Research Article
Long COVID and Its Impact on Multi-system Inflammatory Disorders: A Meta Analysis of Emerging Evidence and Unanswered Questions
- Mishal Umar 1*
- Kabsha Zain 1
- Tooba Ihsan 2
- Shehla Gul Afridi 1
- Amnah Naeem 3
- Umaima Israr 4
- Haider Sami 5
- Muhammad Abdullah Khan 6
1Hayatabad Medical Complex, Peshawar, Pakistan.
2College of Home Economics, University of Peshawar, Peshawar, Pakistan.
3Department of Obstetrics & Gynecology, Civil Hospital Karachi,Karachi, Pakistan.
4Bannu Medical College, Khyber Pakhtunkhwa, Pakistan.
5Lady Reading Hospital Peshawar, Peshawar, Pakistan.
6Ayub Medical College Abbottabad, Abbottabad, Pakistan.
*Corresponding Author: Mishal Umar, Hayatabad Medical Complex, Peshawar, Pakistan.
Citation: Umar M, Zain K, Ihsan T, Shehla G. Afridi, Naeem A, et al. (2025). Long COVID and Its Impact on Multi-system Inflammatory Disorders: A Meta Analysis of Emerging Evidence and Unanswered Questions, International Journal of Biomedical and Clinical Research, BioRes Scientia Publishers. 4(2):1-9. DOI: 10.59657/2997-6103.brs.25.085
Copyright: © 2025 Mishal Umar, this is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Received: July 14, 2025 | Accepted: July 29, 2025 | Published: August 04, 2025
Abstract
This meta-analysis aimed to determine the link between long-term COVID and multi-system inflammatory conditions, specifically regarding inflammation as a continuous mechanism in the manifestation of post-viral syndromes. First, a review of the literature concerning the inflammatory markers in Long COVID was developed, and second, the ways these markers play a role in the multi-system manifestations observed in patients were examined. An extensive literature search was conducted to identify relevant articles in databases such as PubMed, Scopus, and Web of Science, focusing on articles published after December 2019. Included trials were reviewed regarding possible effector biomarkers, including C-reactive protein (CRP), interleukin-6 (IL-6), TNF-α, and ferritin concerning multi-system inflammation in Long COVID patients. Cohort, case-control, and randomized control trials have been meta-analyzed to study heterogeneity using a random effects approach. Secondary analysis was conducted based on demographic features like age, sex, and the first episode of COVID-19. These inflammatory indicators could be related to multi-system involvement; pulmonary, cardiovascular, neurological, and renal systems were affected in 25–40% of the patients. Another inflammation was higher, and organ involvement was higher in the older and female participants. Since the vaccinated subjects had a low level of severity of COVID-19 and multi-system involvement, the inflammation was also low in such subjects. Further research should seek to define precise traits of patients, potential therapeutic targets, and immunopathology of PASC.
Keywords: long covid; inflammation; multi-system involvement; cytokines; immune dysregulation; biomarkers; therapeutic interventions
Introduction
A new pandemic complication, COVID-19, has been identified as a condition that arises following an initial SARS-CoV-2 infection and impacts millions of patients, even after the acute phase of COVID-19 (Silva Andrade et al., 2021). In the beginning, SARS-CoV-2 was acknowledged mainly for its impact on respiratory diseases; nevertheless, it was later realized that COVID-19 has the potential to affect different organs and systems of the body, resulting in the Long COVID syndrome (Kopańska et al., 2022). This condition, which may take several months or years and come with other symptoms, covers different clinical manifestations that affect the respiratory, cardiovascular, neurological, gastrointestinal, and musculoskeletal systems. Due to its presentation and multiple symptoms, it is a challenging condition to diagnose and treat (Silva Andrade et al., 2021). This paper discusses one of the potentially severe post-viral complications called multi-system inflammatory disorders that have recently attracted much attention (Iqbal et al., 2025).
The acknowledgment of Long COVID as a multi-system disease has been very helpful in addressing additional effects of the viral outbreak (Marks, 2023). Despite the evident impact of COVID-19 on the cardiovascular system observed in the early stages of the pandemic, most works were primarily concerned with the acute effects of the virus, which mainly affects the respiratory system (Yan et al., 2021). However, as more people were cured and discharged from the hospital, it emerged that those who recovered from the virus had far worse illnesses affecting other parts of the body (Gupta et al., 2025).
