Academic literature on the topic 'Precision public health'

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Journal articles on the topic "Precision public health"

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Olstad, Dana Lee, and Lynn McIntyre. "Reconceptualising precision public health." BMJ Open 9, no. 9 (2019): e030279. http://dx.doi.org/10.1136/bmjopen-2019-030279.

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As currently conceived, precision public health is at risk of becoming precision medicine at a population level. This paper outlines a framework for precision public health that, in contrast to its current operationalisation, is consistent with public health principles because it integrates factors at all levels, while illuminating social position as a fundamental determinant of health and health inequities. We review conceptual foundations of public health, outline a proposed framework for precision public health and describe its operationalisation within research and practice. Social position shapes individuals’ unequal experiences of the social determinants of health. Thus, in our formulation, precision public health investigates how multiple dimensions of social position interact to confer health risk differently for precisely defined population subgroups according to the social contexts in which they are embedded, while considering relevant biological and behavioural factors. It leverages this information to uncover the precise and intersecting social structures that pattern health outcomes, and to identify actionable interventions within the social contexts of affected groups. We contend that studies informed by this framework offer greater potential to improve health than current conceptualisations of precision public health that do not address root causes. Moreover, expanding beyond master categories of social position and operationalising these categories in more precise ways across time and place can enrich public health research through greater attention to the heterogeneity of social positions, their causes and health effects, leading to the identification of points of intervention that are specific enough to be useful in reducing health inequities. Failure to attend to this level of particularity may mask the true nature of health risk, the causal mechanisms at play and appropriate interventions. Conceptualised thus, precision public health is a research endeavour with much to offer by way of understanding and intervening on the causes of poor health and health inequities.As currently conceived, precision public health is at risk of becoming precision medicine at a population level. This paper outlines a framework for precision public health that, in contrast to its current operationalization, is consistent with public health principles because it integrates factors at all levels, while illuminating social position as a fundamental determinant of health and health inequities. We review conceptual foundations of public health, outline a proposed framework for precision public health and describe its operationalization within research and practice. Social position shapes individuals’ unequal experiences of the social determinants of health. Thus, in our formulation, precision public health investigates how multiple dimensions of social position interact to confer health risk differently for precisely defined population subgroups according to the social contexts in which they are embedded, while considering relevant biological and behavioural factors. It leverages this information to uncover the precise and intersecting social structures that pattern health outcomes, and to identify actionable interventions within the social contexts of affected groups. We contend that studies informed by this framework offer greater potential to improve health than current conceptualizations of precision public health that do not address root causes. Moreover, expanding beyond master categories of social position and operationalizing these categories in more precise ways across time and place can enrich public health research through greater attention to the heterogeneity of social positions, their causes and health effects, leading to identification of points of intervention that are specific enough to be useful in reducing health inequities. Failure to attend to this level of particularity may mask the true nature of health risk, the causal mechanisms at play and appropriate interventions. Conceptualized thus, precision public health is a research endeavour with much to offer by way of understanding and intervening on the causes of poor health and health inequities.
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Reich, Brian J., and Murali Haran. "Precision maps for public health." Nature 555, no. 7694 (2018): 32–33. http://dx.doi.org/10.1038/d41586-018-02096-w.

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Khoury, Muin J., Michael F. Iademarco, and William T. Riley. "Precision Public Health for the Era of Precision Medicine." American Journal of Preventive Medicine 50, no. 3 (2016): 398–401. http://dx.doi.org/10.1016/j.amepre.2015.08.031.

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Kenney, Martha, and Laura Mamo. "The imaginary of precision public health." Medical Humanities 46, no. 3 (2019): 192–203. http://dx.doi.org/10.1136/medhum-2018-011597.

