scholarly journals Estimation of infection rate and the population size potentially exposed to SARS-CoV-2 in Japan during 2020

2021 ◽  
Author(s):  
Motohiko Naito
Keyword(s):  
Data Analysis ◽  
Infection Rate ◽  
Primary Data ◽  
The Novel ◽  
Primary Data Analysis ◽  
Positive Rate ◽  
Novel Virus ◽  
Definition Of ◽  
Two Peaks ◽  
Domestic Law

AbstractBackgroundThe infectious respiratory disease COVID-19, caused novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reached pandemic status during 2020. The primary statistic data are important to survey the actual circumstances of COVID-19. Here, we report the analysis of the primary data of COVID-19 in Japan during 2020.MethodsData were collected and released systematically under Japan domestic law. Machine learning was conducted to estimate the positive rate in Japan and four prefectures (Tokyo, Osaka, Chiba, and Fukuoka).ResultsPrimary data analysis revealed there were at least two peaks of infection in Japan; the first one was during April 2020 and the second one started from November 1, 2020. Estimating the positive rate in Japan as well as in the four prefectures reinforced the above observations. The positive rate in Japan during 2020 was estimated to be around 6% to 8%. We also estimated that 1.95 million people were possibly exposed to the novel virus on October 31, 2020. The numbers of related deaths were over 3,000 people at the end of 2020.ConclusionWe estimated the infection rate of SARS-CoV-2 in Japan to be 6–8% in 2020. We also concluded that Japan had at least two infection-spreading periods, the first one being from Jan 19, 2020 until May 2020, and the second one beginning from November 1, 2020. Importantly, our analysis supports the need for clear definition of the criteria for conducting confirmation tests before embarking on data analysis.

scholarly journals Experimental design and primary data analysis methods for comparing adaptive interventions.

2012 ◽  
Vol 17 (4) ◽  
pp. 457-477 ◽  
Author(s):  
Inbal Nahum-Shani ◽  
Min Qian ◽  
Daniel Almirall ◽  
William E. Pelham ◽  
Beth Gnagy ◽  
...  
Keyword(s):  
Data Analysis ◽  
Experimental Design ◽  
Primary Data ◽  
Adaptive Interventions ◽  
Analysis Methods ◽  
Primary Data Analysis ◽  
Data Analysis Methods

How Good is Your Shopping Agent? Users' Perception Regarding Shopping Agents' Service Quality

2010 ◽  
pp. 151-164
Author(s):  
Calin Gurau
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Online Shopping ◽  
Primary Data ◽  
Personal Factors ◽  
Searching Strategy ◽  
Primary Data Analysis ◽  
Main Factors

The use of online shopping agents has increased dramatically in the last 10 years, as a result of e-commerce development. Despite the importance of these online applications, very few studies attempted to identify and analyse the main factors that influence the users’ perception regarding the service quality of online shopping agents, and consequently, the elements that determine the users’ choice of online shopping agents. The present study attempts to fill this literature gap, identifying on the basis of primary data analysis, the various circumstantial or personal factors that can determine the choice of a specific searching strategy and shopping agent.

scholarly journals Swift: primary data analysis for the Illumina Solexa sequencing platform

2009 ◽  
Vol 25 (17) ◽  
pp. 2194-2199 ◽  
Author(s):  
Nava Whiteford ◽  
Tom Skelly ◽  
Christina Curtis ◽  
Matt E. Ritchie ◽  
Andrea Löhr ◽  
...  
Keyword(s):  
Data Analysis ◽  
Solexa Sequencing ◽  
Primary Data ◽  
Sequencing Platform ◽  
Primary Data Analysis

scholarly journals Collection realization of shopping budget in the year end

2021 ◽  
Vol 5 (3) ◽  
pp. 264-271
Author(s):  
Endriana Luckita Sari ◽  
Muhamad Adam ◽  
Marlina Widiyanti ◽  
Isni Andriana
Keyword(s):  
Data Analysis ◽  
Conflicts Of Interest ◽  
Field Studies ◽  
Data Sources ◽  
Primary Data ◽  
Fiscal Year ◽  
Primary Data Analysis ◽  
Management Commitment ◽  
Resource Deficit ◽  
Regional Work

This study wanted to determine the factors that caused the accumulation of year-end budgets in the DP2KBP3A Bangka Regency for the 2017-2019 fiscal year. The data sources are field studies and documentation in related offices at the Bangka Regency Regional Work Unit. Based on the primary data analysis and discussion of the results, we report that the causes of budget accumulation are, among others, still more dominant, characterized by item line systems, incremental, rigid, overlapping, conflicts of interest, motives for seeking personal and group benefits, budget wastage, and does not provide benefits for improving the performance of the apparatus and public services. The factors for the procurement of goods/services related to the procurement of goods/services are the lack of knowledge about the regulations in the process of procuring goods/services, the weak management commitment of the SKPD head, and the commitment of the employees involved in the procurement of goods/services. The process of procuring goods/services and the SKPD environment is not yet conducive to coordination and teamwork. Other problems include the human resource deficit that manages finances. We hope that this result will be a valuable input for developing the following study.

scholarly journals Impact of Human and Social Capital on Economic Development in Pakistan: Empirical Evidence From Primary Data Analysis

