شیرزادی, محمدرضا

وزارت بهداشت، درمان و آموزش پزشکی ایران

[ 1 ] - پیش بینی مکانی-زمانی مناطق پرخطر بیماری لپتوسپیروز با استفاده از روش های رگرسیون وزندار جغرافیایی و شبکه عصبی پرسپترون چندلایه

تشخیص عوامل بیماری­زا، شناسایی تجمع مکانی بیماری و یافتن الگوی انتشار آن در محیط از ضروری­ترین نیازها در زمینه بهداشت عمومی و مدیریت بیماری­ها به شمار می­آیند. بیماری لپتوسپیروز یکی از بیماری­های مشترک انسان و دام می­باشد که تقریبا در تمام نقاط جهان به­ویژه در مناطق گرمسیری، نیمه­گرمسیری و نواحی گرم و مرطوب شیوع بیشتری دارد. شرایط آب و هوایی معتدل و مرطوب در استانهای شمالی ایران این مناطق را در...

[ 2 ] - The Role of the Gray Wolf in Rabies Transmission in Iran and Preliminary Assessment of an Oral Rabies Vaccine in this Animal

Introduction: In Iran, 95% of animal bites are attributed to domestic dogs and cats, while one-third of rabies victims are from wildlife. The wolf is one of the primary vectors of wildlife in the country. This study was aimed to assess the impact of wildlife on rabies transmission and to evaluate the efficacy of an oral rabies vaccine (ORV) in the gray wolf (Canis lupus pallipes). Methods: We s...

[ 3 ] - Comparison of Immune Responses following Intradermal and Intramuscular Rabies Vaccination Methods

Rabies is a zoonotic viral disease. The causative agent is a negative-sense RNA genome virus of the genus Lyssavirus (Family: Rhabdoviridae). The disease, commonly transmitted by rabid dogs, is the cause of mortality of over 59000 humans worldwide annually. This disease can be prevented before the development of symptoms through proper vaccination even after exposure. Hence, improvement of the ...

[ 4 ] - Rabies Surveillance System in Iran: History, Structures, and Achievements

Background and Objectives: The purpose of this study was to present a summary of the rabies surveillance program in humans in the country, its achievements and its strengths and weaknesses.   Methods: This study was a review of the country's plan for surveillance and control of rabies in humans. The sources of information included the data, reports, documents, and published guidelines. The vi...

[ 5 ] - Modeling and analysis of leishmaniasis distribution process using multilayer perceptron neural network and support vector regression (Case study: villages of Isfahan province)

Villages located in Isfahan province are one of the areas prone to the spread of cutaneous leishmaniasis, which is characterized by the occurrence of wounds on the skin. To predict the future prevalence of cutaneous leishmaniasis, Continuous monitoring of the spatial distribution of this disease is essential. Disease modeling was performed using two machine learning algorithms called support ve...