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In recent years, precision medicine has emerged as a charismatic name for a growing movement to revolutionise biomedicine by bringing genomic knowledge and sequencing to clinical care. Increasingly, the precision revolution has also included a new paradigm called precision public health—part genomics, part informatics, part public health and part biomedicine. Advocates of precision public health, such as Sue Desmond-Hellmann, argue that adopting cutting-edge big data approaches will allow public health actors to precisely target populations who experience the highest burden of disease and mortality, creating more equitable health futures. In this article we analyse precision public health as a sociotechnical imaginary, examining how calls for precision shape which public health efforts are seen as necessary and desirable. By comparing the rhetoric of precision public health to precision warfare, we find that precision prescribes technical solutions to complex problems and promises data-driven futures free of uncertainty, unnecessary suffering and inefficient use of resources. We look at how these imagined futures shape the present as they animate public health initiatives in the Global South funded by powerful philanthropic organisations, such as the Bill & Melinda Gates Foundation, as well as local efforts to address cancer disparities in San Francisco. Through our analysis of the imaginary of precision public health, we identify an emerging tension between health equity goals and precision’s technical solutions. Using large datasets to target interventions with greater precision, we argue, fails to address the upstream social determinants of health that give rise to health disparities worldwide. Therefore, we urge caution around investing in precision without a complementary commitment to addressing the social and economic conditions that are the root cause of health inequality.
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Arnett, Donna K., and Steven A. Claas. "Precision Medicine, Genomics, and Public Health." Diabetes Care 39, no. 11 (2016): 1870–73. http://dx.doi.org/10.2337/dc16-1763.

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Kee, Frank, and David Taylor-Robinson. "Scientific challenges for precision public health." Journal of Epidemiology and Community Health 74, no. 4 (2020): 311–14. http://dx.doi.org/10.1136/jech-2019-213311.

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The notion of ‘precision’ public health has been the subject of much debate, with recent articles coming to its defence following the publication of several papers questioning its value.Critics of precision public health raise the following problems and questionable assumptions: the inherent limits of prediction for individuals; the limits of approaches to prevention that rely on individual agency, in particular the potential for these approaches to widen inequalities; the undue emphasis on the supposed new information contained in individuals’ molecules and their ‘big data’ at the expense of their own preferences for a particular intervention strategy and the diversion of resources and attention from the social determinants of health.In order to refocus some of these criticisms of precision public health as scientific questions, this article outlines some of the challenges when defining risk for individuals; the limitations of current theory and study design for precision public health; and the potential for unintended harms.
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Dowell, Scott F., David Blazes, and Susan Desmond-Hellmann. "Four steps to precision public health." Nature 540, no. 7632 (2016): 189–91. http://dx.doi.org/10.1038/540189a.

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Chowkwanyun, Merlin, Ronald Bayer, and Sandro Galea. "Precision public health: pitfalls and promises." Lancet 393, no. 10183 (2019): 1801. http://dx.doi.org/10.1016/s0140-6736(18)33187-8.

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Khoury, Muin J., M. Scott Bowen, Mindy Clyne, et al. "From public health genomics to precision public health: a 20-year journey." Genetics in Medicine 20, no. 6 (2017): 574–82. http://dx.doi.org/10.1038/gim.2017.211.

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Griffith, Derek M. "Abstract IA014: Precision public health approaches to health equity." Cancer Prevention Research 16, no. 1_Supplement (2023): IA014. http://dx.doi.org/10.1158/1940-6215.precprev22-ia014.

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Abstract Since President Barack Obama announced the “Precision Medicine Initiative” during his state of the union address in January 2015, the sciences of precision medicine and health equity have largely grown in parallel, though there have been some efforts to bring the two together. As research on health equity has evolved to name and consider structural racism, the penultimate goal of research in this area also as moved from efforts to identify and describe gaps between racial and ethnic groups to characterizing the context creates and perpetuates racial inequities and how best to mitigate them. In this presentation, I will briefly describe how syndemics, intersectionality, and individual tailoring may complement downstream efforts to characterize epigenetic and genomic efforts to develop biomedical interventions to achieve healthcare equity and health equity. After noting how the principles of precision medicine may be applied more broadly than the most common way it is operationalized through genomic medicine, I argue that that creating racial justice in health will require defining health equity more clearly and precisely. Consequently, I utilize the example of Black men and the context of COVID-19 to highlight how more precisely defining the structural context of the population of interest by using tools such as intersectionality and syndemics is fundamental to achieving equity. I highlight how achieving health equity will require creating, resisting, undoing, and mitigating structural racism and note what that means for cancer research. Precision medicine may help to mitigate the health effects of structural racism, and it will remain an important tool to promote population health; however, efforts to achieve health equity and racial justice will require interventions that change the contexts and conditions that create, exacerbate, and perpetuate structural inequities and the racial inequities in health outcomes that they produce and maintain. Citation Format: Derek M. Griffith. Precision public health approaches to health equity. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr IA014.
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Dissertations / Theses on the topic "Precision public health"

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Arnold, Matthias [Verfasser]. "Linking Precision Medicine to Public Health: An Economic Perspective on Mammography Screening / Matthias Arnold." München : Verlag Dr. Hut, 2018. http://d-nb.info/1168534283/34.

