scholarly journals Time series analysis of patients seeking orthodontic treatment at Seoul National University Dental Hospital over the past decade

2017 ◽  
Vol 47 (5) ◽  
pp. 298 ◽  
Author(s):  
Hyun-Woo Lim ◽  
Ji-Hoon Park ◽  
Hyun-Hee Park ◽  
Shin-Jae Lee
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Orthodontic Treatment ◽  
The Past ◽  
Series Analysis ◽  
Dental Hospital ◽  
National University ◽  
Seoul National University

Provincial Level Time Series Analysis : Community Mobility and COVID-19 Daily Cases in Turin, Italy (Preprint)

2021 ◽  
Author(s):  
Dayana Benny
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Cross Correlation ◽  
Provincial Level ◽  
Epidemic Curve ◽  
The Past ◽  
Series Analysis ◽  
Community Mobility ◽  
Cross Correlation Analysis ◽  
Restrictive Measures

BACKGROUND Turin, a province in the Piedmont region sees second highest new COVID-19 infections in Northern part of Italy as of March 31, 2021. During the first wave of pandemic, many restrictive measures were introduced in this province. There are many studies that conducted time series analysis of various regions in Italy, but studies that are analysing the data in province level are limited. Also, no applications of Cross Correlation Function(CCF) have been proposed to analyse relationships between COVID-19 new cases and community mobility at the provincial level in Italy. OBJECTIVE The goal of this time series analysis is to find how the restrictive measures in Turin province, Italy impacted community mobility and helped in flattening the epidemic curve during the first wave of the pandemic. METHODS A simple time series analysis is conducted in this study to analyse whether there is an association between COVID-19 daily cases and community mobility. In this study, we analysed whether the time series of the parameter that estimates the reproduction of infection in the outbreak is related to the past lags of community mobility time series by performing cross-correlation analysis. RESULTS Multiple regression is carried out in which the R0 variable is a linear function of past lags 6, 7, 8, and 1 of the community mobility variable and all coefficients are statistically significant where P = 0.024043, 2.69e-05, 0.045350 and 0.000117 respectively. The cross-correlation between data fitted from the significant past lags of community mobility and transformed basic reproduction number (R0) time-series is obtained in such a manner that the R0 of a day is related to the past lags of community mobility in Turin province. CONCLUSIONS Our analysis shows that the restrictive measures are having an impact on community mobility during the first wave of COVID-19 and it can be related to the reported secondary cases of COVID-19 in Turin province at that time. Through further improvement, this simple model could serve as preliminary research for developing right preventive methods during the early stages of an epidemic.

Provincial Level Time Series Analysis : Community Mobility and COVID-19 Daily Cases in Turin, Italy (Preprint)

2021 ◽  
Author(s):  
Dayana Benny
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Cross Correlation ◽  
Provincial Level ◽  
Epidemic Curve ◽  
The Past ◽  
Series Analysis ◽  
Community Mobility ◽  
Cross Correlation Analysis ◽  
Restrictive Measures

BACKGROUND Turin, a province in the Piedmont region sees second highest new COVID-19 infections in Northern part of Italy as of March 31, 2021. During the first wave of pandemic, many restrictive measures were introduced in this province. There are many studies that conducted time series analysis of various regions in Italy, but studies that are analysing the data in province level are limited. Also, no applications of Cross Correlation Function(CCF) have been proposed to analyse relationships between COVID-19 new cases and community mobility at the provincial level in Italy. OBJECTIVE The goal of this time series analysis is to find how the restrictive measures in Turin province, Italy impacted community mobility and helped in flattening the epidemic curve during the first wave of the pandemic. METHODS A simple time series analysis is conducted in this study to analyse whether there is an association between COVID-19 daily cases and community mobility. In this study, we analysed whether the time series of the parameter that estimates the reproduction of infection in the outbreak is related to the past lags of community mobility time series by performing cross-correlation analysis. RESULTS Multiple regression is carried out in which the R0 variable is a linear function of past lags 6, 7, 8, and 1 of the community mobility variable and all coefficients are statistically significant where P = 0.024043, 2.69e-05, 0.045350 and 0.000117 respectively. The cross-correlation between data fitted from the significant past lags of community mobility and transformed basic reproduction number (R0) time-series is obtained in such a manner that the R0 of a day is related to the past lags of community mobility in Turin province. CONCLUSIONS Our analysis shows that the restrictive measures are having an impact on community mobility during the first wave of COVID-19 and it can be related to the reported secondary cases of COVID-19 in Turin province at that time. Through further improvement, this simple model could serve as preliminary research for developing right preventive methods during the early stages of an epidemic.

