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You may have 5 pages of writing. Tables and figures are not included in your page count.
What to include:
Title Page and Table of Contents
Introduction: What is your paper about? What are the goals of your paper? Give enough background information to get your reader up to speed. (Briefly) What do you find?
Literature Review: Highlight research/findings related to your research question. Discuss what they found and how it relates to your research.
Data: Where is your data from? How was it collected? What variables are you including? How are they measured? How many observations do you have? This is likely a good spot for a good summary statistics table or useful figure.
Methods: What are you trying to measure and how are you going to do it? This is where you present and explain your model. Any sources of bias should be discussed (which of our assumptions do or do not hold in your model).
Results: What do you find? How can your results be interpreted? Are they causal? Include results table with regression output.
Conclusion: Briefly restate your motivation, approach, and findings. Discuss how future research could add to your discussion.
References: APA list of citations. Alphabetical. Hanging Indent.

Topic Information:

Research Question (what relationship are you interested in studying?): How will Covid-19
fatality rates be affected by corresponding policies?

Link to Dataset:

Covid-19 case fatality rate: https://github.com/CSSEGISandData/COVID-19

Policies: https://ourworldindata.org/policy-responses-covid

Proposed X Variables: Different corresponding policies, for example, face coverings, stay-at-
home restrictions and so on.

Proposed Y Variable: Covid-19 case fatality rate

Research Question: How will Covid-19 fatality rates be affected by corresponding policies?

Literature Review Source 1:

APA Citation:

Goutte, S., Peran, T., & Porcher, T. (2020). The role of economic structural factors in
determining pandemic mortality rates: Evidence from the COVID-19 outbreak in france.
Research in International Business and Finance, 54
doi:https://doi.org/10.1016/j.ribaf.2020.101281

What did the authors find:

The authors find that the mortality rate of COVID-19 is mainly related to economic poverty and
housing affordability, which indicates that the mortality rate of COVID-19 will be higher when
the government implements policies of social distancing and lockdown. In addition, some
unstable factors and inhospitable areas are at greater risk in the case of COVID-19, and the
government should also set other corresponding policies.

How did they find it (data/methods):

At the beginning, authors compare a total of 66 variables, and then use PCA to select the 30
variables closest to them. Authors do the p Principle Component analysis to get the best variable
characteristics. The figure shows the variable sets of eight departments in two dimensions. It can
be found from the figure that there is a significant difference between variables of one
department and others. Second, the authors found that a department characterized by low levels
of education and wages also had the highest COVID-19 mortality rate. It also suggests that a
difficult economy could increase the death rate from COVID-19.

How does it relate to your research:

My topic is about the impact of government policies on the mortality rate of COVID-19. There is
information about social distancing and lockdown in this article. It is also important to address
the impact of COVID-19 on the economy, education and housing.

Literature Review Source 2:

APA Citation:

Zanettini, C., Omar, M., Dinalankara, W., Imada, E. L., Colantuoni, E., Parmigiani, G., &
Marchionni, L. (2021). Influenza vaccination and COVID-19 mortality in the USA: An
ecological study. Vaccines, 9(5), 427. doi:https://doi.org/10.3390/vaccines9050427

What did the authors find:

Authors look at vaccination rates and death rates from COVID-19 among people 65 years and
older, and find associations between them. In the experiment, the vaccination rate is taken as
independent, and the death rate of COVID-19 is taken as dependent. The relationship between
the two is inversely correlated in the results, so other potential issues need to be investigated
when studying the impact of vaccination rates on mortality from COVID-19.

How did they find it (data/methods):

First, authors collect vaccination rates and COVID-19 mortality rates among the elderly before
December 14, 2020. At the same time, because some social environment and other factors need
to be considered, a group of potential problems are also included, which can make the
experimental results m

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