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  1. Motivating a Scientific Modelling Continuum: The case of natural models in the Covid-19 pandemic.Ryan M. Nefdt - forthcoming - Philosophy of Science:1-22.
    The Covid-19 global pandemic had a profound effect on scientific practice. During this time, officials crucially relied on the work done by modellers. This raises novel questions for the philosophy of science. Here, I investigate the possibility of ‘natural models’ in predicting the virus’ trajectory for epidemiological purposes. I argue that to the extent that these can be consideredscientific models, they support the possibility of a continuum from scientific models to natural models differing in artifactual commitment. In making my case, (...)
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  2. Please wear a mask: a systematic case for mask wearing mandates.Roberto Fumagalli - 2024 - Journal of Medical Ethics 50 (7):501-510.
    This paper combines considerations from ethics, medicine and public health policy to articulate and defend a systematic case for mask wearing mandates (MWM). The paper argues for two main claims of general interest in favour of MWM. First, MWM provide a more effective, just and fair way to tackle the ongoing COVID-19 pandemic than policy alternatives such as laissez-faire approaches, mask wearing recommendations and physical distancing measures. And second, the proffered objections against MWM may justify some exemptions for specific categories (...)
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  3. (1 other version)Should infectious disease modelling research be subject to ethics review?Ben Green - 2023 - Philosophy, Ethics and Humanities in Medicine 18 (1):1-7.
    Should research projects involving epidemiological modelling be subject to ethical scrutiny and peer review prior to publication? Mathematical modelling had considerable impacts during the COVID-19 pandemic, leading to social distancing and lockdowns. Imperial College conducted research leading to the website publication of a paper, Report 9, on non-pharmaceutical interventions (NPIs) and COVID-19 mortality demand dated 16th March 2020, arguing for a Government policy of non-pharmaceutical interventions (e.g. lockdowns, social distancing, mask wearing, working from home, furlough, school closures, reduced family interaction (...)
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  4. Prevention of Disease and the Absent Body: A Phenomenological Approach to Periodontitis.Dylan Rakhra & Māra Grīnfelde - 2023 - Journal of Medicine and Philosophy 48 (3):299-311.
    A large part of the contemporary phenomenology of medicine has been devoted to accounts of health and illness, arguing that they contribute to the improvement of health care. Less focus has been paid to the issue of prevention of disease and the associated difficulty of adhering to health-promoting behaviours, which is arguably of equal importance. This article offers a phenomenological account of this disease prevention, focusing on how we—as embodied beings—engage with health-promoting behaviours. It specifically considers how we engage with (...)
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  5. A Wolf in Sheep's Clothing: Idealisations and the aims of polygenic scores.Davide Serpico - 2023 - Studies in History and Philosophy of Science Part A 102 (C):72-83.
    Research in pharmacogenomics and precision medicine has recently introduced the concept of Polygenic Scores (PGSs), namely, indexes that aggregate the effects that many genetic variants are predicted to have on individual disease risk. The popularity of PGSs is increasing rapidly, but surprisingly little attention has been paid to the idealisations they make about phenotypic development. Indeed, PGSs rely on quantitative genetics models and methods, which involve considerable theoretical assumptions that have been questioned on various grounds. This comes with epistemological and (...)
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  6. Why It (Also) Matters What Infectious Disease Epidemiologists Call “Disease”.David Stoellger - 2023 - Philosophy of Medicine 4 (1).
    Infectious diseases figure prominently as (counter)examples in debates on how to conceptualize “disease.” But crucial epidemiological distinctions are often not heeded in the debate, and pathological and clinical perspectives focusing on individual patients are favored at the expense of perspectives from epidemiology focusing on populations. In clarifying epidemiological concepts, this paper highlights the distinct contributions infectious disease epidemiology can make to the conception of “disease,” and the fact that this is at least tacitly recognized by medical personnel and philosophers. Crucially, (...)
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  7. Reviewing the Reproduction Number R in Covid-19 Models.Maria Cristina Amoretti & Elisabetta Lalumera - 2022 - Philosophy of Medicine 3 (1).
