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Diagnosis Tools and Epidemiologic Profile of the Coronavirus Disease (COVID-19)

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Infectious Disease Epidemiology".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 32646

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Special Issue Information

Dear Colleagues,

In our Special Issue, we intend to demonstrate the impact of coronavirus disease (COVID-19) in a worst case scenario. We hope to receive contributions about the different aspects related to the diagnosis and epidemiologic profile of COVID-19, including its impact on public health. In that sense, studies about the diagnostic tools, mainly the new ones (e.g., mass spectrometry), and the limitations to identifying all cases of COVID-19 are welcome, even among asymptomatic patients and possible underreporting cases. In addition, the epidemiologic aspects related to COVID-19 among neglected populations, such as Black individuals and Indigenous peoples, can demonstrate the barriers to leading to the pandemic in cases of restrictive access to the public health system. We are also searching for contributions to understanding the influence of epidemiologic features (e.g., previous diseases and demographic features) on the COVID-19 outcomes (e.g., need for hospitalization, need for intensive care unit, need for mechanical ventilation support, and mortality rate). The political roles, mainly related to the public health system, will be considered to describe the importance of government measures to control pandemics, even when access to diagnostic tools is a barrier. We are searching mainly for original studies (experimental and observational), systematic reviews, and meta-analysis studies.

Prof. Dr. Fernando Augusto Lima Marson
Guest Editor

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Published Papers (12 papers)

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Research

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14 pages, 1349 KiB  
Article
Knowledge, Attitude, and Practice towards COVID-19 among Patients Attending Phuentsholing Hospital, Bhutan: A Cross-Sectional Study
by Kinley Gyeltshen, Sangay Phuntsho and Kinley Wangdi
Int. J. Environ. Res. Public Health 2023, 20(4), 2942; https://doi.org/10.3390/ijerph20042942 - 8 Feb 2023
Cited by 1 | Viewed by 1843
Abstract
Bhutan is one of the few countries in the world to take unprecedented steps to control the spread of COVID-19 in the country. This study aimed to investigate knowledge, attitude, and practice (KAP) and their associated covariates among patients attending Phuentsholing Hospital, Bhutan. [...] Read more.
Bhutan is one of the few countries in the world to take unprecedented steps to control the spread of COVID-19 in the country. This study aimed to investigate knowledge, attitude, and practice (KAP) and their associated covariates among patients attending Phuentsholing Hospital, Bhutan. Therefore, a cross-sectional study was conducted among patients attending Phuentsholing Hospital in Bhutan between March 17 and April 9, 2021, using an interview-administered questionnaire. The multivariable logistic regression was used to identify statistically significant covariates of good KAP. Further, the association between levels of KAP scores was assessed using Pearson’s correlation coefficient. Of the 441 participants, 54.6% (241) were female. Knowledge, attitude, and practice score were reported by 55.3%, 51.8%, and 83.7% of participants, respectively. Higher education, secondary education, monastic education, and non-formal education were 9 [adjusted odds ratio (AOR) = 9.23; 95% confidence interval (CI) 3.438, 24.797], 3.5 (AOR = 3.5; 95% CI 1.425, 8.619), and 4 (AOR = 3.8; 95% CI 1.199, 12.141) times more likely to report good knowledge than illiterates. A positive attitude was associated with higher (AOR = 2.97; 95% CI 1.154, 7.66) and secondary (AOR = 3.53; 95% CI 1.454, 8.55) education compared to illiteracy. The good practice was associated with higher (AOR = 12.31; 95% CI 2.952, 51.318) and secondary (AOR = 11.5; 95% CI 3.439, 38.476) education compared to illiteracy. Participants in the age groups 26–35 years (AOR = 0.11; 95% CI 0.026, 0.484) and >45 years (AOR = 0.12; 95% CI 0.026, 0.588) were less likely to exhibit good practice compared to those aged 18–25 years. Those working in the private or business sectors were 9 (AOR = 8.81; 95% CI 1.165, 41.455) times more likely to have good practice compared to civil servants. There was a weak but positive correlation between knowledge-attitude (r = 0.228), knowledge-practice (r = 0.220), and attitude-practice scores (r = 0.338). The need for health education on COVID-19 to increase knowledge and attitude is highly recommended, and should be focused on the less educated and other vulnerable groups such as farmers and students, as well as those older than 25 years. Full article
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10 pages, 2185 KiB  
Article
Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis
by Michal Matuszewski, Yurii Reznikov, Michal Pruc, Frank W. Peacock, Alla Navolokina, Raúl Júarez-Vela, Lukasz Jankowski, Zubaid Rafique and Lukasz Szarpak
Int. J. Environ. Res. Public Health 2022, 19(21), 14607; https://doi.org/10.3390/ijerph192114607 - 7 Nov 2022
Cited by 7 | Viewed by 2259
Abstract
Cystatin C is a specific biomarker of kidney function. We perform this meta-analysis to determine the association of Cystatin C with the COVID-19 severity. In this systematic review and meta-analysis, we searched PubMed, EMBASE, Cochrane library, and Web of Science for studies published [...] Read more.
