scholarly journals THE IMPACT OF COVID-19 ON FARMERS' ECONOMIC INCOME IN HUBEI PROVINCE OF CHINA DURING THE COVID-19 EPIDEMIC

2021 ◽  
Vol 10 (4) ◽  
pp. 1186-1205
Author(s):  
Mingzhe E ◽  
Bin Zhao ◽  
Jinming Cao
Keyword(s):  
Hubei Province ◽  
The Impact ◽  
Economic Income

scholarly journals The impact of COVID-19 on Farmers' Economic Income in Hubei Province of China

2021 ◽  
Vol 3 (2) ◽  
pp. 01-11
Author(s):  
Bin Zhao
Keyword(s):  
Factor Analysis ◽  
Arima Model ◽  
Hubei Province ◽  
Disposable Income ◽  
Total Output ◽  
The Real ◽  
Per Capita ◽  
The Impact ◽  
Capita Disposable Income ◽  
Economic Income

This paper discusses the statistical measurement of the impact of COVID-19 major emergencies on farmers' economic income in Hubei Province. Hubei Province was selected as the object of analysis, and five data of total output value of agriculture, forestry, animal husbandry, fishery and per capita disposable income of farmers in Hubei Province from the first quarter of 2013 to the second quarter of 2020 were collected by using the Internet. Since all the collected data were macroeconomic data, these data were taken the logarithm to meet the economic significance. The per capita disposable income of farmers was taken as the response variable, and the main factors affecting farmers' income were obtained by factor analysis. Livestock husbandry and fishery industries were the main industries in Hubei Province. Then the score of factor analysis were taken as explained variable to establish regression model composed of influencing factors. This paper use the multiple linear regression, support vector regression to fitting and forecasting data, ARIMA model of time series analysis, introduced at the same time, through the AIC model choice, with the first quarter of 2013 to 2019 in the second quarter fitting training, backward prediction two quarters, and three or four quarter of 2019 compared with the real data, through to the predicted results of the sequence diagram and evaluation index model to compare the mean square error (RMSE). Three models predict per capita disposable income of farmers in the first and second quarter of 2020. It has been found that performance better ARIMA model in the model compare is worse than before, and three kinds of predicted values are higher than the real value of the model, showed the outbreak to the influence of the agricultural economy in hubei province is serious. On this basis, taking into account the characteristics of geomorphic climate in Hubei province, the constructive suggestions are put forward.

scholarly journals Impact of COVID-19 on the Healthcare of Patients With Inflammatory Bowel Disease: A Comparison Between Epicenter vs. Non-epicenter Areas

2020 ◽  
Vol 7 ◽  
Author(s):  
Yun Qiu ◽  
Ying-Fan Zhang ◽  
Liang-Ru Zhu ◽  
Jin-Shen He ◽  
Jin-Yu Tan ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Elective Surgery ◽  
Guangdong Province ◽  
Hubei Province ◽  
Survey Study ◽  
Real World Setting ◽  
Before And After ◽  
Inflammatory Bowel ◽  
The Impact

Background and Aims: The COVID-19 pandemic poses a great challenge to healthcare. We aimed to investigate the impact of COVID-19 on the healthcare of patients with inflammatory bowel disease (IBD) in epicenter and non-epicenter areas.Methods: Patients with IBD from Hubei province (the epicenter of COVID-19) and Guangdong province (a non-epicenter area), China were surveyed during the pandemic. The questionnaire included change of medications (steroids, immunomodulators, and biologics), procedures (lab tests, endoscopy, and elective surgery), and healthcare mode (standard healthcare vs. telemedicine) during 1 month before and after the outbreak of COVID-19.Results: In total, 324 IBD patients from Guangdong province (non-epicenter) and 149 from Hubei province (epicenter) completed the questionnaire with comparable demographic characteristics. Compared to patients in Guangdong province (non-epicenter), significantly more patients in Hubei (epicenter) had delayed lab tests/endoscopy procedures [61.1% (91/149) vs. 25.3% (82/324), p < 0.001], drug withdrawal [28.6% (43/149) vs. 9.3% (30/324), p < 0.001], delayed biologics infusions [60.4% (90/149) vs. 19.1% (62/324), p < 0.001], and postponed elective surgery [16.1% (24/149) vs. 3.7% (12/324), p < 0.001]. There was an increased use of telemedicine after the outbreak compared to before the outbreak in Hubei province [38.9% (58/149) vs. 15.4% (23/149), p < 0.001], while such a significant increase was not observed in Guangdong province [21.9% (71/324) vs. 18.8% (61/324), p = 0.38]. Approximately two-thirds of IBD patients from both sites agreed that telemedicine should be increasingly used in future medical care.Conclusions: Our patient-based survey study in a real-world setting showed that COVID-19 resulted in a great impact on the healthcare of patients with IBD, and such an impact was more obvious in the epicenter compared to the non-epicenter area of COVID-19. Telemedicine offers a good solution to counteract the challenges in an unprecedented situation such as COVID-19.

