Is Omicron the end of pandemic or start of a new innings?

The most common skin symptoms in young adults and adults related to SARS-CoV-2 virus infection

Scientists from various areas of the world indicate in their studies that skin lesions occur in the course of infection with the SARS-CoV-2 virus. This article is a review of the most frequently described cutaneous manifestations of SARS-CoV-2 virus infection and the potential pathophysiology of their development, as well as information on abnormalities in histopathological tests. The article describes the impact of some factors related to the COVID-19 pandemic on the exacerbation of chronic dermatological diseases. This work was constructed on the basis of 142 research studies, reviews, and meta-analyses, focusing on the methods and materials used in individual works as well as the results and conclusions resulting from them. Some skin lesions may be a potential prognostic marker of the course of the disease and may also be a prodromal symptom or the only symptom of SARS-CoV-2 virus infection. Stress related to the COVID-19 pandemic may exacerbate some chronic dermatological diseases. A correlation was observed between the type of skin lesions and the patient's age. The occurrence of skin diseases may also be influenced by drugs used to treat infections caused by SARS-CoV-2. A relationship was observed between the patient's ethnic origin and skin lesions occurring in the course of COVID-19. There is a need to further diagnose the cutaneous manifestations of SARS-CoV-2 infection and to learn the detailed pathomechanism of their occurrence in order to better understand the essence of the disease and find an appropriate treatment method.

Comparison of Computed Tomography and Clinical Features Between Patients Infected with the SARS-CoV-2 Omicron Variant and the Original Strain

Purpose

To investigate potential differences in clinical and computed tomography (CT) features between patients with the SARS-CoV-2 Omicron variant and the original strain.

Patients and Methods

This retrospective study included 69 hospitalized patients infected with Omicron variant from November to December 2022, and 96 hospitalized patients infected with the original strain from February to March 2020 in Chongqing, China. The clinical features, CT manifestations, degrees of lung involvement in different stages on CT, and imaging changes after the reverse-transcription polymerase chain reaction (RT-PCR) results turned negative were compared between the two groups.

Results

For clinical features, patients with Omicron were predominantly old people and females, without manifestation of any clinical symptoms, who had low serum levels of C-reactive protein and procalcitonin. Shorter interval from symptoms onset to initial CT scan was observed in Omicron patients compared to patients with the original strain (all P < 0.05). For CT features, patients with Omicron were more likely to present with round-like opacities and tree-in-bud pattern (all P < 0.05), but less likely to exhibit a diffuse distribution, patchy and linear opacities, as well as vascular enlargement pattern (all P < 0.05). The Omicron group was more susceptible to exhibiting lower CT involvement scores in each stage (all P < 0.05) and imaging progression after the RT-PCR results turned negative (P < 0.001).

Conclusion

Patients infected with the Omicron variant exhibited less severe changes on chest CT compared to those infected with the original strain. Furthermore, imaging progression under low viral load conditions was more common in patients with Omicron than in those with the original strain.

Strategic Deployment of ICU Nurses in Response to the Omicron Variant Epidemic in Shanghai

Objective

In the first half of 2022, Shanghai faced the challenge of an emerging wave of epidemics caused by the Omicron variant. In response, 48 hospitals, spanning municipal and district levels, were rapidly converted into designated hospitals. This case study focuses on the South Branch of Renji Hospital, School of Medicine, Shanghai Jiaotong University, as one such designated hospital.

Methods

Facing unprecedented challenges without prior experience, we devised a strategic approach to deploy ICU nurses effectively. This approach involved crisis event gradation, establishing a human resources pool, and classifying nursing staff based on qualifications and proficiencies.

Results

By May 11, 2022, all 48 designated hospitals were operational. The South Branch of Renji Hospital treated 3310 Omicron-infected patients between April 7 and June 21, 2022, including 115 critically ill patients in a 38-bed ICU. We meticulously assigned 136 nurses, distributed as follows: Grade A 12.5%, Grade B 12.5%, Grade C 40%, and Grade D 35%, with three specialized nursing managers. Nurses worked tirelessly in 4-hour shifts, wearing full protective gear. Remarkably, the hospital maintained a flawless record, with no nursing-related adverse events and zero patient mortality in the ICU.

Conclusion

Effective management of ICU nursing personnel is associated with patient safety. Strategic rostering and placement of ICU nurses in designated hospitals optimize resource utilization, enhancing service effectiveness and working conditions. This technique is a crucial resource for hospitals facing unforeseen public health crises requiring rapid ICU nurse resource allocation and management.

