Quarantine Policy Research Articles

Compliance with World Health Organization's COVID‐19 guidelines among Iraqi health workers

AbstractDuring the COVID‐19 pandemic, the World Health Organization (WHO) introduced guidelines with respect to hygiene practices, quarantine policies, and medical practices for health institutions to follow. Most studies examining compliance with WHO guidelines have been conducted at individual level but not at institutional level. This study investigates the availability of resources of health institutions in Iraq and their compliance with WHO COVID‐19 guidelines. A total of 234 health workers, including physicians, nurses and medical technicians, were recruited in Babylon, Iraq. Self‐reported number of health workers available in the health centre and the levels of compliance with the WHO's guidelines were assessed. Implementation of preventive measures for infected persons, fogging procedures, and having a crisis management team in the health centre were the top three common practices as recommended by WHO. There was a weak but significant positive relationship between the number of health workers in the healthcare centre and the levels of compliance with the WHO's COVID‐19 guidelines (ρ = 0.243, p < 0.05), indicating that manpower may determine the implementation of these guidelines. There is a correlation between the quantity of health workers and the levels of compliance with the WHO's COVID‐19 guidelines, showing that it is important to ensure sufficient human resources available in the health centre to implement the standard practices. In addition, more financial resources are needed to provide sufficient protective equipment and disposable supplies to health workers in Iraq.

Modeling COVID-19 infection dynamics and mitigation strategies for in-person K-6 instruction.

U.S. school closures due to the coronavirus disease 2019 (COVID-19) pandemic led to extended periods of remote learning and social and economic impact on families. Uncertainty about virus dynamics made it difficult for school districts to develop mitigation plans that all stakeholders consider to be safe. We developed an agent-based model of infection dynamics and preventive mitigation designed as a conceptual tool to give school districts basic insights into their options, and to provide optimal flexibility and computational ease as COVID-19 science rapidly evolved early in the pandemic. Elements included distancing, health behaviors, surveillance and symptomatic testing, daily symptom and exposure screening, quarantine policies, and vaccination. Model elements were designed to be updated as the pandemic and scientific knowledge evolve. An online interface enables school districts and their implementation partners to explore the effects of interventions on outcomes of interest to states and localities, under a variety of plausible epidemiological and policy assumptions. The model shows infection dynamics that school districts should consider. For example, under default assumptions, secondary infection rates and school attendance are substantially affected by surveillance testing protocols, vaccination rates, class sizes, and effectiveness of safety education. Our model helps policymakers consider how mitigation options and the dynamics of school infection risks affect outcomes of interest. The model was designed in a period of considerable uncertainty and rapidly evolving science. It had practical use early in the pandemic to surface dynamics for school districts and to enable manipulation of parameters as well as rapid update in response to changes in epidemiological conditions and scientific information about COVID-19 transmission dynamics, testing and vaccination resources, and reliability of mitigation strategies.

Respiratory Virus Infections during the COVID-19 Pandemic Revealed by Multiplex PCR Testing in Japan.

Under the strict quarantine policy imposed to combat the COVID-19 (coronavirus disease 2019) pandemic in Japan, the prevalence of respiratory infections by viruses other than SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has been largely unknown. However, such information on viral circulation is important in order to develop better management policies that are based on scientific data. Here, we retrospectively investigated respiratory virus infections in individuals who visited a community hospital with respiratory symptoms between June of 2020 and September of 2021 with the use of the BioFire FilmArray Respiratory Panel 2.1. Virus was detected in 65 out of a total of 328 subjects, with SARS-CoV-2 (67.7%), rhino/enterovirus (18.5%), and parainfluenza virus 3 (7.7%) accounting for most of the infections. No influenza virus or respiratory syncytial virus (RSV) infections were detected. The monthly cases of rhino/enterovirus infection were highest from winter to spring, with this temporal pattern differing from that of SARS-CoV-2. SARS-CoV-2 was detected more frequently (P < 0.001) in subjects with cough (31/104 cases, 29.8%) than in those without cough (13/224 cases, 5.8%), suggesting that cough might contribute to the prediction of COVID-19. Our findings also suggest that testing for rhino/enterovirus and parainfluenza virus 3, in addition to SARS-CoV-2, may be important for the rigorous diagnosis of respiratory virus infections. IMPORTANCE Influenza virus, RSV, adenovirus, and rhino/enterovirus were the major respiratory viruses before COVID-19 pandemic. Circulating respiratory viruses may have been affected by our strong quarantine policy during the COVID-19 pandemic. We checked the circulating respiratory viruses from our outpatients by using a multiplex PCR kit that had recently been released. SARS-CoV-2 was the most frequently detected virus, and it was followed by rhino/enterovirus and parainfluenza virus 3. No influenza virus or RSV infections were detected during our study period, suggesting that influenza virus and RSV became almost extinct. COVID-19 cases frequently experienced cough, and this frequency was statistically significantly higher than that observed in the cases without SARS-CoV-2 detection. The cough can be an indicator of COVID-19.

