The novel coronavirus-infected pneumonia (NCIP) was first recognized in December 2019 in Wuhan, China and then spread successively around the world. The epidemic has spread rapidly and aroused widespread concern and panic in China with more than 80 thousand recorded infections and over 3 thousand deaths by March 2020. We have examined the effects of atmospheric conditions on the incidence of NCIP in Wuhan, Hubei province. Our results indicate a significant correlation between the new confirmed NCIP case and maximum wind velocity (r2=0.713). Both mean temperature (r2=-0.691) and air pressure (r2=-0.503) have negative associations with daily new cases. The regression equation y = 4590.899 − 1.239𝑥𝑡 − 0.442𝑥𝑝 + 0.579𝑥𝑤 was derived to define the optimal climatic conditions for the NCIP epidemic. To verify these results, further investigations in other regions are necessary.
Background: With the outbreak of novel coronavirus, the global epidemic prevention form is severe. Purpose: This paper aimed to investigate the association between meteorological factors (temperature, precipitation and relative humidity) and the daily new cases in Wuhan. Methods: generalized linear model was built to evaluate the link between daily average temperature and the new cases COVID-19. Spearman rank correlation coefficient was used to investigate the association between temperature, relative humidity, precipitation and the daily new cases COVID-19. Result: The correlation coefficient for daily average temperature, relative humidity, precipitation and NCP were 0.11, -0.083 and 0.17, respectively. The maximal effect of temperature on the new cases NCP appeared on Lag0. Conclusion: The variation of temperature had an effect on the daily new cases.
More evidences showed that there was a relationship between air pollution and hospitalization of acute exacerbation of chronic obstructive pulmonary disease. This paper aimed to investigate the effect of air pollution (fine particulate matter, inhalable particle, sulfur dioxide, nitrogen dioxide and ozone) on the hospitalization for acute exacerbation of chronic obstructive pulmonary disease. Thus, generalized additive model was built to evaluate the impact of air pollution on people’s respiratory system. After controlling for temperature and relative humidity, the increase in average daily concentrations of PM2.5, PM10 and O3 would aggravate the risk of admission of patients with acute exacerbation of chronic obstructive pulmonary disease, and the results were statistically significant.
The purpose of this paper is to gather information and opinions to better guide the direction for implementing improvements of the senior centers' indoor environments located in Jeonju residential areas, by surveying the users about the level of satisfaction and analyzing the result in relation to the current situation. Senior centers located in Jeonju residential areas were operating the facilities with low financial support from the local autonomous entity. According to the results of the survey, most of the users tend to use the facilities between 12p.m. to 6p.m., and the majority have lunch at the senior centers. Most of the senior centers already have cooking facilities, without a dining room, except one place, and even the facilities they have are very poor. In a thermal environment area, the temperature is mostly above in summer or below in winter the appropriate temperature, especially the temperature of the restroom of all senior centers are below 20 o C in winter. The density of carbon dioxide is above average in most indoor areas. However, the users' level of facilities' satisfaction was positive. To improve the seniors' quality of life, the local autonomous entity has to start regular check-ups and repair of the poor indoor environment and facilities, with more financial support and active supervision by senior center the management.
Background:The asymptomatic of COVID-2019 are getting more and more attention from all walks of life. Now, America has become the epicenter of the pandemic, with more reported cases and deaths than other regions of the world. Studying the development asymptomatic populations may play a key role in managing the outbreak effectively. Methods:We propose a new model to predict the course of the epidemic and simulate the transmission of the asymptomatic. The model considers seven stages of infection: susceptible (S), exposed (E), infected (I), asymptomatic (A), confirmed (C), recovered (R), dead (D), we named it as SEIACRD. We used a model to study the interaction between asymptomatic patients and viral transmission.Result:Our model confirms that about 12 million people will be infected with the virus. Changes in mortality rates will be volatile, first falling, then rising. Not only the number of patients, but also the spread of the epidemic will be affected by the ability to detect asymptomatic persons. Contact with asymptomatic infected patients also significantly promoted the spread of the virus. But these methods had no significant effect on changes in patient mortality.Conclusion:American Asymptomatic patients have a strong interaction with epidemic transmission. They are no less at risk of transmission than symptomatic patients. In terms of controlling the number of infections, efforts to improve detection capacity are more effective than simply suppressing the spread of the virus. Extensive testing and effective social distancing measures should be taken to protect more people from the virus.
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