scholarly journals The descriptive epidemiology of coronavirus disease 2019 during the epidemic period in Lu'an, China: achieving limited community transmission using proactive response strategies

2020 ◽  
Vol 148 ◽  
Author(s):  
Wei Qin ◽  
Jie Sun ◽  
Pengpeng Xu ◽  
Tianqi Gong ◽  
Xiude Li ◽  
...  
Keyword(s):  
Early Stage ◽  
Asymptomatic Carrier ◽  
Hubei Province ◽  
Initial Symptom ◽  
Asymptomatic Carriers ◽  
Epidemic Period ◽  
Imported Cases ◽  
Community Transmission ◽  
The Mean ◽  
The Impact

Abstract Hubei province in China has had the most confirmed coronavirus disease 2019 (COVID-19) cases and has reported sustained transmission of the disease. Although Lu'an city is adjacent to Hubei province, its community transmission was blocked at the early stage, and the impact of the epidemic was limited. Therefore, we summarised the overall characteristics of the entire epidemic course in Lu'an to help cities with a few imported cases better contain the epidemic. A total of 69 confirmed COVID-19 cases and 11 asymptomatic carriers were identified in Lu'an during the epidemic from 12 January to 21 February 2020. Fifty-two (65.0%) cases were male, and the median age was 40 years. On admission, 56.5% of cases had a fever as the initial symptom, and pneumonia was present in 89.9% of cases. The mean serial interval and the mean duration of hospitalisation were 6.5 days (95% CI: 4.8–8.2) and 18.2 days (95% CI: 16.8–19.5), respectively. A total of 16 clusters involving 60 cases (17 first-generation cases and 43 secondary cases) were reported during the epidemic. We observed that only 18.9% (7/37) index cases resulted in community transmission during the epidemic in Lu'an, indicating that the scale of the epidemic was limited to a low level in Lu'an city. An asymptomatic carrier caused the largest cluster, involving 13 cases. Spread of COVID-19 by asymptomatic carriers represents an enormous challenge for countries responding to the pandemic.

scholarly journals Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China

2020 ◽  
Vol 55 (6) ◽  
pp. 2000562 ◽  
Author(s):  
Wen-hua Liang ◽  
Wei-jie Guan ◽  
Cai-chen Li ◽  
Yi-min Li ◽  
Heng-rui Liang ◽  
...  
Keyword(s):  
Critical Illness ◽  
Waiting Time ◽  
Symptom Onset ◽  
Clinical Characteristics ◽  
Hubei Province ◽  
Hospitalised Patients ◽  
Severe Event ◽  
Prolonged Duration ◽  
Key Factor ◽  
The Impact

BackgroundDuring the outbreak of coronavirus disease 2019 (COVID-19), consistent and considerable differences in disease severity and mortality rate of patients treated in Hubei province compared to those in other parts of China have been observed. We sought to compare the clinical characteristics and outcomes of patients being treated inside and outside Hubei province, and explore the factors underlying these differences.MethodsCollaborating with the National Health Commission, we established a retrospective cohort to study hospitalised COVID-19 cases in China. Clinical characteristics, the rate of severe events and deaths, and the time to critical illness (invasive ventilation or intensive care unit admission or death) were compared between patients within and outside Hubei. The impact of Wuhan-related exposure (a presumed key factor that drove the severe situation in Hubei, as Wuhan is the epicentre as well the administrative centre of Hubei province) and the duration between symptom onset and admission on prognosis were also determined.ResultsAt the data cut-off (31 January 2020), 1590 cases from 575 hospitals in 31 provincial administrative regions were collected (core cohort). The overall rate of severe cases and mortality was 16.0% and 3.2%, respectively. Patients in Hubei (predominantly with Wuhan-related exposure, 597 (92.3%) out of 647) were older (mean age 49.7 versus 44.9 years), had more cases with comorbidity (32.9% versus 19.7%), higher symptomatic burden, abnormal radiologic manifestations and, especially, a longer waiting time between symptom onset and admission (5.7 versus 4.5 days) compared with patients outside Hubei. Patients in Hubei (severe event rate 23.0% versus 11.1%, death rate 7.3% versus 0.3%, HR (95% CI) for critical illness 1.59 (1.05–2.41)) have a poorer prognosis compared with patients outside Hubei after adjusting for age and comorbidity. However, among patients outside Hubei, the duration from symptom onset to hospitalisation (mean 4.4 versus 4.7 days) and prognosis (HR (95%) 0.84 (0.40–1.80)) were similar between patients with or without Wuhan-related exposure. In the overall population, the waiting time, but neither treated in Hubei nor Wuhan-related exposure, remained an independent prognostic factor (HR (95%) 1.05 (1.01–1.08)).ConclusionThere were more severe cases and poorer outcomes for COVID-19 patients treated in Hubei, which might be attributed to the prolonged duration of symptom onset to hospitalisation in the epicentre. Future studies to determine the reason for delaying hospitalisation are warranted.

