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

Background: Using geographical analysis to identify geographical factors related to the prevalence of COVID-19 infection can affect public health policies aiming at controlling the virus. This study aimed to determine the spatial analysis of COVID-19 in Qom Province, using the local indicators of spatial association (LISA).

Methods: In a primary descriptive-analytical study, all individuals infected with COVID-19 in Qom Province from February 19, 2020 to September 30, 2020 were identified and included in the study.

Spatial distribution of vaccine-preventable diseases in central Iran in 2015-2018: A GIS-based study.

Vaccination is the second most effective health measure to maintain public health and prevent diseases after providing safe drinking water. This study aimed to determine the geographical distribution of vaccine-preventable diseases (VPDs) in Qom Province in four years (2015-2018) using Geographic Information System (GIS). In this cross-sectional study, the indicators of VPDs surveillance were extracted from the VPDs surveillance system at the Centers for Disease Control and Prevention (CDC) in Qom University of Medical Sciences.

Spatial Distribution of Necrophagous Flies of Infraorder Muscomorpha in Iran Using Geographical Information System.

Medically important flies that majority of them are classified to synanthropic flies can be mechanical vectors for some of contagious diseases to human and many animals. Also some species of their larvae are cause of myiasis in human and livestock animals. The aim of this study was to determine the geographical distribution of medically important flies in Iran using Geographical Information System (GIS).

Epidemiological Study on Cutaneous Leishmaniasis in an Endemic Area, of Qom Province, Central Iran.

Background: Cutaneous leishmaniasis (CL) is one of the most important health problems in many areas of Iran. There are two forms of the disease in Iran, anthroponotic and zoonotic CL. This study conducted to assess the epidemiological situation of CL in an endemic area of Qom Province, central Iran from Apr to Nov 2015.

Control of zoonotic cutaneous leishmaniasis vector, Phlebotomus papatasi, using attractive toxic sugar baits (ATSB).

Introduction: Attractive Toxic Sugar Baits (ATSB) is a new vector control method that meets Integrated Vector Management (IVM) goals. In an experimental design, this study aimed to determine effects of ATSB on control of Phlebotomus papatasi, as a main vector of Zoonotic Cutaneous Leishmaniasis (ZCL), in Qom Province, center of Iran.

Methods: In a cross-sectional design, boric acid was mixed with brown sugar solution and tested as toxic baits for P.