Increasing Use of Telemedicine for Neurological Disorders During the COVID-19 Pandemic: A Mini-Review.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2), is a highly contagious viral infection. In addition to its association with common pulmonary and gastrointestinal complications, COVID-19 is also associated with numerous neurological and neuropsychiatric conditions. This minireview aims to cover current literature addressing the application of telemedicine in neurological disorders and neuropsychiatric conditions, especially in response to the COVID-19 pandemic. This article revealed that quarantine, masking, and social distancing policies practiced during the COVID-19 pandemic involved restrictions and challenges to providing medical services, especially for patients with neurological disorders with or without COVID-19 infection. During the pandemic, both healthcare administrators and clinicians, including neurologists, have rapidly adapted or introduced telemedicine technologies for delivering specialty care. In some areas in the world, telemedicine has been successfully applied to reduce the impact imposed by COVID-19. Conclusively, this article supports the idea that telemedicine is an effective tool for providing specialized healthcare for patients with neurological conditions while adhering to social distancing or lockdown policies instituted during the COVID-19 pandemic. Government and medical/healthcare authorities, physicians and healthcare providers need to work together to expand the adoption of telemedicine applications, even after the COVID-19 crisis.

Application of Artificial Intelligence for managing Diabetes Mellitus patients during the Covid-19 pandemic

The Covid-19 quarantine policy and mobility restriction were carried out to break coronavirus transmission. These were implemented for several months to affect the quality of life, especially in patients with diabetes mellitus. To overcome this, technology such as applications with artificial intelligence can be used. This literature aims to identify the use of Artificial Intelligence systems in managing diabetes mellitus during pandemics. This review conducted a narrative review method. Articles were searched using databases, such as PubMed, Science Direct, and EBSCO. The keywords were based on the medical subheading (MeSH) term and combined using a boolean operator. Articles were selected using inclusion criteria, namely the year of publication between 2016-2021, articles in English, full text, and open access. The articles that were duplicated and articles that did not fit the research topic were excluded. We found that six articles met the criteria. These discussed four programs, namely diabetes retinopathy screening, blood glucose monitoring, lifestyle management programs, and insulin therapy guidelines. The four programs can be used in the home care services for diabetes mellitus patients during the Covid-19 pandemic

Lockdown and Economic Recovery Policies During Coronavirus Pandemic: A Comparison Between Selected Countries

Covid-19 has caused significant damages to the economy of countries. Although economic losses are not limited to growth slowdown, the index of these losses can be considered an economic growth decrease. In the statistics presented in this article, we will see how countries faced negative economic growth during different seasons of 2020. As governments experienced Covid-19 in their country, they faced two primary occurs uncertainty about declining economic activity and Concerns about the collapse of the healthcare system. Then, governments have been forced to control the rate of spread through restrictions and lockdown while implementing economic stimulus policies. Therefore, the question of the present study is which countries have acted more efficiently in the simultaneous implementation of quarantine policy and economic recovery? This paper uses four indicators in 105 countries during 2020: "Covid-19 economic stimulus Index" (CESI)," stringency Index" (SI) as a measure of lockdown, "economic growth rate", and "per capita mortality rate of Covid-19 ". Using DEAP software and with the DEA method, performance scores were calculated. We find that the research hypothesis cannot be rejected: the greater the scope of economic recovery or the smaller the Lockdown scale in a country, it does not necessarily lead to greater efficiency in reconstructing that economy. To know why more information is needed about the nature and function of the coronavirus. The conclusion of this paper that the return to pre-corona economic activity could not be due to efforts to control mortality and economic recovery suggests a path for future studies.

Adherence to and experiences of K-12 students in modified and standard home quarantine during the SARS-CoV-2 pandemic in Missouri.