Cystatin C is a specific biomarker of kidney function. We perform this meta-analysis to determine the association of Cystatin C with the COVID-19 severity. In this systematic review and meta-analysis, we searched PubMed, EMBASE, Cochrane library, and Web of Science for studies published until 2nd September 2022 that reported associations between Cystatin C levels and COVID-19 severity. The analysis was performed using a random-effects model to calculate pooled standard mean difference (SMD). Twenty-five studies were included in the meta-analysis. Pooled analysis showed statistically significant differences of Cystatin C levels among survive vs. decreased patients (0.998 ± 0.225 vs. 1.328 ± 0.475 mg/dL, respectively; SMD = −2.14; 95%CI: −3.28 to −1.01; p < 0.001). Cystatin C levels in COVID-19 severe vs. non-severe groups varied and amounted to 1.485 ± 1.191 vs. 1.014 ± 0.601 mg/dL, respectively (SMD = 1.81; 95%CI: 1.29 to 2.32; p < 0.001). Additionally, pooled analysis showed that Cystatin C levels in patients with acute kidney injury (AKI) was 1.562 ± 0.885 mg/dL, compared to 0.811 ± 0.108 mg/dL for patients without AKI (SMD = 4.56; 95%CI: 0.27 to 8.85; p = 0.04). Summing up, Cystatin C is a potentially very good marker to be used in the context of COVID-19 disease due to the prognosis of patients’ serious condition, risk of AKI and mortality. In addition, Cystatin C could be used as a marker of renal complications in COVID-19 other than AKI due to the need to monitor patients even longer after leaving the hospital. Full article
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12 pages, 585 KiB  
Article
HLA Genotypes in Patients with Infection Caused by Different Strains of SARS-CoV-2
by Ludmila Bubnova, Irina Pavlova, Maria Terentieva, Tatiana Glazanova, Elena Belyaeva, Sergei Sidorkevich, Nataliya Bashketova, Irina Chkhingeria, Mal’vina Kozhemyakina, Daniil Azarov, Raisa Kuznetsova, Edward S. Ramsay, Anna Gladkikh, Alena Sharova, Vladimir Dedkov and Areg Totolian
Int. J. Environ. Res. Public Health 2022, 19(21), 14024; https://doi.org/10.3390/ijerph192114024 - 28 Oct 2022
Cited by 1 | Viewed by 1540
Abstract
The aggressive infectious nature of SARS-CoV-2, its rapid spread, and the emergence of mutations necessitate investigation of factors contributing to differences in SARS-CoV-2 susceptibility and severity. The role of genetic variations in the human HLA continues to be studied in various populations in [...] Read more.
