DOCSLIB.ORG

Gastric and Esophageal Cancers Incidence Mapping in Golestan Province, Iran: Using Bayesianegibbs Sampling

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Gastric and Esophageal Cancers Incidence Mapping in Golestan Province, Iran: Using Bayesianegibbs Sampling View metadata, citation and similar papers at core.ac.uk brought to you by CORE Osong Public Healthprovided Res Perspectby Golestan 2015University 6(2), of Medical 100e 105Sciences Repository http://dx.doi.org/10.1016/j.phrp.2015.01.004 pISSN 2210-9099 eISSN 2233-6052 - ORIGINAL ARTICLE - Gastric and Esophageal Cancers Incidence Mapping in Golestan Province, Iran: Using BayesianeGibbs Sampling a b, Atefeh-Sadat Hosseintabar Marzoni , Abbas Moghimbeigi *, b Javad Faradmal aGolestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Golestan, Iran. bModeling of Noncommunicable Diseases Research Center, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. Received: October 26, Abstract 2014 Objectives: Recent studies of esophageal cancer (EC) and gastric cancer (GC) Revised: November 5, have been reported to have high incidence rates of these cancers in Golestan 2014 Province of Iran. The present study describes the geographical patterns of EC and Accepted: January 16, GC incidence based on cancer registry data and display statistically significant 2015 regions within this province. Methods: In order to map the distribution of upper gastrointestinal cancer, KEYWORDS: relative risk (RR) were calculated. Therefore, to estimate a more reliable RR, disease mapping, Poisson regression models were used. The adjusted models (adjusted to urban erural area, sex, and grouped age proportion) were utilized. We considered two- esophageal cancer, component random effects for each observation, an unstructured (non­ gastric cancer, correlated) and a group of “neighbor” (correlated) heterogeneities. We esti­ Poisson regression mated the model parameters using Gibbs sampling and empirical Bayes method. We used EC and GC data that were registered with Golestan Research Center of Gastroenterology and Hepatology in the years 2004e2008. Results: The EC and GC maps were drawn for 2004e2008 in the province. Kalaleh and Minoodasht counties have a high RR of EC and GC in the years of study. In almost all years, the areas with a high RR were steady. Conclusion: The EC and GC maps showed significant spatial patterns of risk in Golestan province of Iran. Further study is needed to multivariate clustering and mapping of cancers RRs with considering diet and socioeconomic factors. *Corresponding author. E-mail: [email protected], [email protected] (A. Moghimbeigi). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ª 2015 Korea Centers for Disease Control and Prevention. Published by Elsevier Korea LLC. All rights reserved. The Gastric and Esophageal Cancers Incidence Mapping 101 1. Introduction International Agency for Research on Cancer, the In­ ternational Association of Cancer Registries, and the About 70,000 new cases of cancer were diagnosed in World Health Organization. the Iranian population in 2008 [1]. Esophageal cancer (EC) is the second and the third most common malig­ nancy in Iranian men and women, respectively [2]. Also, 2.2. Statistical analysis gastric cancer (GC) is a major problem in the world and In many studies, the response variable is the counts of it is the second leading cause of cancer deaths [3]. The rare events, such as the number of new cancer cases in incidence rate of EC/GC is 6.25/8.89 and 5.83/15.21 for the population during a specified time. In such cases it is women and men, respectively (during the period assumed that the response variable has a Poisson dis­ 2005e2006) [4]. The northeastern part of Iran is known tribution [9]. In this study, SIR, the ratio of observed as the high-risk regions of the EC and GC in both male new cases (yiÞ to the expected number of new cases (eiÞ and female sexes [5]. Golestan is one of the northern was used as the response variable. provinces of Iran. The age-standardized incidence rate bq Z Zyi e i SIRi (ASR) per 100,000 person years of EC in Gonbad (a ei county in Golestan, Iran) is > 100 and this city is one of the high risk areas in the world [2]. The estimations of The SIR is a crude estimate of underlying regional- ASR (per 100,000) of EC are 17.6 and 14.4 in Iran [6] specific relative risks (RR). Hence smoothed estimates and 43.3 and 36.3 in the