2018 ◽  
Vol 4 (1) ◽  
pp. 39-46
Author(s):  
Muhammad Sibt-e- Ali ◽  
Imran Sharif Chaudhary ◽  
Fatima Farooq
Keyword(s):  
Social Capital ◽  
Economic Development ◽  
Data Analysis ◽  
Empirical Evidence ◽  
Negative Impact ◽  
Primary Data ◽  
Strong Impact ◽  
Primary Data Analysis ◽  
Human And Social Capital ◽  
The Impact

This study examines the impact of human and social capital on economic development in Pakistan by employing empirical evidence from primary data analysis. The survey was conducted in Multan District based on the household concerning questionnaire. The results conclude that age, on job training, area of residence, public health units, and work experience have positive and significant impact on economic development, while norms of the society and gender have negative impact on economic development.  In other words, it is empirically evident from the analysis that human and social capital has strong impact on economic development.  Therefore, there is an ardent need to bring the sustainable changes in human and social capital for inclusive growth and economic development in Pakistan.

STEREOTIP TERHADAP PEREMPUAN DALAM NOVEL-NOVEL KARYA ABIDAH EL KHALIEQY: TINJAUAN SASTRA FEMINIS

2019 ◽  
Vol 1 (1) ◽  
pp. 29-42
Author(s):  
Yenny Puspita
Keyword(s):  
Data Analysis ◽  
Deep Understanding ◽  
Qualitative Approach ◽  
Analysis Procedure ◽  
Data Sources ◽  
Literary Texts ◽  
Primary Data ◽  
The Novel ◽  
Data Analysis Procedure

This study aims to obtain an overview and deep understanding of the role of women in society, especially the stereotypes of women in the novel Perempuan Berkalung Sorban and Geni Jora by Abidah El Khalieqy. This study uses a descriptive qualitative approach. Primary data sources in this study are novels by Abidah El Khalieqy including: Women Berkalung Sorban (2001) and Geni Jora (2004). Data collection techniques are in the form of document searches. In this case, the form of awareness and flow of feminist thought contained in Indonesian literary texts is understood to mean the use of feminism studies. The data analysis procedure used in this study is content analysis.

Magnetic resonance imaging in the initial diagnosis of pancreatic insulinoma: primary data analysis

2019 ◽  
Author(s):  
Marina Yukina ◽  
Nurana Nuralieva ◽  
Ekaterina Troshina ◽  
Aleksandr Vorontsov ◽  
Victoria Vladimirova ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Data Analysis ◽  
Magnetic Resonance ◽  
Initial Diagnosis ◽  
Primary Data ◽  
Resonance Imaging ◽  
Primary Data Analysis ◽  
Pancreatic Insulinoma

Marketing Strategy on Community Based Tourism in Special Region of Yogyakarta

2018 ◽  
Vol 9 (4) ◽  
pp. 733
Author(s):  
Dyah SUGANDINI ◽  
Mohamad Irhas EFFENDI ◽  
Agus Sasmito ARIBOWO ◽  
Yenni Sri UTAMI
Keyword(s):  
Data Analysis ◽  
Marketing Strategy ◽  
Local Community ◽  
Swot Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Tourism Destination ◽  
Community Based ◽  
Primary Data Analysis ◽  
Special Region

This research aims to analyze marketing strategy of tourism in Yogyakarta using SWOT analysis. This research is using Community Based Tourism (CBT) approach. CBT is the empowerment of local community where they are involved in the planning, managing, and decision making for the development. The urgency of this research is the demand from Indonesian government for tourism development in Special Region of Yogyakarta in order to make Yogyakarta as a leading tourism destination in Southeast Asia. This research is conducted in Yogyakarta that has four districts and one city. The data used in this research is primary and secondary data. The respondents are foreign and domestic tourists and stakeholders officials. The number of respondents is 300 people. The data is collected by convinience sampling. The secondary data analysis shows that foreign and domestic tourists who come to Special Region of Yogyakarta is relatively increasing in the last three years. Tourism destination in Special Region of Yogyakarta which based on community is also increasing and always innovating. The primary data analysis shows thattourism destination quality, satisfaction, and image according to the visitor perception is good, but the visitor loyaly shows a bad result. Most of the tourists visit Special Region of Yogyakarta just once and it is just a transit destination. The strategy that is necessary to increase the visit in tourism destination for tourists can be done through promotion of cultural destination that is quite attractive for the tourists. An integrated promotion for CBT needs to be more improved.

scholarly journals The problem of defining the concept of “indigenous peoples” in international and domestic law

2021 ◽  
Vol 4 ◽  
pp. 135-141
Author(s):  
F.I. Nikitin ◽  
Keyword(s):  
Data Analysis ◽  
Indigenous People ◽  
Indigenous Peoples ◽  
Current Practice ◽  
Local Level ◽  
Ethnic Communities ◽  
Cultural Assumptions ◽  
Local Law ◽  
Definition Of ◽  
Domestic Law

The article highlights the problem of defining the concept of «indigenous people» in international and domestic (local) law. It is found that the current practice of defining them still retains some difficulties due to the lack of a clear, unified and formally fixed definition of these peoples at universal legal level. Particular attention is given to the study of existing approaches to their definition used at domestic (local) level. A proposal is made that there is a necessity to rethink concept of defining «indigenous people». Authors in the research understand the recognition of these ethnic communities as autonomous subjects of international and domestic (local) law. Based on the data analysis, it was concluded that the current practice of defining indigenous peoples are highly variable greatly depending on the features of each state. At the same time, it still reveals a certain coherence based on historical and cultural assumptions.

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