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Lyttkens, Peter. "Epidemiologiska modeller för herpesvirusets roll i kognitiv svikt." Thesis, Uppsala universitet, Folkhälsovetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447420.

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Introduction: Cognitive impairment is converted for 15% to Alzheimer’s disease (AD), which is incurable. The aim of this study is to investigate whether Herpes simplex virus type 1 (HSV1) and its interaction with allele ε4 of Apolipoprotein E (ApoE-ε4) may be possible risk factors for cognitive impairment. Here, suggestions for implementation of Precision Public Health (PPH) is also presented; population studies of relevant biomarkers of infectious burden and data from health outcomes with the aim of remedying public health crises, monitoring diseases, anticipating risks and using public health initiatives adapted to risk groups to increase understanding of diseases, such as AD. Method: An analysis of 1013 people aged 75 from the cohort, Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS), was performed. Linear mixed models (LMM) were used to investigate whether anti-HSV1 IgG and ApoE-ε4 are associated with risk of developing cognitive impairment over 5 years. Anti-HSV1 IgG in serum was detected by Enzyme-linked immunosorbent assays and cognitive impairment was examined by Mini Mental State Examination. Results: Neither anti-HSV1 IgG positivity nor its interaction with ApoE-ε4 were associated with cognitive impairment. Discussion: Studies of HSV1 without HSV2 or HSV show mixed results. Therefore, we do not yet have sufficient evidence to implement PPH-interventions against these risks. Other cognitive tests that are more sensitive to early changes and adjustment for underrepresented groups may potentially contribute to a more accurate analysis.<br>Bakgrund: Kognitiv nedsättning övergår för 15 % till Alzheimers sjukdom (AD) som är obotlig. Denna studie har målsättningen att undersöka om Herpes simplex virus typ 1 (HSV1) och dess interaktion med riskvarianten allel ε4 av genen Apolipoprotein E (ApoE-ε4) kan vara möjliga riskfaktorer för kognitiv nedsättning. I arbetet diskuteras även hur man genom Precision Public Health (PPH) kan studera befolkningen med avseende på relevanta biomarkörer och data från hälsoutfall med syfte att avhjälpa folkhälsokriser, övervaka sjukdomar och förutse risker såsom sjunkande kognition och med folkhälsoinsatser anpassade till riskgrupper öka förståelsen av dessa tillstånd. Metod: En analys av 1013 personer 75 år ur kohorten ”Prospecive Investigation of the Vasculature in Uppsala Seniors” (PIVUS). Linear mixed models (LMM) användes för att undersöka om anti-HSV1 IgG och ApoE-ε4 är associerade med kognitiv nedsättning under 5 år. Anti-HSV1 IgG i serum detekterades med ”Enzyme-linked immunosorbent assays” och kognitiv nedsättning undersöktes med Mini Mental State Examination. Resultat: Anti-HSV1 IgG positivitet var inte associerat med kognitiv nedsättning. Anti-HSV1 IgG positivitet och samtidig ApoE-ε4 var inte heller associerat med kognitiv nedsättning. Diskussion: Andra studier av endast HSV1 utan HSV2 eller HSV visar blandade resultat, varför kunskapsläget idag inte stödjer tillämpning av PPH-interventioner mot dessa risker. Andra kognitiva mått som är känsligare för små förändringar nära intakt kognition samt justering för underrepresenterade grupper kan möjligen bidra till säkrare analys.
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van, Rie A., Viedma D. G. de, Conor J. Meehan, et al. "Whole-genome sequencing for TB source investigations: principles of ethical precision public health." 2021. http://hdl.handle.net/10454/18526.