In November 2020, during the SARS-CoV-2 pandemic, Missouri allowed local public health jurisdictions the option to implement a modified quarantine policy allowing kindergarten through 12 (K-12) students with low-risk exposures to continue in-person learning. We assessed adherence to quarantine among participants in modified quarantine and standard home quarantine and the psychosocial impacts of quarantine on students and families. In January-March 2021, as part of an investigation of in-school transmission of SARS-CoV-2, parents of 586 participating K-12 students identified as a close contact with a person with SARS-CoV-2 were sent a survey to assess their activities and psychosocial impacts to the child and family. Among the 227 (39%) survey respondents, 26 (11%) participated in modified quarantine and 201 (89%) participated in standard home quarantine. Forty-six percent of students in modified quarantine and 72% of students in standard home quarantine reported abstaining from non-school activities during quarantine. Parents of 17 (65%) students in modified quarantine and 80 (40%) in standard home quarantine reported low or neutral levels of stress in their children. Parents of students in standard home quarantine described greater stress, negative impacts to family functioning, and interruptions to educational opportunities for students. Students in modified quarantine reported lower adherence to quarantine recommendations but lower daily impact and stressors than those in standard home quarantine. Because in-school transmission of SARS-CoV-2 has been shown to be low when layered prevention strategies are in place regardless of the use of modified or standard home quarantine, this modified quarantine approach provides a reasonable option for balancing the needs of students and families with SARS-CoV-2 prevention measures.

The Impact of Entry Restrictions on the Spread of Severe Acute Respiratory Syndrome Coronavirus Variants Between 2021 and 2022.

To contain the surge of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the South Korean government has implemented non-pharmacological interventions as well as border restrictions. The efficacy of entry restrictions should be evaluated to facilitate their preparation for new variants of SARS-CoV-2. This study explored the impact of border policy changes on overseas entrants and local cases of SARS-CoV-2 variants. Data from the Korea Disease Control and Prevention Agency randomly collected between April 11, 2021 and August 20, 2022 were evaluated using the Granger causality model. The results showed that the outbreak gap of delta variants between international and domestic cases was 10 weeks, while that of omicron variants was approximately 2 weeks, meaning that the quarantine policy helped contain delta variants rather than more transmissible variants. It is recommended that countries implement quarantine policies based on particular purposes accounting for the specific features of different variants to avoid potential negative impacts on the economy.

Stability analysis of SLIVR COVID-19 epidemic model with quarantine policy

Stability analysis of SLIVR COVID-19 epidemic model with quarantine policy

Russian-Eastern Trade in the Period of Epidemics, Epizootics and Epiphitotics in the XIX Century

The paper is devoted to the problems of development of foreign trade ties between the Russian Empire and neighboring countries of the Middle East and Central Asia during periods of epidemics, epizootics and epiphytoties throughout the 19th century. Special attention is paid to the evolution of the sanitary and quarantine policy of the state, the measures of government agencies to check the spread of contagious diseases in highly endemic regions. The author shows how the emergence and spread of infectious diseases affected the dynamics of foreign trade operations, changes in distribution channels and supply of goods, pricing policy, assortment of goods, shortages, the state of fair and retail trade in the empire. Special consideration is given to the protective measures of the Russian authorities in border zones, in ports, centers of transit trade. The territorial framework of the study embraces the countries bordering Russia in the east - Turkey, Iran, the Central Asia Khanates, Afghanistan, as well as the territory of the Russian Empire itself. The paper analyzes the measures of state and legal regulation of foreign and domestic trade underconditions of epidemics and epizootics. The preventive measures of the authorities in border areasto stop the spread of infectious diseases deep into the territory of the empire, along with goods, merchants, animals, and plants. The importance of the topic is determined by the similarity of problems in the foreign trade of contemporary Russia in connection with the pandemic of COVID-19, the disruption of foreign trade ties with near and far-abroad countries and the need to use historical experience in view of an immediate change in foreign trade strategy. The paper is based on rare archival documents and rarely used pre-revolutionary domestic and foreign sources. In the course of the study, the author came to the conclusion that a clear and fairly effective system for preventing the spread of infectious diseases was formed in the Russian Empire throughout the 19th century, a system was developed to respond to the interruption of the influxof goods and their sale under conditions of epidemics, epizootics and epiphytoties, to search for alternative channels for supplying the necessary goods to prevent shortages, price increases, production shutdowns, etc.

