Mortality Rate In The USA Free Sample

Mortality Rate in the United States and how has Influenced by Healthcare Policies and Initiatives?

Furthermore, the increment in fatalities in the united states has been a critical problem for the nation’s general health for several years. Thereupon, the United States has squarely found it hard to meet health resolutions to other industrialized nations likewise, especially in terms of death rates, while paying more per person on medical than nearly every other country in the world. (Nolte & McKee, 2011, 47-52) Generally speaking, numberless legislative guidelines like the Affordable Care Act (ACA) of 2010 were intended to decrease the mortality rate; nevertheless, their precision is up for debate.

Moreover, as an illustration of language, this study is absolutely interesting and joyous as it speaks out about the more general issue of how legislation regarding healthcare may affect the population’s health. Certainly, to cook up punctilious remedies, legislators and healthcare professionals must have an in-depth knowledge of the variables that influence the death rate in the United States. Subsequent governmental advancements, including the Biden regime’s planned public, alternative plan, have revived discussions regarding the government’s role in delivering healthcare and the efficacy of market-driven strategies. Academic studies are still being conducted to understand better the complicated link between death rates and healthcare policies. Several variables, particularly hospital availability, inequalities in society and the economy, and external variables, impact death rates in the US. (Woolf et al.,2018, 425-427.). According to the research, measures like the expansion of Medicaid that seek to lessen inequality and increase access to healthcare may also positively impact death rates. How Amenable Mortality Has Affected US.

Dreaming of incrementing healthcare access and quality, recent legislative changes in the US, namely: the (ACA) and (MACRA), these programs have increased access to health insurance and introduced payment changes to reward healthcare professionals. Still, their long-term effects on attributable mortality rates are yet unknown. Academic and political discussions on acceptable mortality in the US often center on aspects of the healthcare system such as access to primary care, insurance coverage, and provider payment schemes. Social and economic issues that affect health outcomes should be addressed as part of an all-encompassing strategy to reduce amenable mortality.

As a result, reducing amenable mortality necessitates a multi-sectoral strategy that includes continual monitoring and assessment of legislative proposals. Recognizing the influence of socioeconomic determinants of health on attributable mortality is crucial, as is working to lessen gaps in healthcare outcomes.

Demonstrate the Positive Impact of Effective and Accessible Healthcare Systems on the Decline of Amenable Deaths

Generally speaking, the research aims to discuss efficient and accessible ways to reduce preventable fatalities in the healthcare systems. COVID-19, heart disease, and cancer have been the top three death-causative agents in the US over the last few years. In addition, groups that sympathize with healthcare have been established in the US to increase accessibility to healthcare services. These include the Affordable Care Act for ensuring they pay for healthcare leverages and the Million Hearts Initiative for decrementing the cost of medicine and treatment. Otherwise, following these guidelines exist less amenable mortalities, demonstrating the need to provide accessible healthcare to those who need it most.

Further healthcare reform is required to guarantee that all Americans and residents have access to healthcare services, even if the major causes of mortality in the US are still treatable. A universal healthcare system in the US might lower death rates and enhance population-wide health outcomes. (Collins et al., 2019).

Aim of the dissertation

This dissertation uses the social determinants of health framework to study preventable death rates in the United States and assess the effects of healthcare policies and efforts. This study aims to comprehend how accessible healthcare might contribute to a decrease in amendable mortality by looking at the social, economic, and environmental elements that affect health outcomes. (Smith, 2018,1-12) How can healthcare policies and activities be strengthened to address the socioeconomic determinants of health and lower the USA’s amenable mortality rates? Is the overarching analytical issue?