province for men and women, of RR for disease mapping were calculated using respectively [2]. Preliminary research carried out by the empirical Bayes method. We suppose that yi, the num­ Iran cancer institute has shown that EC accounts for ber of disease observed in study i-th county, has a about 9% of all cancers and 27% of digestive cancers, Poisson distribution [yiw Poisson ðqieiÞ,iZ 1,.,N]. and its prevalence in men is about 1.7 times higher than where qi is the RR and the expected number of cases in in women [4]. Recent research has reported that ASR the i-th county calculates as: P (per 100,000) of GC in Iran is about 26.1 in and 11.1 in N y Z PiZ1 i women [6]. ei ni N Z n In recent years, several studies have been conducted i 1 i to map the geographical spread of EC and GC incidence where ni is the population at risk in the i-th county. using adjusted age-specific standardized incidence ratio In the model for RR to account heterogeneity, we (SIR) in the southwest of the Caspian Sea from 2001 to considered two-component random effects for each 2005 [7,8]. The previous studies have considered observation, an unstructured (noncorrelated heteroge­ counties of northern provinces of Iran as clustered. Most neity) and a group of “neighbor” (correlated heteroge­ counties of Golestan are in the high-risk incidence rate neity) random effects [10e12]. This model has been cluster [7,8]. However, the incidences of these cancers presented and extended for disease mapping and clus­ are not the same in all regions of the province, despite tering [13,14]. It is formulated as follows: being in a high-risk cluster. The purpose of this study is log qiZa þ ui þ vi to evaluate and adjust EC and GC for contextual risk factors from 2004 to 2008, then identify counties in where a is the overall effect, ui is correlated heteroge­ Golestan province that have the highest observed count/ neity, and vi is the uncorrelated heterogeneity. Whereas expected count of these cancers compared with other estimating RR in each region depends on the neigh­ regions within this province. Comparison with the re­ borhood, we applied the clustering structure for the w ð ; t2Þ sults of other studies over the years can also be valuable. spatial correlations. Where vi N 0 n and accordingly for ui, Besag and Newell [14] have proposed a condi­ tional autoregressive structure as: 2. Materials and methods j ; s ; t2 w ; t2 ui uj i j u N ui i 2.1. Study population X The population this study was residents of Golestan P1 uiZ ujwij province. The estimated midyear population between jwij j 2004 and 2008 that are stratified by sex, age (� 69 years > and 69 years), and place of residence (urban or rural) t2 t2 ZP u was obtained from the statistical center of Iran. The i occurrences of new cases of EC and GC during a period jwij of 4 years (2004e2008) were established from Golestan Research Center of Gastroenterology and Hepatology. 1 if i; j counties are adjacent w Z The cancers were registered with procedures that are ij 0 otherwise widely established throughout the world by the 102 A.-S. Hosseintabar Marzoni, et al Table 1. The median (M), and 2.5 and 97.5 percentiles of covariates effects on log (relative risk) in the adjusted model. 2004 2005 2006 2007 2008 Variables 2.5% M 97.5% 2.5% M 97.5% 2.5% M 97.5% 2.5% M 97.5% 2.5% M 97.5% Area EC -0.960 -0.007 1.196 -0.614 0.284 2.327 -0.881 0.050 1.523 -0.995 -0.043 0.931 -0.709 0.139 1.085 GC -0.893 0.006 0.914 -0.697 0.058 0.934 -0.907 -0.034 0.817 -0.795 0.030 1.066 -1.037 -0.079 0.747 Sex EC -2.328 -0.038 2.183 -2.888 0.042 3.368 -2.302 -0.019 2.535 -2.323 -0.040 2.139 -2.391 0.004 2.201 GC -2.203 -0.017 2.050 -2.092 0.001 2.124 -2.093 -0.014 2.091 -2.074 -0.011 2.197 -2.238 -0.033 2.032 Age EC -1.980 -0.067 1.825 -2.702 -0.108 2.588 -2.117 -0.068 1.979 -1.704 -0.022 1.974 -2.228 -0.062 2.172 GC -1.749 -0.010 1.718 -1.736 -0.020 1.706 -1.626 -0.003 1.747 -1.973 -0.052 1.635 -1.735 -0.015 1.732 EC Z esophageal cancer; GC Z gastric cancer. where, the tu and tv control variability of u and v.We We used OpenBUGS version 3.1.2 (produced by have used the empirical Bayes model for estimating the Medical Research Council (MRC) and Imperial College, model parameters. Uninformative prior distributions for UK), the Bayesian analysis of complex statistical soft­ the parameters of the model were considered as: ware to estimate parameters of the model with the GibbseBayesian method.
