Trends of Human Coronaviruses in Yamagata, Japan in 2015–2016 Focusing on the OC43 Outbreak of June 2016

Matoba, Yohei; Aoki, Yoko; Tanaka, Shizuka; Unno, Maki; Komabayashi, Kenichi; Ikeda, Tatsuya; Shimotai, Yoshitaka; Matsuzaki, Yoko; Itagaki, Tsutomu; Mizuta, Katsumi

doi:10.7883/yoken.jjid.2017.263

Cited by 9 publications

(6 citation statements)

References 12 publications

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“…The S1 region of the S gene specific to HCoV‐OC43 was amplified for this study. The 21 µL of PCR cocktail contained 10 µL of GoTaq Green Master Mix (Promega Corp, Madison, WI), 0.5 µM of each forward/reverse primer, and 3 µL of template complementary DNA 11 . The reaction mixtures were thermally cycled once at 94°C for 5 minutes, then 40 times at 94°C for 30 seconds, 50°C for 30 seconds, 72°C for 2 minutes, and then once at 72°C for 7 minutes.…”

Section: Methodsmentioning

confidence: 99%

“…The HCoVs are known to be associated with mild, and in some cases severe respiratory tract symptoms similar to influenza‐like illness (ILI) 3,6,8 . Earlier studies have indicated HCoV‐OC43 as predominant among the four HCoVs and as causing large outbreaks 4‐13 . However, long‐term distribution of HCoV‐OC43 based on genetic analysis remains unclear 14 …”

Section: Introductionmentioning

confidence: 99%

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Longitudinal epidemiology of human coronavirus OC43 in Yamagata, Japan, 2010–2017: Two groups based on spike gene appear one after another

Komabayashi

Matoba

Tanaka

et al. 2020

Journal of Medical Virology

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Human coronavirus OC43 (HCoV-OC43) is divided into genotypes A to H based on genetic recombination including the spike (S) gene. To investigate the longitudinal transition of the phylogenetic feature of the HCoV-OC43 S gene in a community, phylogenetic analysis of the S1 region of the S gene was conducted using 208 strains detected in Yamagata during 2010 to 2017 with reference strains of the genotype. The S1 sequences were divisible into four groups: A to D. All Yamagata strains belonged to either group B or group D. In group B, 46 (90.2%) out of 51 Yamagata strains were clustered with those of genotype E reference strains (cluster E). In group D, 28 (17.8%) and 122 (77.7%) out of 157 Yamagata strains were clustered, respectively, with genotype F and genotype G reference strains. In cluster G, 28 strains formed a distinct cluster. Monthly distributions of HCoV-OC43 in Yamagata in 2010 to 2017 revealed that group B and group D appeared one after another. In group B, the cluster E strains were prevalent recurrently. In conclusion, epidemics of HCoV-OC43 in Yamagata, Japan might be attributable to two genetically different groups: group B showed a recurrent epidemic of strains belonging to a single phylogenetic cluster and group D showed epidemic strains belonging to multiple clusters.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Longitudinal epidemiology of human coronavirus OC43 in Yamagata, Japan, 2010–2017: Two groups based on spike gene appear one after another

Komabayashi

Matoba

Tanaka

et al. 2020

Journal of Medical Virology

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“…Epidemiology suggests the climate and meteorological as environmental factors that have seasonal in uence on viral diseases (National Academies of Sciences, 2020), either indirectly on individuals and human populations or directly on vectors and/or pathogens. SARS-CoV-2 is part of a large viral family, of which four species are best known for the occurrence of common colds: i) Alpha coronavirus HCoV-229E (infecting humans and bats), ii) Alpha coronavirus HCoV-NL63, iii) Beta coronavirus HCoV-OC43 and, iv) Beta coronavirus HCoV-HKU1 (originating from infected rats) that are highly associated with climatic conditions and meteorological factors (Matoba et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Climate and Covid-19 - Upgrade and solar radiation influences based on Brazil cases