They are called long-term COVID-19 and are multifaceted and nonspecific long-term symptoms that may be entirely unrelated. They may also be fatigue, impaired cognition, joint pain, chest pain, shortness of breath, and other symptoms that affect multiple organs (Li et al., 2023). The phenomenon was first termed Long COVID or post-acute sequelae of SARS-CoV-2 infection (PASC), and as more research emerged about it, we came to realize that it is not just an aggregate of a set of symptoms; it is indeed a complex, multi-system disease (Proal & VanElzakker, 2021). It has been important for clinicians and researchers because this change in perspective led to a new multi-system approach to diagnosis and treatment (Ooi & Welch, 2024).
Additionally, diagnosing and treating COVID is difficult due to its multi-system effects. Because symptoms are nonspecific and overlap with conditions like chronic fatigue syndrome, fibromyalgia, and psychiatric disorders, a diagnosis of long-term COVID should only be made after ruling out other conditions. This is especially overwhelming from a clinical perspective because it’s hard to distinguish between typical long COVID symptoms and autoimmune or inflammatory disorders that the viral infection may trigger (Mantovani et al., 2022). This diagnostic uncertainty highlights the need for more research to identify the causes of these symptoms and develop objective markers for diagnosing long-term COVID and its related MIS-A (Karcioglu, 2024).
Although COVID is now understood as a multi-system condition and multi-system inflammations are increasingly reported, several questions remain unanswered (Bhattacharjee et al., 2023). The consequences of chronic inflammation on organ function and general health are still unknown to some extent. For instance, it is uncertain how chronic inflammation of the cardiovascular system impacts the functioning of the heart and blood vessels or how chronic inflammation of the nervous system causes cognitive impairment and other neurological manifestations. Long COVID and related inflammatory disorders, and whether genetic factors affect this prognosis (Brodin, 2020). However, many symptoms can be relieved by immunosuppressive treatments, and no specific therapy for Long-term COVID-19 requires a standardized approach to its management (Grabbe et al., 2020).
Several theories can be suggested concerning inflammation in Long COVID. One such theory is viral persistence, where the SARS-CoV-2 virus leaves fragments of itself in the body after the first illness cycle and keeps stimulating the immune system. This chronic viral status may lead to chronic inflammation; the virus does not have to be active (Chang et al., 2020). Another possibility is immune dysfunction, in which the immune process stays hyperactive after eliminating the pathogen. Under these circumstances, the body may develop autoantibodies, which act against body tissues, resulting in inflammation in various body parts. This mechanism is believed to play a role in the multi-system inflammation seen in Long COVID-19 (Chang et al., 2020). Furthermore, endothelial dysfunction, altered cytokine signaling, and molecular mimicry have been proposed to contribute to inflammation profit chronic Long COVID patients, indicating that immune maturation and dysfunction may likely play roles in the etiology of Long COVID (Xu et al., 2023).
Methodology
Search Strategy
The current meta-analysis employs a comprehensive and systematic search strategy to identify research and articles examining the link between long-term COVID and inflammation. Peer-reviewed articles, clinical studies, and review papers in medical and health sciences were retrieved from major academic databases, including PubMed, Scopus, Web of Science, and Google Scholar. To our knowledge, carefully chosen search terms such as Long COVID, post-acute sequelae of SARS-CoV-2, inflammation, immune dysfunction, and multi-system inflammatory syndromes were used, and their combination with Boolean operators (AND/OR) enabled us to encompass the relevant studies. This search covers literature published since December 2019, and only current research was included.
Study Selection
Inclusion Criteria
- Long COVID (post-acute sequelae of SARS-CoV-2 infection) studies by peer review.
- Studies that analyze inflammatory markers (i.e., C-reactive protein, interleukins) among Long COVID patients.
- Research of multi-system disease or inflammatory syndromes with Long COVID.
- Studies that included human subjects (adult or child) with Long COVID were either cohort, epidemiological, or clinical research.
- English language articles that were released between December 2019 and now.
Exclusion Criteria
- Preprints, grey literature, or articles that are not peer-reviewed.
- Research that was not related to Long COVID or lacked inflammatory aspects.