    Most of the epidemiological models of the Covid-19 pandemic contain the reproduction number as a parameter. In this article we focus on some shortcomings regarding its role in driving health policies and political decisions. First, we summarize what R is and what it is used for. Second, we introduce a three-question matrix for the evaluation of any construct or parameter within a model. We then review the main literature about R to highlight some of its shortcomings and apply to them (...)
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  8. Planetary Health Histories: Toward New Ecologies of Epidemiology?Warwick Anderson & James Dunk - 2022 - Isis 113 (4):767-788.
    This essay charts a conceptual history of “planetary health,” which holds that population health and the continuity of human civilization depend on the integrity—the health—of the Earth’s life-support systems. It seeks to identify settler colonial and imperial genealogies of this distinctly ecological approach to human population health and flourishing, an assemblage of systems theory and planetary thinking as well as developments in environmental sciences and theories of sustainable development. Planetary health may be seen as a “third wave” of disease ecology, (...)
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  9. Reframing the environment in data-intensive health sciences.Stefano Canali & Sabina Leonelli - 2022 - Studies in History and Philosophy of Science Part A 93:203-214.
    In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS (...)
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  10. What Bioethicists Need to Know About the Social Determinants of Health—and Why.Gail E. Henderson - 2022 - Perspectives in Biology and Medicine 65 (4):664-671.
    ABSTRACT:What more can be said about COVID-19 and the social determinants of health? This article describes neglected perspectives that derive from the history of social epidemiology, a field that identifies the social etiology of disease and variations in disease incidence among people differentially located in the social structure. The "discovery" of social determinants of diseases like COVID-19 is nothing new for epidemiology: debate over how to analyze structural determinants versus individual-level risk factors persisted throughout the 19th and 20th centuries. By (...)
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  11. Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience.Lukas Engelmann - 2022 - Big Data and Society 9 (1).
    Epidemiology is a field torn between practices of surveillance and methods of analysis. Since the onset of COVID-19, epidemiological expertise has been mostly identified with the first, as dashboards of case and mortality rates took centre stage. However, since its establishment as an academic field in the early 20th century, epidemiology’s methods have always impacted on how diseases are classified, how knowledge is collected, and what kind of knowledge was considered worth keeping and analysing. Recent advances in digital epidemiology, this (...)
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  12. Covid-19, Public Policy and Public Choice Theory.Panagiotis Karadimas - 2022 - The Independent Review 27 (2):273-302.
    During the Covid-19 pandemic, public policy was not driven by findings from public health research, but by politicians’ desire to pursue their own interests. The media and politicians inflamed mass hysteria and then imposed ill-considered lockdowns to “solve” the problem. Lockdowns not only failed to protect those at risk from the virus, but also caused enormous collateral damage. Public choice theory helps explaining this decision-making. -/- .
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  13. Against COVID‐19 vaccination of healthy children.Steven R. Kraaijeveld, Rachel Gur-Arie & Euzebiusz Jamrozik - 2022 - Bioethics 36 (6):687-698.
  14. Inconvenient Truth and Inductive Risk in Covid-19 Science.Eli I. Lichtenstein - 2022 - Philosophy of Medicine 3 (1):1-25.
    To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists to (...)
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  15. When Do Epidemics End? Scientific Insights from Mathematical Modelling Studies.Natalie M. Linton, Francesca A. Lovell-Read, Emma Southall, Hyojung Lee, Andrei R. Akhmetzhanov, Robin N. Thompson & Hiroshi Nishiura - 2022 - Centaurus 64 (1):31-60.
    Quantitative assessments of when infectious disease outbreaks end are crucial, as resources targeted towards outbreak responses typically remain in place until outbreaks are declared over. Recent improvements and innovations in mathematical approaches for determining when outbreaks end provide public health authorities with more confidence when making end-of-outbreak declarations. Although quantitative analyses of outbreaks have a long history, more complex mathematical and statistical methodologies for analysing outbreak data were developed early in the 20th century and continue to be refined. Historically, such (...)
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  16. THE IMPROVED MATHEMATICAL MODEL FOR CONTINUOUS FORECASTING OF THE EPIDEMIC.V. R. Manuraj - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):55-64.