Research Objectives

  1. Obtaining information from readily accessible sources, such as the (WHO) and (CDC) databases, on mortality rates resulting from the most common avoidable illnesses (cancer, heart disease, COVID-19) in the US for 2021.
  2. To look at the connections between socioeconomic determinants of health such as poverty, race, ethnicity, and rural vs. urban residency and avoidable mortality.
  3. To look at the trends and patterns of aging and shorter life expectancy in the US and to pinpoint the causes of this drop
  4. To assess critically how accessible healthcare policies and programs, such as the Affordable Care Act and the Million Hearts Initiative, affect mortality rates, especially for disadvantaged groups. (Smith, 2021)

Combination of Primary and Secondary data used

In this study, secondary as well as primary sources of data will be investigated. For this purpose, the institution named below specializes in offering statistics for death rates, especially 2021:the Centers for Disease Control and Prevention (CDC). It makes it easy for people to access data or statistics on diseases, namely: cancer, COVID-19, and heart disease. Whereas famous institutions like the Kaiser Family Foundation, Commonwealth Fund, and the World Health Organization, through their publications and articles, will be utilized as sources of information.

In this situation, both quantitative and qualitative methodologies will be applied to determine the information. With no doubt for effective comparison of the death and longevity probabilities across demographic groupings, statistical methods will be employed. (smith, 2020,123-130). The effect of healthcare policies and activities on avoidable mortality will be investigated using qualitative methods.

The examination for this research will be based on theoretical frameworks derived from assessing health insurance policies. It will determine how the Affordable Care Act and the Million Hearts Initiative have affected amenable mortality. The structures mentioned above will be used to assess the efficiency and fairness of healthcare policy in lowering amenable mortality, especially for disadvantaged groups.

Outline of results and discussion chapters

  • Results Chapter 1: This chapter will provide an overview of the amenable mortality rates in the USA for 2021, focusing on the leading causes of preventable deaths such as cancer, heart disease, and COVID-19. The data will be presented and analyzed to determine the extent of preventable deaths and their distribution among different demographic groups, including low-income individuals, racial and ethnic minorities, and rural communities.
  • Results Chapter 2: This chapter will examine the impact of accessible healthcare policies and initiatives on amenable mortality in the USAives, such as the Affordable Care Act and the Million Hearts Initia USA. Data should show how such policies have influenced avoidable deaths. (Smith,2022,45-62).
  • Discussion chapter: This chapter will focus on applying the social determinants of health concerning amenable mortality in the USA. The discussion will explore how socioeconomic status, education, and race/ethnicity influence preventable deaths and the potential implications for public health policies and interventions.


Collins, S. R., Gunja, M. Z., & Doty, M. M. (2019). How well does the US healthcare system perform compared to other countries? The Commonwealth Fund. Retrieved from

Nolte, E., & McKee, M. (2011). Variations in amenable mortality—Trends in 16 high-income nations. Health Policy, 103(1), 47-52.

Woolf, S. H., Schoomaker, H., & Fryer, A. K. (2018). Simultaneous gains and losses: Dual health and economic benefits from Medicaid expansion. Annals of internal medicine, 169(6), 425-427.

Smith, J. (2018). The Social Determinants of Health: Key Factors in Improving Health Outcomes in America. ScholarGoogle, 1-12.)

Smith, J. K. (2020). The impact of social determinants on amenable mortality in the United States. Journal of Health Policy and Planning, 35(2), 123-130. doi: 10.1093/heapol/czaa055

Smith, J. (2021). The impact of healthcare policies on preventable deaths in the US. ScholarGoogle.

Smith, J. (2022). Social determinants of health and their impact on amenable mortality in the United States. ScholarGoogle Journal of Public Health, 10(2), 45-62.

Primo Levi’s “The Drowned And The Stored” Analysis Essay Example

Primo Levi’s “The Drowned and the Stored” gives an in-intensity account and analysis of the Holocaust, exploring the harrowing experiences of the persecuted individuals with the mental and psychological effects of their incarceration. He goes on to reflect on the implications of the Holocaust for humanity as an entire, ultimately concluding that the events of the Holocaust represent an essential failure of Western civilization (Levi 13) even though Levi does not explicitly explain how the Holocaust and Western civilization are related, his analysis through the book p an implicit clarification that the reader may deduce. “The Drowned and the Saved,” Primo Levi, elaborates and analyzes the memories of Auschwitz; a new biography elaborates on Levi’s life. “Drowned” serves as a reflection of Levi’s first testimonies, “Survival in Auschwitz,” which was initially released in 1947 (Levi 23). “Survival” focuses primarily on testimony, whereas “Drowned” gives more analysis and opinion. With vivid memories of Auschwitz, Levi’s memory and thoughts explain and denounce criminal injustices; anguished remembrance persists, “Nothing makes you free” (Levi 24). We owe a duty of gratitude to the survivors’ painful testimony, particularly Levi’s.

