Relevant bibliographies by topics / Population at risk

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Population at risk'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Population at risk"

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Hakumura, Naoya. "Future risk in Japanese parents raising children with special needs." Population 26, no. 3 (2023): 144–57. http://dx.doi.org/10.19181/population.2023.26.3.12.

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This paper examines relationships in married couples raising children with special needs — children requiring medical care, from an economic point of view in the context of parental employment. There is an opinion that the burden of parents with children requiring medical care who are close to being a “handicapped child” is so heavy, that the couple’s relationship can be jeopardized. How does the parents’ employment relate to the burden of parenting and how does it affect the couple’s relationship? The research method is a survey of married couples with children throughout Japan (conducted in
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Manuel Keenoy, Esteban, David Monterde, Eduardo Millan, et al. "Population Risk Stratification." International Journal of Integrated Care 19, no. 4 (2019): 470. http://dx.doi.org/10.5334/ijic.s3470.

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Wacholder, Sholom. "Population Risk Measures." Epidemiology 16, no. 4 (2005): 594. http://dx.doi.org/10.1097/01.ede.0000165812.41597.08.

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Greenwood, B. M. "Population at risk." Parasitology Today 6, no. 6 (1990): 188. http://dx.doi.org/10.1016/0169-4758(90)90351-4.

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Verweij, M., and A. Dawson. "Risk, Risk Groups and Population Health." Public Health Ethics 5, no. 3 (2012): 213–15. http://dx.doi.org/10.1093/phe/phs032.

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Cherkashin, Alexander K. "National characteristics of changes in the hazard of development of the COVID-19 coronavirus pandemic: mathematical modeling and statistical analysis." POPULATION 23, no. 3 (2020): 83–95. http://dx.doi.org/10.19181/population.2020.23.3.8.

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The article develops models and methods for calculating quantitative indicators of the response of the national state and society to the hazard of spreading COVID-19 coronavirus infection in different countries. There are used the concepts, models and methods in reliability theory to describe the development of the epidemiological situation with probability functions (possibilities) of no-failure operations (survival, health protection), probability density (distribution) of the failure (infection rates), integrated hazard of infection, failure rate (risk to take ill), acceptable risk, and man
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Ali Abdollahi, Ali Abdollahi. "Risk factors of breast cancer in Iranian female population." International Journal of Scientific Research 2, no. 11 (2012): 391–93. http://dx.doi.org/10.15373/22778179/nov2013/127.

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Kennedy, B. J., Sally A. Bushhouse, and Alan P. Bender. "Minnesota population cancer risk." Cancer 73, no. 3 (1994): 724–29. http://dx.doi.org/10.1002/1097-0142(19940201)73:3<724::aid-cncr2820730337>3.0.co;2-p.

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Scott, Keith G. "Commentary: Individual Risk Prediction, Individual Risk, and Population Risk." Journal of Clinical Child & Adolescent Psychology 32, no. 2 (2003): 243–45. http://dx.doi.org/10.1207/s15374424jccp3202_9.

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Khotkina, Zoya A. "Actual challenges of labor market and their gender implications for employment." POPULATION 23, no. 2 (2020): 136–48. http://dx.doi.org/10.19181/population.2020.23.2.12.

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The main research issues discussed in the article concern the impact of technological and epidemiological challenges on the employment of women and men, as well as the reasons for their asymmetric impact on employees depending on gender. The choice of these two challenges is determined, on the one hand, by their relevance, and on the other, by the fact that, although they are fundamentally different in both character and duration of their impact on the labor market, the consequences of their impact on women’s employment are the same and in both cases lead to job losses. The article shows that
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Dissertations / Theses on the topic "Population at risk"

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Nair, Rasmi Girijavallabhan. "Prostate Cancer in High-Risk Population." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/515699.

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Epidemiology<br>Ph.D.<br>In 2018, the United States Preventive Services Task Force (USPSTF) recommended that African American men and those with a family history of prostate cancer should discuss the pros and cons of PSA testing with their physician and engage in shared decision making. Identifying risk factors of prostate cancer, calculating individualized prediction of the risk of prostate cancer, and ensuring that the patients are well informed with knowledge to understand these risks so as to easily make decisions, are extremely important in shared decision making. The overarching goal of
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Viehoff, Ruth Anna. "Differences in Risk-taking in a Trauma Exposed Population." Cleveland State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=csu1337020755.