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yes<br>BACKGROUND: Whole-genome sequencing (WGS) of Mycobacterium tuberculosis allows rapid, accurate inferences about the sources, location and timing of transmission. However, in an era of heightened concern for personal privacy and science distrust, such inferences could result in unintended harm and undermine the public´s trust. METHODS: We held interdisciplinary stakeholder discussions and performed ethical analyses of real-world illustrative cases to identify principles that optimise benefit and mitigate harm of M. tuberculosis WGS-driven TB source investigations.RESULTS: The speed and precision with which real-time WGS can be used to associate M. tuberculosis strains with sensitive information has raised important concerns. While detailed understanding of transmission events could mitigate harm to vulnerable patients and communities when otherwise unfairly blamed for TB outbreaks, the precision of WGS can also identify transmission events resulting in social blame, fear, discrimination, individual or location stigma, and the use of defaming language by the public, politicians and scientists. Public health programmes should balance the need to safeguard privacy with public health goals, transparency and individual rights, including the right to know who infects whom or where.CONCLUSIONS: Ethical challenges raised by real-time WGS-driven TB source investigation requires public health authorities to move beyond their current legal mandate and embrace transparency, privacy and community engagement.
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Ferrão, João Luís. "Characterising, modelling and mapping malaria occurrence and its mortality trend for precision public health." Doctoral thesis, 2018. http://hdl.handle.net/10362/64068.

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A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management Specialization in Statistics and Econometrics<br>This work considers characterizing, modelling and mapping malaria occurrence and its mortality trend for Precision Public Health in Chimoio. Mozambique. Malaria is an ancient disease and a major public concern especially in the African continent. The majority of deaths occur among children living in Africa (91 %), where a child dies every minute and half from malaria. The data for malaria cases and mortality were obtained from the weekly BES from 2006 to 2014 and Civil Registration books from 2007 to 2014respectively. To model malaria cases ARIMA was used while for mortality trends, Intervention time series analysis (ITSA) was used. Package tscount and R version 3.3.2, Biestat 5.0 and SPSS were employed to fit, assess and predict model and statistical analysis. In Chimoio, malaria occurrence and mortality is increasing annually and presents a spatial and temporal pattern peaking during weeks 1 to 12 (January to March). The rural areas of the municipality have more malaria and mortality cases, followed by suburbs, and urban areas have fewer cases. Children under 5 years of age are three times more prone to get malaria than the rest of the population. The Chimoio climate seems ideal for malaria occurrence. Children between 1 – 4 years old are 13% of Chimoio population, but represent 25% of malaria mortalities. The entire municipality presents a malaria risk, 96% with moderate risk and 4% with high-risk areas. The use of Intervention time series analysis approach for modelling malaria mortality is suggested, and on owing to its flexibility and interpretation. The practicality of the statistical modelling method was validated to detect the lagged relationship between malaria cases and mortality. Based on the results, malaria cases and mortality can be predicted two months in advance. This modelling approach is robust, and can predict the expected number of malaria and mortality cases in advance. Thus, timely prevention and control measures can be effectively planned in Chimoio, such as the elimination of vector breeding places, correct time and place to spray insecticides, and awareness campaigns weeks before the malaria peak season. This can lead to a reduction in malaria cases, by knowing the best moment for spraying, saving time and cost of insecticide application and preventive programmes, and guiding smart environmental care (Precision Public Health).<br>Considera-se neste trabalho a caracterização, modelagem e mapeamento da ocorrência da malaria e suas tendências de mortalidade, para a Saúde Publica de Precisão em Chimoio, Moçambique. A malária é uma doença milenar sendo um grande problema de Saúde Pública, especialmente em África onde ocorre o maior número de mortalidade em crianças (91%) estimando-se que em cada minuto e meio uma criança morre de malária. Os dados de malária e mortalidade foram recolhidos dos Boletins Epidemiológicos Semanais de 2006 a 2014 e dos livros de registos dos Serviços de Registo e Notariado no período entre 2007 a 2014 respetivamente. Para a modelação da malaria foi usado o ARIMA enquanto para as tendências de mortalidade o a análise de série temporal de intervenção (ITSA). Os pacotes estatísticos tscount, R versão 3.3.2, Bioestat 5.0 e o SPSS versão 20 foram usados para modelar, aceder e realizar predição do modelo e testes estatísticos apropriados. Em Chimoio a ocorrência da malaria e mortalidade tendem a crescer anualmente, exibindo padrões temporais e espaciais sendo o seu pico entre as semanas 1 a 12 (janeiro a março) e as áreas rurais apresentam mais malária e mortalidade, seguida dos subúrbios sendo a zona urbana a que menos casos apresenta. +As crianças com menos de 5 anos de idade tem três vezes mais suscetibilidade de contrair malária. O Clima de Chimoio parece ser ideal para a ocorrência da malária. As crianças entre 1 – 4 anos de idade constituem13% da população, entretanto representam 25 % dos casos de mortalidade por malária. Toda a superfície municipal apresenta risco para contrair malaria sendo, 96% áreas de risco moderado e 4% de risco alto. Sugere-se o uso da abordagem de series temporais generalizadas para a modelação devido a sua flexibilidade e facilidade de interpretação. A praticabilidade da modelação estatística foi validada para detetar a distância entre a ocorrência da malária e mortalidade. Com base nos dados a ocorrência de malária e mortalidade podem ser previstos com antecedência. VII Esta forma de abordar a modelação é robusta, pode fazer a previsão atempada da malária e mortalidade, permitindo medidas de prevenção e controlo atempadas e uma planificação efetiva em Chimoio consistindo em eliminação de áreas para a reprodução do vetor, tempo e local correto para a pulverização com inseticidas, fazer as campanhas de prevenção antes do pico da malária. Estas medidas podem resultar em poupança de custos e tempo nas medidas preventivas para além de reduzir os efeitos nefastos para o ambiente (Saúde Publica de Precisão).
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Books on the topic "Precision public health"