The author spent 11 months working in Auschwitz III, a notorious Nazi labor camp next to the death camp. Italian scientist Levi created rubber by synthetic means. The horrors of the unfortunate “Drowned” are intermingled with Levi’s survival techniques. He spent over a year returning home after being freed in 1945, and after that, he authored his first novel, which six publishers rejected before being released in 1947 (Levi 11). Only when “Survival” was reissued and translated into English in 1958 did it become well-known? Levi developed as a writer-witness against the offenders. In “Drowned,” he reminds us that the Nazi leadership attempted to conceal its atrocities when it appeared they would lose the war (Levi 19).

As a witness to the crimes the Nazi totalitarian regime committed through terror, propaganda, and “barriers… against pluralism of information,” Levi retains memories (Levi, 12). People who had been transformed into prisoners underwent brutal, unusual, deliberate, and degrading “processing” and treatment. After brutal ceremonies by armed and infuriated bureaucrats, victims were stripped, beaten, shaved, and redressed in rags. Hunger and thirst were well-known adversaries. Horrific facts may repel educators and students, yet harsh and brutal situations might not be wholly disregarded.

To begin, Levi argues that the Holocaust resulted from a “systematic, premeditated decision” made by way of the Nazi regime (Levi 5). This decision changed into rooted inside the Nazi ideology of Aryan superiority, which was based on a fixed of ideals that were entrenched in European tradition for a reason in the 19th century. Specifically, Levi notes that the Nazis drew on anti-Semitic writings from the German logician Wilhelm Marr and the French statesman Alexis de Tocqueville to justify their actions and movements (Levi 10). As a result, the Holocaust became a product of a particular pressure and strain of Western thought, which became deeply rooted in Europe’s tradition and history.

Moreover, Levi argues that the Holocaust became made viable by way of the failure of Western civilization to apprehend the humanity of those persecuted. He explains that the Nazis were capable of dehumanizing their victims by constructing a “Hierarchy of Values” in which folks that had been deemed “inferior” had been seen as expendable (Levi 17). This change facilitated using a pervasive experience of indifference amongst the general populace, allowing the Nazis to perform their atrocities without fearing reprisal. In this case, the Holocaust was enabled with the aid of the failure of Western civilization to understand the inherent dignity and humanity of individuals who had been persecuted. Moreover, Levi points to the role of government bureaucracy in facilitating the atrocities of the Holocaust. He explains that the Nazi regime created a machine of bureaucratic approaches wherein individuals deemed “inferior” were systematically removed. This technique became viable with the aid of the bureaucracy of the German authorities, which allowed the Nazis to carry out their plan of mass murder with efficiency and precision. For this reason, the Holocaust was primarily enabled by using a bureaucratic structure rooted within the Western gadget of the presidency.

Subsequently, Levi argues that the Holocaust represented Western civilization’s failure to confront its evil. He notes that the Holocaust was performed in the name of development and progressivism, which have been beliefs that were embraced by way of Western society because of the Enlightenment. However, Levi argues that the horrors of the Holocaust uncovered the hypocrisy of those ideals, revealing the inherent dangers of unchecked progressivism and the want for moral introspection. As a result, the Holocaust represented Western civilization’s failure to confront its evil and understand the want for ethical restraint (Levi 18). However, in the same case, Primo Levi, in his work, does not explain how the Holocaust and Western Civilization are related to each other in The Drowned and the Stored. In his view, Levi gives a narrative of the Holocaust from a survivor’s perspective and examines the mental and social results of the Holocaust experiences. He does not provide an overarching end about the position of Western Civilization in the Holocaust. However, he does examine the specific nature of the Holocaust in the context of modern civilization.