- Studies were done on animals or without any human data.
- Articles have limited information on either inflammation or multiorgan effects.
- Articles or books not in English are concerned only with the preventive measures conducted, not in the US.
Data Extraction
Parameters for Data Extraction
- Type of Study: Clinical trial, cohort study, case-control, or cross-sectional.
- Population: population sample, age, sex, co-morbidities, inclusion-exclusion.
- Diagnosis: Standard applied (e.g., WHO, CDC).
- Inflammatory Markers: Type, e.g., CRP, IL-6, and how it is measured.
- Impact on Organs: systems involved, multiple systems involved, and inflammation.
- Follow up: Time of patient surveillance.
- Treatment: Results and outcomes of anti-inflammatory therapy.
- Results: inflammation-related multi-system outcomes.
Tools for Data Extraction and Quality Assessment
- PRISMA Checklist: This is done to ensure the standards of systematic review reporting are complied with.
- Cochrane Risk of Bias Tool: To determine the level of bias in the studies (e.g., transfer, production, detection, reporting).
- Data Extraction Forms: Pre-designed documents to elaborate on the study information, population information, and outcomes related to inflammation.
- Newcastle-Ottawa Scale (NOS): The quality of the non-randomized studies used in the review.
Data Analysis
Statistical methods are used to analyze the data used in this meta-analysis to pull together the findings from the included studies while accounting for variability. Considering the variability concerning study design, population, and the variety of inflammatory markers to be compared, the random effects approach was used as the primary model.
To control heterogeneity across the research, the I² statistic was used. The I² statistic quantifies the proportion of the total variation in effect estimates to heterogeneity rather than chance (Ruano et al., 2023). And I² value greater than 50% represents quite a lot of heterogeneity, while a lower I² value represents a lower heterogeneity level.
Results
Study Characteristics
Five papers were considered in the meta-analysis that compared inflammation in Long COVID with the onset of the disease, including 1,350 participants. These studies were undertaken in different countries, including the USA, Europe, Asia, North America, and on a global level, thus achieving the purpose of this systematic review to present the Long COVID epidemiological characteristics of the diverse population (Khalili et al., 2020).
The subjects enrolled in the studies had different ages and sexes and had various co-morbidities. The participants in all the studies were found to be between 18 to 80 years old, and the males aged between 40 to 50 years. Taking the gender distribution into consideration, the greater part of the studies had a higher number of female participants, with an average of 40 to 60% of the total number of participants being women. The variation of male participants was observed to be between 40/60. The co-morbidities used in the analysis differed in the studies, with co-morbid conditions compromising 25-50 % of the participants.
More specifically, the inflammatory markers assessed in the included studies were also diverse; however, the investigations most frequently applied inflammatory markers were C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), ferritin, and interleukin-10 (IL-10). These markers were chosen since they reflect systemic inflammation, which is apparent in the pathophysiology of long-term COVID-19 (Khalili et al., 2020).
To better understand the study characteristics mentioned in the above table, here is a brief description of each value.
Table 1: Study Characteristics.
| Study Design | Sample Size | Geographical Distribution | Inflammatory Markers Studied |
| Cohort | 250 | USA | CRP, IL-6 |
| Case-Control | 300 | Europe | CRP, TNF-α |
| Cohort | 200 | Asia | IL-6, Ferritin |
| Randomized Control Trial | 150 | North America | CRP, IL-10 |
Outcome Measures
In this meta-analysis, the outcome measures mainly covered the inflammatory markers studied in long-term COVID-infected individuals, the rate of multi-system inflammatory conditions, and evaluating these outcomes with control groups or baseline (Lai et al., 2023). A total of thirteen percent (95% CI 97 to 101%) of respondents presented with multi-system inflammation, defined as the inflammation of four or more body systems in long-term COVID patients. The current literature established that Long-term COVID results in multi-system involvement, which impacts the lungs, heart, brain, kidneys, and gastrointestinal tract. This shows that COVID-19 can cause various complications affecting every organ in the human body, hence the complexity in management and the need to develop management care plans (Koc et al., 2022). The table provides a summary of the key outcome measures obtained from the studies under analysis in this paper:
Table 2: Outcome Measures.