Load more

Recommended publications
  • (GOLESTAN, NE IRAN) Marjan Tourani1 Dr. Ayşe Çağlayan1,2 R
    DETERMINATION OF LAND SUBSIDENCE IN GORGAN PLAIN WITH INSAR METHOD (GOLESTAN, NE IRAN) Marjan Tourani1 Dr. Ayşe Çağlayan1,2 Reza Saber1 Prof. Dr. Veysel Işık1 1Ankara University, Department of Geological Engineering, Tectonics Research Group, Ankara, Turkey 2Ministry of Environment and Urbanization, General Directorate of Spatial Planning, Department of Geological Survey, Ankara, Turkey ABSTRACT Golestan Province is classified as an area of high risk concerning natural hazards. Earthquakes, floods, landslides, and land subsidence are among the disasters that affected this region. In recent years, remote sensing techniques have played a key role in determining land subsidence events that produce significant environmental problems in various plain areas around Iran (e.g., Hashtgerd, Qara Bulaq, Damghan, South West Tehran, Golpayegan, South Mahyar, and Gorgan plains). Land subsidence events can be clearly identified by employing remote sensing and geodetic methods such as well-known and frequently used GPS measurements and InSAR studies. Any changes on the ground surface caused by deformation events can be accurately calculated using the InSAR technique. Basically, this method compares pairs of satellite images of a region, which acquired before and after the deformation event, and detects the possible changes between them. Application of the InSAR analysis technique on ENVISAT satellite data acquired between 26.01.2007-11.12.2009 in Gorgan Plain, located in the western part of Golestan Province, has revealed the occurrence of 4.8 cm and 1.1 cm of land subsidence amounts for the Gorgan and Akkale areas, respectively. InSAR analysis results also suggest that land subsidence has been distributed in a relatively east-west direction.
    [Show full text]
  • The First Data on the Fauna and Geographical Distribution of Medically Important Scorpions in Golestan Province, Northeast of Iran
    The First Data on the Fauna and Geographical Distribution of Medically Important Scorpions in Golestan Province, Northeast of Iran Aioub Sozadeh Golestan University of Medical Sciences and Health Services Ehsan Allah Kalteh Golestan University of Medical Sciences and Health Services Shahin Saeedi Golestan University of Medical Sciences and Health Services Mulood Mohammmadi Bavani ( [email protected] ) Department of Medical Entomology and Vector Control, School of Public Health, Urmia University of Medical Sciences Research note Keywords: Scorpion, fauna, spatial distribution, Iran, Golestan Posted Date: December 3rd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-117232/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/14 Abstract Objectives: this study was conducted to determine the medically relevant scorpion’s species and produce their geographical distribution in Golestan Province for the rst time, to collect basic information to produce regional antivenom. Because for scorpion treatment a polyvalent antivenom is use in Iran, and some time it failed to treatment, for solve this problem govement decide to produce regional antivenom. Scorpions were captured at day and night time using ruck rolling and Ultra Violet methods during 2019. Then specimens transferred to a 75% alcohol-containing plastic bottle. Finally the specimens under a stereomicroscope using a valid identication key were identied. Distribution maps were introduced using GIS 10.4. Results: A total of 111 scorpion samples were captured from the province, all belonging to the Buthidae family, including Mesobuthus eupeus (97.3%), Orthochirus farzanpayi (0.9%) and Mesobuthus caucasicus (1.8%) species.
