I need a google slides presentation for statistics. I need a voice over presentation worth 15 minutes long. This part I will do. I just need the script of what to say along with the presentation slides.
SCREEN-TIME AND INATTENTION IN PRESCHOOLERS Title Page ARTICLE Background of the article Introduction Summary of what you see the problem or issue to be [Please Note: you are welcome to change or modify these slides (maybe you want two slides on case data, etc.) but you should not add to the total number of slides. Your capped at 10 plus reference slide.] Research question Research question seen in the article or one you intend to explore KEY TERMS What terms does your audience need to understand in order to under your presentation? Statistical analysis Statistical analysis Results Discussion conclusion REFERENCES Summary of Influenza season from 2017-2018 YOUR Name COLLEGE COURSE /YR Professor Outline of the Data Summary of the Data What is influenza? What type of statistic? What are the variables? Estimates What hypothesis does the CDC predict about the flu season? Graphs What does the graphs explain about the data given? Conclusions Does the data support the question being evaluated? Symptoms of the flu Treatment Flu Vaccine Is this an experimental or observational study? What is the question being evaluated? What is influenza? Influenza also know as the flu is a contagious viral infection that attacks your respiratory system. Infected humans can be classified into three main groups: Influenza A Influenza B Influenza C Influenza Type A can be dangerous and is known to cause outbreaks and increase your risk of disease What are the symptoms of Influenza A? Unlike the common cold, the flu occurs with a sudden onset of symptoms that include: Coughing runny or stuffy nose sneezing fever Headache Fatigue Chills Body aches This Photo by Unknown Author is licensed under CC BY-ND Treatments for Influenza Sometimes influezna A symptoms clear up on their own with ample rest and fluid intake In Severe cases doctor may prescribe antiviral medication to fight the infection. This Photo by Unknown Author is licensed under CC BY-SA What is the Flu Vaccine? Flu vaccines cause antibodies to develop in the body about two weeks after vaccination Antibodies are used to protect against the infection of the virsus Seasonal flu vaccine protects people from the influenza virus that research shows will be the most common during the upcoming flu season Flu vaccine is needed every season for two reasons A person's immune protection from vaccination declines over time Flu viruses are constantly changing This Photo by Unknown Author is licensed under CC BY-SA-NC What are we evaluating? Influenza infection can affect millions of people every year Hundreds of thousands of people are hospitalized Thousands to tens of thousands of people die from flu-related causes every year Big Picture Question: How Effective is the flu vaccine? This Photo by Unknown Author is licensed under CC BY-SA-NC Variables being evaluated CDC (center of disease control) uses mathematical model to estimate the numbers of influenza illness, medical visits, hospitalizations and deaths. The CDC also uses age range to determine which age group is greatly effected by flu season. CDC uses the estimates of the burden of influenza in the population to inform policy and communications related to influenza prevention and control Observational study – CDC does not actively control the value of any of the variables. CDC Observes the values as they naturally occur CDC uses two studies: experimental and observational studies This graph is an observational study used by the CDC Vaccination of study subjects are not randomized The graph is a frequency table All the variables in this study are categorical. data is divided into two or more categories even though they have numerical values. We are not trying to find the order in which it occurred but knowing how many cases occurred. Symptomatic IllnessesMedical VisitsHospitalizationsDeaths Age GroupEstimate95% UI*Estimate95% UIEstimate95% UIEstimate95% UI 0-4 yrs3,678,342(2,563,438, 7,272,693)2,464,489(1,695,054, 4,904,296)25,644(17,871, 50,702)115(0, 367) 5-17 yrs7,512,601(5,899,989, 10,199,144)3,906,553(3,002,375, 5,356,724)20,599(16,177, 27,965)528(205, 1,392) 18-49 yrs14,428,065(12,258,820, 19,396,710)5,338,384(4,262,260, 7,333,716)80,985(68,809, 108,874)2,803(1,610, 6,936) 50-64 yrs13,237,932(9,400,614, 23,062,957)5,692,311(3,895,925, 10,028,080)140,385(99,691, 244,576)6,751(4,244, 15,863) 65+ yrs5,945,690(3,907,025, 11,786,777)3,329,586(2,139,716, 6,623,717)540,517(355,184, 1,071,525)50,903(35,989, 83,230) All ages44,802,629(39,322,959, 57,928,172)20,731,323(17,978,392, 27,248,302)808,129(620,768, 1,357,043)61,099(46,404, 94,987) CDC hypothesizes CDC estimates that the burden of illness during the 2017-2018 season was high with an estimated 45 million people getting sick with influenza. 810,000 hospitalizations and 61,000 deaths from influenza. This Photo by Unknown Author is licensed under CC BY-SA the CDC uses these estimates of disease burden to estimate the effectiveness of vaccines on the population. The Cdc estimates that flu vaccine prevented 6.2 million illnesses, 3.2 million medical visits, 91,000 hospitalizations and 5,700 deaths Averted IllnessesAverted Medical VisitsAverted HospitalizationsAverted Deaths Age GroupNo.95% UI*No.95% UI*No.95% UI*No.95% UI* 0-4 yrs1,721,215(823,798, 3,655,558)1,153,214(570,764, 2,391,130)15,139(7,332, 31,900)68(0, 269) 5-17 yrs1,151,025(268,849, 2,246,430)598,533(146,717, 1,107,901)4,275(1,361, 7,706)110(25, 335) 18-49 yrs1,044,837(454,076, 1,782,353)386,590(179,669, 613,839)6,534(2,846, 10,932)226(25, 335) 50-64 yrs1,647,176(384,460, 3,637,231)708,286(175,929, 1,481,055)16,792(3,329, 37,941)808(84, 605) 65+ yrs595,961(0, 2,439,161)333,738(0, 1,291,842)48,163(0, 202,692)4,536(0, 21,015) All ages6,160,213(2,076,700, 12,315,081)3,180,360(1,157,485, 6,071,355)90,904(15,986, 271,632)5,747(341, 23,499) Confidence intervals Provide context for understanding the precision or exactness of the vaccine effectiveness The wider the interval, the less exact the point value estimate of vaccine effectiveness becomes. For example: With a vaccine point estimate of 60%. If the confidence interval of this point estimate is between 50%-70%. Greater certainty that the true protective effect of the flu vaccine is near 60% than if the confidence interval was between 10% and 90%. This Photo by Unknown Author is licensed under CC BY-SA-NC analysis of the Graphs given Graph Biases Influenza vaccination coverage estimates were derived from reports by survey respondents, not vaccination records Reports are based on telephone surveys with relatively low response rates Estimates of the number of persons vaccinated based on these survey data have often exceeded the actual number of doses distributed Overestimates the number of illnesses and hospitalizations that the vaccines may not have prevented This Photo by Unknown Author is licensed under CC BY Conclusion Observational study compared the occurrence of the flu illness in vaccinated people compared to unvaccinated people, based on their decision to be vaccinated or not. Estimates of vaccine effectiveness may vary based on the outcome measured, the results should be compared between studies that used the same outcome for estimating vaccine effectiveness. Studies show flu vaccine can reduce the risk of flu illness between 40% and 60% among the overall population