    COVID-19 began in China in December 2019. As of January 2021, over a hundred million instances had been reported worldwide, leaving a deep socio-economic impact globally. Current investigation studies determined that artificial intelligence (AI) can play a key role in reducing the effect of the virus spread. The prediction of COVID-19 incidence in different countries and territories is important because it serves as a guide for governments, healthcare providers, and the general public in developing management strategies to battle the disease. (...)
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  17. (1 other version)Should health research funding be proportional to the burden of disease?Joseph Millum - 2022 - Politics, Philosophy and Economics 1 (1):1-24.
    Public funders of health research have been widely criticized on the grounds that their allocations of funding for disease-specific research do not reflect the relative burdens imposed by different diseases. For example, the US National Institutes of Health spends a much greater fraction of its budget on HIV/AIDS research and a much smaller fraction on migraine research than their relative contribution to the US burden of disease would suggest. Implicit in this criticism is a normative claim: Insofar as the scientific (...)
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  18. An Epidemic Model with Pro and Anti-vaccine Groups.L. H. A. Monteiro & G. S. Harari - 2022 - Acta Biotheoretica 70 (3):1-13.
    Here, an epidemiological model considering pro and anti-vaccination groups is proposed and analyzed. In this model, susceptible individuals can migrate between these two groups due to the influence of false and true news about safety and efficacy of vaccines. From this model, written as a set of three ordinary differential equations, analytical expressions for the disease-free steady state, the endemic steady state, and the basic reproduction number are derived. It is analytically shown that low vaccination rate and no influx to (...)
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  19. Relaxing Mask Mandates in New Jersey: A Tale of Two Universities.Wesley J. Park - 2022 - Voices in Bioethics 8.
    The ethical question is whether university mask mandates should be relaxed. I argue that the use of face masks by healthy individuals has uncertain benefits, which potential harms may outweigh, and should therefore be voluntary. Systematic reviews by the World Health Organization (WHO) and Cochrane Acute Respiratory Infections concluded that the use of face masks by healthy individuals in the community lacks effectiveness in reducing viral transmission based on moderate-quality evidence. The only two randomized controlled trials of face masks published (...)
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  20. 16 The logic of lockdowns: a game of modeling and evidence.Wesley J. Park - 2022 - BMJ Evidence-Based Medicine 27 (Suppl 1):A59.
    Lockdowns, or modern quarantines, involve the use of novel restrictive non-pharmaceutical interventions (NPIs) to suppress the transmission of COVID-19. In this paper, I aim to critically analyze the emerging history and philosophy of lockdowns, with an emphasis on the communication of health evidence and risk for informing policy decisions. I draw a distinction between evidence-based and modeling-based decision-making. I argue that using the normative framework of evidence-based medicine would have recommended against the use of lockdowns. I first review the World (...)
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  21. 143 An ethical analysis of evidence-based medicine.Wesley J. Park - 2022 - BMJ Evidence-Based Medicine 27 (Suppl 2):A12.
    Evidence-based medicine is a clinical decision making framework which makes claims about what physicians ought to do. Though heralded as the cutting edge of medical science evidence-based medicine is a value laden normative theory which implicitly depends on substantive views regarding what is morally good or right. In this paper, I provide an ethical analysis of evidence-based medicine. I consider its normative underpinnings in three ethical theories: utilitarianism, Kantian deontology, and virtue ethics. In the face of uncertainty, evidence-based medicine endorses (...)
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  22. COVID-19 and the unseen pandemic of child abuse.Wesley J. Park & Kristen A. Walsh - 2022 - BMJ Paediatrics Open 6 (1).
    For children, the collateral damage of the COVID-19 pandemic response has been considerable. In this paper, we use the framework of evidence-based medicine to argue that child abuse is another negative side effect of COVID-19 lockdowns. While it was certain that school closures would have profound social and economic costs, it remains uncertain whether they have any effect on COVID-19 transmission. There is emerging evidence that lockdowns significantly worsened child abuse on a global scale. Low-income and middle-income countries are particularly (...)
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  23. Mythological Endings: John Snow (1813–1858) and the History of American Epidemiology.Margaret Pelling - 2022 - Centaurus 64 (1):231-248.