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New York (State). Center for Environmental Health. Public health assessment, Hopewell precision area contamination, hamlet of Hopewell Junction, Town of East Fishkill, Dutchess County, New York. New York State Department of Health, Center for Environmental Health, 2007.

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Weeramanthri, Tarun, Hugh Dawkins, Gareth Baynam, Matthew Bellgard, Ori Gudes, and James Semmens, eds. Precision Public Health. Frontiers Media SA, 2018. http://dx.doi.org/10.3389/978-2-88945-501-0.

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Discovering precision health. Wiley-Blackwell, 2020.

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Ancestral Genomics: African American Health in the Age of Precision Medicine. Harvard University Press, 2024.

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Ancestral Genomics: African American Health in the Age of Precision Medicine. Harvard University Press, 2024.

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Sarwar, Evangel. Global Perspectives on Precision Medicine: Ethical, Social and Public Health Implications. Springer International Publishing AG, 2023.

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Rees, Matthew, and Lloyd Minor. Discovering Precision Health: Predict, Prevent, and Cure to Advance Health and Well-Being. Wiley & Sons, Limited, John, 2020.

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Tudor Edwards, Rhiannon, and Emma McIntosh, eds. Applied Health Economics for Public Health Practice and Research. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198737483.001.0001.

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Public health has been described as the organized activities of society to improve and protect the health of the population. Health economics applied to public health is the study of how we allocate our scarce societal resources to meet our public health wants and needs in the best way possible. This book presents current thinking on health economics methodology and application to the evaluation of public health interventions (PHIs). It is for health economists working in higher education and public healthcare systems, challenged with the economic evaluation of PHIs, when they have been used to applying health economics and the methods of economic evaluation to narrower clinical interventions in primary or secondary care settings. This book will also be of interest to public health practitioners wanting to incorporate health economics into their daily work. This book covers the history of economics of public health and the economic rationale for government investment in prevention; principles of health economics including scarcity, choice, and opportunity cost; evidence synthesis; key methods of economic evaluation with accompanying case studies; economic modelling of public health interventions; return on investment analysis with national and international case studies; and application of programme budgeting and marginal analysis (PBMA) to the prioritization of PHIs. It concludes with priorities for research in the field of public health economics, spanning an acknowledgement of the role played by the natural environment in promoting better health, through to precision public health, recognizing the role of genetics, the environment, and socioeconomic status in determining population health.
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Homayouni, Ramin, Huixiao Hong, Prashanti Manda, Bindu Nanduri, and Inimary Toby, eds. Unleashing Innovation on Precision Public Health: Highlights from the MCBIOS & MAQC 2021 Joint Conference. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-539-3.

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Fleck, Leonard M. Precision Medicine and Distributive Justice. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197647721.001.0001.