scholarly journals Synchronized travel restrictions across cities can be effective in COVID-19 control

2020 ◽  
Author(s):  
Haiyan Liu ◽  
Xuemei Bai ◽  
Huanfeng Shen ◽  
Xiaoping Pang ◽  
Zeyu Liang ◽  
...  
Keyword(s):  
Hubei Province ◽  
Mobility Patterns ◽  
Chinese Cities ◽  
The Third ◽  
Travel Restrictions ◽  
The Impact

AbstractThe COVID-19 outbreak is under control in China. Mobility interventions, including both the Wuhan lockdown and travel restrictions in other cities, have been undertaken in China to mitigate the epidemic. However, the impact of mobility restrictions in cites outside Wuhan has not been systematically analyzed. Here we ascertain the relationships between all mobility patterns and the epidemic trajectory in Chinese cities outside Hubei Province, and we estimate the impact of local travel restrictions. We estimate local inter-city travel bans averted 22.4% (95% PI: 16.8–27.9%) more infections in the two weeks after the Wuhan lockdown, while local intra-city travel prevented 32.5% (95% PI: 18.9–46.1%) more infections in the third and fourth weeks. More synchronized implementation of mobility interventions would further decrease the number of confirmed cases in the first two weeks by 15.7% (95% PI:15.4–16.0%). This study shows synchronized travel restrictions across cities can be effective in COVID-19 control.

scholarly journals Evaluasi Program Pemberdayaan Usaha Mikro Kecil dan Menengah (UMKM) LAZISMU Magetan dengan Pendekatan Diagram Kartesius

Al-Muzara ah ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 147-165
Author(s):  
Azhar Alam ◽  
Harun ◽  
Nisrina Mar-atus Sholihah ◽  
Aditya Nurrahman
Keyword(s):  
Service Quality ◽  
Communication Skill ◽  
Descriptive Analysis ◽  
Strategic Location ◽  
Survey Results ◽  
Cartesian Coordinate ◽  
The Impact ◽  
Priority Factor ◽  
Economic Income

This study aimed to determine the effect of zakat empowerment with MSMEs on the economic people empowerment according to the mustahik perceptions. This research used descriptive analysis with Cartesian coordinate approach. The results showed that the quality of LAZISMU in the MSMEs empowerment program in each dimension of tangible, reliability, responsiveness, assurance, and empathy was almost entirely good quality. The tangible dimension can be shown through the ease of procedures for submitting assistance and the period of its realization. The suitability between everything described by the officer with the reality on the reliable dimension is the main priority factor. The politeness, friendliness and communication skill of officers in the empathy dimension are factors that must be maintained. While transparency in providing information on survey results on the assurance dimension is a low priority factor. The monitoring on the impact of empowerment on the responsiveness dimension and the strategic location of the LAZISMU office on the tangible dimension was considered excessive. There is an effect of zakat empowerment with MSMEs on increasing the people's economic income in terms of service quality according to the perceptions of mustahik. This research suggests LAZISMU Magetan for accelerates the realization of assistance proposals and the ease in applying for assistance.

scholarly journals On farmers’ Economic Income in Hubei Province of China During the COVID-19 Epidemic

2021 ◽  
pp. 1-9
Author(s):  
Bin Zhao ◽  
Jinming Cao
Keyword(s):  
Factor Analysis ◽  
Arima Model ◽  
Hubei Province ◽  
Disposable Income ◽  
Total Output ◽  
Support Vector ◽  
The Real ◽  
Per Capita ◽  
Capita Disposable Income ◽  
Economic Income

This paper discusses the statistical measurement of the impact of COVID-19 major emergencies on farmers’ economic income in Hubei Province. Hubei Province was selected as the object of analysis, and five data of total output value of agriculture, forestry, animal husbandry, fishery and per capita disposable income of farmers in Hubei Province from the first quarter of 2013 to the second quarter of 2020 were collected by using the Internet. Since all the collected data were macroeconomic data, these data were taken the logarithm to meet the economic significance. The per capita disposable income of farmers was taken as the response variable, and the main factors affecting farmers’ income were obtained by factor analysis. Livestock husbandry and fishery industries were the main industries in Hubei Province. Then the score of factor analysis were taken as explained variable to establish a regression model composed of influencing factors. This paper uses the multiple linear regression, support vector regression to fitting and forecasting data, ARIMA model of time series analysis, introduced at the same time, through the AIC model choice, with the first quarter of 2013 to 2019 in the second quarter fitting training, backward prediction two quarters, and three or four quarter of 2019 compared with the real data, through to the predicted results of the sequence diagram and evaluation index model to compare the mean square error (RMSE). Three models predict per capita disposable income of farmers in the first and second quarter of 2020. It has been found that performance better ARIMA model in the model compare is worse than before, and three kinds of predicted values are higher than the real value of the model, showed the outbreak to the influence of the agricultural economy in Hubei province is serious. On this basis, taking into account the characteristics of geomorphic climate in Hubei province, constructive suggestions are put forward.

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