Synthesis of BLF1-containing trimethyl chitosan nanoparticles and evaluation of its immunogenicity and protection in syrian mice by oral and subcutaneous injections.

The bacterium Burkholderia pseudomallei is the cause of melioidosis infectious disease. In this bacterium, the BLF1 protein wide inhibits the synthesis of proteins in human cells. This disease is reported to cause a death rate of 40% in some parts of the world.

Death Reporting in Breakthrough and Unvaccinated SARS-CoV-2 Infection Cases.

Vaccines are undeniably an important tool for controlling infectious disease outbreaks, and they are the most certain way to end the epidemic risk. This brief report describes the characteristics of coronavirus disease 2019 (COVID-19) deaths among breakthrough and unvaccinated cases hospitalized in Fars province in the south of Iran. This cross-sectional study was performed to compare breakthrough and unvaccinated death cases in Fars, Iran (February 2, to August 19, 2021).

Liver Biomarkers Assay in COVID-19 Cases: A Comparison Study between Alive and Dead Patients.

Background: Identifying effective biomarkers plays a critical role on screening; rapid diagnosis; proper managements and therapeutic options, which is helpful in preventing serious complications. The present study aimed to compare the liver laboratory tests between alive and dead hospitalized cases for prediction and proper management of the patients.

Methods: This retrospective, cross sectional study consists of all deceased patients admitted in one center in Shiraz, Iran during 19 Feb 2020 to 22 Aug 2021.

Epidemiology of Influenza in Fars Province, Southern Iran; a Population-Based Study (2015-2019).

Background: Influenza is one of the most important viral diseases with high mortality and morbidity that can have a great impact on public health and economy.

Objective: To investigate the clinical and epidemiological features of influenza virus A/H1N1, A/H3N2, and B infection in Fars province, southern Iran, in 2015-2019.

Methods: In this retrospective cross-sectional study, we assessed the archived data of Syndromic Surveillance System of Iran's Health Ministry, allowed access by Communicable Diseases' Unit of Health chancellor of Shiraz University of Medical Sciences, from December 22, 2015 to September 22, 2019.

Designing a Multicenter Registry of COVID-19 and Other Respiratory Infections in Fars, Iran.

Objective: A year after the emergence of a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as a new crisis in respiratory infections, there remain many uncertainties and unknowns about SARS-CoV-2 and the disease it causes, called (). Although COVID-19 is known as a respiratory disease, some atypical manifestations have been seen, different from those seen in other types of viral respiratory infections. This paper aims to describe designing, launching, and implementing a data collection system for all respiratory diseases, with a focus on SARS-CoV-2 from the onset of this pandemic.

Characteristics of deceased patients with CoVID-19 after the first peak of the epidemic in Fars province, Iran.

Emergence of a new coronavirus causes a serious concern whether this can be stopped at all. The ongoing coronavirus disease created a substantial variation in the fatality rate over the world. The current report brought an explore about the epidemiological characteristics of deceased patients and the fatality rate after the first peak in Fars province which is the fourth most populous and large province in Iran.

Survival rate in hypertensive patients with COVID-19.

Introduction: A life-threatening respiratory disease, coronavirus 2019 (COVID-19), has spread across the globe since December 2019. Many prognostic factors have already been put forward to predict the risk of death and other outcomes. The current study is evaluating the survival rate between hypertensive and non-hypertensive infected patients.

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques.

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species.