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Oliveira, Luís André Simões de Pinho. "Cardiovascular risk factors in a homeless population." Master's thesis, Faculdade de Medicina da Universidade do Porto, 2010. http://hdl.handle.net/10216/62304.

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Hazlerigg, Charles Rupert Edward. "Fish population ecology and ecological risk assessment." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9678.

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Density-dependent processes are crucial in the regulation of fish populations and strongly influence their resilience to exploitation and exposure to toxic chemicals. Multiple density-dependent processes occur at different stages in the life-cycle of fish, and a general pattern of such processes in the ontogeny of fish has been suggested but not clearly demonstrated in natural populations. This thesis aimed to provide a detailed experimental assessment of density-dependent processes through the entire life-cycle, using laboratory and semi-natural populations of zebrafish, Danio rerio, and to e
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Bielby, Jon. "Extinction risk and population declines in amphibians." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/4278.

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This thesis is about understanding the processes that explain the patterns of extinction risk and declines that we see in amphibians, how we can use that understanding to set conservation priorities, and how we can convert those priorities into practical, hands-on research and management. In particular, I focus on the threat posed by the emerging infectious disease, chytridiomycosis, which is caused by the chytrid fungus, Batrachochytrium dendrobatidis (Bd). Amphibians display a non-random pattern of extinction risk, both taxonomically and geographically. In chapter two I investigate the mecha
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Oliveira, Luís André Simões de Pinho. "Cardiovascular risk factors in a homeless population." Dissertação, Faculdade de Medicina da Universidade do Porto, 2010. http://hdl.handle.net/10216/62304.

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Downing, Beatrice Catherine. "Disruption and disease : how does population management affect disease risk in wild bird populations?" Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/29259.

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Despite the ubiquity of wildlife management, from reintroductions and supplemental feeding to culling and habitat destruction, very little is known of the effects of management practices on species’ social dynamics. Species’ social structure has the potential to affect not only behaviour and evolution but also the transmission of information or disease. Understanding the effects of population management on social behaviour and organisation is a key step in understanding these species’ ecology. This thesis examines the differences between individuals’ roles in the social structure and what this
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SAKAMOTO, JUNICHI, KAZBEK TULEBAYEV, YOSHITOKU YOSHIDA, MD HARUN-OR-RASHID, and GULNARA KULKAYEVA. "CARDIOVASCULAR DISEASE RISK FACTORS AMONG RURAL KAZAKH POPULATION." Nagoya University School of Medicine, 2012. http://hdl.handle.net/2237/16022.

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Li, Yangmei. "Risk factors for stroke : a prospective population study." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610708.

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Son, Vladimir. "Multivariate Population Attributable Hazard Function For Right-Censored Data." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380393816.

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Books on the topic "Population at risk"

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R, Munns Wayne, and Sorensen Mary T, eds. Population-level ecological risk assessment. SETAC, 2008.

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Mathur, Ajeet. Communities at risk. University of Tampere, School of Business Administration, 2003.

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Stephan, Kühntopf, Korb Claudia, and Böhm Kathrin, eds. Demographic risk atlas: Facts behind the maps. Klartext Verlag, 2009.

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Allen, Beth. North Dakota's young drivers: A population at risk. The Dept., 1992.

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Edwards, Eric William. Population variation for risk variables in ischaemic heart disease. OxfordPolytechnic, 1992.

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Juusela, Maria. Bronchial Hyperresponsiveness and its Risk Factors in Finnish Adult Population. University of Helsinki, 2012.

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Shi, Peijun, ed. Atlas of Global Change Risk of Population and Economic Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6691-9.

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Tian, Xueyuan, ed. China’s Population Aging and the Risk of ‘Middle-income Trap’. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4941-5.

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P, Leatherman Stephen, ed. Island states at risk: Global climate change, development, and population. Coastal Education & Research Foundation, 1997.

