can help to perform validation tests of newly produced PPE, and assist in the preparation of documents for approval [39,40,41]. Furthermore, constructive interaction between certification and regulatory entities as well as local, regional, and national governments can minimize the time to regulatory approval and delivery to the market of newly produced PPE. For example, the standard catalog UNI decided to give free access to their publications related to medical device and face mask regulations in a move to support interventions against COVID-19. The national governments allocate funds to companies to help them recover or convert their production to medical devices. Moreover, private and non-profit organizations finance small and medium enterprises (SMEs) and universities to promote the transfer of research results to markets for improving the safety of community health workers (CHWs) and, more in general, for tackling the immediate social, health and education emergencies.

In addition to PPE production, physics-based techniques play a substantial role in structural biology. The majority of biological macromolecular structures are obtained by X-ray crystallography. The development of physical technologies spurred the first forays into rational drug design, in which scientists study the structure and function of molecules in order to determine which drugs might bind to their targets, and in case of viruses like SARS-CoV-2, to prevent them from replicating [42].

Biological sciences

Biological science provide a deeper understanding of complex pathogen-host interactions by using remarkable innovations in molecular biology and computational biology, developed during the first decade of the 21st century [43, 44]. We expect that the modern tools of molecular biology will provide insight beyond merely defining causative agents for newly discovered infectious diseases, but will also address the evolution of the COVID-19 pathogen, the persistence of infectious cycles in nature, the analysis of the causes of the pandemic, and the susceptibility mechanisms of specific host groups. This knowledge will contribute to the creation of DNA and RNA banking to study pathogenic factors encoding genes [45, 46].

The control of COVID-19 largely depends on two factors. The first is to design early diagnostic tools to estimate more accurately the extent of the pandemic and provide effective vaccines. Testing kits are an amalgamation of research based on engineering and biomedical sciences. They are designed to exhibit high accuracy and rapid analysis to minimize the community spread of the disease [47]. As for the second factor, in order to arrive at a proper vaccine, scientists must identify viral epitopes that might be used as therapeutic targets and that not only activate the immune systems but also recognize the virus as a target [48].

This virus also has arisen various hypotheses among scientists who are eager to demonstrate novel disease mechanism. According to one hypothesis proposed by Jean-Laurent Casanova of Rockefeller University, immunosenescence contributes, at least in part, to the severe disease and high mortality of the elderly. However, equally important is to explain the fatal disease occasionally observed in the young population. For example, there may be an underlying inborn error of immunity associated with severe COVID-19 that affects younger individuals.

Medical sciences

Community health workers (CHWs) are expected to be prepared for emerging epidemics, and to promote pandemic preparedness by engaging with community-level educators and mobilizers, contributing to surveillance systems, and filling the gaps in healthcare services [49, 50].

It appears that nutritional and metabolic status play as independent roles in the evolution and clinical complications observed in COVID-19 patients. Scientists are looking for food regimens that can enhance the immune system. They suggest that bioactive compounds derived from functional foods such as Echinacea, Curcumin, or quercetin, due to their antioxidant and anti-inflammatory features, can strengthen the immune system. These compounds are thought to enhance the vaccine and drug effectiveness in affected individuals or even help to prevent infections [51,52,53,54]. Some researchers have demonstrated the antiviral activities of functional compounds such as bioactive peptides, lipids, polysaccharides [55,56,57]; however, the mechanisms that underlie their action are not well understood.

Individuals suffering from diabetes or cardiovascular diseases have more severe complications and higher mortality rate than healthy metabolically controlled counterparts, where the inflammatory condition may be associated with infection triggering factors [7, 58,59,60,61]. Genetic predisposition is also expected in some cases with severe COVID-19 phenotypes [62].

Medical staff members strive to improve the health of these patients in order to achieve better population immunity against infectious diseases epidemics and pandemics like COVID-19. This goal can be achieved by increasing public access to health care services.

Social and economical sciences

The emergence of disease and the spread of epidemics depend on individuals’ behavior, the social structure in which they are embedded, and the political and civic environment that make particular social outcomes more likely for some than for others [63, 64]. When quarantine laws and social encounter restrictions (e.g., social distancing) are put in effect [65, 66], social scientists must be aware of the psychological, mental health, and economic aspects of these decisions. Cognitive science, brain and mind science, coupled with social and behavioral sciences, contribute insights into anxiety and loneliness associated with mental disorders under pandemic measures [67,68,69].