Mendonça¹,

Anjos²,

Collischonn³

et al. 2020

Preprint

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Background COVID-19 has confirmed to be a pandemic with global and historical dimensions in the beginning of the 21st century. Climatic conditions are one of the environmental factors that influence communicable diseases, including viral diseases. Despite promising scientific advances into understanding the interaction between climate and COVID-19, a question remains: How can climate influence the pandemic of COVID-19? Methods It was updated the publications available on the climate and COVID-19 using Scopus, Web of Science, and PubMed database from January 1 to May 20, 2020. Statistical analysis, such normality and multicollinearity tests were performed between number of COVID-19 cases and climato-meteorological parameters (temperature, relative humidity, dew point temperature, atmosphere pressure, wind speed, wind gust, rainfall, and solar radiation, nebulosity and insolation ratio) in six Brazilian cities. Results This review reveals that temperature, relative humidity and absolute humidity alone do not able to explain the exponential number of COVID-19 cases. Most studies showed the SARS-CoV-2 satisfactorily can survive in a large range of temperature and humidity in temperature and tropical- humidity climates. Analyzing other meteorological parameter, insolation ratio that is related to the solar radiation and nebulosity, the results and in accordance with other studies suggest the transmission and contagion by SARS-CoV-2 seem to have been enhanced under from medium to low direct solar radiation and covered skies. Conclusions This study showed that the inclusion of other climatic variables, in addition to temperature and humidity, should guide future ecological models on the relationship between climate and COVID-19, especially the insolation ratio influences on the viral transmission in six Brazilian cities. Our findings may support public policies and coordinated actions to reduce and control of COVID-19.

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“…Two longitudinal studies conducted in Yamagata prefecture in Japan demonstrated a higher presence of coronaviruses (up to 9.7% of the strains isolated, with wide year-to-year variability) in the Japanese pediatric population with respiratory symptoms. In Japan, CoV HKU 1 was also found especially to affect young children (13,16). A specific study on the role of respiratory viruses in children with lower respiratory tract infections in Latvia failed to detect HKU 1 in any of the samples studied (17).…”

Section: Discussionmentioning

confidence: 91%

“…Most studies of the virus concern children. Many studies have described its role in acute respiratory infections in children, although it seems to be an infrequent factor of disease compared to other coronaviruses (12,13), possibly partly because immunization against other coronaviruses of the same group (betacoronavirus) could protect against infection by CoV HKU 1 (14). Previous analysis of respiratory specimens from children in our area with acute respiratory tract infections shows that coronaviruses accounted for less than 2% of the causative pathogens and the HKU 1 strain was never identified (7); similar results were obtained in other parts of Italy (8,15).…”

Section: Discussionmentioning

confidence: 99%

Coronavirus HKU 1 infection with bronchiolitis, pericardial effusion and acute respiratory failure in obese adult female

et al. 2020

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Seven species of coronavirus cause acute respiratory illness in humans. Coronavirus HKU 1 (CoV HKU 1) was first described in 2005 in an adult patient with pneumonia in Hong Kong. Although it is a well-known respiratory tract pathogen, there is not much information about its role in hospitalized adults, especially in southern Europe. Here, we describe a case of radiologically demonstrated CoV HKU 1-related bronchiolitis with acute respiratory failure in an adult female without significant comorbidities except obesity. ARTICLE HISTORY

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Trends of Human Coronaviruses in Yamagata, Japan in 2015–2016 Focusing on the OC43 Outbreak of June 2016

Cited by 9 publications

References 12 publications

Longitudinal epidemiology of human coronavirus OC43 in Yamagata, Japan, 2010–2017: Two groups based on spike gene appear one after another

Longitudinal epidemiology of human coronavirus OC43 in Yamagata, Japan, 2010–2017: Two groups based on spike gene appear one after another

Climate and Covid-19 - Upgrade and solar radiation influences based on Brazil cases

Coronavirus HKU 1 infection with bronchiolitis, pericardial effusion and acute respiratory failure in obese adult female

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