The aggressive infectious nature of SARS-CoV-2, its rapid spread, and the emergence of mutations necessitate investigation of factors contributing to differences in SARS-CoV-2 susceptibility and severity. The role of genetic variations in the human HLA continues to be studied in various populations in terms of both its effect on morbidity and clinical manifestation of illness. The study included 484 COVID-19 convalescents (northwest Russia residents of St. Petersburg). Cases in which the responsible strain was determined were divided in two subgroups: group 1 (n = 231) had illness caused by genovariants unrelated to variant of concern (VOC) strains; and group 2 (n = 80) had illness caused by the delta (B.1.617.2) VOC; and a control group (n = 1456). DNA typing (HLA-A, B, DRB1) was performed at the basic resolution level. HLA-A*02 was associated with protection against infection caused by non-VOC SARS-CoV-2 genetic variants only but not against infection caused by delta strains. HLA-A*03 was associated with protection against infection caused by delta strains; and allele groups associated with infection by delta strains were HLA-A*30, B*49, and B*57. Thus, in northwest Russia, HLA-A*02 was associated with protection against infection caused by non-VOC SARS-CoV-2 genetic variants but not against delta viral strains. HLA-A*03 was associated with a reduced risk of infection by delta SARS-CoV-2 strains. HLA-A*30, HLA-B*49, and HLA-B*57 allele groups were predisposing factors for infection by delta (B.1.617.2) strains. Full article
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12 pages, 827 KiB  
Article
The Evolving Scenario of COVID-19 in Hemodialysis Patients
by Pasquale Esposito, Daniela Picciotto, Francesca Cappadona, Elisa Russo, Valeria Falqui, Novella Evelina Conti, Angelica Parodi, Laura Mallia, Sara Cavagnaro, Yuri Battaglia and Francesca Viazzi
Int. J. Environ. Res. Public Health 2022, 19(17), 10836; https://doi.org/10.3390/ijerph191710836 - 31 Aug 2022
Cited by 5 | Viewed by 2110
Abstract
Coronavirus disease 2019 (COVID-19) is a rapidly changing disease. Therefore, in this study, to evaluate the evolution of COVID-19 in hemodialysis patients, we retrospectively compared patients affected by COVID-19 during the first pandemic waves of 2020 (from March to December 2020—Group 1) with [...] Read more.
Coronavirus disease 2019 (COVID-19) is a rapidly changing disease. Therefore, in this study, to evaluate the evolution of COVID-19 in hemodialysis patients, we retrospectively compared patients affected by COVID-19 during the first pandemic waves of 2020 (from March to December 2020—Group 1) with patients with COVID-19 from September 2021 to February 2022 (Group 2) after the full completion of vaccination. Group 1 was constituted of 44 patients (69.3 ± 14.6 years), and Group 2 of 55 patients (67.4 ± 15.3 years). Among Group 2, 52 patients (95%) were vaccinated. Patients of Group 2, compared with Group 1, were more often asymptomatic (38 vs. 10%, p = 0.002) and reported less frequent fever and pulmonary involvement. At diagnosis, Group 2 showed a significantly higher number of lymphocytes and lower levels of circulating IL-6 (16 ± 13.3 vs. 41 ± 39.4 pg/mL, p = 0.002). Moreover, in Group 2, inflammatory parameters significantly improved after a few days from diagnosis. Patients of Group 2 presented a lower hospitalization rate (12.7 vs. 38%, p = 0.004), illness duration (18.8 ± 7.7 vs. 29.2 ± 19.5 days, p = 0.005), and mortality rate (5.4 vs. 25%, p = 0.008). Finally, responders to the vaccination (80% of vaccinated patients) compared with nonresponders showed a reduction in infection duration and hospitalization (5 vs. 40%, p = 0.018). In conclusion, we found that COVID-19 presentation and course in hemodialysis patients have improved over time after the implementation of vaccine campaigns. However, due to the evolving nature of the disease, active surveillance is necessary. Full article
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10 pages, 674 KiB  
Article
Planning and Implementation of COVID-19 Isolation and Quarantine Facilities in Hawaii: A Public Health Case Report
by Victoria Y. Fan, Craig T. Yamaguchi, Ketan Pal, Stephen M. Geib, Leocadia Conlon, Joshua R. Holmes, Yara Sutton, Amihan Aiona, Amy B. Curtis and Edward Mersereau
Int. J. Environ. Res. Public Health 2022, 19(15), 9368; https://doi.org/10.3390/ijerph19159368 - 30 Jul 2022
Cited by 2 | Viewed by 2349
Abstract
In response to the second surge of COVID-19 cases in Hawaii in the fall of 2020, the Hawaii State Department of Health Behavioral Health Administration led and contracted a coalition of agencies to plan and implement an isolation and quarantine facility placement service [...] Read more.
