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1.
Preprint in English | medRxiv | ID: ppmedrxiv-20037168

ABSTRACT

The novel coronavirus (SARS-CoV-2/2019-nCoV) identified in Wuhan, China, in December 2019 has caused great damage to public health and economy worldwide with over 140,000 infected cases up to date. Previous research has suggested an involvement of meteorological conditions in the spread of droplet-mediated viral diseases, such as influenza. However, as for the recent novel coronavirus, few studies have discussed systematically about the role of daily weather in the epidemic transmission of the virus. Here, we examine the relationships of meteorological variables with the severity of the outbreak on a worldwide scale. The confirmed case counts, which indicates the severity of COVID-19 spread, and four meteorological variables, i.e., air temperature, relative humidity, wind speed, and visibility, were collected daily between January 20 and March 11 (52 days) for 430 cities and districts all over China, 21 cities/provinces in Italy, 21 cities/provinces in Japan, and 51 other countries around the world. Four different time delays of weather (on the day, 3 days ago, 7 days ago, and 14 days ago) as to the epidemic situation were taken for modeling and we finally chose the weather two weeks ago to model against the daily epidemic situation as its correlated with the outbreak best. Taken Chinese cities as a discovery dataset, it was suggested that temperature, wind speed, and relative humidity combined together could best predict the epidemic situation. The meteorological model could well predict the outbreak around the world with a high correlation (r2>0.6) with the real data. Using this model, we further predicted the possible epidemic situation in the future 12 days in several high-latitude cities with potential outbreak. This model could provide more information for governments future decisions on COVID-19 outbreak control.

2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-507528

ABSTRACT

Objective To study the treatment efficacy of auricular point sticking for primary dysmenorrhea in college students, and to seek a convenient effective treatment method for primary dysmenorrhea.Method A total of 144 female college students with primary dysmenorrhea were randomized into an auricular point sticking group, a medication group, and a blank control group to receive the corresponding intervention. The dysmenorrhea intensity score and traditional Chinese medicine symptoms score for dysmenorrhea were used for observation.Result After the intervention, the recovery rate and total effective rate were respectively 64.6% and 91.7% in the auricular point sticking group, versus 39.6% and 70.8% in the medication group. There was a significant difference in comparing the therapeutic efficacy between the auricular point sticking group and medication group (P<0.05).Conclusion Auricular point sticking can produce a significant efficacy in treating primary dysmenorrhea in female college students, without adverse effects and convenient, and has a content long-term efficacy.

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