Relevant bibliographies by topics / Disease management

Academic literature on the topic 'Disease management'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Disease management"

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Jagota, Roma. "Homoeopathic Management of Meniere's Disease." International Journal of Science and Research (IJSR) 13, no. 7 (July 5, 2024): 895–96. http://dx.doi.org/10.21275/sr24717175319.

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Zinkernagel, V., H. Hausladen, and H. Habermeyer. "Practical application of integrated disease management." Plant Protection Science 38, SI 1 - 6th Conf EFPP 2002 (January 1, 2002): 212–20. http://dx.doi.org/10.17221/10358-pps.

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A decision support system for cereal diseases and late blight of potatoes has been developed at the Chair of Phytopathology,<br />Technische Universität München. The Wheat and Barley Prognosis System has been in use for many years by the<br />Bavarian official advisory service. It is based on an exact diagnosis and established biological thresholds influenced by<br />weather. Certain fungicides are recommended also covering diseases which have not reached the threshold. Diseases under<br />consideration are eye spot disease, powdery mildew, Septoria leaf blotch, Septoria leaf and glume blotch, tan spot, brown<br />and yellow rusts.The PhytophthoraModel Weihenstephan consists of two parts, weather based prognosis and monitoring in<br />the unsprayed control plots. Spraying recommendations are given based on the results of the above-mentioned parts and<br />considering cultivar behaviour and blight development in the field. The first spraying in the season as well as the timing<br />of the following ones are crucial. This model does not give any recommendations regarding which active ingredient should<br />applied. However there is a distinction made with regard to contact (protective) fungicides and systemic fungicides. The<br />PhytophthoraModel Weihenstephan has been in use for several years in Germany as well as in Austria.
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Kesteloot, Katrien. "DISEASE MANAGEMENT." International Journal of Technology Assessment in Health Care 15, no. 3 (July 1999): 506–19. http://dx.doi.org/10.1017/s0266462399015366.

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Recently, many disease management programs, especially for patients with chronic diseases, have emerged. This paper discusses the potential benefits and disadvantages of disease management, on the basis of an extensive literature review. Disease management is an innovative technology in health care management, which is diffusing throughout the health care system without critical evaluation. Evidence on its effectiveness and costs is still very scarce, while the legal, ethical, organizational, and social implications of this practice have not been analyzed seriously. Before disease management is implemented on a broader scale in different European settings, first, empirical evidence about its alleged benefits and cost-effectiveness should be collected.
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Shabir, Morgan. "Cognitive impairment in Parkinson’s disease: Multidisciplinary Symposium Clinical Management of Parkinson’s disease." Neuroscience and Neurological Surgery 1, no. 3 (August 10, 2017): 01–03. http://dx.doi.org/10.31579/2578-8868/022.

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People with Parkinson’s disease (PD) and their care partners frequently report cognitive decline as one of their greatest concerns. Mild cognitive impairment affects approximately 20–50% of people with PD, and longitudinal studies reveal dementia in up to 80% of PD. Through the Parkinson’s Disease Foundation Community Choice Research Award Program, the PD community identified maintaining cognitive function as one of their major unmet needs. In response, a working group of experts across multiple disciplines was organized to evaluate the unmet needs, current challenges, and future opportunities related to cognitive impairment in PD. Specific conference goals included defining the current state in the field and gaps regarding cognitive issues in PD from patient, care partner, and healthcare professional viewpoints; discussing non-pharmacological interventions to help maintain cognitive function; forming recommendations for what people with PD can do at all disease stages to maintain cognitive health; and proposing ideas for how healthcare professionals can approach cognitive changes in PD. This paper summarizes the discussions of the conference, first by addressing what is currently known about cognitive dysfunction in PD and discussing several non-pharmacological interventions that are often suggested to people with PD. Second, based on the conference discussions, we provide considerations for people with PD for maintaining cognitive health and for healthcare professionals and care partners when working with people with PD experiencing cognitive impairment. Furthermore, we highlight key issues and knowledge gaps that need to be addressed in order to advance research in cognition in PD and improve clinical care.
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N.I., Zakirova. "MANAGEMENT OF PREGNANT WOMEN WITH THYROID DISEASE." Frontline Medical Sciences and Pharmaceutical Journal 02, no. 03 (March 1, 2022): 122–27. http://dx.doi.org/10.37547/medical-fmspj-02-03-13.

