ProMED: A Source of Epidemiological Data

نویسندگان

چکیده مقاله:

  Global health geographic observation can provide valuable information regarding mortality rate, consequences and complications of new diseases for the epidemiologists while emerging epidemic diseases. This observation requires information resources which makes the information regarding the diseases accessible at no cost. ProMED is an immediate reporting system for diseases outbreak and it can provide the information at no cost for epidemiologists at global dimensions. This information source, which is a basis for numerous researchers worldwide, has not been used by Iranian researchers due to their unfamiliarity with it. Key word: Contagious disease, Prevalence, ProMed, Data sources, Epidemiology   How to cite this article: Shamsi A, Masoudi F. ProMED: A Source of Epidemiological Data. J Rafsanjan Univ Med Sci 2020; 19 (1): 107-12. [Farsi].   [1]- MSc in Medical Library and Information Sciences, Bushehr University of Medical Sciences, Bushehr, Iran ORCID: 0000-0001-6528-9341 [2]- MSc, Medical Library and Information Sciences, Clinical Research Development Center, Nekouei-Hedayati-Forghani Hospital, Qom University of Medical Sciences, Qom, Iran, ORCID: 0000-0002-5167-3825. (Corresponding Author) Tel: (025) 31331604, Fax: (025) 31331622, E-mail: [email protected]

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

a study on insurer solvency by panel data model: the case of iranian insurance market

the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.

Human melioidosis reported by ProMED

OBJECTIVE There are limited sources describing the global burden of emerging diseases. A review of human melioidosis reported by ProMED was performed and the reliability of the data retrieved assessed in comparison to published reports. The effectiveness of ProMED was evaluated as a source of epidemiological data by focusing on melioidosis. METHODS Using the keyword 'melioidosis' in the ProME...

متن کامل

ProMED-mail: background and purpose.

Vol. 7, No. 3 Supplement, June 2001 Emerging Infectious Diseases 563 The online program to monitor emerging diseases (ProMED-mail) was established in 1994 with the support and encouragement of the Federation of American Scientists and SatelLife. The principal intent of ProMED-mail is to assist local, national, and international organizations in disseminating, as rapidly as possible, reports of ...

متن کامل

ProMED: a global early warning system for disease.

We have earlier published an automated statistical classifier of tRNA function called TFAM. Unlike tRNA gene-finders, TFAM uses information from the total sequences of tRNAs and not just their anticodons to predict their function. Therefore TFAM has an advantage in predicting initiator tRNAs, the amino acid charging identity of nonstandard tRNAs such as suppressors, and the former identity of p...

متن کامل

Clinical and Epidemiological Features of COVID-19 Patients in Rafsanjan County, Iran: A Secondary Data based Study

Background: Information about COVID-19 patients must be studied meticulously to control the COVID-19 pandemic more effectively. This study aimed to evaluate the clinical and epidemiological features of COVID-19 patients in Rafsanjan County.   Materials and Methods: In this descriptive study, data of 3,212 patients referred to the Ali-Ibn Abitaleb Hospital in Rafsanjan County, Iran were recorde...

متن کامل

[Multiple imputations for missing data: a simulation with epidemiological data].

In situations with missing data, statistical analyses are usually limited to subjects with complete data. However, such estimates may be biased. The method of 'filling in' missing data is called imputation. This article aimed to present a multiple imputation method. From a data set of 470 surgical patients, logistic models were developed for death as the outcome. Two incomplete data sets were g...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 19  شماره 1

صفحات  107- 112

تاریخ انتشار 2020-04

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

کلمات کلیدی برای این مقاله ارائه نشده است

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023