Research on issues related to the recovery of Hong Kong's cruise tourism industry from the perspective of the coordinated development of the GBA

With the gradual release of the entry quarantine policy, it is a good opportunity for Hong Kong to revive the cruise tourism industry, which is also a good opportunity for the Guangdong-Hong Kong- Macao Greater Bay Area (GBA) to deepen inner cooperation. However, the cruise tourism industry in Hong Kong has been suspended for nearly 3 years which makes it difficult to restart. The author believes that the GBA should seize this opportunity to restart the cruise tourism industry in Hong Kong and promote the development of cruise tourism in Shenzhen, Guangzhou, Macao, Zhuhai. In this paper, the significance of reviving the cruise industry in Hong Kong, the advantages and disadvantages of it, and the development strategies of it are summarized by literature research method, comparative summary method and field research method, so as to provide reference for the efficient development of cruise activities in the GBA and help to construct the international Bay Area.

Use of Bluetooth contact tracing technology to model COVID-19 quarantine policies in high-risk closed populations.

Containment measures in high-risk closed settings, like migrant worker (MW) dormitories, are critical for mitigating emerging infectious disease outbreaks and protecting potentially vulnerable populations in outbreaks such as coronavirus disease 2019 (COVID-19). The direct impact of social distancing measures can be assessed through wearable contact tracing devices. Here, we developed an individual-based model using data collected through a Bluetooth wearable device that collected 33.6M and 52.8M contact events in two dormitories in Singapore, one apartment style and the other a barrack style, to assess the impact of measures to reduce the social contact of cases and their contacts. The simulation of highly detailed contact networks accounts for different infrastructural levels, including room, floor, block, and dormitory, and intensity in terms of being regular or transient. Via a branching process model, we then simulated outbreaks that matched the prevalence during the COVID-19 outbreak in the two dormitories and explored alternative scenarios for control. We found that strict isolation of all cases and quarantine of all contacts would lead to very low prevalence but that quarantining only regular contacts would lead to only marginally higher prevalence but substantially fewer total man-hours lost in quarantine. Reducing the density of contacts by 30% through the construction of additional dormitories was modelled to reduce the prevalence by 14 and 9% under smaller and larger outbreaks, respectively. Wearable contact tracing devices may be used not just for contact tracing efforts but also to inform alternative containment measures in high-risk closed settings.

Protecting mental health in quarantine: Exploring lived experiences of healthcare in mandatory COVID-19 quarantine, New South Wales, Australia

ObjectivesIn response to the COVID-19 pandemic, Australia implemented mandatory hotel quarantine for returned international travellers from March 2020–November 2021. Healthcare was rapidly transformed and scaled up to facilitate delivery of face-to-face and virtual healthcare within quarantine facilities. We sought to understand, from the patient perspective, what a virtual model of healthcare may need to be aware of to respond to, protect, and mitigate people's mental health within a ‘public health protection’ context of quarantine. DesignQualitative study design using in-depth semi-structured interviews exploring experiences of the virtual model of healthcare in quarantine. SettingSpecial Health Accommodation (SHA) quarantine facilities following Australian Federal and New South Wales (NSW) State quarantine policy, NSW, Australia. Participants25 returned international travellers aged 18 years or older of any COVID-19 status who quarantined within SHA between October 2020–March 2021. ResultsParticipants identified three broad areas of concern. Firstly, their potential to transmit COVID-19, that created anxiety for all participants. Secondly, the effects of losing personal freedoms in quarantine to protect the wider Australian community. Thirdly, many participants entered quarantine during intense biographical moments in their lives, compounding the stress of their experience. Participants felt lost within the ‘faceless’ quarantine administrative system they navigated prior to their actual arrival in Australia and during their mandated quarantine period. This cumulative experience compromised their expectations and experiences of person-centred care once in quarantine. ConclusionsQuarantine has been a critical public health measure for managing COVID-19 in Australia. The pandemic provides opportunities to learn from quarantine implementation. Participants struggled to separate healthcare provision from the broader quarantine systems and processes. Due to this confusion, blame was directed at healthcare providers for many, and in some cases all difficulties, including those encountered getting into and once within quarantine. Valuable lessons can be learnt from engaging with patients’ perspectives to adapt and strengthen future quarantine to deliver responsive, person-centred healthcare.