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The course of pregnancy, thyroid status, hormonal levels were studied in 96 women with autoimmune thyroiditis (AIT). It was found that pregnant women have a number of complications (54.8%) from the mother and the fetus, AIT has an unfavorable effect on the course of pregnancy, there is a high risk of miscarriage and termination of pregnancy, there is a decrease in the level of thyroid hormones and an increase in the level of TSH in comparison with similar indicators of healthy pregnant women. For the prevention of complications of gestation and prematurity of pregnancy in women with AIT, a planned determination of TSH blood from early gestation is recommended.
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Lazak, Fatima Zahae, and Redoune Moutj. "EPIDEMIOLOGICAL AND THERAPEUTIC PERSPECTIVES IN DISEASE MANAGEMENT." International Journal of Prevention Practice and Research 02, no. 03 (May 4, 2022): 01–05. http://dx.doi.org/10.55640/medscience-abcd614.

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This paper explores the epidemiological landscape and therapeutic interventions related to a specific health concern. Epidemiological studies provide a comprehensive overview of the prevalence, incidence, risk factors, and patterns of this health issue across diverse populations. The discussion delves into the multifaceted nature of epidemiological research, elucidating the role of various factors—genetic, environmental, social, and behavioral—in influencing disease dynamics. Moreover, this paper analyzes therapeutic strategies, encompassing both traditional and innovative approaches, aiming to mitigate the burden of the health concern. Emphasis is placed on evidence-based interventions, advancements in treatment modalities, and their efficacy in improving patient outcomes. The synthesis of epidemiological data with therapeutic interventions forms a critical nexus in shaping public health policies, clinical practices, and future research directions, ultimately contributing to enhanced healthcare delivery and disease management. The interplay between epidemiology and therapeutics is critical in understanding and addressing the dynamics of diseases. Epidemiological studies elucidate the patterns, causes, and risk factors of diseases within populations, providing essential insights into disease transmission, prevalence, and impact. Concurrently, therapeutic interventions aim to alleviate, manage, or eradicate diseases through various modalities such as pharmaceuticals, lifestyle modifications, and behavioral interventions. This abstract explores the intricate relationship between epidemiology and therapeutics, emphasizing their roles in disease prevention, treatment strategies, and public health initiatives. Understanding the epidemiological landscape informs the development and implementation of effective therapeutic approaches, ultimately contributing to improved health outcomes and disease control within communities and globally
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Epstein, Robert S., and Margaret G. McGlynn. "Disease Management." Disease Management & Health Outcomes 1, no. 1 (January 1997): 3–10. http://dx.doi.org/10.2165/00115677-199701010-00002.

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Harris, John M. "Disease Management." Disease Management & Health Outcomes 1, no. 1 (January 1997): 11–16. http://dx.doi.org/10.2165/00115677-199701010-00003.

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Todd, Warren E., John H. Eichert, and Michael R. Toscani. "Disease Management." Disease Management & Health Outcomes 1, no. 1 (January 1997): 26–33. http://dx.doi.org/10.2165/00115677-199701010-00005.

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&NA;. "Disease Management." Disease Management & Health Outcomes 2, no. 5 (November 1997): 264. http://dx.doi.org/10.2165/00115677-199702050-00011.

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Dissertations / Theses on the topic "Disease management"

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Philips, L. G. "Disease management in chronic kidney disease /." abstract and full text PDF (free order & download UNR users only), 2005. http://0-wwwlib.umi.com.innopac.library.unr.edu/dissertations/fullcit/1430446.

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Thesis (M.B.A.)--University of Nevada, Reno, 2005.
"May, 2005." Includes bibliographical references (leaves 92-97). Online version available on the World Wide Web. Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2005]. 1 microfilm reel ; 35 mm.
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Murphy, Sean Michael. "Disease management and latent choices." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Dissertations/Summer2008/S_Murphy_062608.pdf.

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Leslie, Wilma S. "Weight management and chronic disease." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1300/.

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Abstract Background: Obesity, in addition to being a serious condition in its own right, is causally associated with many chronic non-communicable diseases, and its prevention, identification and treatment is a public health priority. Results: The main findings of the present thesis were that 1) many drugs, used in the management of chronic disease, have an adverse effect on body weight with weight change of +10kg observed as a real side effect of some. 2) Identification and management of obesity is not a formal part of current practice in many secondary care clinics. While acknowledging the adverse health effects of obesity within their specialist areas, clinicians felt under-skilled and insufficiently resourced to provide effective management. 3) Improvements in iron status in pre-menopausal women can be achieved during weight loss, using eating plans that either include or exclude red meat. The data while in-conclusive suggest that a diet including red meat may confer greater benefits on iron status. Discussion: Weight gain is an adverse effect of many drugs used to treat chronic diseases. This should be discussed with patients prior to treatment and advice provided on how to avoid or minimise weight gain. NHS secondary care consultants are concerned about obesity and its impact on their patient’s health. Most have no weight management strategy and would like one. This will require additional training and resources. Excluding red meat did not adversely affect iron status in pre-menopausal women. A larger study is required for definitive health promotion advice. Conclusion: Pharmacotherapy is a significant factor in the rising prevalence of obesity. Weight management is not an integral part of patient care in secondary care clinic settings. The exclusion of red meat during weight management does not compromise iron status in pre-menopausal women with low iron stores.
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Joshi, S., and David L. Wood. "Telementoring for Chronic Disease Management." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/5165.