scholarly journals Modern trends in Class III orthognathic treatment: A time series analysis

2016 ◽  
Vol 87 (2) ◽  
pp. 269-278 ◽  
Author(s):  
Chang-Hoon Lee ◽  
Hyun-Hee Park ◽  
Byoung-Moo Seo ◽  
Shin-Jae Lee
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Orthognathic Surgery ◽  
Orthodontic Treatment ◽  
Treatment Time ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Time Of Surgery ◽  
Series Analysis ◽  
Before And After

ABSTRACT Objective: To examine the current trends in surgical-orthodontic treatment for patients with Class III malocclusion using time-series analysis. Materials and Methods: The records of 2994 consecutive patients who underwent orthognathic surgery from January 1, 2004, through December 31, 2015, at Seoul National University Dental Hospital, Seoul, Korea, were reviewed. Clinical data from each surgical and orthodontic treatment record included patient's sex, age at the time of surgery, malocclusion classification, type of orthognathic surgical procedure, place where the orthodontic treatment was performed, orthodontic treatment modality, and time elapsed for pre- and postoperative orthodontic treatment. Results: Out of the orthognathic surgery patients, 86% had Class III malocclusion. Among them, two-jaw surgeries have become by far the most common orthognathic surgical treatment these days. The age at the time of surgery and the number of new patients had seasonal variations, which demonstrated opposing patterns. There was neither positive nor negative correlation between pre- and postoperative orthodontic treatment time. Elapsed orthodontic treatment time for both before and after Class III orthognathic surgeries has been decreasing over the years. Conclusion: Results of the time series analysis might provide clinicians with some insights into current surgical and orthodontic management.

Effects of Tight Money Policy on the Availability of Bank Loans to Small Businesses

1979 ◽  
Vol 4 (1) ◽  
pp. 22-30 ◽  
Author(s):  
C. F. Charles
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Small Businesses ◽  
Commercial Banks ◽  
Statistical Investigation ◽  
Bank Loans ◽  
The Past ◽  
Series Analysis ◽  
Financial Conditions ◽  
Small Manufacturers

Despite efforts in the past, the issue of whether tight money policy unfairly discriminates against small businesses remains an unsettled debate. More statistical investigation of the issue seems to offer the only answer to resolve the issue. This paper presents results from a statistical investigation of the financial conditions of small manufacturing corporations. The time-series analysis covering three cycles and one minor slump during '66–67 reveals that commercial banks did drastically reduce the volume of loans to small manufacturers during tight money periods when large corporations demanded more accommodation from banks.

Exchange rates, Canadian lumber imports, and United States prices: a time-series analysis

1988 ◽  
Vol 18 (12) ◽  
pp. 1587-1594 ◽  
Author(s):  
Joseph Buongiorno ◽  
Jean-Paul Chavas ◽  
Jussi Uusivuori
Keyword(s):  
United States ◽  
Time Series ◽  
Exchange Rate ◽  
Time Series Analysis ◽  
The United States ◽  
Monthly Data ◽  
Softwood Lumber ◽  
The Past ◽  
Series Analysis

Softwood lumber imports by the United States from Canada more than doubled during the past 10 years. The objective of this paper was to investigate two possible reasons for this change: (i) the increase in value of the U.S. dollar relative to the Canadian dollar, and (ii) the rise in the price of softwood lumber in the United States. The method used was time-series analysis, leading to measures of feedback and long-term multipliers between imports, exchange rate, and U.S. price. The results, based on monthly data from January 1974 to January 1986, suggested that 68% of the rise in Canadian imports during this period was due to the rise in the price of softwood lumber in the United States. The exchange rate, however, was not found to have a significant effect on imports. The findings also indicate that the increase in imports has not led to a decline in the price received by U.S. producers.

scholarly journals A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality

2016 ◽  
Author(s):  
Yu Fan Zeng ◽  
Adree Khondker
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
The United States ◽  
Dose Response Relationship ◽  
Current Time ◽  
Predictive Regression ◽  
The Past ◽  
Series Analysis ◽  
Time Series Analyses ◽  
The Relationship