    [Show full text]
  • Lessons Learned from Flood Monitoring and Flood Damage Assessment by Space Remote Sensing
    Lessons learned from flood monitoring and flood damage assessment by space remote sensing Case Study: 2019 Floods in Iran Omid Shekoofa Iranian Space Research Center (ISRC) 9/10/2019 Space: A Tool for Accessibility, Diplomacy and Cooperation – 2019 Floods in Iran 1 Outline ❑ Introduction to ISRC ❑ Overview on March 2019 Flood ❑ Flood Monitoring/Management by Space Remote Sensing ❑ Flood Damage Assessment in Agriculture ❑ Conclusion 9/10/2019 Space: A Tool for Accessibility, Diplomacy and Cooperation – 2019 Floods in Iran 2 Iranian Space Research Center (ISRC) ❑ Founded in 2012, affiliated with Iran’s Ministry of ICT ❑ Headquarter is located in Tehran, 6 branches are located in 4 big cities ❑ Developing space technologies and space systems for domestic needs in civil and peaceful applications 9/10/2019 Space: A Tool for Accessibility, Diplomacy and Cooperation – 2019 Floods in Iran 3 News News Agency Tasnim province, Iran, March 22, 2019. 2019. March 22, province, Iran, Golestan What Happened During March to May 2019 in Iran? 9/10/2019 Space: A Tool for Accessibility, Diplomacy and Cooperation – 2019 Floods in Iran 4 Iran Flood 2019 Overview ❑ Widespread flash flood happened in many parts of Iran from March 19 to May 1 ❑ It lasted over 5 weeks including 3 waves of heavy rains and floods ❑ The worst flooding in 70 years, affected 25 of 31 provinces ❑ 78 persons died and more than 1170 injured 9/10/2019 Space: A Tool for Accessibility, Diplomacy and Cooperation – 2019 Floods in Iran 5 Flood-Stricken Areas Most severely flood hit Golestan,
    [Show full text]
  • Joint Disease Mapping of Two Digestive Cancers in Golestan Province, Iran Using a Shared Component Model
    Osong Public Health Res Perspect 2015 6(3), 205e210 http://dx.doi.org/10.1016/j.phrp.2015.02.002 pISSN 2210-9099 eISSN 2233-6052 - ORIGINAL ARTICLE - Joint Disease Mapping of Two Digestive Cancers in Golestan Province, Iran Using a Shared Component Model Parisa Chamanpara a,b, Abbas Moghimbeigi b,*, Javad Faradmal b, Jalal Poorolajal b aGolestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Golestan, Iran. bModeling of Noncommunicable Disease Research Canter, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. Received: October 25, Abstract 2014 Objectives: Recent studies have suggested the occurrence patterns and related Revised: December 1, diet factor of esophagus cancer (EC) and gastric cancer (GC). Incidence of these 2014 cancers was mapped either in general and stratified by sex. The aim of this study Accepted: January 16, was to model the geographical variation in incidence of these two related can- 2015 cers jointly to explore the relative importance of an intended risk factor, diet low in fruit and vegetable intake, in Golestan, Iran. KEYWORDS: Methods: Data on the incidence of EC and GC between 2004 and 2008 were esopagus cancer, extracted from Golestan Research Center of Gastroenterology and Hepatology, Hamadan, Iran. These data were registered as new observations in 11 counties of gastric cancer, the province yearly. The Bayesian shared component model was used to analyze Bayesian shared the spatial variation of incidence rates jointly and in this study we analyzed the component model, data using this model. Joint modeling improved the precision of estimations of incidence, underlying diseases pattern, and thus strengthened the relevant results.
    [Show full text]
  • Distribution of Leishmania Infection in Humans, Animal Reservoir Hosts and Sandflies in Golestan Province, Northeastern Iran: a Systematic Review and Meta-Analysis
    Iran J Public Health, Vol. 49, No.12, Dec 2020, pp.2308-2319 Review Article Distribution of Leishmania Infection in Humans, Animal Reservoir Hosts and Sandflies in Golestan Province, Northeastern Iran: A Systematic Review and Meta-Analysis Omid MOZAFARI 1, *Aioub SOFIZADEH 2, Hamid Reza SHORAKA 3 1. Health Management & Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran 2. Infectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran 3. Vector-Borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran *Corresponding Author: Email: [email protected] (Received 12 Dec 2019; accepted 17 Feb 2020) Abstract Background: Leishmaniasis is one of the most important parasitic diseases in the Golestan Province, northeast- ern Iran. In this study, we summarize the results of studies on the disease and its causative agent Leishmania in humans, vectors and reservoirs in the Golestan Province, Iran. Methods: We retrieved all articles related to leishmaniasis in the Golestan Province, northern Iran from 1994 to 2018 in various databases including PubMed, Scopus and Web of Science. Articles in Persian were retrieved from the IranMedex, SID and Magiran. Reference lists of relevant articles were also hand-searched. Local active re- searchers in the field of leishmaniasis were contacted to avoid missing any relevant articles. Overall, 54 papers were extracted, later evaluated by two research team members based on inclusion criteria. All analyses were per- formed using the Stata 14 software. Pooled prevalence was calculated using the metaprop command and a ran- dom-effect model. The I² statistic was used for measuring heterogeneity of studies.