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Biati, Raquel Marie. "Chronic Disease Self-Management Program." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2598.

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The World Health Organization noted that 2 global health problems have reached epidemic proportions: obesity and type 2 diabetes. These conditions affect nearly 170 million people worldwide. The clinical practice problem addressed by this project was the prevalence of adults ages 50 and older in an ambulatory care setting who suffer from obesity and diabetes and may benefit from a tailored weight management and nutrition education intervention. The purpose of this project was to design a program that would decrease body mass index and hemoglobin A1c in older patients through adaption of the Chronic Disease Self-Management Program. The evidence supporting this project was obtained through a systematic literature review. The self-efficacy theory guided the project, and the evidence-based practice model used to plan the translation of the evidence into practice was the plan-do-check/study-act cycle, a continuous process improvement model used in many health care settings. The product of the project was an education intervention implementation plan that will be agreed upon by the project team and tracked using a Gantt chart. The program's effectiveness will be evaluated by analyzing the themes of qualitative feedback from patients who complete the program and through comparisons using t test statistics of body mass index and A1c that will be collected at 12 weeks and 12 months after the program start. The social change expected of this program, when implemented, is an increase in patients' engagement in and self-management of their care and a more trusting relationship among patients and the health care team. The recommendations from this project also may be useful in addressing health disparities often experienced by patients suffering from obesity and diabetes.
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Kirsch, Florian [Verfasser]. "Economic aspects of disease management programs in chronic diseases / Florian Kirsch." München : Verlag Dr. Hut, 2018. http://d-nb.info/1164293648/34.

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Dubey, Anil Kumar 1967. "DMA : a diabetes disease management system." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28582.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2003.
Includes bibliographical references (p. 40-44).
There is a clear and present need to improve the quality of diabetes care. Information technology can be used as a means to that end. In this article, we discuss the design and implementation of a web-based diabetes application. We show the role of modeling clinical workflow in the design philosophy of our application, and summarize our application's features and usage. Next, we describe observations made during and after design and implementation, and how they relate to the informatics literature. Finally, we elaborate on the paradigm of feedback control systems, its parallels with the design philosophy of our application, and its use as an organizational framework for the roles of information technology in diabetes care.
by Anil Kumar Dubey.
S.M.
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Nelson, Merritt, Larry J. Stowell, and Tom Orum. "Analyses of Virus Disease Management Programs." College of Agriculture, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/214494.

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Barach, Ilana. "Disease Management and Psychosocial and Health Outcomes in Pediatric Sickle Cell Disease." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337716279.

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Davies, Helen Elizabeth. "Investigation and management of malignant pleural disease." Thesis, St George's, University of London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546774.

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Books on the topic "Disease management"

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C, Lilley Roy, ed. Disease management. Chichester: Wiley, 1998.

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Suri, Jasjit S., Chirinjeev Kathuria, and Filippo Molinari, eds. Atherosclerosis Disease Management. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7222-4.

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Kumar, Manoj, Vivek Kumar, Neera Bhalla-Sarin, and Ajit Varma, eds. Lychee Disease Management. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4247-8.

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Nuovo, Jim. Chronic Disease Management. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-49369-5.

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Suri, Jasjit S., Chirinjeev Kathuria, and Filippo Molinari. Atherosclerosis disease management. New York: Springer, 2011.

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LLC, National Health Information, ed. Heart disease: Disease management strategies & programs. Atlanta, GA: National Health Information, 2005.

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Resources, Inc Decision. The disease management monitor: Pharmaceutical industry disease management database 1996. Waltham, Mass: Decision Resources, 1997.

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service), SpringerLink (Online, ed. Self Management of Chronic Disease: Alzheimer’s Disease. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Rudgard, S. A., A. C. Maddison, and T. Andebrhan, eds. Disease Management in Cocoa. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2126-2.

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Schilsky, Michael L., ed. Management of Wilson Disease. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91527-2.

