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1.
Diseases ; 10(4)2022 Oct 18.
Article in English | MEDLINE | ID: covidwho-2082128

ABSTRACT

Background Media coverage of the COVID-19 pandemic increased tuning ratings during this time. The aim of this study was to identify misleading advertising of health-related products on Ecuadorian television during the COVID-19 pandemic. Methods Television channels were monitored for 111 h in the months of June and October 2020. Verbal, nonverbal and context content were analyzed from each advertising spot according to ethical standards for the promotion of products for human health Results A total of 667 spots were analyzed. Most, 90%, involved misleading advertising of health-related products. Products for gastrointestinal conditions were the most publicized (17.8%) during the period analyzed. Newscasts most often advertised products intended to improve sexual potency (22.9%) and to a lesser degree those intended to prevent and treat respiratory problems (1.8%); this relationship was reversed when compared to general programming (p < 0.05). Conclusions Most of the health-related products advertised on Ecuadorian television are advertised misleadingly, with news programs having the highest number of such advertisements per hour of programming.

2.
Front Public Health ; 9: 734065, 2021.
Article in English | MEDLINE | ID: covidwho-1591400

ABSTRACT

Background: In an elderly population with hypertension, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated with a higher incidence of mortality and a protracted course of clinical symptoms. Objective: To assess the perceived risk of infection and complications due to COVID-19 in people with hypertension living in a semi-urban city of Ecuador. Methods: A cross-sectional telephone survey of adult outpatients with a previous diagnosis of hypertension in the semi-urban community of Conocoto in Quito, Ecuador was conducted from August to December 2020. Results: A total of 260 adult outpatients, aged 34-97 years, completed telephone surveys. Of total, 71.5% (n = 186) of respondents were women and 28.5% (n = 74) of respondents were men. Overall, 18.1% believe that their risk of infection is "very high," 55.4% believe that their risk of infection is "high," 21.5% believe that their risk of infection is "low," and 5% believe that their risk of infection is "very low." The perceived risk of complications, if infected by COVID-19, revealed that 21.9% believe that their risk of complication is "very high," 65.0% believe that their risk of complication is "high," 10.4% believe that their risk of complication is "low," and 2.7% believe that their risk of complication is "very low." Conclusion: Patients with hypertension are aware of the risks posed by COVID-19 infection and its impact on their health. However, the health system must educate the population on health practices and behaviors to avoid COVID-19 infection until the majority of the population of Ecuador can be vaccinated.


Subject(s)
COVID-19 , Hypertension , Adult , Aged , Cross-Sectional Studies , Ecuador/epidemiology , Female , Health Knowledge, Attitudes, Practice , Humans , Hypertension/epidemiology , Male , Perception , SARS-CoV-2
3.
BMC Public Health ; 21(1): 2079, 2021 11 12.
Article in English | MEDLINE | ID: covidwho-1515441

ABSTRACT

BACKGROUND: The SARS-CoV-2/COVID-19 pandemic has claimed nearly 900,000 lives worldwide and infected more than 27 million people. Researchers worldwide are studying ways to decrease SARS-CoV-2 transmission and COVID-19 related deaths. Several studies found altitude having a negative association with both COVID-19 incidence and deaths. Ecuadorian data was used to explore the relationship between altitude and COVID-19. METHODS: This is an ecological study examining province-level data. To explore a relationship between altitude and COVID-19, this study utilized publicly available COVID-19 data and population statistics. ANOVA, correlation statistics, and a multivariate linear model explored the relationship between different Ecuadorian altitudes against incidence, mortality, and case-fatality rates. Population statistics attributed to COVID-19 were included in the linear model to control for confounding factors. RESULTS: Statistically significant differences were observed in the regions of Amazónica, Sierra, Costa of Ecuador for incidence, mortality, and case fatality rates, suggesting an association between altitude and SARS-CoV-2 transmission and COVID-19 disease severity (p-value ≤0.05). In univariate analysis, altitude had a negative association to mortality rate with a 1-unit change in altitude resulting in the decrease of 0.006 units in mortality rate (p-value = 0.03). The multiple linear models adjusted for population statistics showed a statistically significant negative association of altitude with mortality rate (p-value = 0.01) with a 1-unit change in altitude resulting in the decrease in mortality rate by 0.015 units. Overall, the model helped in explaining 50% (R2 = 0.4962) of the variance in mortality rate. CONCLUSION: Altitude may have an effect on COVID-19 mortality rates. However, based on our model and R2 value, the relationship between our variables of interest and COVID-19 mortality may be nonlinear. More research is needed to understand why altitude may have a protective effect against COVID-19 mortality and how this may be applicable in a clinical setting.