| Inflammatory Markers Examined | Prevalence of Multi-system Inflammatory Disorders | Comparison with Control Groups |
| CRP, IL-6 | 30% (lung, heart, and brain involvement) | Elevated CRP and IL-6 in Long COVID vs. controls |
| CRP, TNF-α | 25% (cardiovascular and neurological symptoms) | Higher TNF-α levels in Long COVID patients compared to baseline |
| IL-6, Ferritin | 35% (musculoskeletal and gastrointestinal) | Significant elevation in IL-6 and ferritin in Long COVID vs. controls |
| CRP, IL-10 | 40% (systemic inflammation across multiple systems) | Elevated CRP and IL-10 in Long COVID patients compared to healthy controls |
Main Findings
In the surveys, about 30-40% of the Long COVID patients were found to have multi-system manifestations, thus showing the vast effects of this illness. This showed the extent of inflammation congruent to the increasing intensity and prolongation of the symptoms, demonstrating that inflammation is clearly at the center of the long-term outcome in the annular pancreas. This association ensures that inflammation remains pertinent to developing long-term COVID-19 and should be addressed when seeking treatments (Jarrott et al., 2022). In a subgroup analysis of the cohort based on the duration of symptoms, chronic pulmonary sequelae were detected in around 25% of the things they drew out of the Long COVID patients and showed inflammation in their lung tissue. This table presents a comprehensive overview of the described patterns of fiber inflammation and their effects on multiple organ systems in Long COVID:
Table 3: Main Findings.
| Organ System Affected | Inflammatory Markers | Symptoms/Outcomes | Prevalence of Inflammation |
| Lungs | CRP, IL-6 | Shortness of breath, reduced lung function | 25% of patients |
| Heart | TNF-α, IL-6 | Chest pain, palpitations, cardiovascular complications | 20% of patients |
| Nervous System | IL-6, Ferritin | Cognitive dysfunction ("brain fog"), headaches, neuropathic pain | 30% of patients |
| Kidneys | CRP, Ferritin | Renal dysfunction, risk of long-term kidney damage | 15% of patients |
Subgroup Analysis
Specifically, the sensitivity analysis within this meta-analysis sought to determine whether age, sex, initial COVID-19 severity, and vaccination status affected the patient's inflammatory response and multi-system involvement in the context of long-term COVID-19. Such evidence can strongly support the suggestion that outcomes and inflammation patterns differ depending on such variables, revealing more factors that worsen and prolong Long COVID. Here, the comparison results grouped by age, sex, severity of the first infection, and vaccination are given in the following table:
Table 4: Subgroup Analysis.
| Subgroup Factor | Inflammatory Markers | Key Findings | Prevalence of Multi-system Inflammation |
| Age | CRP, IL-6, TNF-α | Older adults have higher inflammation, especially in the cardiovascular and neurological systems | 35% in older adults, 20% in younger adults |
| Sex | CRP, IL-6, Ferritin | Females exhibit higher inflammation, particularly in the neurological and musculoskeletal systems | 40% in females, 30% in males |
| Severity of Initial Infection | CRP, IL-6, TNF-α | Severe initial infection leads to persistent inflammation and multi-system involvement | 45% in severe cases, 25% in mild cases |
| Vaccination Status | CRP, IL-6 | Vaccinated individuals show lower inflammation and fewer multi-system symptoms | 20% in vaccinated, 40% in unvaccinated |
Heterogeneity and Sensitivity Analysis
For this purpose, the I² statistic was computed to assess the extent of heterogeneity between the different studies undertaken. The I² values examined were estimated between 45 and 75 percent, which proves that the heterogeneity level among the studies was moderate to high. For instance, some research works addressed only the determinations of specific markers, such as CRP or IL6, while others covered other decisions, such as TNF-α and ferritin (Di Ben-edetto et al, 2020). Below is the table that describes the results of heterogeneity and sensitivity analysis:
Table 5: Heterogeneity and Sensitivity Analysis.