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Abstract Wicked ethical problems have been generated by precision medicine due to both the wiliness of cancer and the fragmentation of health care financing in the United States. The wiliness of cancer has resulted in these targeted cancer therapies yielding only very marginal gains in life expectancy for most patients at very great cost, thereby threatening the just allocation of health care resources. As a life-threatening phenomenon, cancer is not morally special. Philosophers have high hopes for the utility of their theories of justice. However, metastatic cancer and costly precision medicines generate extremely complex problems of health care justice that none of these theories can address adequately. What is needed instead is a political conception of health care justice (following Rawls) and a fair and inclusive process of rational democratic deliberation governed by public reason. A basic assumption is that society has only limited health care resources to meet unlimited health care needs (generated by emerging medical technologies). The primary ethical and political virtue of rational democratic deliberation is that it allows citizens as citizens to fashion autonomously shared understandings of how to address fairly the complex problems of health care justice generated by precision medicine. Still, in a pluralistic world, ideally just outcomes are a moral and political impossibility. Wicked problems can metastasize if rationing decisions are made invisibly, in ways effectively hidden from those affected by those decisions. A fair and inclusive process of democratic deliberation makes wicked problems visible to public reason.
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Book chapters on the topic "Precision public health"

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Alvarez, Maria Josefina Ruiz. "Precision Public Health Perspectives." In Precision Medicine in Clinical Practice. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5082-7_7.

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Daughton, Ashlynn R., and Michael J. Paul. "Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring." In Precision Health and Medicine. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24409-5_2.

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Lu, Xing Han, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, and David L. Buckeridge. "Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages." In Precision Health and Medicine. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24409-5_16.

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Ma, Jun, Nan Lv, Corina R. Ronneberg, and Thomas Kannampallil. "Precision behavioral medicine: Theories, designs, and applications." In APA handbook of health psychology, Volume 3: Health psychology and public health (Vol. 3). American Psychological Association, 2025. http://dx.doi.org/10.1037/0000396-025.

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Ramos, Kenneth S., and Erik Won. "At the intersection of precision medicine, health psychology, and public health." In APA handbook of health psychology, Volume 3: Health psychology and public health (Vol. 3). American Psychological Association, 2025. http://dx.doi.org/10.1037/0000396-024.

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Sarwar, Evangel. "Relevance of Precision Medicine in Public Health Genomics and Global Health Genomics." In Advancing Global Bioethics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28593-6_5.

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Stenmarck, Mille Sofie, and Irmelin W. Nilsen. "Precision Oncology in the News." In Human Perspectives in Health Sciences and Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92612-0_3.

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AbstractCancer has been a highly prevalent topic in the news media for some time and continues to be so with the rise and alleged promise of precision medicine. In this chapter, we present two empirical studies that explore how the news media frames issues related to cancer treatment and research.Our two studies both find a striking lack of nuance and diversity in the framing. The media coverage has seemingly stagnated, with a framing of either tragic choices and patient stories, or the sensationalistic coverage of new cancer drugs and treatments. The news content is accepted as is without further challenging questions or objections. We consider why it is that these news framings remain unchallenged in this way.We argue that we need a more sober approach to cancer in the news media, thus challenging the dominant framings that have characterized the media coverage of the topic of cancer over the last decade. The news media is one of the contributing instances, shaping the public discourse on cancer. However the answer as to why we see this complete lack of nuance cannot solely be studied with a media centred approach.
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Talukder, Asoke K. "Big Data Analytics Advances in Health Intelligence, Public Health, and Evidence-Based Precision Medicine." In Big Data Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72413-3_17.

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Hendricks-Sturrup, Rachele, and Dixil Francis. "Evidence on Real-World Data and Real-World Evidence as a Driver for Precision Medicine Implementation in Pharmacy Practice." In Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-64477-2_93.

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Hendricks-Sturrup, Rachele, and Dixil Francis. "Evidence on Real-World Data and Real-World Evidence As a Driver for Precision Medicine Implementation in Pharmacy Practice." In Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-50247-8_93-1.

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Conference papers on the topic "Precision public health"

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Khatri, Parul, Archana Sharma, and Payal. "An Optimized Machine Learning-Based Stroke Prediction: Enhancing Precision Medicine and Public Health." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10690944.

