Public Health Strategies for the Gradual Lifting of the Public Sector Lockdown in Jordan and the United Arab Emirates During the COVID-19 Crisis

Al‐Qutob, Raeda; Moonesar, Immanuel Azaad; Tarawneh, Musleh S.; Nsour, Mohannad Al; Khader, Yousef

doi:10.2196/20478

Cited by 23 publications

(22 citation statements)

References 6 publications

(16 reference statements)

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“…Lessons learned from the rapid action will be considered in taking subsequent steps. The spread of the virus, the preparedness of public health and curative services to contain all new cases, the ability to minimize the risk of resurgence, and population awareness are other factors to consider [ 69 ]. Gradual lifting of restrictions with precautions: the three Rs – readiness, responses and resilience/recovery – represent the systematic approach for lifting lockdowns taken in times of crisis.…”

Section: Discussionmentioning

confidence: 99%

“…The last step, resilience and recovery, involves taking advantage of the existing database by documenting the lessons learned. It includes health resilience and surveillance assessments and public policy and priority-setting based on setting criteria for lifting the lockdown, beginning with vital public sectors such as health and food security and followed by other sectors in a gradual approach that provides enough time to control the virus after reopening and detecting any new or suspected cases and their contacts [ 69 ].…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Pandemic Response Management Framework Based On Efficiency of COVID-19 Control and Treatment

2020

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Aims: The existing response management system for pandemic disease fell short of controlling COVID-19. This study evaluates the response management relative efficiency of 58 countries in two stages, using two models. Materials & methods: Data envelopment analysis was applied for efficiency analysis. Results: 89.6% of countries were inefficient in pandemic control and 79% were inefficient in treatment measures. Sensitivity analysis underlines resources as a critical factor. Further examination points to absence of a robust and uniform mitigation measure against the pandemic in most countries. Conclusions: Preventing spread is not only the first line of defense; it is the only line of defense. The lack of a global public health database support system and uniform response compounded inefficiency. A robust pandemic response management framework is developed based on practices of key performers. Action plans are proposed, with a recommendation for a global public health pandemic database monitoring and support system as the nucleus.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Pandemic Response Management Framework Based On Efficiency of COVID-19 Control and Treatment

2020

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“…This topic was addressed by 18.66% (5393/28,904) of the publications. The publications in this cluster mainly discussed how public health authorities in various countries responded to the COVID-19 pandemic (eg, [24][25][26][27][28]). The top 5 authors in terms of the highest number of publications related to this topic were Claudine McCarthy (n=8), Valerie A Canady (n=6), Alison Knopf (n=6), Alimuddin Zumla (n=6), and Nima Rezaei (n=6).…”

Section: Topic 1: Public Health Responsementioning

confidence: 99%

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis (Preprint)

Abd‐Alrazaq¹,

Schneider²,

Mifsud³

et al. 2020

Preprint

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BACKGROUND Shortly after the emergence of the novel coronavirus disease (COVID-19), researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccination. This led to a rapid increase in the number of COVID-19-related publications. Identifying trends and areas of interest using traditional review methods (e.g, scoping review and systematic reviews) for such a large domain area is challenging. OBJECTIVE We aimed to conduct an extensive bibliometric analysis to provide a comprehensive overview of the COVID-19 literature. METHODS We used the COVID-19 Open Research Dataset (CORD-19) that consists of enormous number of articles related to all coronaviruses. We used machine learning method to analyse most relevant COVID-19 related articles and extracted most prominent topics. Specifically, we used clustering algorithm to group articles based on similarity of their abstracts to identify the research hotspots and current research directions. RESULTS Of the 196,630 publications retrieved from the database, we included 28,904 in the analysis. The mean number of weekly publications was 990 (SD=789.3). The country that published the highest number of articles was China (n=2,950). The largest number of documents was published in BioRxiv. Lei Liu affiliated in the Southern University of Science and Technology in China published the highest number of documents (n=46). Based on titles and abstracts alone, we were able to identify 1,515 surveys, 733 systematic reviews, 512 cohort studies, 480 meta-analyses, 362 randomized control trials. We identified 19 different topics addressed by the included studies. The most dominant topic was public health response followed by clinical care practices during COVID-19, its clinical characteristics and risk factors, and epidemic models for its spread. CONCLUSIONS We provided an overview of the COVID-19 literature and identified current hotspots and research directions. Our findings can be helpful to the research community by helping prioritize research needs, and recognize leading COVID-19 researchers, institutes, countries, and publishers. This study showed that an AI-based bibliometric analysis has the potential to rapidly explore large corpora of academic publications during a public health crisis. Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.

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“…Following the outbreak in the country, the government of Jordan declared measures and support to address the direct huge impact and cost of cushion up several sectors/industries and to protect susceptible of its people (AlQutob et al, 2020a). However, national lockdowns, then international economic slowdown, business/ market interferences, and the suspension of global traveling have a substantial effect on all work of Jordanian sectors, including service, banking, insurance, and industrial sectors (AlQutob et al, 2020b). The unexpected economic shock caused by COVID-19 has aggravated current structural flaws in the economy and undetermined social challenges and place a burden on Jordan's fragile economy (Al-Tammemi, 2020).…”

Section: Introductionmentioning

confidence: 99%

Effect of Covid-19 in Jordan: Conceptual Analysis of Different Economic Sectors

Shatnawi

Sakarneh

2021

BER

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Jordan, similar to other nations around the globe, has been severely affected by the COVID-19 pandemic cut across Jordanian service, banking, insurance, and industrial sectors. The spread of the virus and attempts to control it have generated both social and economic turbulence, turmoil, disorder, uncertainty, and uneasiness in the country. The government of Jordan acted promptly in March 2020 by ordering a national lockdown to mitigate the impact of COVID-19 on these economic sectors. The COVID-19 has had both direct and indirect negative effects on these sectors, which are projected to vary from the short to the long term. It is possible to measure the short-term effects as seen in this conceptual work. Some of the short-term effects anticipated include economic recession, high unemployment rate, high inflation, etc. In conclusion, these sectors will continue to encounter challenges because of the ongoing economic slowdown in Jordan due to lockdown and other social measures put in place by the government. Currently, there is yet to be a tentative and complete statistical prediction of the negative economic effects and cost of COVID-19 in Jordan, particularly on its sectors of the economy.

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Public Health Strategies for the Gradual Lifting of the Public Sector Lockdown in Jordan and the United Arab Emirates During the COVID-19 Crisis

Cited by 23 publications

References 6 publications

Pandemic Response Management Framework Based On Efficiency of COVID-19 Control and Treatment

Pandemic Response Management Framework Based On Efficiency of COVID-19 Control and Treatment

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis (Preprint)

Effect of Covid-19 in Jordan: Conceptual Analysis of Different Economic Sectors

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