COVID-19 has immense socio-economic implications. With the rapid and comprehensive increase in international travel and trade, pandemic incidents will cause economic shock waves that go far beyond mainstream health sectors and spread beyond the pathogen’s original geographic range [70]. For example, analysts forecast that the pandemics will result in an estimated annual economic decline of 2–3% of global gross domestic product (GDP) in the coming year [71]. Economic scientists can promote the necessity for businesses to become pandemic-resilient by investing in strategic, operational, and financial resilience, and have suggested that these steps are a duty of care to society and economies.

A key component to the eradication of COVID-19 and lessening its impact on global health is inter-governmental cooperation. A coordinated effort is required so that all potential factors are taken into consideration to reduce the spread of the virus and prevent similar pandemics in the future.


During the last few months of the COVID-19 pandemic, while political leaders have locked the borders of their countries, we witnessed scientists tearing down theirs, creating a global collaboration unlike any in history [22]. Never before, have so many experts in so many countries focused simultaneously on a single topic, COVID-19, and with such urgency and resolve. Nearly all other research has ground to a halt.

The role and collaboration of International Organizations related to Health such as WHO, Food and Agriculture Organization (FAO), International Union of Nutritional Science (IUNS), and Non-Governmental Organizations (NGOs) as well as international consortia such as Universal Scientific Education and Research Network (USERN) and national and international academies, have been recognized as crucial for an integrated knowledge of the novel coronavirus and impacting the effective management of COVID-19 around the planet.

Availability of data and materials

Not applicable.


  1. 1.

    Johns Hopkins Coronavirus Resource Center. Coronavirus COVID-19 global cases by the center for systems science and engineering (CSSE) at Johns Hopkins University (JHU). 2020.

  2. 2.

    Remuzzi A, Remuzzi G. COVID-19 and Italy: what next? Lancet. 2020;395(10231):1225–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. 3.

    George ChristakosRicardo A, OleaMarc Serre L, SerreHwa-Lung, YuLin-Lin Wang. Interdisciplinary public health reasoning and epidemic modelling: the case of black death. Berlin: Springer; 2005.

    Google Scholar 

  4. 4.

    Kivits J, Ricci L, Minary L. Interdisciplinary research in public health: the ‘why’ and the ‘how’. J Epidemiol Community Health. 2019;73(12):1061–2.

    PubMed  PubMed Central  Article  Google Scholar 

  5. 5.

    Yu D, Poon SK, Tran V, Lam MK, Hines M, Brunner M, et al. Enabler for Interdisciplinary eHealthcare: a qualitative study. Stud Health Technol Inform. 2017;239:160–6.

    PubMed  Google Scholar 

  6. 6.

    Woo PCY, Lau SKP, Lam CSF, Lau CCY, Tsang AKL, Lau JHN, et al. Discovery of seven novel Mammalian and avian coronaviruses in the genus deltacoronavirus supports bat coronaviruses as the gene source of alphacoronavirus and betacoronavirus and avian coronaviruses as the gene source of gammacoronavirus and deltacoronavirus. J Virol. 2012;86(7):3995–4008.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  7. 7.

    Rodriguez-Morales AJ, Cardona-Ospina JA, Gutierrez-Ocampo E, Villamizar-Pena R, Holguin-Rivera Y, Escalera-Antezana JP, et al. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Arentz M, Yim E, Klaff L, Lokhandwala S, Riedo FX, Chong M, et al. Characteristics and outcomes of 21 critically Ill patients with COVID-19 in Washington state. Jama. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199–207.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Velavan TP, Meyer CG. The COVID-19 epidemic. Trop Med Int Health. 2020;25(3):278–80.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    WHO. WHO director-general’s opening remarks at the media briefing on COVID-19. Geneva: WHO; 2020.

    Google Scholar 

  12. 12.

    Chen Y, Liu Q, Guo D. Emerging coronaviruses: genome structure, replication, and pathogenesis. J Med Virol. 2020;92(4):418–23.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Aagaard-Hansen J, Ouma J. Managing interdisciplinary health research—theoretical and practical aspects. Int J Health Plann Manag. 2002;17:195–212.

    Article  Google Scholar 

  14. 14.

    Porter A, Rafols I. Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics. 2009;81:719–45.