In response to the second surge of COVID-19 cases in Hawaii in the fall of 2020, the Hawaii State Department of Health Behavioral Health Administration led and contracted a coalition of agencies to plan and implement an isolation and quarantine facility placement service that included food, testing, and transportation assistance for a state capitol and major urban center. The goal of the program was to provide safe isolation and quarantine options for individual residents at risk of not being able to comply with isolation and quarantine mandates. Drawing upon historical lived experiences in planning and implementing the system for isolation and quarantine facilities, this qualitative public health case study report applies the plan-do-study-act (PDSA) improvement model and framework to review and summarize the implementation of this system. This case study also offers lessons for a unique opportunity for collaboration led by a public behavioral health leadership that expands upon traditionally narrow infectious disease control, by developing a continuum of care that not only addresses immediate COVID-19 concerns but also longer-term supports and services including housing, access to mental health services, and other social services. This case study highlights the role of a state agency in building a coalition of agencies, including a public university, to respond to the pandemic. The case study also discusses how continuous learning was executed to improve delivery of care. Full article
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20 pages, 1446 KiB  
Article
Characterization of Clinical Features of Hospitalized Patients Due to the SARS-CoV-2 Infection in the Absence of Comorbidities Regarding the Sex: An Epidemiological Study of the First Year of the Pandemic in Brazil
by Nathália Mariana Santos Sansone, Letícia Rogini Pereira, Matheus Negri Boschiero, Felipe Eduardo Valencise, Andréa Melo Alexandre Fraga and Fernando Augusto Lima Marson
Int. J. Environ. Res. Public Health 2022, 19(15), 8895; https://doi.org/10.3390/ijerph19158895 - 22 Jul 2022
Cited by 7 | Viewed by 2235
Abstract
The male sex, due to the presence of genetic, immunological, hormonal, social, and environmental factors, is associated with higher severity and death in Coronavirus Disease (COVID)-19. We conducted an epidemiological study to characterize the COVID-19 clinical profile, severity, and outcome according to sex [...] Read more.
The male sex, due to the presence of genetic, immunological, hormonal, social, and environmental factors, is associated with higher severity and death in Coronavirus Disease (COVID)-19. We conducted an epidemiological study to characterize the COVID-19 clinical profile, severity, and outcome according to sex in patients with the severe acute respiratory syndrome (SARS) due to the fact of this disease. We carried out an epidemiological analysis using epidemiological data made available by the OpenDataSUS, which stores information about SARS in Brazil. We recorded the features of the patients admitted to the hospital for SARS treatment due to the presence of COVID-19 (in the absence of comorbidities) and associated these characteristics with sex and risk of death. The study comprised 336,463 patients, 213,151 of whom were men. Male patients presented a higher number of clinical signs, for example, fever (OR = 1.424; 95%CI = 1.399–1.448), peripheral arterial oxygen saturation (SpO2) < 95% (OR = 1.253; 95%CI = 1.232–1.274), and dyspnea (OR = 1.146; 95%CI = 1.125–1.166) as well as greater need for admission in intensive care unit (ICU, OR = 1.189; 95%CI = 1.168–1.210), and the use of invasive ventilatory support (OR = 1.306; 95%CI = 1.273–1.339) and noninvasive ventilatory support (OR = 1.238; 95%CI = 1.216–1.260) when compared with female patients. Curiously, the male sex was associated only with a small increase in the risk of death when compared with the female sex (OR = 1.041; 95%CI = 1.023–1.060). We did a secondary analysis to identify the main predictors of death. In that sense, the multivariate analysis enabled the prediction of the risk of death, and the male sex was one of the predictors (OR = 1.101; 95%CI = 1.011–1.199); however, with a small effect size. In addition, other factors also contributed to this prediction