Severe Loneliness and Isolation in Nursing Students during COVID-19 Lockdown: A Phenomenological Study

In 2022, COVID-19 continued to spread across the globe, and to stop the spread of the virus and protect people's health, universities across China continued to remain in a lockdown state. Loneliness is an important topic among college students, and the coronavirus pandemic has exacerbated loneliness. This prolonged school lockdown was unprecedented and it caused severe social isolation and emotional loneliness for students. Few people know how nursing students experience loneliness and find a way through their experience. This qualitative phenomenological study was conducted to reveal the lived experiences of nursing students who indicated COVID-19 lockdown-related loneliness in a previous quantitative survey. We performed 20 semi-structured interviews with nursing students aged 19-23 yrs during their lockdown (April 2022 to June 2022). Our research applied Colaizzi's seven-step data analysis processes to reveal shared patterns in terms of how nursing students experienced lockdown and found the following four themes: emotional challenges associated with loneliness; causes of loneliness; positive and negative motivation to learn; and accepting solitude and reconstructing real life.

Rapid response of a public health reference laboratory to the COVID-19 pandemic

Introduction. Brazil was one of the most affected countries by the COVID-19 pandemic. Instituto Adolfo Lutz (IAL) is the reference laboratory for COVID-19 in São Paulo, the most populous state in Brazil. In April 2020, a secondary diagnostic pole named IAL-2 was created to enhance IAL's capacity for COVID-19 diagnosis.Hypothesis/Gap Statement. Public health laboratories must be prepared to rapidly respond to emerging epidemics or pandemics.Aim. To describe the design of IAL-2 and correlate the results of RT-qPCR tests for COVID-19 with secondary data on suspected cases of SARS-CoV-2 infection in the São Paulo state.Methodology. This is a retrospective study based on the analysis of secondary data from patients suspected of infection by SARS-CoV-2 whose clinical samples were submitted to real-time PCR after reverse transcription (RT-qPCR) at IAL-2, between 1 April 2020 and 8 March 2022. RT-qPCR Ct results of the different kits used were also analysed.Results. IAL-2 was implemented in April 2020, just over a month after the detection of the first COVID-19 case in Brazil. The laboratory performed 304,250 RT-qPCR tests during the study period, of which 98 319 (32.3 %) were positive, 205827 (67.7 %) negative, and 104 (0.03 %) inconclusive for SARS-CoV-2. RT-qPCR Ct values≤30 for E/N genes of SARS-CoV-2 were presented by 79.7 % of all the samples included in the study.Conclusion. IAL was able to rapidly implement a new laboratory structure to support the processing of an enormous number of samples for diagnosis of COVID-19, outlining strategies to carry out work with quality, using different RT-qPCR protocols.

Evolution of preferences for COVID-19 vaccine throughout the pandemic - The choice experiment approach

In this study, we employ a choice experiment to study individual preferences for COVID-19 vaccines in the US. A unique characteristic of the microdata (N = 5671) is that the survey was conducted in five distinct waves from October 2020 to October 2021. Because of this dynamic feature, it is possible to control for evolving pandemic conditions such as the number of COVID-19 active cases, vaccination uptake, and the frequency of Google searches related to the vaccines. Furthermore, we employ a hybrid choice model to incorporate respondents' attitudes related to their perceived vulnerability to diseases, as well as their perceived health status. The hybrid choice model was extended to incorporate latent classes as well as random effects. We find that the rate of vaccinated individuals in the population actually increases the probability of vaccine hesitancy, and therefore may discourage people to get vaccinated. This may be evidence of free-riding behavior. On the other hand, the number of COVID-19 cases has a positive effect on the probability of getting vaccinated, suggesting that individuals react to the pandemic conditions by taking some protective measures. Google trend data do not seem to have a straightforward effect on the vaccination demand, but it increases consumers' willingness to pay for several vaccine characteristics. With respect to the analyzed attitudes, we find that perceived uninfectability is a significant driver of vaccine hesitancy, probably related to the frequent "natural immunity" argument. In turn, germ aversion has a positive effect on the probability of getting vaccinated as well as on the marginal willingness to pay. Finally, health status has a limited effect on whether the individual will decide to vaccinate or not.