    [Show full text]
  • Southern Caspian Sea Coasts, Morphology, Sediment Characteristics, and Sea Level Change Alireza Firoozfar Islamic Azad University, a R [email protected]
    Proceedings of the Annual International Conference on Soils, Sediments, Water and Energy Volume 17 Article 12 2012 Southern Caspian Sea Coasts, Morphology, Sediment Characteristics, and Sea Level Change Alireza Firoozfar Islamic Azad University, [email protected] Edward N. Bromhead Kingston University London Alan P. Dykes Kingston University London Mir Ahmad Lashteh Neshaei Guilan University Follow this and additional works at: https://scholarworks.umass.edu/soilsproceedings Recommended Citation Firoozfar, Alireza; Bromhead, Edward N.; Dykes, Alan P.; and Neshaei, Mir Ahmad Lashteh (2012) "Southern Caspian Sea Coasts, Morphology, Sediment Characteristics, and Sea Level Change," Proceedings of the Annual International Conference on Soils, Sediments, Water and Energy: Vol. 17 , Article 12. Available at: https://scholarworks.umass.edu/soilsproceedings/vol17/iss1/12 This Conference Proceeding is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Proceedings of the Annual International Conference on Soils, Sediments, Water and Energy by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. Firoozfar et al.: Caspian Sea Coasts, Morphology, Sediment, Sea Level Change 123 PART V: Sediments Chapter 11 SOUTHERN CASPIAN SEA COASTS, MORPHOLOGY, SEDIMENT CHARACTERISTICS, AND SEA LEVEL CHANGE Alireza Firoozfar1§, Edward N Bromhead2, Alan P. Dykes3, Mir Ahmad Lashteh Neshaei4 1 Department of Civil Engineering, Zanjan Branch, Islamic Azad University, Etemadieh Moalem Street, Zanjan, Iran, 45156-58145, 2Kingston University London, Penrhyn Road, Kingston upon Thames, Surrey, UK, KT1 2EE , 3Kingston University London, Penrhyn Road, Kingston upon Thames, Surrey, UK, KT1 2EE, 4Guilan University, Ghazvin Road, Rasht, Guilan, Iran ABSTRACT As the world's largest closed body of water, considerable changes in the Caspian Sea water level make it an unique laboratory to study all aspects of coastal zones.
    [Show full text]
  • Diagnosis of Leptospirosis in Febrile Patients of Golestan Province, Iran: Serology
    Journal of Medical Microbiology and Infectious Diseases ISSN: 2345-5349 eISSN: 2345-5330 Diagnosis of Leptospirosis in Febrile Patients of Golestan Province, Iran: Serology versus PCR Saied Reza Naddaf1* , Reyhaneh Mohabati2 , Rouhollah Vahabpor3 , Sabah Naeimi1 , Sana Eybpoosh4 1Department of Parasitology, Pasteur Institute of Iran, Tehran, Iran; 2Department of Virology, Pasteur Institute of Iran, Tehran, Iran; 3Department of Medical Lab Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 4Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran A R T I C L E I N F O A B S T R A C T Original Article Introduction: Leptospirosis is a significant public health problem in the Caspian littoral of Iran comprising Gilan, Mazandaran, and Golestan provinces. In Golestan province, serology assays indicated anti-Leptospira antibodies in Keywords: Leptospirosis, IFA, PCR, Golestan, Iran; Diagnosis; Kappa animals and humans; however, no reliable record of infections in patients with statistics signs and symptoms of the disease is available. Methods: We employed the indirect immunofluorescent antibody assay (IFA), and two PCR assays, a real- Received: Aug. 28, 2020 time PCR (qPCR) and a nested-PCR targeting 16S rDNA (rrs) sequence for Received in revised form: Sep. 8, 2020 diagnosis of leptospirosis in febrile patients in Golestan province. Results: Out Accepted: Sep. 15, 2020 of 52 febrile patients, 25 (48.07%) had antibody titers ≥1/80 by IFA, and were DOI: defined as positive. In 7, 9, and 7 individuals, the antibody titers were 1/40, 1/20, and 1/10, respectively, and 4 had no antibodies.