    Article  Google Scholar 

  15. 15.

    Music SI, Schultz MG. Field epidemiology training programs. New Int Health Resour Jama. 1990;263(24):3309–11.

    CAS  Google Scholar 

  16. 16.

    Aagaard-Hansen J, Henry Ouma J. Managing interdisciplinary health research–theoretical and practical aspects. Int J Health Plann Manag. 2002;17(3):195–212.

    Article  Google Scholar 

  17. 17.

    Tejada G, Cracco M, Bouleau CR, Bolay J-C, Hostettler S. Testing analytical frameworks in transdisciplinary research for sustainable development. Sustainability. 2019;11(16):4343.

    Article  Google Scholar 

  18. 18.

    Rosenfield PL. The potential of transdisciplinary research for sustaining and extending linkages between the health and social sciences. Social Sci Med. 1992;35(11):1343–57.

    CAS  Article  Google Scholar 

  19. 19.

    Hamada T, Nowak JA, Milner DA Jr, Song M, Ogino S. Integration of microbiology, molecular pathology, and epidemiology: a new paradigm to explore the pathogenesis of microbiome-driven neoplasms. J Pathol. 2019;247(5):615–28.

    PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Liaw SY, Zhou WT, Lau TC, Siau C, Chan SW. An interprofessional communication training using simulation to enhance safe care for a deteriorating patient. Nurse Educ Today. 2014;34(2):259–64.

    PubMed  Article  Google Scholar 

  21. 21.

    Pfaff KA, Baxter PE, Jack SM, Ploeg J. Exploring new graduate nurse confidence in interprofessional collaboration: a mixed methods study. Int J Nurs Stud. 2014;51(8):1142–52.

    PubMed  Article  Google Scholar 

  22. 22.

    Mohamed K, Rodríguez-Román E, Rahmani F, Zhang H, Ivanovska M, Makka SA, et al. Borderless collaboration is needed for COVID-19; a disease that knows no borders. Infect Control Hosp Epidemiol. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Momtazmanesh S, Ochs HD, Uddin LQ, Perc M, Routes JM, Nuno Vieira D, et al. All together to Fight Novel Coronavirus Disease (COVID-19). Am J Trop Med Hyg. 2020.

  24. 24.

    Soheilypour M, Mofrad MRK. Agent-based modeling in molecular systems biology. BioEssays. 2018;40(7):e1800020.

    PubMed  Article  Google Scholar 

  25. 25.

    roland Oliphant. Counting coronavirus: How are different countries calculating death tolls, and can you trust them? 2020.

  26. 26.

    Rafa de Miguel EM, Lorena Pacho, Silvia Ayuso and Isabel Ferrer,. Tracking the coronavirus: why does each country count deaths differently? 2020.

  27. 27.

    Ewald J, Sieber P, Garde R, Lang SN, Schuster S, Ibrahim B. Trends in mathematical modeling of host–pathogen interactions. Cell Mol Life Sci. 2020;77(3):467–80.

    CAS  PubMed  Article  Google Scholar 

  28. 28.

    Ming R-X, Liu J, Cheung WKW, Wan X. Stochastic modelling of infectious diseases for heterogeneous populations. Infect Dis Poverty. 2016;5(1):107.

    PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Adamu H, Muhammad M, M.Jingi A, Usman M. Mathematical modelling using improved SIR model with more realistic assumptions. International Journal of Engineering and Applied Sciences (IJEAS). 2019;6.

  30. 30.

    Huppert A, Katriel G. Mathematical modelling and prediction in infectious disease epidemiology. Clin Microbiol Infect. 2013;19(11):999–1005.

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Rihan FA, Anwar MN. Qualitative analysis of delayed SIR epidemic model with a saturated incidence rate.

  32. 32.

    Seno H, Dansu E. A model for epidemic dynamics in a community with visitor subpopulation. 2019.

  33. 33.

    Siettos CI, Russo L. Mathematical modeling of infectious disease dynamics. Virulence. 2013;4(4):295–306.

    PubMed  PubMed Central  Article  Google Scholar 

  34. 34.

    Dansu EJ, Seno H. A model for epidemic dynamics in a community with visitor subpopulation. J Theor Biol. 2019;478:115–27.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Rezaei N. COVID-19 affects healthy pediatricians more than pediatric patients. Infect Control Hosp Epidemiol. 2020.

