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Molecular typing of non-polio enteroviruses isolated from acute flaccid paralysis cases in Iran from 2010 to 2015
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作者 Ahmad Nejati mohammad farahmand +3 位作者 Hamideh Tabatabaie Maryam Yousefi Yaghoob Mollaei-Kandelous Shohreh Shahmahmoodi 《Virologica Sinica》 SCIE CAS CSCD 2017年第3期249-252,共4页
Dear Editor,Acute flaccid paralysis(AFP)is a complex syndrome often caused by polioviruses.While most countries have eradicated wild polioviruses by vaccination,AFP still remains a health problem in these countries.Mo... Dear Editor,Acute flaccid paralysis(AFP)is a complex syndrome often caused by polioviruses.While most countries have eradicated wild polioviruses by vaccination,AFP still remains a health problem in these countries.Most studies have highlighted non-polio enteroviruses(NPEVs) 展开更多
关键词 脊髓灰质炎病毒 肠道病毒 分离 伊朗 病例 麻痹 弛缓 急性
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Epidemiological evidence of mosquito-borne viruses among persons and vectors in Iran:A study from North to South
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作者 Abbas Ahmadi Vasmehjani Farhad Rezaei +8 位作者 mohammad farahmand Talat Mokhtari-Azad mohammad Reza Yaghoobi-Ershadi Mohsen Keshavarz Hamid Reza Baseri Morteza Zaim Mahmood Iranpour Habibollah Turki mohammad Esmaeilpour-Bandboni 《Virologica Sinica》 SCIE CAS CSCD 2022年第1期149-152,共4页
Dear Editor,Arthropod-borne viruses are a group of the most important emerging pathogens.They cause a range of diseases in vertebrate hosts and threaten human health(Gan and Leo,2014).The global distribution of arbovi... Dear Editor,Arthropod-borne viruses are a group of the most important emerging pathogens.They cause a range of diseases in vertebrate hosts and threaten human health(Gan and Leo,2014).The global distribution of arboviruses is associated with the vector which is strongly affected by changes in environmental conditions. 展开更多
关键词 conditions. diseases viruses
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Analysis of Shahid Rajaee hospital administrative data on injuries resulting from car accidents in Shiraz, Iran: 2011-2014 data
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作者 Mahnaz Yadollahi Aida Ghiassee +2 位作者 Mehrdad Anvar Hale Ghaem mohammad farahmand 《Chinese Journal of Traumatology》 CAS CSCD 2017年第1期27-33,共7页
Purpose: The administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajae... Purpose: The administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajaee hospital administrative data, we aimed to evaluate patients injured in car accidents in terms of age, gender, injury severity, injured body regions and hospitalization outcome in the recent four years (2011-2014). Methods: The hospital registry was accessed at Shiraz Trauma Research Center (Shiraz, lran) and the admission's unit data were merged with the information gathered upon discharge. A total number of 27,222 car accident patients aged over 15 years with International Classification of Diseases 10th revision (ICD-10) external causes of injury codes (V40.9-V49.9) were analyzed. Injury severity score and injured body regions were determined based on converting ICD-10 injury codes to Abbreviated Injury Scale (AIS- 98) severity codes using a domestically developed electronic algorithm. A binary logistic regression model was applied to the data to examine the contribution of all independent variables to in-hospital mortality. Results: Men accounted for 68.9% of the injuries and the male to female ratio was 2.2:1. The age of the studied population was (34 ±15) years, with more than 77.2% of the population located in the 15-45 years old age group. Head and neck was the most commonly injured body region (39.0%) followed by extremities (27.2%). Injury severity score (ISS) was calculated for 13,152 (48.3%) patients, of whom, 80.9% had severity scores less than 9. There were 332 patients (1.2%) admitted to the intensive care units and 422 in-hospital fatalities (1.5%) were recorded during the study period. Age above 65 years [OR = 7.4, 95%, CI (5.0-10.9)], ISS above 16 [OR - 9.1, 95% CI (5.5-14.9)], sustaining a thoracic inJury [OR - 7.4, 95%, CI (4.6 -11.9)] and head injury [OR - 4.9, 95%, CI (3.1-7.6)] were the most important independent predictors of death following car accidents. Conclusion: Hospital administrative databases of this hospital could be used as reliable sources of in- formation in providing epidemiologic reports of car accidents in terms of severity and outcomes. Improving the quality of recordings at hospital databases is an important initial step towards more comorehensive iniurv surveillance in Fats, Iran. 展开更多
关键词 Car accidents Epidemiology Injury severity score Mortality predictors Injury surveillance
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