    [Show full text]
  • Distribution and Ecological Aspects of Sand Flies (Diptera: Psychodidae)
    Asian Pacific Journal of Tropical Medicine 2018; 11(9): 526-533 526 IF: 1.634 Asian Pacific Journal of Tropical Medicine journal homepage: www.apjtm.org doi:10.4103/1995-7645.242309 ©2018 by the Asian Pacific Journal of Tropical Medicine. All rights reserved. Distribution and ecological aspects of sand flies (Diptera: Psychodidae) species in Northeastern Iran Aioub Sofizadeh1, Yavar Rassi2, Ahmad Ali Hanafi-Bojd2, Hamid Reza Shoraka3, Fatemeh Mesgarian4, Sayena Rafizadeh5 1Infectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran 2 Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran 3 Vector-borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran 4 Gonbad-e Kavoos Health Center, Golestan University of Medical Sciences, Gorgan, Iran 5 Ministry of Health, National Institute for Medical Research Development(NIMAD), Tehran, Iran ARTICLE INFO ABSTRACT Article history: Objective: To determine both the distribution and the ecological characteristics of sand flies Received 1 May 2018 in Golestan Province, northeast of Iran in 2016. Methods: In this study, 34 villages were Revision 20 August 2018 selected based on their geographical conditions. Sticky paper traps were used for collecting Accepted 25 August 2018 the sand flies. Sampling was carried out in each of villages from May to November. In each Available online 27 Septebmer 2018 village, 60 traps for indoors and 60 for outdoors were monthly installed. The species of all Keywords: collected sand flies were determined using approved morphological keys. Pearson coefficient Sand fly correlation was used to find the relationship between the number of collected Phlebotomus Ecology papatasi from different villages and incidence rate of zoonotic cutaneous leishmaniasis as well Zoonotic cutaneous leishmaniasis as the number of positive cases of the disease.
    [Show full text]
  • The Ecotourism Potentials of Golestan Province
    J. Basic. Appl. Sci. Res., 2(1)564-570, 2012 ISSN 2090-4304 Journal of Basic and Applied © 2012, TextRoad Publication Scientific Research www.textroad.com The Ecotourism Potentials of Golestan Province Akbar Sharbati [email protected] Department of Geographic, Payam-e-Noor University ABSTRACT Tourism is an industry with high productivity that provides a significant number of job opportunities around the world. Ecotourism is one of the branches of the industry, which deals with landscapes and natural attractions. Golestan province with the surface area of 20438.7 km2 is located in the northern part of Iran and because of having an appropriate geographical state and also ecotourism attractions is one of the main parts of Iran in this respect. Here, on the basis of documents and library searches as well as field surveys at the regional scale, we introduce the ecotourism potentials of Golestan province and appropriate strategies for attraction of tourists, and ask national and local policy makers to consider this socioeconomic capacity and provide more accurate programming in this sector. Keywords: Tourism; Ecotourism; Lagoon Waterfall; Golestan province INTRODUCTION Among the different approaches of tourism, ecotourism is of great importance; such that the year 2002 was named as the international year of ecotourism by United Nations Organization. This type of tourism makes passing the leisure time in the nature possible. It is based upon goal-oriented traveling with cultural and spiritual aspects, visiting and studying natural attractions, and enjoying various natural phenomena (Mansuri, 1381: 38). Ecotourism with the aim of expansion of tourism industry without damaging the environment is mostly related with sustainable development and its functional performances.
    [Show full text]
  • Population Dynamics and CPUE of Alosa Genus with Emphasis on Alosa Braschnikovi (Borodin, 1904) on the Coasts of Golestan Province, Iran
    BIODIVERSITAS ISSN: 1412-033X Volume 19, Number 1, January 2018 E-ISSN: 2085-4722 Pages: 59-66 DOI: 10.13057/biodiv/d190110 Population dynamics and CPUE of Alosa genus with emphasis on Alosa braschnikovi (Borodin, 1904) on the coasts of Golestan Province, Iran ZOBEYDE BIBAK, SEYYED YOUSEF PAIGHAMBARI♥, MOJTABA POULADI, RASOUL GHORBANI, SEYYED ABBAS HOSSEINI, MOHSEN YAHYAEI Department of Fisheries, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran, Tel:+98-9122069187, ♥email: [email protected] Manuscript received: 6 November 2017. Revision accepted: 29 November 2017. Abstract. Bibak Z, Paighambari SY, Pouladi M, Ghorbani R, Hosseini SA, Yahyaei M. 2018. Population dynamics and CPUE of Alosa genus with emphasis on Alosa braschnikovi (Borodin, 1904) on the coasts of Golestan Province, Iran. Biodiversitas 19: 59-66. The aim of this study was to compare relative abundance and catch per unit effort of members of the Alosa genus (family: Clupeidae) in the fishing grounds of Gomishan and Miankale in Golestan coasts. Sampling operations were done by beach seine during 2011 to 2012. A total of 240 fish were collected. Identified species in Gomishan were: Alosa braschnikovi (Borodin, 1904) and A. saposchnikovi (Grimm, 1887). The most abundant species in this region were individuals of A. braschnikovi. The highest length and weight in the region were 35.6±1.85 mm and 447.8±57.43 gr for Alosa braschnikovi in Gomishan. Besides the two mentioned species, A. kessleri (Grimm, 1887) was caught in Miankale coasts. The most abundant species again was Alosa braschnikovi in this region.