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Book chapters on the topic "Disease management"

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Muñoz, Melissa, Elizabeth Cieniewicz, and James E. Faust. "Diseases and disease management." In Cut flowers and foliages, 258–315. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247602.0006.

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Abstract This chapter describes the general principles of disease management that apply to all pathogens, followed by a detailed description of the major pathogens, which fall into 4 broad categories, i.e. fungi/oomycetes, bacteria/phytoplasma, viruses and nematodes. The most important diseases of cut flowers, their causal microorganisms, symptoms and signs, epidemiology and management practices are addressed and organized by the primary tissues affected.
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Singh Saharan, Govind, Naresh Mehta, and Prabhu Dayal Meena. "Disease Management." In Alternaria Diseases of Crucifers: Biology, Ecology and Disease Management, 239–72. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0021-8_11.

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Saharan, Govind Singh, Prithwi Raj Verma, Prabhu Dayal Meena, and Arvind Kumar. "Disease Management." In White Rust of Crucifers: Biology, Ecology and Management, 203–15. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1792-3_13.

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Saharan, Govind Singh, Naresh Mehta, and Prabhu Dayal Meena. "Disease Management." In Downy Mildew Disease of Crucifers: Biology, Ecology and Disease Management, 285–308. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7500-1_13.

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Nolte, Ellen. "Disease Management." In Handbook Integrated Care, 73–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56103-5_5.

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Saharan, Govind Singh, Naresh K. Mehta, and Prabhu Dayal Meena. "Disease Management." In Powdery Mildew Disease of Crucifers: Biology, Ecology and Disease Management, 297–321. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9853-7_8.

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Prapavessis, Harry. "Disease Management." In Encyclopedia of Behavioral Medicine, 674–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1123.

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Upchurch Sweeney, C. Renn, J. Rick Turner, J. Rick Turner, Chad Barrett, Ana Victoria Soto, William Whang, Carolyn Korbel, et al. "Disease Management." In Encyclopedia of Behavioral Medicine, 603–5. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1123.

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Hamuryudan, Vedat, Ina Kötter, and Hasan Tüzün. "Disease Management." In Behçet Syndrome, 279–305. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24131-5_20.

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Nolte, Phillip, Jeff Miller, Kasia M. Duellman, Amanda J. Gevens, and Eugenia Banks. "Disease Management." In Potato Production Systems, 203–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39157-7_9.

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Conference papers on the topic "Disease management"

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Angius, Federica. "IBS management: the complex role of dietary fibres." In Digestive Disease Week 2023, edited by Rachel Giles. Baarn, the Netherlands: Medicom Medical Publishers, 2023. http://dx.doi.org/10.55788/18b0feb1.

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"Skin Disease Classification Using Deep Learning CNN." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/ngnt7820/ngcesi23p151.

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Skin disease is one of the large numbers of spread diseases in the world. Its diagnoses are very difficult because of its difficulties in the skin texture, presence of hair on skin and colour. Thus, it is required to develop an efficient method for the diagnosis of skin disease based on deep learning in order to increase the accuracy of diagnosis for different skin types. Now a days, deep learning techniques are more popular in medical diagnosis system. This work focuses on skin disease prediction using deep learning technique. For the implementation, the dataset used for the skin disease prediction is the ISIC dataset with 9 category of skin diseases. For the classification, the deep learning algorithm used is Visual Geometry Group 19 (VGG 19). VGG 19 is a pretrained neural network, which can be used for the detection of skin disease detection using the concept of transfer learning. For that the neural network extracts image features from the skin images. The extracted features are used for the detection of skin disease within the 7 classes of skin diseases.
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P., Deepthi, Dhinakaran M., and Yoganapriya R. "Fruit Disease Detection Using Image Processing." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/bfbm3617/ngcesi23p87.

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Nowadays, production of mango fruit decreases because of climatic conditions and environmental concerns like heavy rain, high humidity, reduction in soil nutrients, diversity of associated diseases and disorder problems. Typically, the detection of mango Plant diseases is done by naked eye observation, which provides less accuracy. Low productivity of mango fruit is due to the various diseases affecting mango plants which are not recognized by the farmers as they are illiterate. This paper holds a survey on fruit disease detection using image processing techniques. DIP is a fast and accurate technique for detection of diseases in fruits. Identification and classification of diseases of fruits are done through various algorithms. This paper is fruit disease identification and classification techniques used by different authors. Techniques include clustering and CBS, ANN and different classifiers-based classification of diseases. The main focus of our work is obtaining the analysis of different fruit diseases detection techniques and also provides an overview of these techniques. All the work is done using Python and supporting libraries.
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Lipps, Patrick E. "Integrated Wheat Disease Management." In Proceedings of the 1992 Crop Production and Protection Conference. Iowa State University, Digital Press, 1995. http://dx.doi.org/10.31274/icm-180809-488.

