Integration of Research, Public Health, and Hospital Interventions as a Successful Model for Controlling COVID-19 Pandemic: A Perspective

Emamian, Mohammad Hassan; Chaman, Reza; Khosravi, Ahmad; Sheibani, Hossein; Binesh, Ehsan; Vahedi, Hamid; Khajeha, Hamid Reza; Zare, Fariba; Saeidi, Mozhgan; Rasaf, Marzieh Rohani

doi:10.22541/au.159223916.69766417

Cited by 2 publications

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“…Therefore, this trend was shown that integrating the activities of the health, treatment, and research sectors in Shahroud university medical sciences and implementation of preventive care decreased the extent of disease dissemination. It is easy to cope with COVID-19 by active tracing individuals in contact with the definitive cases quickly, isolation of cases, the same thing that was done at Shahroud University 10 .…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution of COVID-19 in Shahroud, Iran Using GIS

Ghanbarian¹,

Mahdavi²,

Enayatrad³

et al. 2020

Preprint

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Abstract Background: The highest incidence rate of covid-19 in Iran was reported from Shahroud County. This study was conducted by geographic information systems (GIS) to determine the geographical distribution of Covid-19 in 60 days. Study design: A cross-sectional study Methods: This study was conducted in counties covered by Shahroud University of Medical Sciences, namely Shahroud and Mayami, from February 20, 2020 to April 18, 2020. The GIS can better show the spread of epidemics. This software indicates geographical distribution of disease spread and is very helpful in controlling the epidemics. Therefore, maps of spatial distribution and risk of infection to COVID-19 were prepared in different regions of Shahroud county using Arc-GIS software to better implement health policies. Results: During this sixty-day period, 529 confirmed cases were detected, of which 51% were men and the average age was 55 years. The maps showed high-risk to risk-free regions. Shahroud and Bastam cities were known as the coronavirus hot spots. The eastern region of Shahroud has the highest number of cases but some high risk areas are spread throughout the Shahroud city due to high infectivity of virus. Risk-based time maps indicated a reduction in the risk of infection at the end of the research period due to some mitigation and suppression strategies. Conclusions: Shahroud and Bastam are the most dangerous cities that, the number of patients and dissemination has decreased over time because of tracking definite patients and people in contact with them and implementation of preventive care.

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Section: Discussionmentioning

confidence: 99%

Spatial Distribution of COVID-19 in Shahroud, Iran Using GIS

Ghanbarian¹,

Mahdavi²,

Enayatrad³

et al. 2020

Preprint

Self Cite

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“…A comprehensive system for registration and follow-up of COVID-19 patients has been set up in Shahroud, northeast Iran. All COVID-19 patients, including outpatients and inpatients, were registered in this system (16). Individuals who participated in the cohort study were followed up in the COVID-19 system by using the national identification number for 9 months till the end of November 2020.…”

Section: Methodsmentioning

confidence: 99%

The Association of Opioid Use Disorder and COVID-19 in Shahroud, Iran

Jamali

Emamian

Hashemi

et al. 2021

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Background COVID_19 quickly spread to the world, causing a pandemic. While some studies have found no link between Opioid Use Disorder (OUD) and COVID_19, the role of the opioid on COVID_19 is challenging. The present study aimed to determine the relationship between OUD and COVID_19. Methods This was a prospective cohort study. We used data from the third phase of the Shahroud eye cohort study on 4394 participants which started in September 2019 and ended before the COVID-19 epidemic in Shahroud in February 2020. The participants were followed for 10.5 months till November 2020. COVID-19 was detected by RT-PCR on swap samples from the oropharynx and nasopharynx. The incidence of COVID_19 compared in OUD and Non-OUD participants, and relative risk was calculated in Log Binomial Regression model. Results Among the 4394 participants with a mean age of 61.1 years, 120 people had OUD. The incidence of COVID_19 in participants with OUD and Non-OUD were 3.3% and 4.5%, respectively. The relative risk of OUD for COVID-19 was 0.75 (95% Confidence intervals: 0.28 _ 1.98; P= 0.555). Conclusions Opioid use disorder was not associated with COVID_19. The claim that people with OUD are less likely to develop COVID_19 is not supported by this data.

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Integration of Research, Public Health, and Hospital Interventions as a Successful Model for Controlling COVID-19 Pandemic: A Perspective

Cited by 2 publications

References 0 publications

<strong>Spatial Distribution</strong><strong> of COVID-19 in Shahroud, Iran Using GIS</strong>

<strong>Spatial Distribution</strong><strong> of COVID-19 in Shahroud, Iran Using GIS</strong>

The Association of Opioid Use Disorder and COVID-19 in Shahroud, Iran

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