  36. 36.

    Verbeek JH, Ijaz S, Mischke C, Ruotsalainen JH, Makela E, Neuvonen K, et al. Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body fluids in healthcare staff. Cochrane Database Syst Rev. 2016;4:Cd011621.

    PubMed  Google Scholar 

  37. 37.

    Honda H, Iwata K. Personal protective equipment and improving compliance among healthcare workers in high-risk settings. Curr Opin Infect Dis. 2016;29(4):400–6.

    PubMed  Article  Google Scholar 

  38. 38.

    Yang XX, Li CM, Huang CZ. Curcumin modified silver nanoparticles for highly efficient inhibition of respiratory syncytial virus infection. Nanoscale. 2016;8(5):3040–8.

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    UNI store. UNI Standard 2020.

  40. 40.

    UNI store. UNI Standard 2011.

  41. 41.

    UNI store. CEN Standard 2001.

  42. 42.

    Physic world. COVID-19: how physics is helping the fight against the pandemic 2020

  43. 43.

    Aderem A, Adkins JN, Ansong C, Galagan J, Kaiser S, Korth MJ, et al. A systems biology approach to infectious disease research: innovating the pathogen-host research paradigm. mBio. 2011;2(1):e00325.

    PubMed  PubMed Central  Article  Google Scholar 

  44. 44.

    Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, et al. Coronavirus infections and immune responses. J Med Virol. 2020;92(4):424–32.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. 45.

    Speers DJ. Clinical applications of molecular biology for infectious diseases. Clin Biochem Rev. 2006;27(1):39–51.

    PubMed  PubMed Central  Google Scholar 

  46. 46.

    Qu G, Li X, Hu L, Jiang G. An imperative need for research on the role of environmental factors in transmission of novel coronavirus (COVID-19). Environ Sci Technol. 2020:acs.est.0c01102.

  47. 47.

    Pirofski LA. Life as an infectious diseases physician scientist: science is humanity’s lifeline. J Infect Dis. 2017;216(5):611.

    Article  Google Scholar 

  48. 48.

    Ahmed SF, Quadeer AA, McKay MR. Preliminary identification of potential vaccine targets for the COVID-19 coronavirus (SARS-CoV-2) based on SARS-CoV immunological studies. Viruses. 2020;12(3):254.

    CAS  PubMed Central  Article  Google Scholar 

  49. 49.

    Boyce MR, Katz R. Community Health Workers and pandemic preparedness: current and prospective roles. Front Public Health. 2019;7:62.

    PubMed  PubMed Central  Article  Google Scholar 

  50. 50.

    Tanne JH, Hayasaki E, Zastrow M, Pulla P, Smith P, Rada AG. Covid-19: how doctors and healthcare systems are tackling coronavirus worldwide. BMJ. 2020;368:m1090.

    PubMed  Article  Google Scholar 

  51. 51.

    Huang L, Shen M, Wu T, Yu Y, Yu Q, Chen Y, et al. Mesona chinensis Benth polysaccharides protect against oxidative stress and immunosuppression in cyclophosphamide-treated mice via MAPKs signal transduction pathways. Int J Biol Macromol. 2020;152:766–74.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Eladl AH, Arafat N, El-Shafei RA, Farag VM, Saleh RM, Awadin WF. Comparative immune response and pathogenicity of the H9N2 avian influenza virus after administration of immulant((R)), based on Echinacea and Nigella sativa, in stressed chickens. Comp Immunol Microbiol Infect Dis. 2019;65:165–75.

    PubMed  Article  Google Scholar 

  53. 53.

    Xu S-Y, Huang X, Cheong K-L. Recent advances in marine algae polysaccharides: isolation, structure, and activities. Mar Drugs. 2017;15(12):388.

    PubMed Central  Article  CAS  Google Scholar 

  54. 54.

    Hartmann R, Meisel H. Food-derived peptides with biological activity: from research to food applications. Curr Opin Biotechnol. 2007;18(2):163–9.

    CAS  PubMed  Article  Google Scholar 

  55. 55.

    Das UN. Can bioactive lipids inactivate coronavirus (COVID-19)? Arch Med Res. 2020.

  56. 56.

    Kato T, Takami Y, Kumar Deo V, Park EY. Preparation of virus-like particle mimetic nanovesicles displaying the S protein of Middle East respiratory syndrome coronavirus using insect cells. J Biotechnol. 2019;306:177–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  57. 57.