The relationship between air pollution and public health has gained increasing attention in the past decade. Many time-series analyses have been conducted worldwide, including in all the major cities of the United States, Europe, and Asia. However, the most current time-series analysis study of Ontario, Canada dates back to 2012 and includes only a single city, calling the need of a more recent study at a provincial scale. As a result, we propose to conduct time-series analyses of major Ontario cities and then use a hierarchical model to pool the results and construct a dose-response relationship and generate a predictive regression.

scholarly journals A time-series analysis of relevant pollutants in Hamilton (Ontario) and induced mortality

2016 ◽  
Author(s):  
Yu Fan Zeng ◽  
Adree Khondker
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
The United States ◽  
Dose Response Relationship ◽  
Current Time ◽  
Predictive Regression ◽  
The Past ◽  
Series Analysis ◽  
Time Series Analyses ◽  
The Relationship

The relationship between air pollution and public health has gained increasing attention in the past decade. Many time-series analyses have been conducted worldwide, including in all the major cities of the United States, Europe, and Asia. However, the most current time-series analysis study of Ontario, Canada dates back to 2012 and includes only a single city, calling the need of a more recent study at a provincial scale. As a result, we propose to conduct time-series analyses of major Ontario cities and then use a hierarchical model to pool the results and construct a dose-response relationship and generate a predictive regression.

scholarly journals ANALYSIS OF INCIDENCES OF COLLAPSED BUILDINGS IN LAGOS METROPOLIS, NIGERIA

2010 ◽  
Vol 14 (4) ◽  
pp. 332-346 ◽  
Author(s):  
Ayotunde Olawande Oni
Keyword(s):  
Time Series ◽  
Spatial Analysis ◽  
Time Series Analysis ◽  
High Concentration ◽  
Comprehensive Investigation ◽  
The Past ◽  
Series Analysis ◽  
The Future ◽  
Collapsed Buildings

Building collapses in Lagos metropolis have become worrisome to residents, developers, and Government. This study examined the incidences of collapsed buildings in Lagos metropolis over a thirty‐year period. Time series analysis was carried out to determine the past and predict direction of the future occurrences. In addition, a process of inference from reports on investigations of past occurrences was adopted to establish causes of building collapses in the study area. Spatial analysis of the collapses showed high concentration in swampy terrain that was reclaimed in the past. The study recommends, amongst other things, comprehensive investigation of the geophysical characteristics of the affected locations towards finding lasting solution to the menace. Santruka Lagose griūvantys pastatai kelia nerima gyventojams, vystytojams ir vyriausybei. Šiame tyrime nagrinejamas pastatu griuvumo dažnumas Lagose per trisdešimt metu. Atlikta laiko eilučiu analize, siekiant nustatyti buvusius atvejus ir numatyti būsimu atveju tendencijas. Be to, siekiant nustatyti, del kokiu priežasčiu tiriamoje teritorijoje griūva pastatai, buvo pasirinktas išvadu procesas, pagristas ankstesniu atveju tyrimo ataskaitomis. Erdvine griuvimu analize parode didele koncentracija pelketose vietovese, kurios anksčiau buvo melioruotos. Be kitu dalyku, tyrime rekomenduojama atlikti išsamu paveiktu vietoviu geofiziniu savybiu tyrima, siekiant rasti ilgalaiki sprendima, kaip išvengti šios gresmes.

Statistical Time Series Analysis of Crack Movements at Bayon Main Tower, Cambodia

2010 ◽  
Vol 133-134 ◽  
pp. 397-402 ◽  
Author(s):  
Shunsuke Yamada ◽  
Masato Araya ◽  
Mitsuharu Fukuda ◽  
Yoshinori Iwasaki
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
State Space ◽  
Weather Conditions ◽  
Space Representation ◽  
State Space Representation ◽  
The Past ◽  
Series Analysis ◽  
Crack Movement ◽  
Statistical Time

Based on the past monitoring data of crack movements and various weather conditions by JASA (Japanese Government Team of Safeguarding Angkor), we quantitatively examine about the effects of each weather conditions to each crack movements at Bayon main tower. Then, we applied the time series analysis using a state-space representation in the examination. In the model of the state-space representation, the factors of crack movement are assumed as temperature, wind velocity and rainfall. Those quantitative examinations of crack movements will be necessary for the planning of reinforcement and restoration at Bayon main tower.

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