2007 ◽  
Vol 177 (4S) ◽  
pp. 469-470 ◽  
Author(s):  
Stephen A. Boorjian ◽  
Sameer A. Siddiqui ◽  
Brant A. Inman ◽  
Jeffrey M. Slezak ◽  
R. Jeffrey Karnes ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 279-279
Author(s):  
Stacy Loeb ◽  
Xiaoying Yu ◽  
Kimberly A. Roehl ◽  
Robert B. Nadler ◽  
Theresa Graif ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 447-447
Author(s):  
Matthew K. Tollefson ◽  
Jeffrey M. Slezak ◽  
Horst Zincke ◽  
Michael L. Blute

2005 ◽  
Vol 173 (4S) ◽  
pp. 257-257 ◽  
Author(s):  
Shomik Sengupta ◽  
Jeffrey M. Slezak ◽  
Eric J. Bergstralh ◽  
Bradley C. Leibovich ◽  
Robert P. Myers ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 215-215 ◽  
Author(s):  
Urs E. Studer ◽  
Laurence Collette ◽  
Peter Whelan ◽  
Walter Albrecht ◽  
Jacques Casselman ◽  
...  

Author(s):  
Rupak Chakravarty ◽  
Jyoti Sharma

The present study focuses on analysis of research output in the discipline of Library and Information Science at Panjab University, Chandigarh and Guru Nanak Dev University, Amritsar till 31 December 2014. The curriculum vitae (CV) and publication details of faculty members of Department of Library and Information Science were obtained by personal visit to universities and bibliographic information on their papers were recorded. The study deals with 152 publications of Panjab University, Chandigarh and 111 publications of Guru Nanak Dev University, Amritsar, in the field of Library and Information Science. It examines the Library and Information Science output by different ways like document type, authorship pattern, and degree of collaboration. The study also examines the relative growth rate of publications and doubling time for publications.


2020 ◽  
Author(s):  
Ahmed Youssef Kada

BACKGROUND Covid-19 is an emerging infectious disease like viral zoonosis caused by new coronavirus SARS CoV 2. On December 31, 2019, Wuhan Municipal Health Commission in Hubei province (China) reported cases of pneumonia, the origin of which is a new coronavirus. Rapidly extendable around the world, the World Health Organization (WHO) declares it pandemic on March 11, 2020. This pandemic reaches Algeria on February 25, 2020, date on which the Algerian minister of health, announced the first case of Covid-19, a foreign citizen. From March 1, a cluster is formed in Blida and becomes the epicentre of the coronavirus epidemic in Algeria, its total quarantine is established on March 24, 2020, it will be smoothly alleviated on April 24. A therapeutic protocol based on hydroxychloroquine and azithromycin was put in place on March 23, for complicated cases, it was extended to all the cases confirmed on April 06. OBJECTIVE This study aimed to demonstrate the effectiveness of hydroxychloroquin/azithromycin protocol in Algeria, in particular after its extension to all patients diagnosed COVID-19 positive on RT-PCR test. We were able to illustrate this fact graphically, but not to prove it statistically because the design of our study, indeed in the 7 days which followed generalization of therapeutic protocol, case fatality rate decrease and doubling time increase, thus confirming the impact of wide and early prescription of hydroxychloroquin/azithromycin protocol. METHODS We have analyzed the data collected from press releases and follow-ups published daily by the Ministry of Health, we have studied the possible correlations of these data with certain events or decisions having a possible impact on their development, such as confinement at home and its reduction, the prescription of hydroxychloroquine/azithromycin combination for serious patients and its extension to all positive COVID subjects. Results are presented in graphics, the data collection was closed on 31/05/2020. RESULTS Covid-19 pandemic spreads from February 25, 2020, when a foreign citizen is tested positive, on March 1 a cluster is formed in the city of Blida where sixteen members of the same family are infected during a wedding party. Wilaya of Blida becomes the epicentre of coronavirus epidemic in Algeria and lockdown measures taken, while the number of national cases diagnosed begins to increases In any event, the association of early containment measures combined with a generalized initial treatment for all positive cases, whatever their degree of severity, will have contributed to a reduction in the fatality rate of COVID 19 and a slowing down of its doubling time. CONCLUSIONS In Algeria, the rapid combination of rigorous containment measure at home and early generalized treatment with hydroxychloroquin have demonstrated their effectiveness in terms of morbidity and mortality, the classic measures of social distancing and hygiene will make it possible to perpetuate these results by reducing viral transmission, the only unknown, the reopening procedure which can only be started after being surrounded by precautions aimed at ensuring the understanding of the population. CLINICALTRIAL Algeria, Covid-19, pandemic, hydroxychloroquin, azithromycin, case fatality rate


Surgery Today ◽  
2019 ◽  
Vol 49 (8) ◽  
pp. 656-660 ◽  
Author(s):  
Koichi Fukumoto ◽  
Takayuki Fukui ◽  
Koji Kawaguchi ◽  
Shota Nakamura ◽  
Shuhei Hakiri ◽  
...  

Author(s):  
Lina Díaz-Castro ◽  
Héctor Cabello-Rangel ◽  
Kurt Hoffman

Background. The doubling time is the best indicator of the course of the current COVID-19 pandemic. The aim of the present investigation was to determine the impact of policies and several sociodemographic factors on the COVID-19 doubling time in Mexico. Methods. A retrospective longitudinal study was carried out across March–August, 2020. Policies issued by each of the 32 Mexican states during each week of this period were classified according to the University of Oxford Coronavirus Government Response Tracker (OxCGRT), and the doubling time of COVID-19 cases was calculated. Additionally, variables such as population size and density, poverty and mobility were included. A panel data model was applied to measure the effect of these variables on doubling time. Results. States with larger population sizes issued a larger number of policies. Delay in the issuance of policies was associated with accelerated propagation. The policy index (coefficient 0.60, p < 0.01) and the income per capita (coefficient 3.36, p < 0.01) had a positive effect on doubling time; by contrast, the population density (coefficient −0.012, p < 0.05), the mobility in parks (coefficient −1.10, p < 0.01) and the residential mobility (coefficient −4.14, p < 0.01) had a negative effect. Conclusions. Health policies had an effect on slowing the pandemic’s propagation, but population density and mobility played a fundamental role. Therefore, it is necessary to implement policies that consider these variables.


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