Difference between revisions of "Section 6: Conclusions (from DOI:10.14218/ERHM.2020.00023)"

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<h3><u>Section 6: Conclusions</u></h3><p>This population-based observational study shows that search terms related to COVID-19 are highly correlated with the trends in daily new cases and new deaths of COVID-19 in the USA. Therefore, an internet search-interest based model may be used to predict development and peak-time of COVID-19 outbreak.</p>
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<b>From publication:</b> "Trends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model" published as Explor Res Hypothesis Med; 2020 Apr 18 ; 5 (2) 1-6. DOI: https://doi.org/10.14218/ERHM.2020.00023 <br><br><h3><u>Section 6: Conclusions</u></h3><p>This population-based observational study shows that search terms related to COVID-19 are highly correlated with the trends in daily new cases and new deaths of COVID-19 in the USA. Therefore, an internet search-interest based model may be used to predict development and peak-time of COVID-19 outbreak.</p>

Latest revision as of 15:07, 23 June 2020


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ArticleTrends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model
Sections in this Publication
SectionSection 1: Introduction (from DOI:10.14218/ERHM.2020.00023)
SectionSection 2: Methods (from DOI:10.14218/ERHM.2020.00023)
SectionSection 3: Results (from DOI:10.14218/ERHM.2020.00023)
SectionSection 4: Discussion (from DOI:10.14218/ERHM.2020.00023)
SectionSection 5: Future directions (from DOI:10.14218/ERHM.2020.00023)
SectionSection 6: Conclusions (from DOI:10.14218/ERHM.2020.00023)
SectionReferences (from DOI:10.14218/ERHM.2020.00023)
Named Entities in this Section
EntityCOVID-19 (disease - MeSH supplementary concept)
EntityCardiac Death (disease - MeSH descriptor)
DatasetPubtator Central BioC-JSON formatted article files

From publication: "Trends and Prediction in Daily New Cases and Deaths of COVID-19 in the United States: An Internet Search-Interest Based Model" published as Explor Res Hypothesis Med; 2020 Apr 18 ; 5 (2) 1-6. DOI: https://doi.org/10.14218/ERHM.2020.00023

Section 6: Conclusions

This population-based observational study shows that search terms related to COVID-19 are highly correlated with the trends in daily new cases and new deaths of COVID-19 in the USA. Therefore, an internet search-interest based model may be used to predict development and peak-time of COVID-19 outbreak.

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