and presented a great effect size, they are listed below: older age (61–72 years old (OR = 15.778; 95%CI = 1.865–133.492), 73–85 years old (OR = 31.978; 95%CI = 3.779–270.600), and +85 years old (OR = 68.385; 95%CI = 8.164–589.705)); race (Black (OR = 1.247; 95%CI = 1.016–1.531), Pardos (multiracial background; OR = 1.585; 95%CI = 1.450–1.732), and Indigenous (OR = 3.186; 95%CI = 1.927–5.266)); clinical signs (for instance, dyspnea (OR = 1.231; 95%CI = 1.110–1.365) and SpO2 < 95% (OR = 1.367; 95%CI = 1.238–1.508)); need for admission in the ICU (OR = 3.069; 95%CI = 2.789–3.377); and for ventilatory support (invasive (OR = 10.174; 95%CI = 8.803–11.759) and noninvasive (OR = 1.609; 95%CI = 1.438–1.800)). In conclusion, in Brazil, male patients tend to present the phenotype of higher severity in COVID-19, however, with a small effect on the risk of death. Full article
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11 pages, 658 KiB  
Article
Seroprevalence Survey of Anti-SARS-CoV-2 Antibodies in a Population of Emilia-Romagna Region, Northern Italy
by Stefania Paduano, Pasquale Galante, Nausicaa Berselli, Luca Ugolotti, Alberto Modenese, Alessandro Poggi, Marcella Malavolti, Sara Turchi, Isabella Marchesi, Roberto Vivoli, Paola Perlini, Rossana Bellucci, Fabriziomaria Gobba, Marco Vinceti, Tommaso Filippini and Annalisa Bargellini
Int. J. Environ. Res. Public Health 2022, 19(13), 7882; https://doi.org/10.3390/ijerph19137882 - 27 Jun 2022
Cited by 10 | Viewed by 2006
Abstract
Italy was the first Western European country to be severely hit by the COVID-19 pandemic. Variations in seroprevalence rates were reported according to geographical and temporal differences of previous surveys, as well as depending on demographic and occupational factors. In this cross-sectional study, [...] Read more.
Italy was the first Western European country to be severely hit by the COVID-19 pandemic. Variations in seroprevalence rates were reported according to geographical and temporal differences of previous surveys, as well as depending on demographic and occupational factors. In this cross-sectional study, we evaluated the prevalence of anti-SARS-CoV-2 antibodies in a population of the Emilia-Romagna region in Northern Italy after the first wave in the period from 26 September 2020–26 March 2021. We included 5128 subjects who voluntarily underwent serological tests to determine anti-SARS-CoV-2 antibody positivity, including both self-referred individuals (24.2%) and workers adhering to company screening programs (76.8%). Overall, seroprevalence was 11.3%, higher in self-referred (13.8%) than employed-referred (10.5%) individuals. A slightly higher seroprevalence emerged in women compared to men (12.3% and 10.7%), as well as in the extreme age categories (18.6% for 60–69 years, 18.0% for ≥70 years, and 17.1% for <20 years compared to 7.6% for 20–39 years). Healthcare professionals showed the highest prevalence of seropositivity (22.9%), followed by workers in direct contact with customers, such as the communication, finance, and tourism sectors (15.7%). Overall subgroups seroprevalence increased compared to the first wave data but the trends agreed between the first and subsequent waves, except for an increase in the younger age group and in the sector in direct contact with customers. Among the occupational categories, our study confirms that healthcare workers and workers in the sports sector were at high risk of exposure to SARS-CoV-2. Full article
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14 pages, 341 KiB  
Article
Mitigation Planning and Policies Informed by COVID-19 Modeling: A Framework and Case Study of the State of Hawaii
by Thomas H. Lee, Bobby Do, Levi Dantzinger, Joshua Holmes, Monique Chyba, Steven Hankins, Edward Mersereau, Kenneth Hara and Victoria Y. Fan
Int. J. Environ. Res. Public Health 2022, 19(10), 6119; https://doi.org/10.3390/ijerph19106119 - 18 May 2022
Cited by 5 | Viewed by 3518
Abstract
In the face of great uncertainty and a global crisis from COVID-19, mathematical and epidemiologic COVID-19 models proliferated during the pandemic. Yet, many models were not created with the explicit audience of policymakers, the intention of informing specific scenarios, or explicit communication of [...] Read more.
