著者

Daisuke Yoneoka Takayuki Kawashima Yuta Tanoue Shuhei Nomura Keisuke Ejima Shoi Shi Akifumi Eguchi Toshibumi Taniguchi Haruka Sakamoto Hiroyuki Kunishima Stuart Gilmour Hiroshi Nishiura Hiroaki Miyata

出版者

Japan Epidemiological Association

雑誌

Journal of Epidemiology (ISSN:09175040)

巻号頁・発行日

pp.JE20200150, (Released:2020-05-30)

参考文献数

23

被引用文献数

34

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BackgroundThe World Health Organization declared the novel coronavirus outbreak (COVID-19) to be a pandemic on March 11, 2020. Large-scale monitoring for capturing the current epidemiological situation of COVID-19 in Japan would improve preparation for and prevention of a massive outbreak.MethodsA chatbot-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was developed using the LINE app to evaluate the current Japanese epidemiological situation. LINE users could participate in the system either though a QR code page in the prefecture’s website, or a banner at the top of the LINE app screen. COOPERA asked participants questions regarding personal information, preventive actions, and non-specific symptoms related to COVID-19 and their duration. We calculated daily cross correlation functions between the reported number of infected cases confirmed by PCR and the symptom-positive group captured by COOPERA.ResultsWe analyzed 206,218 participants from three prefectures reported between March 5 and 30, 2020. The mean (standard deviation) age of participants was 44.2 (13.2). No symptoms were reported by 96.93% of participants, but there was a significantly positive correlation between the reported number of COVID-19 cases and self-reported fevers, suggesting that massive monitoring of fever might help to estimate the scale of the COVID-19 epidemic in real time.ConclusionsCOOPERA is the first real-time system being used to monitor trends in COVID-19 in Japan, and provides useful insights to assist political decisions to tackle the epidemic.

著者

Haruka SAKAMOTO Genta ITO Yuko GOTO-KOSHINO Megumi SAKAMOTO Ryohei NISHIMURA Yasuyuki MOMOI

出版者

JAPANESE SOCIETY OF VETERINARY SCIENCE

雑誌

Journal of Veterinary Medical Science (ISSN:09167250)

巻号頁・発行日

pp.22-0439, (Released:2023-05-15)

被引用文献数

6

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The novel domestic cat hepadnavirus (DCH), a member of the Hepadnaviridae, was first detected in Australia and has recently been identified in more countries. In this study, we explored the DCH genome using next-generation sequencing of a plasma sample from a cat with a fever of unknown cause. Nucleotide sequence analysis showed the virus to be relatively genetically distant from the first reported DCH in Australia, showing 89% homology. Then we conducted an epidemiological survey by PCR of plasma samples collected from 203 cats that visited a veterinary hospital for diagnosis and treatment. Two of the 203 surveyed cats a were positive for DCH. One of the two positive cases had elevated liver enzymes of unknown etiology, and the other had hepatoma. Our study indicated that DCH infection was observed in domestic cats in the Tokyo area of Japan as well as other reported areas in the world. Further investigations are needed to define the clinical importance of DCH.

著者

Shinichi Takenoshita Kyoko Nomura Sachiko Ohde Gautam A. Deshpande Haruka Sakamoto Honami Yoshida Kevin Urayama Seiji Bito Yasushi Ishida Takuro Shimbo Kunihiko Matsui Tsuguya Fukui Osamu Takahashi

出版者

Tohoku University Medical Press

雑誌

The Tohoku Journal of Experimental Medicine (ISSN:00408727)

巻号頁・発行日

vol.239, no.4, pp.325-331, 2016 (Released:2016-08-13)

参考文献数

20

被引用文献数

2 2

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The evidence suggests that mentoring is one of useful teaching methods in academic medicine but it is not clear for which outcome mentoring is effective. In this study, the authors investigated the number of original research articles that the participants had published in peer-reviewed English-language journals (as a first or a corresponding author) within one year prior to investigation and what characteristics of the participants who published at least one paper would be like compared to those who did not. In March 2015, the authors recruit early- and mid-career Japanese physicians (238 men and 240 women; mean age 40.6 years old) in a web survey. In total, 23.9% of physicians had published at least one original research article as a first author, 10.0% had published as a corresponding author, and 23.4% had a research mentor. A multivariate logistic regression model adjusting for variables selected at p < 0.15 in univariable models showed that even after adjusting for their motivation levels for clinical research, physicians with a research mentor [odds ratio (OR) 6.68; 95% confidence interval (CI), 3.74-11.93], physicians who obtained DMSc, roughly equivalent to PhD in the West (OR, 2.17; 95% CI, 1.26-3.72), and physicians who worked at teaching hospitals (OR 6.39; 95% CI, 2.54-16.04) were more likely to publish an original paper in a peer-reviewed journal. Having a research mentor or DMSc is associated with an experience of successfully publishing original papers in peer-reviewed journals for young and mid-career physician-researchers.

著者

Daisuke Yoneoka Takayuki Kawashima Yuta Tanoue Shuhei Nomura Keisuke Ejima Shoi Shi Akifumi Eguchi Toshibumi Taniguchi Haruka Sakamoto Hiroyuki Kunishima Stuart Gilmour Hiroshi Nishiura Hiroaki Miyata

出版者

Japan Epidemiological Association

雑誌

Journal of Epidemiology (ISSN:09175040)

巻号頁・発行日

vol.30, no.8, pp.362-370, 2020-08-05 (Released:2020-08-05)

参考文献数

23

被引用文献数

34

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Background: The World Health Organization declared the novel coronavirus outbreak (COVID-19) to be a pandemic on March 11, 2020. Large-scale monitoring for capturing the current epidemiological situation of COVID-19 in Japan would improve preparation for and prevention of a massive outbreak.Methods: A chatbot-based healthcare system named COOPERA (COvid-19: Operation for Personalized Empowerment to Render smart prevention And care seeking) was developed using the LINE app to evaluate the current Japanese epidemiological situation. LINE users could participate in the system either though a QR code page in the prefectures’ websites or a banner at the top of the LINE app screen. COOPERA asked participants questions regarding personal information, preventive actions, and non-specific symptoms related to COVID-19 and their duration. We calculated daily cross correlation functions between the reported number of infected cases confirmed using polymerase chain reaction and the symptom-positive group captured by COOPERA.Results: We analyzed 206,218 participants from three prefectures reported between March 5 and 30, 2020. The mean age of participants was 44.2 (standard deviation, 13.2) years. No symptoms were reported by 96.93% of participants, but there was a significantly positive correlation between the reported number of COVID-19 cases and self-reported fevers, suggesting that massive monitoring of fever might help to estimate the scale of the COVID-19 epidemic in real time.Conclusions: COOPERA is the first real-time system being used to monitor trends in COVID-19 in Japan and provides useful insights to assist political decisions to tackle the epidemic.