Subject(s)
Altitude , COVID-19 , Ecuador/epidemiology , Humans , Pandemics , SARS-CoV-2
4.
Lancet ; 398(10307): 1212-1213, 2021 10 02.
Article in English | MEDLINE | ID: covidwho-1447239
5.
PLoS One ; 16(5): e0251295, 2021.
Article in English | MEDLINE | ID: covidwho-1231261

ABSTRACT

The World Health Organization (WHO) declared coronavirus disease-2019 (COVID-19) a global pandemic on 11 March 2020. In Ecuador, the first case of COVID-19 was recorded on 29 February 2020. Despite efforts to control its spread, SARS-CoV-2 overran the Ecuadorian public health system, which became one of the most affected in Latin America on 24 April 2020. The Hospital General del Sur de Quito (HGSQ) had to transition from a general to a specific COVID-19 health center in a short period of time to fulfill the health demand from patients with respiratory afflictions. Here, we summarized the implementations applied in the HGSQ to become a COVID-19 exclusive hospital, including the rearrangement of hospital rooms and a triage strategy based on a severity score calculated through an artificial intelligence (AI)-assisted chest computed tomography (CT). Moreover, we present clinical, epidemiological, and laboratory data from 75 laboratory tested COVID-19 patients, which represent the first outbreak of Quito city. The majority of patients were male with a median age of 50 years. We found differences in laboratory parameters between intensive care unit (ICU) and non-ICU cases considering C-reactive protein, lactate dehydrogenase, and lymphocytes. Sensitivity and specificity of the AI-assisted chest CT were 21.4% and 66.7%, respectively, when considering a score >70%; regardless, this system became a cornerstone of hospital triage due to the lack of RT-PCR testing and timely results. If health workers act as vectors of SARS-CoV-2 at their domiciles, they can seed outbreaks that might put 1,879,047 people at risk of infection within 15 km around the hospital. Despite our limited sample size, the information presented can be used as a local example that might aid future responses in low and middle-income countries facing respiratory transmitted epidemics.


Subject(s)
COVID-19/diagnostic imaging , COVID-19/epidemiology , Hospitals, Special/organization & administration , Hospitals, Special/trends , Pandemics/prevention & control , SARS-CoV-2/genetics , Triage/methods , Adult , Aged , Artificial Intelligence , COVID-19/prevention & control , COVID-19/virology , COVID-19 Nucleic Acid Testing , Ecuador/epidemiology , Female , Humans , Intensive Care Units , Male , Mass Chest X-Ray/methods , Middle Aged , Real-Time Polymerase Chain Reaction , Reverse Transcriptase Polymerase Chain Reaction , Risk Factors , Tomography, X-Ray Computed/methods
6.
Risk Manag Healthc Policy ; 14: 1311-1317, 2021.
Article in English | MEDLINE | ID: covidwho-1170035