In the face of great uncertainty and a global crisis from COVID-19, mathematical and epidemiologic COVID-19 models proliferated during the pandemic. Yet, many models were not created with the explicit audience of policymakers, the intention of informing specific scenarios, or explicit communication of assumptions, limitations, and complexities. This study presents a case study of the roles, uses, and approaches to COVID-19 modeling and forecasting in one state jurisdiction in the United States. Based on an account of the historical real-world events through lived experiences, we first examine the specific modeling considerations used to inform policy decisions. Then, we review the real-world policy use cases and key decisions that were informed by modeling during the pandemic including the role of modeling in informing planning for hospital capacity, isolation and quarantine facilities, and broad public communication. Key lessons are examined through the real-world application of modeling, noting the importance of locally tailored models, the role of a scientific and technical advisory group, and the challenges of communicating technical considerations to a public audience. Full article
21 pages, 3366 KiB  
Article
Human Development Index Is Associated with COVID-19 Case Fatality Rate in Brazil: An Ecological Study
by Camila Vantini Capasso Palamim, Matheus Negri Boschiero, Felipe Eduardo Valencise and Fernando Augusto Lima Marson
Int. J. Environ. Res. Public Health 2022, 19(9), 5306; https://doi.org/10.3390/ijerph19095306 - 27 Apr 2022
Cited by 13 | Viewed by 3179
Abstract
The Human Development Index measures a region’s development and is a step for development debate beyond the traditional, economic perspective. It can also determine the success of a country’s response to the COVID-19 pandemic, mainly affecting the case fatality rate among severe cases [...] Read more.
The Human Development Index measures a region’s development and is a step for development debate beyond the traditional, economic perspective. It can also determine the success of a country’s response to the COVID-19 pandemic, mainly affecting the case fatality rate among severe cases of SARS-CoV-2 infection. We aimed to associate the Human Development Index with the case fatality rate due to COVID-19 in each Brazilian state and the Federal District, taking into account comorbidities and the need for invasive mechanical ventilation. We also evaluated the influence of the GINI index, number of intensive care unit beds, and occupied households in subnormal clusters on the case fatality rate. We performed an ecological study including two populations: COVID-19 individuals that did not require the mechanical ventilation protocol; and COVID-19 individuals under invasive mechanical ventilation. We performed a Pearson correlation test and a univariate linear regression analysis on the relationship between Human Development Index, Human Development Index—Education Level, Human Development Index—Life Expectancy, and Human Development Index—Gross National Income per capita and COVID-19 deaths. The same analyses were performed using the other markers. We grouped the patients with COVID-19 according to comorbidities and the need for invasive mechanical ventilation. Alpha = 0.05. We included 848,501 COVID-19 individuals, out of which 153,710 needed invasive mechanical ventilation and 314,164 died, and 280,533 COVID-19 individuals without comorbidity, out of which 33,312 needed invasive mechanical ventilation and 73,723 died. We observed a low negative Pearson correlation between the Human Development Index and death and a moderate negative Pearson correlation between the Human Development Index and deaths of individuals on invasive mechanical ventilation, with or without comorbidity. The univariate linear analysis showed the case fatality rate depends on at least 20–40% of the Human Development Index. In Brazil, regions with a low Human Development Index demonstrated a higher case fatality rate due to COVID-19, mainly in individuals who needed invasive mechanical ventilation, than regions with a higher Human Development Index. Although other indexes studied, such as intensive care unit beds and GINI, were also associated with the COVID-19 case fatality rate, they were not as relevant as the Human Development Index. Brazil is a vast territory comprising cultural, social, and economic diversity, which mirrors the diversity of the Human Development Index. Brazil is a model nation for the study of the Human Development Index’s influence on aspects of the COVID-19 pandemic, such as its impact on the case fatality rate. Full article
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Review

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18 pages, 718 KiB  
Review
Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
by Tobias Saegner and Donatas Austys
Int. J. Environ. Res. Public Health 2022, 19(19), 12394; https://doi.org/10.3390/ijerph191912394 - 29 Sep 2022
Cited by 10 | Viewed by 2270
Abstract
The probability of future Coronavirus Disease (COVID)-19 waves remains high, thus COVID-19 surveillance and forecasting remains important. Online search engines harvest vast amounts of data from the general population in real time and make these data publicly accessible via such tools as Google [...] Read more.