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Makhija, Aria. "Leveraging ResNet-50 for Precision Toxicity Classification in Plants: A Vision-Based Approach to Safeguard Public Health." In 2024 E-Health and Bioengineering Conference (EHB). IEEE, 2024. https://doi.org/10.1109/ehb64556.2024.10805656.

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Bagga, Manju, and Sonali Goyal. "A Comprehensive Study of Public Datasets Used in Precision Agriculture to Classify Diseased and Healthy Crop Leaves." In 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2024. https://doi.org/10.1109/pdgc64653.2024.10984380.

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Belghait, Fodil, Alain April, Pavel Hamet, Johanne Tremblay, and Christian Desrosiers. "A Large-scale and Extensible Platform for Precision Medicine Research." In DPH2019: 9th International Digital Public Health Conference (2019). ACM, 2019. http://dx.doi.org/10.1145/3357729.3357742.

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Odedina, Folakemi. "Abstract IA42: Addressing prostate cancer disparities through precision public health: The CaPTC experience." In Abstracts: Eleventh AACR Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; November 2-5, 2018; New Orleans, LA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7755.disp18-ia42.

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Sun, Yuhao, Albert Tenesa, and John Vines. "Human-Precision Medicine Interaction: Public Perceptions of Polygenic Risk Score for Genetic Health Prediction." In CHI 2025: CHI Conference on Human Factors in Computing Systems. ACM, 2025. https://doi.org/10.1145/3706598.3713567.

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Subashi, Brunilda, Fatjona Kamberi, Erlini Kokalla, et al. "Dimensional measurement accuracy to health, quality of life and health related quality of life." In Proceedings of the International Congress Public Health - Achievements and Challenges. Institute of Public Health of Serbia "Dr Milan Jovanović Batut", 2024. http://dx.doi.org/10.5937/batutphco24100s.

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Background: Health is only one dimension of quality of life, and quality of life is more than health status, clinical symptoms, or functional ability, however it might be challenging to distinguish between health-related quality of life (HRQoL) and both health and quality of life (QoL). Methods and Objectives: This study aims to identify dimensional measurement accuracy to health, quality of life and health related quality of life, and the focus of studies related to these terms. The PubMed database was searched for studies related to the terms 'dimensional measurement accuracy', 'health', 'quality of life', and 'quality of life related to health' without time limit. Results: A total of 14 results were found from the search: 4 results in relation to 'health', 5 results in relation to 'quality of life', 5 results in relation to 'health related quality of life. Among the 4 studies found in relation to health and dimensions of health, 2 of them had the objective of highlighting the importance of physical activity (respectively 6-minute walking and cardiorespiratory fitness) while one of them had the objective to compare weight estimation methods in an inner-city pediatric population with high obesity rates, while another study emphasizes the role of spatial contiguity and interfeature distances in the composite face illusion. While the 5 studies related to quality of life and health related quality of life turned out to be the same studies. 3 of the studies are related to the development and validation of an instrument (PROM) with respectively objectives, one study aimed to evaluate the diagnostic accuracy of various symptoms and domains in differentiating patients with fibromyalgia from healthy controls, and the other study aims to assess psychological personal factors in individuals with spinal cord injury using Rasch analysis. Conclusions: The accuracy and precision of the dimensional measurement is essential for the validity and reliability of the studies.
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Sheth, Suraj, and Luís Bettencourt. "A Precision Public Health Study on the Divergence of Life Expectancies Over Time in United States Counties." In 2023 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2023. http://dx.doi.org/10.1109/sustech57309.2023.10129534.

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Jovanović, Sofija, Radoljupka Radosavljević, Marko Milosavljević, and Nikola Kuburović. "Breast cancer screening and the importance of centralized EHR screening systems in the Republic of Serbia: An overview." In Proceedings of the International Congress Public Health - Achievements and Challenges. Institute of Public Health of Serbia "Dr Milan Jovanović Batut", 2024. http://dx.doi.org/10.5937/batutphco24207j.