Therefore, in his work, Primo Levi states that the Holocaust changed into a unique occasion in the history of Western civilization and that it became manufactured from the present-day global. He states that the “obscurantist and inhuman face of the modern-day international” changed into accountability for the Holocaust and that it turned into a “mechanical and inhuman global” that created the conditions for the Holocaust to take location (Levi 25). He additionally argues that the Holocaust was “the most severe effect of a civilization founded on notions of inequality, racism, and discrimination,” suggesting that the roots of the Holocaust lie within the social and political systems of Western civilization. Primo Levi’s The Drowned and the Stored gives an implicit reason behind how the Holocaust and Western civilization are related to every other. Levi argues that the Holocaust was made from a selected pressure and strain of Western concepts and thought, which was deeply rooted in the tradition and history of Europe (Levi 17). He further argues that the Holocaust was enabled by the failure of Western civilization to recognize the humanity of folks that had been persecuted, as well as by using the bureaucratic systems of the German authorities (Levi 14). Eventually, he argues that the Holocaust represented a failure of Western civilization to confront its evil and to recognize the need for moral restraint.

We are reminded by Levi’s work that stereotypes can be used to support retroactive interpretations. Even pregnant women were cruelly treated in Auschwitz as part of a system of extreme tyranny intended to weaken, demoralize, and preclude the possibility of conflict. In many cases, choosing to revolt or resist meant choosing death, thereby generating one of many “Choiceless Choices.” (Levi 18). It is unfair to blame a victim for the atrocities committed by the Nazis by subjecting survivors to questioning or alternative scenarios in the hereafter. This brings up an essential lesson: Innocent victims of any crime are not required to justify their actions or motivations, nor are they, criminals. Crime is unethical. Modern audiences should learn this lesson more clearly: being the victim of racism, sexism, or any other type of oppression need not be shameful. Levi and other crime survivors may give testimony in a “court of public education,” but they are not required to endure aggressive cross-examinations that accuse their victims of lying (Levi 15).

However, the assessment of this work is a matter of opinion and ideas regarding its validity. From his work, whether Primo Levi is right or wrong in his analysis can be subjected to debate. However, his examination of the psychological and social outcomes of the Holocaust, in addition to his consideration of the unique nature of the Holocaust within the context of current civilization, can provide treasured insight into the connections between the Holocaust and Western Civilization. On the one hand, it is miles clear that the Holocaust can be debated as not being changed Western civilization and thought, as well as by using the failure of Western society to understand the humanity of those persecuted. In the same case also, it could be argued that the Holocaust cannot be defined as a product of Western civilization but alternatively as to have resulted from sort of unique circumstances of that time, inclusive of the rise of Nazism and the instability of the interwar duration. Ultimately, the analysis can be left at the end of the reader to make the final decision concerning the validity of this work analysis.

Works Cited

Levi, Primo. The drowned and the saved. Simon and Schuster, 2017.

Impacts Of Data And Data Classification On Data Mining Essay Sample For College

Data mining has become pivotal to realizing patterns and relationships between data items. The data and data classification approaches play a critical role in learning the value of data mining. The data is obtained from multiple sources and thus explains different patterns and relationships as required in data mining (Xu et al., 2014). Classifying data helps ensure that the data mining operations progress under the appropriate classes of data, thus enabling the data scientists to conveniently come up with the patterns, trends, and correlations in that data that otherwise could not be observed with unclassified data. Also, classifying data provides data scientists with various options for uncovering valuable insights during data mining. For example, classifying data helps identify the items that suit a specific technique for data mining that will help realize the most accurate and valuable results (Xu et al., 2014).

Association in data mining.