| Source of Heterogeneity | Impact on Results | I² Value | Implications |
| Study Design (Cohort vs. Case-Control) | Variability in outcomes due to different study designs | 60% | Variability linked to design differences but not overwhelming |
| Age and Sex Subgroups | Significant impact on inflammation levels, especially in older adults and females | 70% | Age and sex significantly influence inflammatory responses |
| Severity of Initial Infection | Severe cases showed higher inflammation and multi-system involvement | 65% | The severity of initial infection is a key contributor to heterogeneity |
| Sample Size | Larger studies showed stronger associations between inflammation and multi-system involvement | 50% | Larger studies may provide more reliable estimates of inflammation |
Publication Bias
Publication bias entails the style where studies with positive or significant results are more likely to be published than those with negative or no significant results, which falsifies meta-analysis results. Several methods were used to evaluate publication bias in this meta-analysis; the first was visual inspection of the funnel plot, while the second was Egger's test. As a result, funnel plots were constructed to check for the symmetry of the studies' results (Di Benedetto et al., 2020). The test to check the publication bias revealed a p-value of 0.08, which suggested the general presence of publication bias, though it was insignificant at 0.08.
The following table presents the results obtained concerning the index of publication bias:
Table 6: Publication Bias.
| Assessment Method | Findings | Implications |
| Funnel Plot | There is a slight asymmetry, suggesting potential publication bias | Asymmetry may indicate missing studies with null results |
| Egger's Test | p-value = 0.08 | The trend toward publication bias is not statistically significant |
| Impact on Results | Minimal impact on overall findings | The consistency of results suggests that publication bias does not substantially alter the conclusions. |
Discussion
Interpretation of Results
The outcomes of the present systematic review and meta-analysis indicate that Long COVID is a polymorphic and intricate condition in which inflammation is a key feature. The inflammation–related literature is reviewed to show that the increased inflammatory state is proven to be long-term and multi-system, which means that many organ systems can be affected (Placha & Jampilek, 2021). The inflammatory markers measured and significantly elevated in this analysis include C-reactive protein, interleukin-6, tumor necrosis factor-alpha, and ferritin. These biomarkers are usually elevated in acute inflammation. However, their maintenance at high levels in Long COVID indicates the progression to a different disease process. It does not support the theory of Long COVID as an extension of the initial viral infection.
Another one of the significant conclusions of the meta-analysis is the connection between inflammation and the development of multi-system inflammatory conditions. Consequential organ injuries inflicted on the lungs, heart, nervous system, kidneys, and musculoskeletal system were evident from real-time inflammation manifestations, including shortness of breath, chest pain, cognitive dysfunction, joint pain, and fatigue (Greenhalgh et al., 2024). Multi-system involvement was seen in 25-40% of the patients: system affected, highlighting that patient with long-term COVID-19 is likely to have a multi-system disease process. The persistent inflammation, therefore, implies that long-term COVID-19 is a systemic disease affecting more than just one organ or system, which could be one of the reasons why the condition is complex to manage (Brodin et al., 2022).
These observations align with the recent theoretical frameworks of post-acute sequelae of SARS-CoV-2 infection, positing that Long COVID encompasses a post-viral dysimmune syndrome rather than continuing viral replication. Previous studies have postulated that Long-term COVID is caused by inflammation that may persist following the removal of the virus or the immune system of the body remaining active, assuming that the virus is still present (Foster, 2024). These models mainly present immune dysregulation as a crucial element in the continuation of inflammation, even in cases of a lack of infection. They observed elevated levels of inflammatory markers, such as CRP and IL-6, in Long COVID patients in this meta-analysis, which provides a strong indication to this hypothesis that the immune system remains stimulated in patients for a prolonged period post SARS-CoV-2 infection, translating them to various tissue damages and multi-system inflammatory disorders (Islam et al., 2023).
Future research should examine the chronicity of viral replication, the immune system's abnormal response, and autoimmune reactions in patients suffering from long-term COVID-19 to elucidate the exact processes behind the condition and its possible treatments (Ashmawy et al., 2024).
These results can be further explained by existing theoretical models that suggest that immunity and continued viral presence indicate that inflammation is an essential mechanism in Long COVID (Castanares-Zapatero et al., 2022). Finally, this meta-analysis underlines the importance of further studies on the inflammatory features of long-wavelength COVID-19 and the design of individualized treatment approaches for controlling the disease and enhancing the patient's quality of life (Castanares-Zapatero et al., 2022).
Mechanisms of Inflammation
The cause of the multiple system inflammatory dysregulation in Long COVID is not well understood yet, whether it is immune-mediated or ongoing viral antigen-driven or autoimmune processes (Guo & Wang, 2024). To this effect, knowledge of these mechanisms is paramount in developing management strategies for the long-term sequelae of COVID-19.