    During the COVID-19 epidemic, the name of the 19th-century English physician John Snow (1813-1858) has cropped up to a surprising extent, notably in connection with the severe cholera epidemic of 1854 in the district of Golden Square, London. It is repeatedly stated that Snow brought this epidemic of waterborne disease to an end by removing the handle of the Broad Street pump. It is also widely known that this story is a myth. Nonetheless, the Broad Street pump story as told (...)
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  24. For the flaring up of the flu: The nurses of the Maggiore Hospital in Milan hit by the Spanish fever.Ivana Maria Rosi, Roberto Milos, Paolo Maria Galimberti & Stefania Rancati - 2022 - Nursing Inquiry 29 (4):e12479.
    In the last year of the Great War, Italy was also hit by the Spanish flu. The Civic Hospitals faced a deadly disaster with insufficient resources. All the heavy workload fell on the female nursing staff, who were the only ones able ensure the continuity of the hospital services. This study aimed to explore the impact of the influenza on the health of the nurses at the Maggiore Hospital in Milan during the second and third epidemic waves. Historical research was (...)
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  25. Chikungunya in Brazil, an Endless Epidemic.Jean Segata - 2022 - Centaurus 64 (1):133-144.
    This article examines how chikungunya virus disease is epidemiologically and politically invisible in Brazil, unlike other diseases related to the Aedes Aegypti mosquito, such as Zika, dengue, and yellow fever. It demonstrates the intricacy of identifying the presence of chikungunya, as its effects are generally materialised in pain, which is difficult to measure and quantify, and thus is invisible to medical and state bureaucracy. As with other chronic diseases, chikungunya transforms identities and social relations among those affected. By analysing the (...)
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  26. Jacob Steere-Williams. The Filth Disease: Typhoid Fever and the Practices of Epidemiology in Victorian England. (Rochester Studies in Medical History.) 340 pp., illus., bibl., index. Rochester, N.Y.: University of Rochester Press, 2020. $99 (cloth); ISBN 9781648250026. E-book available. [REVIEW]Tabitha Sparks - 2022 - Isis 113 (2):456-457.
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  27. Pandemics at Work: Convergence of Epidemiology and Ethics.Michele Thornton & William “Marty” Martin - 2022 - Business Ethics Quarterly 32 (1):41-74.
    Like COVID-19, new infectious disease outbreaks emerge almost annually, and studies predict that this trend will continue due to a variety of factors, including an aging population, ease of travel, and globalization of the economy. In response to episodic public health crises, governments and organizations develop, implement, and enforce policies, procedures, protocols, and programs. The epidemiological triad is both a model of disease causation and fundamentally used to design and deploy such control measures. Here we adapt this model to the (...)
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  28. Historical Epidemiology and the Single Pathogen Model of Epidemic Disease.James L. A. Webb - 2022 - Centaurus 64 (1):197-206.
    Pre-existing medical conditions and co-infections are common to all human populations, although the natures of the pre-existing conditions and the types of co-infections vary. For these reasons, among others, the arrival of a highly infectious pathogenic agent may differentially affect the disease burden in different sub-populations, as a function of varying combinations of endemic disease, chronic disease, genetic or epigenetic vulnerabilities, compromised immunological status, and socially determined risk exposure. The disease burden may also vary considerably by age cohort and socio-economic (...)
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  29. When is Lockdown Justified?Lucie White, Philippe van Basshuysen & Mathias Frisch - 2022 - Philosophy of Medicine 3 (1):1-22.
    How could the initial, drastic decisions to implement “lockdowns” to control the spread of COVID-19 infections be justifiable, when they were made on the basis of such uncertain evidence? We defend the imposition of lockdowns in some countries by first, and focusing on the UK, looking at the evidence that undergirded the decision, second, arguing that this provided us with sufficient grounds to restrict liberty given the circumstances, and third, defending the use of poorly-empirically-constrained epidemiological models as tools that can (...)
