Trends in Global Warming and Evolution of Nucleoproteins from Influenza A Viruses since 1918

Yan, Shaomin; Wu, Guang

doi:10.1111/j.1865-1682.2010.01164.x

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…Another climatic factor was the minimum temperature, which is slowly rising due to the influence of human activities. In recent years, multiple studies have proposed that global warming will likely influence the life of all living species, including the evolution of influenza A virus [20,21]. Furthermore, Yan et al found that global warming affects many different levels of biological evolution; even intracellular proteins are subject to global warming [22].…”

Section: Discussionmentioning

confidence: 99%

Could Environment Affect the Mutation of H1N1 Influenza Virus?

Jiang

Wang

Bai

et al. 2020

IJERPH

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H1N1 subtype influenza A viruses are the most common type of influenza A virus to infect humans. The two major outbreaks of the virus in 1918 and 2009 had a great impact both on human health and social development. Though data on their complete genome sequences have recently been obtained, the evolution and mutation of A/H1N1 viruses remain unknown to this day. Among many drivers, the impact of environmental factors on mutation is a novel hypothesis worth studying. Here, a geographically disaggregated method was used to explore the relationship between environmental factors and mutation of A/H1N1 viruses from 2000–2019. All of the 11,721 geo-located cases were examined and the data was analysed of six environmental elements according to the time and location (latitude and longitude) of those cases. The main mutation value was obtained by comparing the sequence of the influenza virus strain with the earliest reported sequence. It was found that environmental factors systematically affect the mutation of A/H1N1 viruses. Minimum temperature displayed a nonlinear, rising association with mutation, with a maximum ~15 °C. The effects of precipitation and social development index (nighttime light) were more complex, while population density was linearly and positively correlated with mutation of A/H1N1 viruses. Our results provide novel insight into understanding the complex relationships between mutation of A/H1N1 viruses and environmental factors.

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Section: Discussionmentioning

confidence: 99%

Could Environment Affect the Mutation of H1N1 Influenza Virus?

Jiang

Wang

Bai

et al. 2020

IJERPH

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“…These include the uncertainty around the viral species' pathogenesis and its transmissibility mechanics. The role of urbanization [ 1 ], globalization [ 2 ], and global warming [ 3 ] in global pandemics still needs to be clarified, as is the part of social media on information spread and individual behaviors [ 4 , 5 ]. Hence, the reality is evidenced by the rates at which emerging infectious disease [ 6 ] gets transmitted on a large scale within days to cause global threats [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

A Review of the Mental Health Sequelae of the SARS-CoV-2 (COVID-19): Preparedness Perspective

Metellus¹,

Jegede²,

Brown³

et al. 2023

Cureus

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Despite the three significant epidemics that have rattled the world in the last two decades, many questions remain unanswered! The concept of unwanted psychological distress remains looming after any epidemic or pandemic. The public health burden of the COVID-19 pandemic still resonates with different aspects of life with predicted mental health sequelae. This review will focus on the role of natural disasters and past infectious epidemic-related mental health complications. Additionally, the study provides recommendations and policy suggestions for mitigating COVID-19-related mental health prevalence.

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“…During our recent studies on the potential influence of global warming on the evolution of proteins from influenza A virus [1][2][3][4][5], we noticed that the temperature fluctuates around the temperature trend. On the one hand, these fluctuations can be easily attributed to random effects; on the other hand, these fluctuations might imply that we might need a random model to describe the temperature pattern because the output of any deterministic model is generally a smooth curve.…”

Section: Introductionmentioning

confidence: 99%

Application of random walk model to fit temperature in 46 gamma world cities from 1901 to 1998

Yan¹,

Wu²

2010

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Very recently, we have applied the random walk model to fit the global temperature anomaly, CRUTEM3. With encouraging results, we apply the random walk model to fit the temperature walk that is the conversion of recorded tem-perature and real recorded temperature in 46 gamma world cities from 1901 to 1998 in this study. The results show that the random walk model can fit both temperature walk and real recorded temperature although the fitted results from other climate models are unavailable for comparison in these 46 cities. Therefore, the random walk model can fit not only the global temperature anomaly, but also the real recorded temperatures in various cities around the world

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Trends in Global Warming and Evolution of Nucleoproteins from Influenza A Viruses since 1918

Cited by 4 publications

References 54 publications

Could Environment Affect the Mutation of H1N1 Influenza Virus?

Could Environment Affect the Mutation of H1N1 Influenza Virus?

A Review of the Mental Health Sequelae of the SARS-CoV-2 (COVID-19): Preparedness Perspective

Application of random walk model to fit temperature in 46 gamma world cities from 1901 to 1998

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