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Philip, Neena M. Population-level HIV risk and combination implementation of HIV services. [publisher not identified], 2020.

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Book chapters on the topic "Population at risk"

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Dammann, Olaf, and Benjamin Smart. "Population Risk." In Causation in Population Health Informatics and Data Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96307-5_6.

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Berkovich, Barbara, and Amy M. Sitapati. "Calculating Risk." In Applied Population Health. Productivity Press, 2019. http://dx.doi.org/10.4324/9780367196714-13.

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Nahler, Gerhard. "population attributable risk." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1079.

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Prior, Pauline M. "The Population at Risk." In Gender and Mental Health. Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-27671-4_3.

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Gómez, Oscar A. "Population Movements and Human Security." In Disaster Risk Reduction. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8852-5_9.

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Wan, Adrian H. Y., and Teresa T. W. Chiu. "Risk Avoidance." In Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_870-1.

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Wan, Adrian H. Y., and Teresa T. W. Chiu. "Risk Avoidance." In Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_870.

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Vitiello, Benedetto, Monica Vichi, Chiara Davico, Silvia Ghirini, and Maurizio Pompili. "Population Density and Suicide Risk." In Suicide Risk Assessment and Prevention. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-42003-1_96.

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Vitiello, Benedetto, Monica Vichi, Chiara Davico, Silvia Ghirini, and Maurizio Pompili. "Population Density and Suicide Risk." In Suicide Risk Assessment and Prevention. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-41319-4_96-1.

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Bayramov, A. "Risk Assessment on Population Health." In Wastewater Reuse–Risk Assessment, Decision-Making and Environmental Security. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6027-4_34.

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Conference papers on the topic "Population at risk"

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Wang, Yu, and Minyi Huang. "Large-Population Risk-Sensitive Linear-Quadratic Optimal Control." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10885924.

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Pi, Jialu, Juan M. Farina, Chieh-Ju Chao, Chadi Ayoub, Reza Arsanjani, and Imon Banerjee. "Mitigating population drift in MACE risk prediction using causal reasoning." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2025. https://doi.org/10.1117/12.3047162.

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Oparaodu, Kingsley, and Ibiba Braide. "Microbiological Profiles and Risk Exposures in Topside Production Systems of FPSOs in West Africa." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-18017.

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Abstract Microbiological risk evaluation of topside systems of four floating production storage and offloading in West Africa was carried out over a period of four years. Field samples were taken, and DNA analyzed using next-generation sequencing technology to identify and classify the microbial population present on the facilities. Several classes of bacteria and archaea were sequenced and identified from the samples, including those that have been shown to play key roles in biofouling, microbiologically influenced corrosion and biogenic hydrogen sulphide generation in oil and gas production
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Wrangham, Jodi B., and Elizabeth J. Summer. "Planktonic Microbial Population Profiles Do Not Accurately Represent Same Location Sessile Population Profiles." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02780.

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Abstract Obtaining representative and accurate microbiological samples often proves challenging in the oil and gas industry. It is common to sample and test fluids (containing planktonic/free-floating microbes) for the detection and enumeration of problematic species, despite the fact that biofilms or sessile (attached to pipe or vessel wall) microbes are those which cause the majority of problems. This practice occurs because many field scenarios do not allow for sessile sampling. Collecting a representative sample is imperative in any microbial monitoring program, as they estimate the possib
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Lebakula, Viswadeep, Clinton Stipek, Daniel Adams, Justin Epting, and Marie Urban. "At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10824999.

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Barros, N., T. Fontes, C. Brás, and L. M. Cunha. "Population exposure to urban highway traffic emissions." In Environmental Health Risk 2005. WIT Press, 2005. http://dx.doi.org/10.2495/ehr050231.

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Nechita, Daniela. "Population - Poverty Relationship and Territorial Development." In International Conference Risk in Contemporary Economy. Dunarea de Jos University of Galati, Romania Faculty of Economics and Business Administration, 2019. http://dx.doi.org/10.35219/rce206705322.