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  30. Value choices in European COVID-19 vaccination schedules: how vaccination prioritization differs from other forms of priority setting.Karolina Wiśniowska, Tomasz Żuradzki & Wojciech Ciszewski - 2022 - Journal of Law and the Biosciences 9 (2):lsac026.
    With the limited initial availability of COVID-19 vaccines in the first months of 2021, decision-makers had to determine the order in which different groups were prioritized. Our aim was to find out what normative approaches to the allocation of scarce preventive resources were embedded in the national COVID-19 vaccination schedules. We systematically reviewed and compared prioritization regulations in 27 members of the European Union, the United Kingdom, and Israel. We differentiated between two types of priority categories: groups that have increased (...)
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  31. Non-Epistemic Factors in Epidemiological Models. The Case of Mortality Data.M. Cristina Amoretti & Elisabetta Lalumera - 2021 - Mefisto 1 (5):65-78.
    The COVID-19 pandemic has made it especially visible that mortality data are a key component of epidemiological models, being a single indicator that provides information about various health aspects, such as disease prevalence and effectiveness of interventions, and thus enabling predictions on many fronts. In this paper we illustrate the interrelation between facts and values in death statistics, by analyzing the rules for death certification issued by the World Health Organization. We show how the notion of the underlying cause of (...)
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  32. COVID-19 as the underlying cause of death: disentangling facts and values.Maria Cristina Amoretti & Elisabetta Lalumera - 2021 - History and Philosophy of the Life Sciences 43 (1):1-4.
    In the ongoing pandemic, death statistics influence people’s feelings and government policy. But when does COVID-19 qualify as the cause of death? As philosophers of medicine interested in conceptual clarification, we address the question by analyzing the World Health Organization’s rules for the certification of death. We show that for COVID-19, WHO rules take into account both facts and values.
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  33. Comparison of COVID‐19 studies registered in the clinical trial platforms: A research ethics analysis perspective.Banu Buruk, Muberra Devrim Guner, Perihan Elif Ekmekci & Aksuyek Savas Celebi - 2021 - Developing World Bioethics 22 (4):217-230.
    BackgroundThe coronavirus disease (COVID-19) treatment must be based on scientific methods such as clinical trials. Trials involving human subjects and those requiring a risk-benefit analysis may occasionally face challenges owing to the time limitations in the pandemic. MethodologyThis study analyses the WHO's International Clinical Trials Registry Platform and clinicaltrials.gov, where most COVID-19 clinical trials are registered, according to ethical criteria including study design, conflicts of interest, enrollment of healthcare workers, study locations, site-, design-, and participant-related issues. The discussion is based (...)
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  34. Identification of causal intervention effects under contagion.Forrest W. Crawford, Wen Wei Loh & Xiaoxuan Cai - 2021 - Journal of Causal Inference 9 (1):9-38.
    Defining and identifying causal intervention effects for transmissible infectious disease outcomes is challenging because a treatment – such as a vaccine – given to one individual may affect the infection outcomes of others. Epidemiologists have proposed causal estimands to quantify effects of interventions under contagion using a two-person partnership model. These simple conceptual models have helped researchers develop causal estimands relevant to clinical evaluation of vaccine effects. However, many of these partnership models are formulated under structural assumptions that preclude realistic (...)
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  35. Sustaining Surveillance: The Importance of Information for Public Health.John G. Francis & Leslie P. Francis - 2021 - Springer Verlag.
    This book presents a comprehensive theory of the ethics and political philosophy of public health surveillance based on reciprocal obligations among surveillers, those under surveillance, and others potentially affected by surveillance practices. Public health surveillance aims to identify emerging health trends, population health trends, treatment efficacy, and methods of health promotion--all apparently laudatory goals. Nonetheless, as with anti-terrorism surveillance, public health surveillance raises complex questions about privacy, political liberty, and justice both of and in data use. Individuals and groups can (...)
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  36. Epidemiological models and COVID-19: a comparative view.Valeriano Iranzo & Saúl Pérez-González - 2021 - History and Philosophy of the Life Sciences 43 (3):1-24.