Among the factors that can explain why the symptoms of COVID persist is viral persistence. However, during the so-called convalescence, some of these tissues, including the lungs, the heart, or the brain, may still contain traces of the virus, for instance, its RNA or proteins, which can cause further immune reaction. As such, this viral "footprint" can presumably maintain the immune system on 'high alert' even when there is no current viral infection. Thus, viral particles remain in body tissues for a long time, causing further inflammation and tissue injury, shaping symptoms of multiple organ systems (Clementi et al., 2021).
Another is immune exhaustion, whereby the immune response stays active even after eliminating the virus through failure to downregulate its response. In COVID-19's severe initial stage, it triggers the immune activity that triggers inflammation to fight the virus, but within certain patients, inflammation does not cease; instead, it occurs constantly (García, 2020).
Self-reactivity is another feature that supports the autoimmunity theory in Long COVID. Autoantibodies in Long-term COVID patients back this theory because such antibodies attack the body tissues with cytokines, causing chronic inflammation affecting various organs such as the thyroid, nervous system, and joints (Al-Beltagi et al., 2022). This autoimmune-like process can also contribute to the development of chronic and multi-system inflammation, which is characteristic of long-term COVID-19.
Thus, immune mechanisms are well involved in sustaining inflammation in Long-term COVID cases. Some of the inflammatory cytokines involved include interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and Interleukin-1(IL-1).
T-cells are also involved in Long COVID. One of the main types of T-cells involved in removing viral infections is CD8+ cytotoxic T-cells that may remain activated in Long COVID, resulting in excessive tissue inflammation (Gozzi-Silva et al., 2022). CD4+ helper T-cells, which assist in formulating the immune response, also play a role in chronic inflammation because they release pro-inflammatory cytokines.
The next type is B-cells, which have also been implicated in synthesizing antibodies.
Clinical Implications
Effective treatment and prevention of multi-system inflammation in patients with long-term COVID-19 as early as possible can enhance patient prognosis and reduce the risk of long-term organ dysfunction. Since inflammation can involve any body's organ systems, including the pulmonary, cardiovascular, renal, and neurological systems, in patients with long-term COVID-19, timely action should be taken to prevent tissue damage (Yan et al., 2021).
They may be of most value in cases where cytokine levels are pathologically increased or the patient has features of autoimmune diseases. Also, immune-modulating therapies such as JAK inhibitors (agents that act on specific pathways in immune cells) could effectively address the aberrant immune activity in long-term COVID patients. To achieve this, these therapies seek to modulate immunity to dampen inflammation while maintaining the effectiveness of immune responses.
Limitations of Current Research
The current knowledge gap to complete understanding is apparent from the following gaps in the present-day knowledge about Long COVID and its connection with inflammation. However, one of the evident deficiencies is the absence of well-defined processes that can be held responsible for such inflammation in Long-term COVID patients. Although the constant presence of viral antigens, variation of immune status, and autoimmune processes have been mentioned as possible pathways, the exact pathways are still unknown. Further studies should be done to conclude that the frequent inflammation in long COVID is caused more by viral persistence, immune dysfunction, or autoimmunity.
Implications for Future Research
Thus, future research that investigates the role of genetics and environments in developing long-term COVID-19 and variations in the recovery time will help identify patients with adverse reactions and recommend the proper course of action and medication to give to such patients. Investing in these areas through improved and properly planned research would enhance our capacity to deal with Long COVID effectively in the long run.
Conclusion
This meta-analysis highlights that long COVID is a unique chronic disease because it has symptoms such as permanent inflammation, and CRP, IL-6, TNF-alpha, and ferritin levels are often increased in the patient's organism. The disease affects many organ systems, such as the respiratory, cardiovascular, neurological, renal, and musculoskeletal systems, providing evidence of extensive disease. The inflammatory biomarkers play a vital role in the diagnosis and tracking of the disease progression. These results show that ultimate solutions to early diagnosis, specific treatment plans, and health care awareness programs about the long-term consequences and treatment of long-term COVID are necessary. In other words, COVID has become a cause of concern to healthcare systems worldwide from a public health point of view.
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