Synthesis and characterization of n-phosphonium chitosan and its virucidal activity evaluation against coronavirus

Despite the worldwide vaccination effort against COVID-19, the demand for biocidal materials has increased. One promising solution is the chemical modification of polysaccharides, such as chitosan, which can provide antiviral activity through the insertion of cationic terminals. In this study, chitosan was modified with (4-carboxybutyl) triphenylphosphonium bromide to create N-phosphonium chitosan (NPCS), a quaternized derivative. The resulting NPCS samples with three degrees of substitution (15.6 %, 19.8 % and 24.2 %) were characterized and found to have improved solubility in water and alkaline solutions but reduced thermal stability. The particles zeta potential exhibits positive charges and is directly correlated with the degree of substitution of the derivative. In virucidal assays, all NPCS samples were able to inhibit 99.999 % of the MHV-3 coronavirus within 5 min at low concentrations of 0.1 mg/mL, while maintaining low cytotoxicity to L929 cells. In addition to its potential application against current coronavirus strains, NPCS could also be valuable in combating future pandemics caused by other viral pathogens. The antiviral properties of NPCS make it a promising material for use in coating surface and personal protective equipment to limit the spread of disease-causing viruses.

The global dynamic transmissibility of COVID-19 and its influencing factors: an analysis of control measures from 176 countries

OBJECTIVE

To summarise the dynamic characteristics of COVID-19 transmissibility; To analyse and quantify the effect of control measures on controlling the transmissibility of COVID-19; To predict and compare the effectiveness of different control measures.

METHODS

We used the basic reproduction number ([Formula: see text]) to measure the transmissibility of COVID-19, the transmissibility of COVID-19 and control measures of 176 countries and regions from January 1, 2020 to May 14, 2022 were included in the study. The dynamic characteristics of COVID-19 transmissibility were summarised through descriptive research and a Dynamic Bayesian Network (DBN) model was constructed to quantify the effect of control measures on controlling the transmissibility of COVID-19.

RESULTS

The results show that the spatial transmissibility of COVID-19 is high in Asia, Europe and Africa, the temporal transmissibility of COVID-19 increases with the epidemic of Beta and Omicron strains. Dynamic Bayesian Network (DBN) model shows that the transmissibility of COVID-19 is negatively correlated with control measures. Restricting population mobility has the strongest effect, nucleic acid testing (NAT) has a strong effect, and vaccination has the weakest effect.

CONCLUSION

Strict control measures are essential for controlling the COVID-19 outbreak; Restricting population mobility and nucleic acid testing (NAT) have significant impacts on controlling the COVID-19 transmissibility, while vaccination has no significant impact. In light of these findings, future control measures may include the widespread use of new NAT technology and the promotion of booster immunization.

Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa

OBJECTIVES

We aimed to compare the clinical severity of Omicron BA.4/BA.5 infection with BA.1 and earlier variant infections among laboratory-confirmed SARS-CoV-2 cases in the Western Cape, South Africa, using timing of infection to infer the lineage/variant causing infection.

METHODS

We included public sector patients aged ≥20 years with laboratory-confirmed COVID-19 between May 01-May 21, 2022 (BA.4/BA.5 wave) and equivalent previous wave periods. We compared the risk between waves of (i) death and (ii) severe hospitalization/death (all within 21 days of diagnosis) using Cox regression adjusted for demographics, comorbidities, admission pressure, vaccination, and previous infection.

RESULTS

Among 3793 patients from the BA.4/BA.5 wave and 190,836 patients from previous waves, the risk of severe hospitalization/death was similar in the BA.4/BA.5 and BA.1 waves (adjusted hazard ratio [aHR] 1.12; 95% confidence interval [CI] 0.93; 1.34). Both Omicron waves had a lower risk of severe outcomes than previous waves. Previous infection (aHR 0.29, 95% CI 0.24; 0.36) and vaccination (aHR 0.17; 95% CI 0.07; 0.40 for at least three doses vs no vaccine) were protective.

CONCLUSION

Disease severity was similar among diagnosed COVID-19 cases in the BA.4/BA.5 and BA.1 periods in the context of growing immunity against SARS-CoV-2 due to previous infection and vaccination, both of which were strongly protective.

SARS-CoV-2 Omicron Variant Genomic Sequences and Their Epidemiological Correlates Regarding the End of the Pandemic: In Silico Analysis

Background

Emergence of the new SARS-CoV-2 variant B.1.1.529 worried health policy makers worldwide due to a large number of mutations in its genomic sequence, especially in the spike protein region. The World Health Organization (WHO) designated this variant as a global variant of concern (VOC), which was named "Omicron." Following Omicron's emergence, a surge of new COVID-19 cases was reported globally, primarily in South Africa.

Objective

The aim of this study was to understand whether Omicron had an epidemiological advantage over existing variants.