The probability of future Coronavirus Disease (COVID)-19 waves remains high, thus COVID-19 surveillance and forecasting remains important. Online search engines harvest vast amounts of data from the general population in real time and make these data publicly accessible via such tools as Google Trends (GT). Therefore, the aim of this study was to review the literature about possible use of GT for COVID-19 surveillance and prediction of its outbreaks. We collected and reviewed articles about the possible use of GT for COVID-19 surveillance published in the first 2 years of the pandemic. We resulted in 54 publications that were used in this review. The majority of the studies (83.3%) included in this review showed positive results of the possible use of GT for forecasting COVID-19 outbreaks. Most of the studies were performed in English-speaking countries (61.1%). The most frequently used keyword was “coronavirus” (53.7%), followed by “COVID-19” (31.5%) and “COVID” (20.4%). Many authors have made analyses in multiple countries (46.3%) and obtained the same results for the majority of them, thus showing the robustness of the chosen methods. Various methods including long short-term memory (3.7%), random forest regression (3.7%), Adaboost algorithm (1.9%), autoregressive integrated moving average, neural network autoregression (1.9%), and vector error correction modeling (1.9%) were used for the analysis. It was seen that most of the publications with positive results (72.2%) were using data from the first wave of the COVID-19 pandemic. Later, the search volumes reduced even though the incidence peaked. In most countries, the use of GT data showed to be beneficial for forecasting and surveillance of COVID-19 spread. Full article
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Other

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16 pages, 1596 KiB  
Brief Report
Retraction of Clinical Trials about the SARS-CoV-2 Infection: An Unaddressed Problem and Its Possible Impact on Coronavirus Disease (COVID)-19 Treatment
by Felipe Eduardo Valencise, Camila Vantini Capasso Palamim and Fernando Augusto Lima Marson
Int. J. Environ. Res. Public Health 2023, 20(3), 1835; https://doi.org/10.3390/ijerph20031835 - 19 Jan 2023
Cited by 7 | Viewed by 2071
Abstract
We are presenting an overview of the retracted clinical trials about the Coronavirus Disease (COVID)-19 published in PubMed using the descriptors ((COVID-19 OR SARS-CoV-2) AND (Clinical Trial)). We collected the information for i) the first author’s country; ii) the journal name where the [...] Read more.