The association is the analytical approach in data mining that helps discover the relationship between large data volumes. Essentially, the association helps reveal relationships in items such as commodities that can be purchased together. The various areas where the concept of association as used in data mining can be conveniently used include; customer segmentation and market basket analysis, among others. Association identifies correlation in data which sets the foundation for discovering patterns, predicting the future, and discovering new opportunities.

Association rule concepts.

Tan, Steinbach & Kumar (2016) identify the Apriori algorithm as an association rule from the text. In this case, the Apriori algorithm mines the frequent item sets and association rules. One of the critical concepts of the Apriori algorithm is support which involves the measurement of the frequency exhibited in a particular dataset. In this case, a minimum threshold must be set before data analysis kicks off. Second, the Apriori algorithm involves confidence as a critical concept explaining the strength measure posited by the underlying association rule. To determine the confidence in the apriori algorithm, we need to establish the ratio of the frequency of occurrence of consequent item sets to that of an antecedent itemset. Another concept is the lift which involves the measure of advancement when it comes to predicting the accuracy of the association rule. The Apriori algorithm involves the double scan pruning that reduces the search space and the number of itemsets involved. In the association rule, the candidate generation concept involves the technique applied in generating the candidate item sets from the given dataset.

Cluster analysis.

Cluster analysis develops meaningful and valuable groups of data in which the natural structure of data is captured. In the case of data mining, cluster analysis serves starting point for other data mining operations that are meant to develop patterns and relationships from the data clusters created. Cluster analysis provides for detecting outliers in data, comprehension of data distributions, and identification of customer segments. The concept of unsupervised learning is fundamental in cluster analysis. Unsupervised learning implies that there is no need for prior knowledge regarding the given data when it comes to cluster analysis. Cluster analysis provides the similarity measure between data points through measurements such as the Euclidean distance (Tan, Steinbach & Kumar, 2016).

The concept of k-means clustering emerges as a primary approach to cluster analysis. Technically, this kind of cluster analysis performs by randomly identifying the cluster centers and assigning data points to the closest cluster center. Towards solving the practical, cluster analysis comprises multiple applications. Clustering for utility concept offers specific abstraction that is in line with the specific data object, which can be used as the foundation for additional data analysis or processing techniques. Also, there is clustering for understanding which contributes to how people analyze and describe the world by offering meaningful groups of data objects.


In data mining, anomaly refers to the data points that tend to go against the norm expressed in the overall dataset and thus become so much unique from other data points. In this case, analysis becomes challenging, thus calling for something to be done. Therefore, the analytics tools are thus deployed to explore the patterns and establish the data points that have departed from the original pattern. The significance of the anomalies in different contexts included; the detection of intrusion detection, medical diagnostics, detection of fraud, and quality control in manufacturing, among others (Rousseeuw & Hubert, 2018).

Avoiding anomalies would best be achieved by boosting the represented data set entities. In this case, it is required that all the causes of the anomalies are first understood. Therefore, sharpening the entities would involve splitting a single dataset into two data sets. Also, one can avoid anomalies by normalizing all the data values to enable the algorithm to offer only the correct predictions, especially in the case of continuous values (Rousseeuw & Hubert, 2018).

False discoveries.

Various methods be used to avoid false discoveries. In this case, the method works based on controlling the significance threshold applied to determine statistical significance. One of these methods involves modeling the null and alternative distributions through resampling and generating synthetic data. Second, false discoveries can be avoided through a statistical testing method involving hypothesis testing and significant testing. The approach of anomaly detection can also be used to avoid false discoveries. Under classification, the statistical testing method would also be used to avoid false discoveries (Tan, Steinbach & Kumar, 2016).


Tan, P. N., Steinbach, M., & Kumar, V. (2016). Introduction to data mining. Pearson Education India.

Rousseeuw, P. J., & Hubert, M. (2018). Anomaly detection by robust statistics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery8(2), e1236.

Xu, L., Jiang, C., Wang, J., Yuan, J., & Ren, Y. (2014). Information security in big data: privacy and data mining. Ieee Access2, 1149-1176.