Methods

We performed an in silico analysis of the complete genomic sequences of Omicron available on the Global Initiative on Sharing Avian Influenza Data (GISAID) database to analyze the functional impact of the mutations present in this variant on virus-host interactions in terms of viral transmissibility, virulence/lethality, and immune escape. In addition, we performed a correlation analysis of the relative proportion of the genomic sequences of specific SARS-CoV-2 variants (in the period from October 1 to November 29, 2021) with matched epidemiological data (new COVID-19 cases and deaths) from South Africa.

Results

Compared with the current list of global VOCs/variants of interest (VOIs), as per the WHO, Omicron bears more sequence variation, specifically in the spike protein and host receptor-binding motif (RBM). Omicron showed the closest nucleotide and protein sequence homology with the Alpha variant for the complete sequence and the RBM. The mutations were found to be primarily condensed in the spike region (n=28-48) of the virus. Further mutational analysis showed enrichment for the mutations decreasing binding affinity to angiotensin-converting enzyme 2 receptor and receptor-binding domain protein expression, and for increasing the propensity of immune escape. An inverse correlation of Omicron with the Delta variant was noted (r=-0.99, P<.001; 95% CI -0.99 to -0.97) in the sequences reported from South Africa postemergence of the new variant, subsequently showing a decrease. There was a steep rise in new COVID-19 cases in parallel with the increase in the proportion of Omicron isolates since the report of the first case (74%-100%). By contrast, the incidence of new deaths did not increase (r=-0.04, P>.05; 95% CI -0.52 to 0.58).

Conclusions

In silico analysis of viral genomic sequences suggests that the Omicron variant has more remarkable immune-escape ability than existing VOCs/VOIs, including Delta, but reduced virulence/lethality than other reported variants. The higher power for immune escape for Omicron was a likely reason for the resurgence in COVID-19 cases and its rapid rise as the globally dominant strain. Being more infectious but less lethal than the existing variants, Omicron could have plausibly led to widespread unnoticed new, repeated, and vaccine breakthrough infections, raising the population-level immunity barrier against the emergence of new lethal variants. The Omicron variant could have thus paved the way for the end of the pandemic.

Structural Profiles of SARS-CoV-2 Variants in India

India was severely affected by several waves of SARS-CoV-2 infection that occurred during April-June 2021 (second wave) and December 2021-January 2022 (third wave) and thereafter, resulting in >10 million new infections and a significant number of deaths. Global Initiative on Sharing Avian Influenza Data database was used to collect the sequence information of ~10,000 SARS-CoV-2 patients from India and our sequence analysis identified three variants B.1.1.7 (alpha, α), B1.617.2 (delta, Δ), B.1.1.529 (Omicron, Oo) and one Omicron sub-variant BA.2.75 as the primary drivers for SARS-CoV-2 waves in India. Structural visualization and analysis of important mutations of alpha, delta, Omicron and its sub-variants of SARS-CoV-2 Receptor-Binding Domain (RBD) was performed and our analysis clearly shows that mutations occur throughout the RBD, including the RBD surface responsible for human angiotensin-converting enzyme 2 (hACE-2) receptor-binding. A comparison between alpha, delta and omicron variants/sub-variants reveals many omicron mutations in the hACE-2 binding site and several other mutations within 5 Å of this binding region. Further, computational analysis highlights the importance of electrostatic interactions in stabilizing RBD-hACE-2-binding, especially in the omicron variant. Our analysis explores the likely role of key alpha, delta and omicron mutations on binding with hACE-2. Taken together, our study provides novel structural insights into the implications of RBD mutations in alpha, delta and omicron and its sub-variants that were responsible for India's SARS-CoV-2 surge.

A loop-mediated isothermal amplification-enabled analytical assay for the detection of SARS-CoV-2: A review

The number of words: 4645, the number of figures: 4, the number of tables: 1The outbreak of COVID-19 in December 2019 caused a global pandemic of acute respiratory disease, and with the increasing virulence of mutant strains and the number of confirmed cases, this has resulted in a tremendous threat to global public health. Therefore, an accurate diagnosis of COVID-19 is urgently needed for rapid control of SARS-CoV-2 transmission. As a new molecular biology technology, loop-mediated isothermal amplification (LAMP) has the advantages of convenient operation, speed, low cost and high sensitivity and specificity. In the past two years, rampant COVID-19 and the continuous variation in the virus strains have demanded higher requirements for the rapid detection of pathogens. Compared with conventional RT-PCR and real-time RT-PCR methods, genotyping RT-LAMP method and LAMP plus peptide nucleic acid (PNA) probe detection methods have been developed to correctly identified SARS-CoV-2 variants, which is also why LAMP technology has attracted much attention. LAMP detection technology combined with lateral flow assay, microfluidic technology and other sensing technologies can effectively enhance signals by nucleic acid amplification and help to give the resulting output in a faster, more convenient and user-friendly way. At present, LAMP plays an important role in the detection of SARS-CoV-2.

