Eight Thousand Years of History in Fars Province, Iran

Potts, D. T.; Roustaei, Kourosh; Alamdari, Kourosh; Alizadeh, Karim; Chaverdi, A. Asgari; Khosrowzadeh, Alireza; Niakan, Lily; Petrie, Cameron A.; Seyedin, Mojgan; Weeks, Linda; McCall, Bernadette; Zaidi, Mohd. Asim

doi:10.1086/nea25067606

Cited by 6 publications

(2 citation statements)

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“…Thus, it receives many tourists from inside and outside Iran every day because of its eye-catching tourist attractions. 44 This reason can justify why this province is a high-risk area for the spread of coronavirus (Table 2). On the other hand, Alborz province is an emerging province that has recently been added to the provinces of Iran and according to statistics, it has fewer incoming passengers than other districts of Iran (Table 2).…”

Section: Poisson Regression Intercept Regression Coefficient Correlat...mentioning

confidence: 99%

A Social Network Analysis Approach to Evaluate the Relationship Between the Mobility Network Metrics and the COVID-19 Outbreak

Ilbeigipour

Teimourpour

2023

Health�Serv�Insights

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The emergence of the new coronavirus in late 2019 further highlighted the human need for solutions to explore various aspects of deadly pandemics. Providing these solutions will enable humans to be more prepared for dealing with possible future pandemics. In addition, it helps governments implement strategies to tackle and control infectious diseases similar to COVID-19 faster than ever before. In this article, we used the social network analysis (SNA) method to identify high-risk areas of the new coronavirus in Iran. First, we developed the mobility network through the transfer of passengers (edges) between the provinces (nodes) of Iran and then evaluated the in-degree and page rank centralities of the network. Next, we developed 2 Poisson regression (PR) models to predict high-risk areas of the disease in different populations (moderator) using the mobility network centralities (independent variables) and the number of patients (dependent variable). The P-value of .001 for both prediction models confirmed a meaningful interaction between our variables. Besides, the PR models revealed that in higher populations, with the increase of network centralities, the number of patients increases at a higher rate than in lower populations, and vice versa. In conclusion, our method helps governments impose more restrictions on high-risk areas to handle the COVID-19 outbreak and provides a viable solution for accelerating operations against future pandemics similar to the coronavirus.

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Section: Poisson Regression Intercept Regression Coefficient Correlat...mentioning

confidence: 99%

A Social Network Analysis Approach to Evaluate the Relationship Between the Mobility Network Metrics and the COVID-19 Outbreak

Ilbeigipour

Teimourpour

2023

Health�Serv�Insights

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“…Rural settlement can give useful insights into the nature of settlement distribution, population density and agricultural exploitation. A lack of suitable data makes consideration of this aspect of settlement a problem in this region, but the sites identified by the eastern Province Survey present a useful case study as they were located largely by systematic, nonprobabilistic field survey and can therefore be quantified and inter-period comparisons can be made (301). The site numbers are shown in Table 5 (302).…”

Section: Rural Sitesmentioning

confidence: 99%

The decline of eastern Arabia in the Sasanian period

Kennet

2007

Arab Archaeol Epigr

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This paper lists and reviews the archaeological evidence for the Sasanian period in eastern Arabia (third–seventh centuries AD). Much of the published evidence is shown to be either erroneous or highly doubtful, leaving very little evidence that is reliable. It is argued that the paucity of evidence in comparison to the Hellenistic/Parthian period indicates that this was a time of marked and continuing decline in the number and size of settlements, the number of tombs and the amount of coinage in circulation, all of which probably result from a population that was both declining in size and participating less in the types of production and consumption that leave discoverable traces in the archaeological record. This is in contrast to the historical evidence, which, although patchy, is stronger for the Sasanian period than it is for the Hellenistic/Parthian period. The argument for decline challenges some generally accepted historical views of eastern Arabia at this time, which see the region as undergoing a notable period of growth. In conclusion, some brief consideration is given to the possible causes of the decline.

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