We are presenting an overview of the retracted clinical trials about the Coronavirus Disease (COVID)-19 published in PubMed using the descriptors ((COVID-19 OR SARS-CoV-2) AND (Clinical Trial)). We collected the information for i) the first author’s country; ii) the journal name where the study was published; iii) the impact factor of the journal; iv) the main objective of the study; v) methods including population, intervention, study design, and outcomes; and vi) results and conclusions. We collected complete information from the retraction notes published by the journals and the number of publications/retractions related to non-COVID-19 clinical trials published simultaneously. We also included the Altmetric index for the clinical trials and the retraction notes about COVID-19 to compare the accessibility to both studies’ indexes. The retraction of clinical trials occurred in four countries (one in Lebanon, one in India, one in Brazil, and five in Egypt) and six journals (one in Viruses, one in Archives of Virology, one in Expert Review of Anti-infective Therapy, one in Frontiers in Medicine, two in Scientific Reports, and two in The American Journal of Tropical Medicine and Hygiene). Eight drugs were tested (Ivermectin, Vitamin D, Proxalutamide, Hydroxychloroquine, Remdesevir, Favipiravir, and Sofosbuvir + Daclatasvir) in the studies. One of the retractions was suggested by the authors due to an error in the statistical analysis, which compromised their results and conclusions. Also, the methods, mainly the allocation, were not well conducted in the two studies, and the studies were retracted. In addition, the studies performed by Dabbous et al. presented several issues, mainly including several raw datasets that did not prove their findings. Moreover, two studies were retracted due to data overlap and copying. Significant concerns were raised about the integrity of the data and reported results in another article. We identified a higher Altmetric index for the original studies, proving that the retracted studies were accessed more than the retraction notes. Interestingly, the impact of the original articles is much higher than their retraction notes. The different Altmetric indexes show that possibly people who read those retracted articles are not reading their retraction notes and are unaware of the erroneous information they share. COVID-19- related clinical trials were ~two-time times more retracted than the other clinical trials performed during the same time. Full article
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13 pages, 1844 KiB  
Systematic Review
Long-Term Health Symptoms and Sequelae Following SARS-CoV-2 Infection: An Evidence Map
by Juan Victor Ariel Franco, Luis Ignacio Garegnani, Gisela Viviana Oltra, Maria-Inti Metzendorf, Leonel Fabrizio Trivisonno, Nadia Sgarbossa, Denise Ducks, Katharina Heldt, Rebekka Mumm, Benjamin Barnes and Christa Scheidt-Nave
Int. J. Environ. Res. Public Health 2022, 19(16), 9915; https://doi.org/10.3390/ijerph19169915 - 11 Aug 2022
Cited by 24 | Viewed by 6224
Abstract
Post-COVID-19 conditions, also known as ‘Long-COVID-19’, describe a longer and more complex course of illness than acute COVID-19 with no widely accepted uniform case definition. We aimed to map the available evidence on persistent symptoms and sequelae following SARS-CoV-2 in children and adults. [...] Read more.
Post-COVID-19 conditions, also known as ‘Long-COVID-19’, describe a longer and more complex course of illness than acute COVID-19 with no widely accepted uniform case definition. We aimed to map the available evidence on persistent symptoms and sequelae following SARS-CoV-2 in children and adults. We searched the Cochrane COVID-19 Study Register and the WHO COVID-19 Global literature on coronavirus disease database on 5 November 2021. We included longitudinal and cross-sectional studies and we extracted their characteristics, including the type of core outcomes for post-COVID-19 conditions. We included 565 studies (657 records). Most studies were uncontrolled cohort studies. The median follow-up time was 13 weeks (IQR 9 to 24). Only 72% of studies were conducted in high-income countries, 93% included unvaccinated adults with mild-to-critical disease, only 10% included children and adolescents, and less than 5% included children under the age of five. While most studies focused on health symptoms, including respiratory symptoms (71%), neurological symptoms (57%), fatigue (54%), pain (50%), mental functioning (43%), cardiovascular functioning (40%), and post-exertion symptoms (28%), cognitive function (26%), fewer studies assessed other symptoms such as overall recovery (24%), the need for rehabilitation (18%), health-related quality of life (16%), changes in work/occupation and study (10%), or survival related to long-COVID-19 (4%). There is a need for controlled cohort studies with long-term follow-up and a focus on overall recovery, health-related quality of life, and the ability to perform daily tasks. Studies need to be extended to later phases of the pandemic and countries with low resources. Full article
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