The emergence of SARS-CoV-2 Omicron subvariants: current situation and future trends

The SARS-CoV-2 Omicron variant (B.1.1.529) has been the most recent variant of concern (VOC) established by the World Health Organization (WHO). Because of its greater infectivity and immune evasion, this variant quickly became the dominant type of circulating SARS-CoV-2 worldwide. Our literature review thoroughly explains the current state of Omicron emergence, particularly by comparing different omicron subvariants, including BA.2, BA.1, and BA.3. Such elaboration would be based on structural variations, mutations, clinical manifestation, transmissibility, pathogenicity, and vaccination effectiveness. The most notable difference between the three subvariants is the insufficiency of deletion (Δ69-70) in the spike protein, which results in a lower detection rate of the spike (S) gene target known as (S) gene target failure (SGTF). Furthermore, BA.2 had a stronger affinity to the human Angiotensin-converting Enzyme (hACE2) receptor than other Omicron sub-lineages. Regarding the number of mutations, BA.1.1 has the most (40), followed by BA.1, BA.3, and BA.3 with 39, 34, and 31 mutations, respectively. In addition, BA.2 and BA.3 have greater transmissibility than other sub-lineages (BA.1 and BA.1.1). These characteristics are primarily responsible for Omicron's vast geographical spread and high contagiousness rates, particularly BA.2 sub-lineages.

Emergence of SARS-CoV-2 Omicron variant and strategies for tackling the infection

INTRODUCTION

Nowadays, emerging SARS-CoV-2 Omicron, the novel highly mutated VOC, has quickly spread as the dominant variant in over 190 countries worldwide through the first part of 2022, which is influencing the infectivity, transmissibility, pathogenicity, and severity of COVID-19 pandemic. Additionally, clinical cases and experimental studies have reported that Omicron variant likely leads to weakened immune protection elicited by infection, antibody therapies, and vaccines. The new wave, from late February, 2022, was escalated abruptly by higher levels of transmission of Omicron BA.2 sublineage in China.

METHODS AND RESULTS

Following a systematic database search, this review summarizes the salient features of Omicron sublineages, and their impact on transmissibility, disease severity as well as the efficacy of the available vaccines and treatment against the Omicron.

CONCLUSION

We hope this study will provide a scientific reference for alleviating the burden of COVID-19.

Omicron variant (B.1.1.529) and its sublineages: What do we know so far amid the emergence of recombinant variants of SARS-CoV-2?

Since the start of the COVID-19 pandemic, numerous variants of SARS-CoV-2 have been reported worldwide. The advent of variants of concern (VOCs) raises severe concerns amid the serious containment efforts against COVID-19 that include physical measures, pharmacological repurposing, immunization, and genomic/community surveillance. Omicron variant (B.1.1.529) has been identified as a highly modified, contagious, and crucial variant among the five VOCs of SARS-CoV-2. The increased affinity of the spike protein (S-protein), and host receptor, angiotensin converting enzyme-2 (ACE-2), due to a higher number of mutations in the receptor-binding domain (RBD) of the S-protein has been proposed as the primary reason for the decreased efficacy of majorly available vaccines against the Omicron variant and the increased transmissible nature of the Omicron variant. Because of its significant competitive advantage, the Omicron variant and its sublineages swiftly surpassed other variants to become the dominant circulating lineages in a number of nations. The Omicron variant has been identified as a prevalent strain in the United Kingdom and South Africa. Furthermore, the emergence of recombinant variants through the conjunction of the Omicron variant with other variants or by the mixing of the Omicron variant's sublineages/subvariants poses a major threat to humanity. This raises various issues and hazards regarding the Omicron variant and its sublineages, such as an Omicron variant breakout in susceptible populations among fully vaccinated persons. As a result, understanding the features and genetic implications of this variant is crucial. Hence, we explained in depth the evolution and features of the Omicron variant and analyzed the repercussions of spike mutations on infectiousness, dissemination ability, viral entry mechanism, and immune evasion. We also presented a viewpoint on feasible strategies for precluding and counteracting any future catastrophic emergence and spread of the omicron variant and its sublineages that could result in a detrimental wave of COVID-19 cases.

