Hiroshi Nishiura

ORCID: 0000-0003-0941-8537
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • Influenza Virus Research Studies
  • Viral Infections and Outbreaks Research
  • SARS-CoV-2 and COVID-19 Research
  • Viral Infections and Vectors
  • Respiratory viral infections research
  • Data-Driven Disease Surveillance
  • Mosquito-borne diseases and control
  • Animal Disease Management and Epidemiology
  • COVID-19 Pandemic Impacts
  • Virology and Viral Diseases
  • Zoonotic diseases and public health
  • COVID-19 Clinical Research Studies
  • Bacillus and Francisella bacterial research
  • SARS-CoV-2 detection and testing
  • Vaccine Coverage and Hesitancy
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Viral gastroenteritis research and epidemiology
  • Poxvirus research and outbreaks
  • Disaster Response and Management
  • COVID-19 Digital Contact Tracing
  • Pneumonia and Respiratory Infections
  • Travel-related health issues
  • Vibrio bacteria research studies
  • Yersinia bacterium, plague, ectoparasites research

Japan Science and Technology Agency
2014-2024

Kyoto University
1995-2024

National Institute of Infectious Diseases
2020-2023

Hyogo University
2022-2023

World Health Organization - Denmark
2023

Tokyo Metropolitan Institute of Medical Science
2023

Georgia State University
2023

Hokkaido University
2016-2022

Nagasaki University
2006-2022

Tohoku University
2020-2022

The geographic spread of 2019 novel coronavirus (COVID-19) infections from the epicenter Wuhan, China, has provided an opportunity to study natural history recently emerged virus. Using publicly available event-date data ongoing epidemic, present investigated incubation period and other time intervals that govern epidemiological dynamics COVID-19 infections. Our results show falls within range 2-14 days with 95% confidence a mean around 5 when approximated using best-fit lognormal...

10.3390/jcm9020538 article EN Journal of Clinical Medicine 2020-02-17

10.1016/j.ijid.2020.02.060 article EN cc-by-nc-nd International Journal of Infectious Diseases 2020-03-04

Background During the influenza pandemic of 2009 estimates symptomatic and asymptomatic infection were needed to guide vaccination policies inform other control measures. Serological studies are most reliable way measure independent symptoms. We reviewed all published serological that estimated cumulative incidence with H1N1 prior initiation population-based against strain. Methodology Principal Findings searched for in wider community. excluded did not include both pre- post-pandemic...

10.1371/journal.pone.0021828 article EN cc-by PLoS ONE 2011-08-05

The Middle East respiratory syndrome (MERS) coronavirus has caused recurrent outbreaks in the Arabian Peninsula since 2012. Although MERS low overall human-to-human transmission potential, there is occasional amplification healthcare setting, a pattern reminiscent of dynamics severe acute (SARS) 2003. Here we provide head-to-head comparison exposure patterns and large hospital clusters SARS, including most recent South Korean outbreak 2015. To assess unexpected nature nosocomial estimate...

10.1186/s12916-015-0450-0 article EN cc-by BMC Medicine 2015-09-02

The exported cases of 2019 novel coronavirus (COVID-19) infection that were confirmed outside China provide an opportunity to estimate the cumulative incidence and case fatality risk (cCFR) in mainland China. Knowledge cCFR is critical characterize severity understand pandemic potential COVID-19 early stage epidemic. Using exponential growth rate incidence, present study statistically estimated basic reproduction number—the average number secondary generated by a single primary naïve...

10.3390/jcm9020523 article EN Journal of Clinical Medicine 2020-02-14

The reproduction number, R, defined as the average number of secondary cases generated by a primary case, is crucial quantity for identifying intensity interventions required to control an epidemic. Current estimates seasonal influenza show wide variation and, in particular, uncertainty bounds R pandemic strain from 1918 1919 have been obtained only few recent studies and are yet be fully clarified. Here, we estimate using daily case notifications during autumn wave (Spanish flu) city San...

10.1098/rsif.2006.0161 article EN Journal of The Royal Society Interface 2006-10-12

Abstract Objective To identify common features of cases with novel coronavirus disease (COVID-19) so as to better understand what factors promote secondary transmission including superspreading events. Methods A total 110 were examined among eleven clusters and sporadic cases, investigated who acquired infection from whom. The included four in Tokyo one each Aichi, Fukuoka, Hokkaido, Ishikawa, Kanagawa Wakayama prefectures. number generated by primary case was calculated using contact...

10.1101/2020.02.28.20029272 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-03-03

Abstract The geographic spread of 2019 novel coronavirus (COVID-19) infections from the epicenter Wuhan, China, has provided an opportunity to study natural history recently emerged virus. Using publicly available event-date data ongoing epidemic, present investigated incubation period and other time intervals that govern epidemiological dynamics COVID-19 infections. Our results show falls within range 2–14 days with 95% confidence a mean around 5 when approximated using best-fit lognormal...

10.1101/2020.01.26.20018754 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-01-28

Abstract We analyzed 3,184 cases of coronavirus disease in Japan and identified 61 case-clusters healthcare other care facilities, restaurants bars, workplaces, music events. also 22 probable primary case-patients for the clusters; most were 20–39 years age presymptomatic or asymptomatic at virus transmission.

10.3201/eid2609.202272 article EN cc-by Emerging infectious diseases 2020-06-10

The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become widespread across world in a flashing manner. As December 7, 2021, total 758 cases were confirmed Denmark. Using nucleotide sequences Delta and variants registered from Denmark GISAID database, we found that effective (instantaneous) reproduction number is 3.19 (95% confidence interval [CI]: 2.82-3.61) times greater than under same epidemiological conditions. proportion infections among all...

10.1002/jmv.27560 article EN cc-by-nc Journal of Medical Virology 2021-12-30

The impact of the drastic reduction in travel volume within mainland China January and February 2020 was quantified with respect to reports novel coronavirus (COVID-19) infections outside China. Data on confirmed cases diagnosed were analyzed using statistical models estimate three epidemiological outcome measures: (i) number exported cases, (ii) probability a major epidemic, (iii) time delay epidemic. From 28 7 2020, we estimated that 226 (95% confidence interval: 86,449) prevented,...

10.3390/jcm9020601 article EN Journal of Clinical Medicine 2020-02-24

Abstract Objective To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs. Methods We collected dates illness onset for primary cases (infectors) and secondary (infectees) published research articles case investigation reports. subjectively ranked credibility data performed analyses both full dataset ( n =28) a subset pairs with highest certainty in reporting =18). In addition, we adjusting right truncation as epidemic is still its...

10.1101/2020.02.03.20019497 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-02-13

A total of 565 Japanese citizens were evacuated from Wuhan, China to Japan. All passengers screened for symptoms and also undertook reverse transcription polymerase chain reaction testing, identifying 5 asymptomatic 7 symptomatic testing positive 2019-nCoV. We show that the screening result is suggestive ratio at 41.6%.

10.1101/2020.02.03.20020248 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-02-11

On 16 May 2009, Japan confirmed its first three cases of new influenza A(H1N1) virus infection without a history overseas travel, and by 1 June, 361 cases, owing to indigenous secondary transmission, have been confirmed. Of these, 287 (79.5%) were teenagers (i.e. between 10 19 years age). The reproduction number is estimated at 2.3 (95% confidence interval: 2.0, 2.6). average transmissions involving minors (those under 20 age) traced back infected 2.8. That is, can sustain transmission even...

10.2807/ese.14.22.19227-en article EN cc-by Eurosurveillance 2009-06-04
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