    Kim JW, Ha TK, Cho H, Kim E, Shim SH, Yang JL, et al. Antiviral escin derivatives from the seeds of Aesculus turbinata Blume (Japanese horse chestnut). Bioorg Med Chem Lett. 2017;27(13):3019–25.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  58. 58.

    Li B, Yang J, Zhao F, Zhi L, Wang X, Liu L, et al. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin Res Cardiol. 2020;109(5):531–8.

    CAS  PubMed  Article  Google Scholar 

  59. 59.

    Zheng YY, Ma YT, Zhang JY, Xie X. COVID-19 and the cardiovascular system. Nat Rev Cardiol. 2020;17(5):259–60.

    CAS  PubMed  Article  Google Scholar 

  60. 60.

    Gupta R, Ghosh A, Singh AK, Misra A. Clinical considerations for patients with diabetes in times of COVID-19 epidemic. Diabetes Metabol Synd. 2020;14(3):211–2.

    Article  Google Scholar 

  61. 61.

    Saghazadeh A, Rezaei N. Immune-epidemiological parameters of the novel coronavirus–a perspective. Expert Rev Clin Immunol. 2020:null-null.

  62. 62.

    Yousefzadegan S, Rezaei N. Death due to COVID-19 in three brothers. Am J Trop Med Hyg 2020.

  63. 63.

    Arthur RF, Gurley ES, Salje H, Bloomfield LS, Jones JH. Contact structure, mobility, environmental impact and behaviour: the importance of social forces to infectious disease dynamics and disease ecology. Philos Transact Royal Soc London Ser B Biol Sci. 2017;372:1719.

    Google Scholar 

  64. 64.

    Cauchemez S, Bhattarai A, Marchbanks TL, Fagan RP, Ostroff S, Ferguson NM, et al. Role of social networks in shaping disease transmission during a community outbreak of 2009 H1N1 pandemic influenza. Proc Natl Acad Sci. 2011;108(7):2825–30.

    CAS  PubMed  Article  Google Scholar 

  65. 65.

    Uchenna A, Ossai O. Use of contact isolation to prevent spread: ebola outbreak in a healthworkers base camp, Port Loko District, Sierra Leone, March 2015. Int J Infect Dis. 2016;45:216.

    Google Scholar 

  66. 66.

    Parmet WE, Sinha MS. Covid-19—the law and limits of quarantine. New England J Med. 2020.

  67. 67.

    Hawkley LC, Cacioppo JT. Loneliness matters: a theoretical and empirical review of consequences and mechanisms. Ann Behav Med. 2010;40(2):218–27.

    PubMed  Article  Google Scholar 

  68. 68.

    Hawryluck L, Gold WL, Robinson S, Pogorski S, Galea S, Styra R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg Infect Dis. 2004;10(7):1206–12.

    PubMed  PubMed Central  Article  Google Scholar 

  69. 69.

    Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729.

    PubMed Central  Article  Google Scholar 

  70. 70.

    Smith KM, Machalaba CC, Seifman R, Feferholtz Y, Karesh WB. Infectious disease and economics: the case for considering multi-sectoral impacts. One Health. 2019;7:100080.

    PubMed  PubMed Central  Article  Google Scholar 

  71. 71.

    Oxford economics. Global economic prospects: coronavirus inflicts a short, sharp recession on world economy 2020.

Download references


We would like to thank Prof. Raif Geha, the James L. Gamble Professor of Pediatrics at the Harvard Medical School and Chief of the Division of Immunology, Allergy, and Rheumatology at Boston Children’s Hospital, for his critical comments on this paper.


Not applicable.

Author information




All authors have substantial contributions to the conception of the work. Initial drafting of the work was done by NM and NR; the remaining authors did critical revisions and completed the manuscript. All authors agreed to be accountable for all aspects of the work. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nima Rezaei.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All authors approved the final draft of the manuscript and are aware that this paper is submitting to this journal.

Competing interests

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Moradian, N., Ochs, H.D., Sedikies, C. et al. The urgent need for integrated science to fight COVID-19 pandemic and beyond. J Transl Med 18, 205 (2020).

Download citation


  • Coronavirus
  • COVID-19
  • Complex problems
  • Collaboration
  • Interdisciplinarity
  • Public health