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Liu, Renxuan, and Duan Wu. "Re-establishing the balance: A New Community-based Chronic Disease Management Service Model in China." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003492.

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As China's aging process accelerates, chronic diseases such as diabetes and high blood pressure gradually become hidden dangers that endanger the health of the elderly. Based on this, China has formulated a hierarchical medical system for chronic diseases and proposed a community-based chronic disease management plan. However, there are some problems, such as insufficient service resources and unreasonable satisfaction of patients' needs in the actual implementation process. Based on the Kano model, this study analyzes the demands of patients with chronic diseases in the Chinese community at this stage. It matches their existing service subjects according to the priority of demands and then constructs a community-based chronic disease management service model. This study aims to accurately identify the demands of patients with chronic diseases, redistribute and reuse existing facilities and resources, and balance the supply and demand relationship among service subjects and patients. It can provide more humane health management services for chronic disease patients in the community context.
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Guillen, Sergio G., Pilar Sala, Joerg Habetha, Ralf Schmidt, and Maria-Teresa Arredondo. "Innovative Concepts for Prevention and Disease Management of Cardiovascular Diseases." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259449.

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Guillen, Sergio G., Pilar Sala, Joerg Habetha, Ralf Schmidt, and Maria-Teresa Arredondo. "Innovative Concepts for Prevention and Disease Management of Cardiovascular Diseases." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397420.

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Dongre, Deepak, and Ela Dongre. "Mobile multi disease management platform." In 2012 International Conference on Green Technologies (ICGT). IEEE, 2012. http://dx.doi.org/10.1109/icgt.2012.6477941.

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Abhishek, Abhishek. "SP0008 MANAGEMENT OF CPPD DISEASE." In Annual European Congress of Rheumatology, EULAR 2019, Madrid, 12–15 June 2019. BMJ Publishing Group Ltd and European League Against Rheumatism, 2019. http://dx.doi.org/10.1136/annrheumdis-2019-eular.8410.

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Kulkarni, Raghottam Ramesh, and A. V. Sutagundar. "Plant leaf disease management system." In 2017 International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2017. http://dx.doi.org/10.1109/iccmc.2017.8282581.

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Reports on the topic "Disease management"

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Wise, Kiersten, and Purdue Extension. Corn Disease Management: Tar Spot. United States: Crop Protection Netework, February 2019. http://dx.doi.org/10.31274/cpn-20190620-008.

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Pilcher, Carol, Martin Chilvers, Travis Faske, Andrew Friskop, Alyssa Koehler, Darren Mueller, Adam Sisson, Darcy Telenko, Albert Tenuta, and Kiersten Wise. Biopesticides for Crop Disease Management. United States: Crop Protection Network, September 2023. http://dx.doi.org/10.31274/cpn-20230919-0.

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Quinn, James M. Call-Center Based Disease Management of Pediatric Asthmatics. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada429099.

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Paskaran, S., M. LeBlanc, S. Petrie, and P. Peters. Infographic: eHealth Chronic Disease Management for Older Adults. Spatial Determinants of Health Lab, Carleton University, November 2019. http://dx.doi.org/10.22215/sdhlab/kt/2019.5.

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Dickerman, Joel L. Chronic Disease Management in Family Practice: Clinical Note. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada364106.

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Malvick, Dean, Tamra Jackson-Ziems, and Alison Robertson. Corn Disease Management: Goss’s Bacterial Wilt and Blight. United States: Crop Protection Netework, August 2018. http://dx.doi.org/10.31274/cpn-20190620-003.

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Webb, Jonathan R. The Implications of Healthcare Utilization of Diabetes Disease Management. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada493521.

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Wise, Kiersten, Marin Brewer, Carl Bradley, Daren Mueller, Adam Sisson, Albert Tenuta, Tom Allen, et al. Fungicides are More Than a Plant Disease Management Tool. United States of America: Crop Protection Netework, October 2021. http://dx.doi.org/10.31274/cpn-20211011-000.

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Langston, David B., and Hillary L. Mehl. Applied Research on Field Crop Disease & Nematode Management 2020. Blacksburg, VA: Virginia Cooperative Extension, January 2021. http://dx.doi.org/10.21061/spes-296np.

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Worsham, Maria J., Usha Raju, Gary Chase, and Mei Lu. Molecular Differentiation of Risk for Disease Progression: Delineating Stage-Specific Therapeutic Targets for Disease Management in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada432140.

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