    Epidemiological models have played a central role in the COVID-19 pandemic, particularly when urgent decisions were required and available evidence was sparse. They have been used to predict the evolution of the disease and to inform policy-making. In this paper, we address two kinds of epidemiological models widely used in the pandemic, namely, compartmental models and agent-based models. After describing their essentials—some real examples are invoked—we discuss their main strengths and weaknesses. Then, on the basis of this analysis, we make (...)
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  37. Imagination and remembrance: what role should historical epidemiology play in a world bewitched by mathematical modelling of COVID-19 and other epidemics?Euzebiusz Jamrozik & George S. Heriot - 2021 - History and Philosophy of the Life Sciences 43 (2):1-5.
    Although every emerging infectious disease occurs in a unique context, the behaviour of previous pandemics offers an insight into the medium- and long-term outcomes of the current threat. Where an informative historical analogue exists, epidemiologists and policymakers should consider how the insights of the past can inform current forecasts and responses.
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  38. Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia.Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei & Mabrook Al-Rakhami - 2021 - Complexity 2021 (1):6686745.
    The novel coronavirus disease is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to have (...)
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  39. Mathematical Analysis of an Industrial HIV/AIDS Model that Incorporates Carefree Attitude Towards Sex.Baba Seidu, O. D. Makinde & Christopher S. Bornaa - 2021 - Acta Biotheoretica 69 (3):257-276.
    A nonlinear differential equation model is proposed to study the dynamics of HIV/AIDS and its effects on workforce productivity. The disease-free equilibrium point of the model is shown to be locally asymptotically stable when the associated basic reproduction number $$\mathcal{{R}}_{0}$$ is less than unity. The model is also shown to exhibit multiple endemic states for some parameter values when $$\mathcal{{R}}_{0} 1$$. Global asymptotic stability of the disease-free equilibrium is guaranteed only when the fractions of the Susceptible subclass populations are within (...)
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  40. Recomposing persons: Scavenging and storytelling in a birth cohort archive.Penny Tinkler, Resto Cruz & Laura Fenton - 2021 - History of the Human Sciences 34 (3-4):266-289.
    Birth cohort studies can be used not only to generate population-level quantitative data, but also to recompose persons. The crux is how we understand data and persons. Recomposition entails scavenging for various (including unrecognised) data. It foregrounds the perspective and subjectivity of survey participants, but without forgetting the partiality and incompleteness of the accounts that it may generate. Although interested in the singularity of individuals, it attends to the historical and relational embeddedness of personhood. It examines the multiple and complex (...)
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  41. Were Lockdowns Justified? A Return to the Facts and Evidence.Philippe van Basshuysen & Lucie White - 2021 - Kennedy Institute of Ethics Journal 31 (4):405-428.
    Were governments justified in imposing lockdowns to contain the spread of the COVID-19 pandemic? We argue that a convincing answer to this question is to date wanting, by critically analyzing the factual basis of a recent paper, “How Government Leaders Violated Their Epistemic Duties During the SARS-CoV-2 Crisis” (Winsberg et al. 2020). In their paper, Winsberg et al. argue that government leaders did not, at the beginning of the pandemic, meet the epistemic requirements necessitated to impose lockdowns. We focus on (...)
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  42. The Epistemic Duties of Philosophers: An Addendum.Philippe van Basshuysen & Lucie White - 2021 - Kennedy Institute of Ethics Journal 31 (4):447-451.
    We were slightly concerned, upon having read Eric Winsberg, Jason Brennan and Chris Surprenant’s reply to our paper “Were Lockdowns Justified? A Return to the Facts and Evidence”, that they may have fundamentally misunderstood the nature of our argument, so we issue the following clarification, along with a comment on our motivations for writing such a piece, for the interested reader.
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  43. Three Ways in Which Pandemic Models May Perform a Pandemic.Philippe Van Basshuysen, Lucie White, Donal Khosrowi & Mathias Frisch - 2021 - Erasmus Journal for Philosophy and Economics 14 (1):110-127.
    Models not only represent but may also influence their targets in important ways. While models’ abilities to influence outcomes has been studied in the context of economic models, often under the label ‘performativity’, we argue that this phenomenon also pertains to epidemiological models, such as those used for forecasting the trajectory of the Covid-19 pandemic. After identifying three ways in which a model by the Covid-19 Response Team at Imperial College London may have influenced scientific advice, policy, and individual responses, (...)