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Orlovsky, N., V. Radzinsky, and L. Orlovsky. "Desertification and population health in the Turkmenistan part of the Aral Sea region." In Environmental Health Risk 2001. WIT Press, 2001. http://dx.doi.org/10.2495/ehr010261.

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Metlyaev, E. G. "Intake of man-made radionuclides due to food consumption by the population of different age groups." In ENVIRONMENTAL HEALTH RISK 2009. WIT Press, 2009. http://dx.doi.org/10.2495/ehr090301.

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Che, Yong, and Jing Wang. "A probe into the causes of population loss in ShanDong province." In Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/wrarm-19.2019.30.

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Reports on the topic "Population at risk"

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Winkler, Richelle (Richelle L. )., and Miranda H. Mockrin. Aging and wildfire risk to communities. U.S. Department of Agriculture, Economic Research Service, 2025. https://doi.org/10.32747/2025.9015828.ers.

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The population of the United States is aging as the Baby Boom generation grows older. In 2020, 23 percent of the U.S. population had reached age 60. The share of the population at older ages is forecast to increase to 26 percent in 2030 and 29 percent in 2050. Wildfire risks are also increasing, and older populations are especially vulnerable. This report found that most (87 percent) of the recent population growth in places with moderate-to-high wildfire risk has been among people over the age of 60. Already, the proportion of older people living in places with more wildfire risk is higher th
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Holland, Renee L. CY2016 HRMC Health Risk Appraisal Summary Report - Employee Population. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1374249.

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MILLS, G. SCOTT, and SIEGLINDE NEUHAUSER. Automation of GIS-Based Population Data-Collection for Transportation Risk Analysis. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/14932.

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Bastian, Elizabeth, Natalie Myers, Charles Ehlschlaeger, and Jeffrey Burkhalter. Quantifying uncertainty in population weighting of Twitter analyses for urban risk assessment. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/34163.

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Kopecky, Joseph, and Alan Taylor. The Murder-Suicide of the Rentier: Population Aging and the Risk Premium. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w26943.

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Chornokur, Ganna. Comprehensive Population-Specific Marker Panel for Early Prostate Cancer Diagnostics and Risk Assessment. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada609950.

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Chornokur, Ganna. Comprehensive Population-Specific Marker Panel for Early Prostate Cancer Diagnostics and Risk Assessment. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613132.

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Arkema, Katie, Allison Bailey, Valeria Chávez Cerón, et al. Estimating and mapping natural hazards and risk reduction provided by coastal ecosystems. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004971.

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We present two case studies in which coastal vulnerability modeling was used to quantify the role those coastal ecosystems play in reducing risk to coastal communities now and with future sea-level rise. These analyses were used to inform post-disaster reconstruction and coastal resilience building efforts as well as climate change adaptation strategies. Our goal is to quantify the role that coastal habitat plays in reducing risk to people and shoreline under current conditions and with future sea level rise (SLR). With SLR, we find that the extent of shoreline most exposed to coastal hazards
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Lally, Clare. COVID-19 and occupational risk. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/rr07.

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Some occupational groups have experienced higher rates of both COVID-19 infections and related deaths. Many people who work within these groups are involved in caring for people or patients that are more likely to be infected, or have otherwise been unable to work from home during the peaks of transmission. Which occupations have been most affected, what factors are contributing to this risk and are some sectors of the population being impacted more than others?
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Glintborg, Dorte, Naja Due Kolster, Pernille Ravn, and Marianne Skovsager Andersen. Prospective risk of type 2 diabetes in normal weight women with polycystic ovary syndrome. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0070.

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Review question / Objective: To investigate the risk for type 2 diabetes (T2D) in normal weight women with PCOS. The following PECOs (Population, Exposure, Comparator and Outcome) were included: Population: Pre- and postmenopausal women. Exposure: PCOS Comparator: Healthy control or background population. Outcome: T2D. Condition being studied: Polycystic ovary syndrome (PCOS) is a common endocrine disorder of reproductive-aged women with a prevalence of 15–20%. Polycystic ovary syndrome (PCOS) is most often defined according to the Rotterdam criteria, which include irregular ovulation, biochem
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