Impact of Quarantine and Vaccination Policies on Viral Load

Epidemics and pandemics are a field of scientific research since ancient times. The intensity of the repeated phenomena demonstrates their cyclicality in time. The ongoing COVID-19 pandemic, also known as the coronavirus pandemic, confirmed observations made in previous disease outbreaks. Epidemics are mainly characterized by two factors: (a) the population dynamics and (b) the nature of the disease. This article uses continuous mathematical models, on the basis of a scalable compartmental approach, characterized by systems of ordinary differential equations under the condition that individuals can freely move from one compartment to another. Numerous experiments were carried out to examine the impact of quarantine and vaccination policies, separately or in combination, on cumulative viral load, a measure adopted to reflect the cumulative viral burden of an infected population for a given time period. Current findings demonstrate that quarantine may play a crucial role in controlling an epidemic at its early stages, as well as the importance of early and widespread implementation of a vaccination program. The suggested approach may be utilized to study specific quarantine and vaccination scenarios, by manipulating various parameters such as the duration and extent of social distancing measures or the effectiveness and compliance to vaccination policies, and thus assist in decision making.

Upaya Pemulihan Pendapatan Nasional Sektor Pariwisata Melalui Kebijakan Fiskal di Indonesia Pasca Pandemi

The tourism sector is a contributor to state revenue in the form of foreign exchange and plays a role in increasing productivity and reducing unemployment. The existence of COVID-19 has greatly affected the balance of national income, which has decreased. The sectors most affected are transportation, travel, warehouses and the accommodation and food provision sector. Then the other sector is the tourism sector in Indonesia, about 11.83% of Indonesian workers are in the tourism industry sector. The purpose of this study is to review the impact of Covid -19 which has resulted in the decline of the tourism industry sector in Indonesia and also to respond to Government policies to handle the impact The existence of health quarantine policies, social distancing and Large-Scale Social Restrictions (PSBB) greatly affects the activities of the tourism and manufacturing sectors which causes economic growth to slow down so that national income declines. Tourism is one of the sectors most affected by the Covid-19 pandemic. The tourism sector is the mainstay sector of the national economy that has the potential to encourage economic growth in Indonesia. This is indicated by the increase in the development of foreign tourist arrivals, foreign exchange receipts from the tourism sector, and the contribution of the tourism sector to national GDP. Reduced labor force, unemployment and poverty will increase will cause state revenues in the form of income tax (PPh) to decrease, therefore there needs to be a strategy for economic recovery in the tourism sector, namely fiscal policy. Fiscal policy is one of the economic policies launched by a country to manage and direct the economy to a more conducive condition. The way that this economic policy is highlighted is by changing or updating the management of state revenues and expenditures. This study uses a qualitative descriptive method and the data for this research is based on library research in the form of books, literature, journals, articles about the tourism industry, and how to recover in the post-pandemic, namely fiscal policy. Data obtained through the Central Statistics Agency regarding the development of tourism before and after the pandemic.

Upaya Pemulihan Pendapatan Nasional Sektor Pariwisata Melalui Kebijakan Fiskal di Indonesia Pasca Pandemi

The tourism sector is a contributor to state revenue in the form of foreign exchange and plays a role in increasing productivity and reducing unemployment. The existence of COVID-19 has greatly affected the balance of national income, which has decreased. The sectors most affected are transportation, travel, warehouses and the accommodation and food provision sector. Then the other sector is the tourism sector in Indonesia, about 11.83% of Indonesian workers are in the tourism industry sector. The purpose of this study is to review the impact of Covid -19 which has resulted in the decline of the tourism industry sector in Indonesia and also to respond to Government policies to handle the impact The existence of health quarantine policies, social distancing and Large-Scale Social Restrictions (PSBB) greatly affects the activities of the tourism and manufacturing sectors which causes economic growth to slow down so that national income declines. Tourism is one of the sectors most affected by the Covid-19 pandemic. The tourism sector is the mainstay sector of the national economy that has the potential to encourage economic growth in Indonesia. This is indicated by the increase in the development of foreign tourist arrivals, foreign exchange receipts from the tourism sector, and the contribution of the tourism sector to national GDP. Reduced labor force, unemployment and poverty will increase will cause state revenues in the form of income tax (PPh) to decrease, therefore there needs to be a strategy for economic recovery in the tourism sector, namely fiscal policy. Fiscal policy is one of the economic policies launched by a country to manage and direct the economy to a more conducive condition. The way that this economic policy is highlighted is by changing or updating the management of state revenues and expenditures. This study uses a qualitative descriptive method and the data for this research is based on library research in the form of books, literature, journals, articles about the tourism industry, and how to recover in the post-pandemic, namely fiscal policy. Data obtained through the Central Statistics Agency regarding the development of tourism before and after the pandemic.