    [Show full text]
  • Overview of the Strengths and Challenges Associated with Healthcare Service Rendered in the First 10 Days After the Great Flood in Northern Iran, 2019
    Trauma Monthly 2020;25(5): 220-226 Trauma 10.30491/TM.2020.213594.1024 Monthly Original Article Overview of the Strengths and Challenges Associated with Healthcare Service Rendered in the First 10 Days after the Great Flood in Northern Iran, 2019 Mahmoudreza Peyravi 1, Farnaz Rahnavard 2, Milad Ahmadi Marzaleh 3,4 * 1 Assistant Professor, Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran 2 PhD Candidate of Health in Disasters and Emergencies, Student Research Committee, Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran 3 Assistant Professor, Research Center for Health Management in Mass Gathering, Red Crescent society of the Islamic Republic of Iran, Tehran, Iran 4 PhD of Health in Disasters and Emergencies, Student Research Committee, Department of Health in Disasters and Emergencies, Health Human Resources Research Center, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran * Corresponding Author: Milad Ahmadi Marzaleh, Assistant Professor, Research Center for Health Management in Mass Gathering, Red Crescent society of the Islamic Republic of Iran, Tehran, Iran. Email: [email protected] Received December 28, 2019; Accepted August 23, 2020; Online Published September 01, 2020 Abstract Background: Iran is a disaster-prone country, and many flood events occur in its provinces annually. The unprecedented amount of rainfall in the northern region of Iran (from March 17 to 22, 2019) led to flash flooding of the Golestan Province.
    [Show full text]
  • Diatom Flora in Three Springs of Golestan Province
    Diatom flora in three Springs of Golestan Province Latifeh Ahmadi Musaabad1, Jamileh Panahy Mirzahasanlou1*, Mojtaba G.Mahoodlu2, Arsalan Bahlakeh3 Received: 2019-08-29 Revised and accepted: 2019-11-01 Abstract Keywords: Epilithon, Epipelon, Gol-e- Springs are highly important habitats for Ramian Spring, Nilberg Spring, Seyyed biodiversity trend. Hence three springs in Kalateh Spring. Golestan Province were selected for floris- tic study of diatom assemblages. Samples Introduction were collected seasonally from stony and Springs are unique aquatic habitats and sediment substrates. In total, 75 taxa belong can be defined as linkage between terrestrial to 38 genera were identified. Gomphonema and aquatic ecosystems, ground and surface and Nitzschia each with 7 species, Navicu- waters. There is high habitat complexity and la with 6 species, Surirella with 5 species large number of different types of springs and Cymbella with 4 species were the most which allows them to be the important com- species-rich genera. Results revealed that ponent of riverine landscape biodiversity. Gol-e-Ramian Spring with 61 taxa had the Springs are often very small, but they are highest species richness. Achnanthidium numerous and thus, provide habitats for spe- minutissimum,Cocconeis placentula, Fragi- cies that are rare elsewhere because of their laria crotonensis, Gomphonema micropus, sensitivity to anthropogenic (Cantonati et Meridion circulare, Nitzschia vermicularis, al., 2012b).Toxböck et al. (2017) considered and Planothidium frequentissimum were springs as refugial habitats for Swiss fresh- the most abundant taxa. Most of the species water microflora including diatoms. Sabater identified in the present research have been and Roca (1992) while studying diatom dis- observed within running water environments tribution in Pyrenean springs, noted that in in Golestan province and other parts of Iran.
    [Show full text]