SARS-CoV-2 infection: Pathogenesis, Immune Responses, Diagnosis

COVID-19 has emerged as the most alarming infection of the present time instigated by the virus SARS-CoV-2. In spite of advanced research technologies, the exact pathophysiology and treatment of the condition still need to be explored. However, SARS-CoV-2 has several structural and functional similarities that resemble SARS-CoV and MERS-CoV which may be beneficial in exploring the possible treatment and diagnostic strategies for SARS-CoV-2. This review discusses the pathogen phenotype, genotype, replication, pathophysiology, elicited immune response and emerging variants of SARS-CoV-2 and their similarities with other similar viruses. SARS-CoV-2 infection is detected by a number of diagnostics techniques, their advantages and limitations are also discussed in detail. The review also focuses on nanotechnology-based easy and fast detection of SARS-CoV-2 infection. Various pathways which might play a vital role during SARS-CoV-2 infection have been elaborately discussed since immune response plays a major role during viral infections.

Identification of antiviral peptide inhibitors for receptor binding domain of SARS-CoV-2 omicron and its sub-variants: an in-silico approach

Omicron, a variant of concern (VOC) of SARS-CoV-2, emerged in South Africa in November 2021. Omicron has been continuously acquiring a series of new mutations, especially in the spike (S) protein that led to high infectivity and transmissibility. Peptides targeting the receptor-binding domain (RBD) of the spike protein by which omicron and its variants attach to the host receptor, angiotensin-converting enzyme (ACE2) can block the viral infection at the first step. This study aims to identify antiviral peptides from the Antiviral peptide database (AVPdb) and HIV-inhibitory peptide database (HIPdb) against the RBD of omicron by using a molecular docking approach. The lead RBD binder peptides obtained through molecular docking were screened for allergenicity and physicochemical criteria (isoelectric point (pI) and net charge) required for peptide-based drugs. The binding affinity of the best five peptide inhibitors with the RBD of omicron was validated further by molecular dynamics (MD) simulation. Our result introduces five antiviral peptides, including AVP1056, AVP1059, AVP1225, AVP1801, and HIP755, that may effectively hinder omicron-host interactions. It is worth mentioning that all the three major sub-variants of omicron, BA.1 (B.1.1.529.1), BA.2 (B.1.1.529.2), and BA.3 (B.1.1.529.3), exhibits conserved ACE-2 interacting residues. Hence, the screened antiviral peptides with similar affinity can also interrupt the RBD-mediated invasion of different major sub-variants of omicron. Altogether, these peptides can be considered in the peptide-based therapeutics development for omicron treatment after further experimentation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-022-03258-4.

Needs of cancer patients during the SARS-CoV-2 Omicron lockdown: A population-based survey in Shanghai, China

The aim of this study was to investigate the medical and healthcare needs of cancer patients during the Shanghai lockdown due to the SARS-CoV-2 Omicron pandemic. From April 15 to April 21, 2022, 4,195 cancer patients from every district in Shanghai were surveyed using quota sampling via an online platform. The questionnaire consisted of three main parts: demographic and sociological data, disease diagnosis, and different dimensions of patients' needs. Correlation analysis was used to examine the relationship between participants' need scores in each dimension, and generalized linear regression models were used to analyze the factors influencing patients' need scores. The mean age of participants was 63.23 years (SD: 7.43 years), with more female than male participants (80.38% vs. 19.62%). Among participants, the three leading groups of patients were those with breast cancer (39.02%), colorectal cancer (12.82%), or tracheal and bronchial lung cancer (10.23%). Social support, dietary/nutritional support, and psychological counselling ranked as the top three needs of cancer patients. In addition, vaccination against SARS-CoV-2 may reduce psychological anxiety in cancer patients. Compared to participants who had never received the SARS-CoV-2 vaccine, participants who had received one, two, or three doses of the vaccine were respectively 36% (odds ratio (OR): 0.64, 95% confidence interval (CI): 0.56-0.73), 38% (OR: 0.62, 95% CI: 0.59-0.54), and 37% (OR: 0.63, 95% CI: 0.60-0.66) less likely to have an increased need for psychological counseling. In light of constraints on offline medical resources for cancer patients during the lockdown, the current authors have begun to re-examine the universal accessibility and spread of telemedicine in the future. In addition, immune barriers can be established for cancer patients and vaccination guidelines for different disease stages, tumor types, and treatment regimens can be explored in detail.