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Breast cancer (BC) remains the most common malignancy among women in Serbia, contributing significantly to both cancer morbidity and mortality annually. In December 2012, in response to the then-growing incidence of BC, the Republic of Serbia implemented a National Program for early BC detection, aligned with recommendations from the World Health Organization (WHO) and globally enforced practices. The program targets women aged 50 to 69 who are at higher risk for BC and is carried out in twoyear screening cycles designed to ensure comprehensive population coverage. All eligible women are encouraged to undergo mammographic examination - the diagnostic tool of choice - during each screening cycle. So far, five such cycles of organized BC screening have been completed, while the sixth cycle is currently underway (since the beginning of 2023) and will continue throughout 2024. As such, the program aims to reach at least 75% of the target population coverage. The screening process itself consists of blinded double reading with arbitration of yielding mammograms by two independent radiology specialists, and the introduction of a third in case of arbitration. Positive findings lead to further diagnostic procedures (ultrasound, targeted mammography) to confirm or rule out malignancy. Primary health centers, hospitals, and regional public health institutes support the existing decentralized screening infrastructure, to ensure a coordinated response for patients requiring follow-up care. Among the most significant advancements in the BC screening program in Serbia has been the integration of centralized electronic health record (EHR) systems. By integrating patient data from various healthcare providers, EHRs - as well as radiology platforms (RIS) - enable medical history and screening results to be made easily accessible, for better care coordination and timely follow-ups. These systems aim to allow standardized screening protocols, which will ensure consistent quality across healthcare facilities. Furthermore, once fully implemented, EHRs should create a digital space for public health officials to analyze screening rates, note trends, and optimize resource allocation accordingly. Patients stand to benefit from access to their health information, reminders for screenings, and educational resources, which should increase participation and improve overall health outcomes. BC management in Serbia stands to be further improved by other technology advancements in both diagnostics and treatment. Artificial intelligence (AI) and machine learning are expanding their roles in analyzing large language models, improving diagnostic precision, and optimizing treatment planning. AI-based algorithms promise to help clinicians identify minute patterns in medical data, resulting in more accurate diagnoses and more tailored, effective treatment strategies. Precision medicine, driven by genomic profiling, enables personalized treatment plans, improving patient outcomes by tailoring therapies to individual genetic markers. Additionally, cutting-edge radiation therapies, such as stereotactic body radiation therapy (SBRT) and proton therapy, reduce collateral damage to healthy tissues. The efforts to combat BC through organized screening, coupled with the integration of advanced technologies and treatment approaches in the future, are - and will continue - improving early detection rates, patient outcomes, and overall public health.
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Sheth, Suraj, and Luís Bettencourt. "The Community Human Development Index (CHDI) as a Precision Public Health Vulnerability Metric and Risk Indicator for Predictive Analytics." In 2023 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2023. http://dx.doi.org/10.1109/sustech57309.2023.10129592.

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Reports on the topic "Precision public health"

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Bonnett, Michaela, Meaghan Kennedy, Odiraa Okala, and Teri Garstka. Precision Public Health: Empowering Communities with Hyperlocal Data for Targeted Interventions and Improved Outcomes. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/sktq6431.

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Background Precision public health is an effective strategy for reaching the last mile in service delivery, but is frequently hampered by its dependence on unattainable data standards and the non-transferability of the solutions designed. This paper proposes a five-part system involving 1) dynamic data governance, 2) hyperlocal community data, 3) data synthesis and analysis, 4) the design and implementation of precision interventions, and 5) correlation between community data and traditional outcome data. Recent studies of community network data have found the connectedness of communities to be positively correlated with community social and environmental outcomes. Taking advantage of hyperlocal community data is therefore a promising approach to improve community outcomes by characterizing and optimizing for greater connectivity. Methods Collection and governance of hyper-local data that is community-owned can be accomplished through such transferable systems as IRIS, a community-led referral network originally designed for multi-sector social and healthcare organizations. Using this data, communities can identify precise areas of intervention through descriptive and network analysis techniques, and design a responsive, community-led intervention. Immersive Innovation Labs, an applied learning approach, is an effective methodology for the adaptive design of innovative precision interventions. This combination of approaches can empower communities and public health professionals. Conclusion The COVID-19 pandemic revealed the impact of chronic understaffing and skills gaps, particularly at the local level. This paper aims to broaden the definition of precision public health as a response, beyond the traditional application that is dependent on big, non-contextual data sources. Reframing precision public health to a methodology dependent on community-owned, ongoing data collection allows the design of hyper-local solutions while shifting the burden of scalability to data collection technology. While challenges in implementation remain, precision is necessary to make public health and communities more responsive and effective in delivering equitable health outcomes and reaching the last mile.
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