Impact of quarantine policies on port network performance and robustness during pandemics: a simulation-based analysis

ABSTRACT To contain the spread of the virus at ports, many countries have implemented quarantine policies for vessels from abroad during COVID-19. In response, vessels chose to skip the port to save time or undergo a 14-day quarantine to ensure critical supplies, both of which significantly affected the performance of the port network. However, due to the combined effect of many factors, data analysis techniques can hardly identify the impact of quarantine policies on the outcomes. Therefore, to enable both networkwide performance assessment and detailed evaluation for individual vessels and ports under such an unprecedented policy, a microscopic simulation model for the global port network (GPN) is desired. The proposed simulation method is based on real-world vessel movement data from Automatic Identification Systems (AIS) combined with a port database. It is found that the effect of the quarantine policy on a particular port consists of two parts, i.e. the direct impact caused by vessels’ port skipping and the indirect impact caused by network interaction, which is further determined by the location of, and the policy implemented by the port. Furthermore, the ability of the global port network to maintain its performance under different levels of pandemic situations and different rates for vessels to skip the ports requiring quarantine is investigated. Interestingly, in most cases, a moderate port skipping rate (mostly between 20% and 50%) could help improve network performance. The results and presented simulation method can assist policymakers in coping with COVID-19 and potential global catastrophes.

Decentralized governance may lead to higher infection levels and sub-optimal releases of quarantines amid the COVID-19 pandemic.

The outbreak of the novel Coronavirus (COVID-19) has led countries worldwide to administer quarantine policies. However, each country or state independently decides what mobility restrictions to administer within its borders while aiming to maximize its own citizens' welfare. Since individuals travel between countries and states, the policy in one country affects the infection levels in other countries. Therefore, a major question is whether the policies dictated by multiple governments could be efficient. Here we focus on the decision regarding the timing of releasing quarantines, which were common during the first year of the pandemic. We consider a game-theoretical epidemiological model in which each government decides when to switch from a restrictive to a non-restrictive quarantine and vice versa. We show that, if travel between countries is frequent, then the policy dictated by multiple governments is sub-optimal. But if international travel is restricted, then the policy may become optimal.

Research on the Impact of Airline Fuel Price Fluctuations on China’s Aviation Industry in the Post-epidemic Era

The first half of 2022 saw a significant increase in global crude oil prices, which led to a significant increase in China’s jet fuel charges, with some airline tickets charging passengers more than the face value of the ticket. This paper explores consumers’ responses to the increase in jet fuel charges. The study shows that consumers are less satisfied with the increase in fuel costs, that some consumers are choosing alternative travel options, and that airline ticket sales for business travel in summer 2022 are lower than in the same period last year. The article explores some preferential fare policies that airlines can use to improve the situation. This article has contributed to the subsequent policies offered by airlines. In the overall environment of rising crude oil charges, the future price trend of jet fuel charges will not return to the low prices before the epidemic, and its impact on consumers will become apparent over time. People’s consumption levels and willingness to spend are gradually decreasing due to the work stoppage and economic slowdown caused by the quarantine policy under the epidemic in China. The trend of increased consumer appetite in the tourism sector, now brought about by the relaxation of the quarantine policy, will also level off.

Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation.

Repeated quarantine policies over the past 3 years have led to poor psychological consequences for the public. Previous studies have proved that the quarantine policy leaves individuals vulnerable to anxiety, depression, and insomnia, especially among college students. This study aims to explore whether psychological problems during isolation continue with the release of isolation. Overall, 2,787 college students both answered a web-based survey during and after the closure management was lifted. The Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Youth Self-rating Insomnia Scale were measured. The cross-lagged path model was used to explore the influence of psychological impact during isolation on the individual after the release. We found that anxiety and sleep disturbance levels alleviated significantly after quarantine, except for depression. As expected, a bidirectional relationship exists between anxiety, depression, and sleep disturbance. Moreover, depression and sleep disturbance can predict post quarantine depression, sleep disturbance, and anxiety, yet anxiety cannot predict sleep disturbance afterward. Timely and effective intervention for anxiety, depression, and insomnia during isolation is essential for individuals to repair themselves quickly after the release.