Results 181 to 190 of about 555,675 (306)

Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA). [PDF]

BMC Public Health, 2021
Jesri N, Saghafipour A, Koohpaei A, Farzinnia B, Jooshin MK, Abolkheirian S, Sarvi M.   +6 more
europepmc   +2 more sources

The association between Dietary Fat Quality (DFQ) indices, coronary occlusion, and lipid profile among adults living in Central Iran. [PDF]

Lipids Health Dis
Goodarzi S, Sasanfar B, Toorang F, Darabi Z, Golvardi-Yazdi F, Motallaei M, Sarebanhassanabadi M, Seyedhosseini S, Salehi-Abargouei A.   +8 more
europepmc   +1 more source

Toxoplasma gondii in Sheep and Goats from Central Iran. [PDF]

BMC Res Notes, 2021
Bahreh M, Hajimohammadi B, Eslami G.
europepmc   +1 more source

Forecasting heart failure: Seasonal alignment of heart failure outcomes in New York

ESC Heart Failure, Volume 12, Issue 2, Page 819-831, April 2025.
Abstract Background Seasonal variations have been observed in heart failure (HF) hospitalization. Numerous explanatory mechanisms have been proposed, but no prior studies have examined potential contributors directly. Our objective was to identify specific factors that could contribute to seasonal variability using a large longitudinal dataset of HF ...
Prerna Gupta, Ellen Brinza, Prateeti Khazanie, Pamela N. Peterson, P Michael Ho, David P. Kao   +5 more
wiley   +1 more source

Extensive surveillance of mosquitoes and molecular investigation of arboviruses in Central Iran. [PDF]

Ann Med Surg (Lond)
Abedi-Astaneh F, Rad HR, Izanlou H, Hosseinalipour SA, Hamta A, Eshaghieh M, Ebrahimi M, Ansari-Cheshmeh MA, Pouriayevali MH, Salehi-Vaziri M, Jalali T, Talbalaghi A, Abbasi E.   +12 more
europepmc   +1 more source

Multivariate linear regression to predict association of non‐invasive arterial stiffness with cardiovascular events

ESC Heart Failure, Volume 12, Issue 2, Page 1141-1150, April 2025.
Abstract Background Arterial stiffness is a crucial factor in determining an increase in systolic blood pressure and pulse pressure and can also predict the development of cardiovascular disease (CVD). The purpose of this study was to examine the relationship between arterial stiffness and future CVD.
Susan Darroudi, Mostafa Eslamiyeh, Amin Mansoori, Eisa Nazar, Maryam Alinezhad‐Namaghi, Reza Rezvani, Majid Ghayour‐Mobarhan, Habibollah Esmaily, Mohsen Moohebati, Gordon A. Ferns, Mark Ghamsary   +10 more
wiley   +1 more source

Ticks (<i>Argasidae</i> and <i>Ixodidae</i>) in Tehran Province, Central Iran: Distribution and Seasonal Activity. [PDF]

Vet Med Int
Beik-Mohammadi M, Beik-Mohammadi M, Tavassoli M, Telmadarraiy Z, Vatandoost H, Dabiri F.   +5 more
europepmc   +1 more source

Occurrence and genetic characterization of Echinococcus granulosus sensu lato from domestic animals in Central Iran. [PDF]

BMC Vet Res, 2022
Hajimohammadi B, Dalimi A, Eslami G, Ahmadian S, Zandi S, Baghbani A, Hosseini SS, Askari V, Sheykhzadegan M, Ardekani MN, Boozhmehrani MJ, Ranjbar MJ, Ghoshouni H, Vakili M.   +13 more
europepmc   +1 more source

Comparative performance of risk prediction indices for mortality or readmission following heart failure hospitalization

ESC Heart Failure, Volume 12, Issue 2, Page 1227-1236, April 2025.
Comparative performance of 7 risk prediction indices in patients hospitalized for heart failure. In this cohort of 1206 patients, the LENT index offered the greatest discrimination, calibration, and overall accuracy in predicting 30‐day composite all‐cause mortality or readmission following hospitalization for heart failure.
Tauben Averbuch, Ali Zafari, Shofiqul Islam, Shun Fu Lee, Rajiv Sankaranarayanan, Stephen J Greene, Mamas A Mamas, Ambarish Pandey, Harriette GC Van Spall   +8 more
wiley   +1 more source

Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models. [PDF]

Sci Rep
Molaeinasab A, Bashari H, Esfahani MT, Pourmanafi S, Toomanian N, Aghasi B, Jalalian A.   +6 more
europepmc   +1 more source