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  44. The Primacy of Duty and Its Efficacy in Combating COVID-19.Robert Elliott Allinson - 2020 - Public Health Ethics 13 (2):179-189.
    Nyansa nye sika na w'akyekyere asie. One critical factor that has contributed to the spread of the virus COVID-19 and resulting illnesses and deaths is both the conceptual and the ethical confusion between the prioritization of individual rights over social duties. The adherence to the belief in the priority of rights over duties has motivated some individuals to refrain from social distancing and, as a result, has placed themselves and other individuals at serious risk to health and life. My argument (...)
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  45. Making evidential claims in epidemiology: Three strategies for the study of the exposome.Stefano Canali - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 82:101248.
    How is scientific data used to represent phenomena and as evidence for claims about phenomena? In this paper, I propose that a specific type of claims – evidential claims – is involved in data practices to define and restrict the representational and evidential content of a dataset. I present an account of data practices in the epidemiology of the exposome based on the notion of evidential claims, which helps unpack the approaches, assumptions and warrants that connect different stages of research. (...)
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  46. Measuring the Global Burden of Disease: Philosophical Dimensions.Nir Eyal, Samia A. Hurst, Christopher J. L. Murray, S. Andrew Schroeder & Daniel Wikler (eds.) - 2020 - New York, USA: Oup Usa.
    The Global Burden of Disease Study is one of the largest-scale research collaborations in global health, producing critical data for researchers, policy-makers, and health workers about more than 350 diseases, injuries, and risk factors. Such an undertaking is, of course, extremely complex from an empirical perspective. But it also raises complex ethical and philosophical questions. In this volume, a group of leading philosophers, economists, epidemiologists, and policy scholars identify and discuss these philosophical questions. Better appreciating the philosophical dimensions of a (...)
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  47. Medical Nihilism by Jacob Stegenga: What is the right dose? [REVIEW]Jonathan Fuller - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 81.
  48. Human Flourishing and Population Health: Meaning, Measurement, and Implications.Jeff Levin - 2020 - Perspectives in Biology and Medicine 63 (3):401-419.
    In recent decades, social and behavioral scientists have begun to explore how and why human beings thrive or flourish and to consider whether traits indicative of thriving or flourishing may themselves influence physical well-being. This stands in contrast to the historical tendency in these fields to focus on pathology: mental illness, psychological dysfunction, deviant behavior, social problems, and so on. In epidemiology, too, the influence of pathology is seen in a tacit emphasis on risk factors for disease outcomes and for (...)
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  49. Ethical Dimensions of the Global Burden of Disease.Christopher J. L. Murray & S. Andrew Schroeder - 2020 - In Nir Eyal, Samia A. Hurst, Christopher J. L. Murray, S. Andrew Schroeder & Daniel Wikler (eds.), Measuring the Global Burden of Disease: Philosophical Dimensions. New York, USA: Oup Usa. pp. 24-47.
    This chapter suggests that descriptive epidemiological studies like the Global Burden of Disease Study can usefully be divided into four tasks: describing individuals’ health states over time, assessing their health states under a range of counterfactual scenarios, summarizing the information collected, and then packaging it for presentation. The authors show that each of these tasks raises important and challenging ethical questions. They comment on some of the philosophical issues involved in measuring health states, attributing causes to health outcomes, choosing the (...)
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  50. Concepto de riesco: (dis)continuidades entre corrientes epidemiológicas.Carolina Ocampo, Anibal Eduardo Carbajo & Guillermo Folguera - 2020 - Principia: An International Journal of Epistemology 24 (3):633-656.
    In the present study we analyze if the risk concept of the hegemonic epidemiologychanges its nature in purportedly alternative currents as ecoepidemiology and socialepidemiology focused in multilevel analysis.We analyze the way this concept is distinguishedin every current and its relationship with other epidemiologic key notions as cause. We findthat the risk concept and the notion of cause remain relatively unchanged among the differentcurrents even when there is some theoretical discussion about the complexity of multilevelsystems and other explanations for the events. (...)
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