ABSTRACT

PURPOSE: Discharge or follow up of confirmed coronavirus disease 2019 (COVID-19) cases depend on accurate interpretation of RT-PCR. Currently, positive/negative interpretations are based on amplification instead of quantification of cycle threshold (Ct) values, which could be used as proxies of patient infectiousness. Here, we measured Ct values in hospitalized confirmed COVID-19 patients at different times and its implications in diagnosis and follow up. PATIENTS AND METHODS: Observational study between March 17th-May 12th, 2020 using multiple RT-PCR testing. A cohort of 118 Hispanic hospitalized patients with confirmed COVID-19 diagnosis in a reference hospital in Quito, Ecuador. Multiple RT-PCR tests were performed using deep nasal swab samples and the assessment of SARS-CoV-2 genes N, RdRP, and E. RESULTS: Patients' median age was of 49 years (range: 24-91) with a male majority (62.7%). We found increasing levels of Ct values in time, with a mean Ct value of 29.13 (n = 61, standard deviation (sd) = 5.55) for the first test and 34.38 (n = 60, sd = 4), 35.52 (n = 20, sd = 2.85), and 36.12 (n = 6, sd = 3.28), for the second, third, and fourth tests, respectively. Time to RT-PCR lack of amplification for all tests was of 34 days while time to RT-PCR Ct values >33 was of 30 days. CONCLUSION: Cycle thresholds can potentially be used to improve diagnosis, management and control. We found that turnover time for negativity can be large for hospitalized patients and that 11% cases persisted with infectious Ct values for more time than the current isolation recommendations.

7.
PeerJ ; 9: e10927, 2021.
Article in English | MEDLINE | ID: covidwho-1134467

ABSTRACT

BACKGROUND: Preprints are preliminary reports that have not been peer-reviewed. In December 2019, a novel coronavirus appeared in China, and since then, scientific production, including preprints, has drastically increased. In this study, we intend to evaluate how often preprints about COVID-19 were published in scholarly journals and cited. METHODS: We searched the iSearch COVID-19 portfolio to identify all preprints related to COVID-19 posted on bioRxiv, medRxiv, and Research Square from January 1, 2020, to May 31, 2020. We used a custom-designed program to obtain metadata using the Crossref public API. After that, we determined the publication rate and made comparisons based on citation counts using non-parametric methods. Also, we compared the publication rate, citation counts, and time interval from posting on a preprint server to publication in a scholarly journal among the three different preprint servers. RESULTS: Our sample included 5,061 preprints, out of which 288 were published in scholarly journals and 4,773 remained unpublished (publication rate of 5.7%). We found that articles published in scholarly journals had a significantly higher total citation count than unpublished preprints within our sample (p < 0.001), and that preprints that were eventually published had a higher citation count as preprints when compared to unpublished preprints (p < 0.001). As well, we found that published preprints had a significantly higher citation count after publication in a scholarly journal compared to as a preprint (p < 0.001). Our results also show that medRxiv had the highest publication rate, while bioRxiv had the highest citation count and shortest time interval from posting on a preprint server to publication in a scholarly journal. CONCLUSIONS: We found a remarkably low publication rate for preprints within our sample, despite accelerated time to publication by multiple scholarly journals. These findings could be partially attributed to the unprecedented surge in scientific production observed during the COVID-19 pandemic, which might saturate reviewing and editing processes in scholarly journals. However, our findings show that preprints had a significantly lower scientific impact, which might suggest that some preprints have lower quality and will not be able to endure peer-reviewing processes to be published in a peer-reviewed journal.

9.
Vaccines (Basel) ; 9(2)2021 Jan 27.
Article in English | MEDLINE | ID: covidwho-1050650

ABSTRACT

The Bacillus Calmette-Guérin (BCG) is a well-known vaccine with almost a century of use, with the apparent capability to improve cytokine production and epigenetics changes that could develop a better response to pathogens. It has been postulated that BCG protection against SARS-CoV-2 has a potential role in the pandemic, through the presence of homologous amino acid sequences. To identify a possible link between BCG vaccination coverage and COVID-19 cases, we used official epidemic data and Ecuadorian Ministry of Health and Pan American Health Organization vaccination information. BCG information before 1979 was available only at a national level. Therefore, projections based on the last 20 years were performed, to compare by specific geographic units. We used a Mann-Kendall test to identify BCG coverage variations, and mapping was conducted with a free geographic information system (QGIS). Nine provinces where BCG vaccine coverage was lower than 74.25% show a significant statistical association (χ2 Pearson's = 4.800, df = 1, p = 0.028), with a higher prevalence of cases for people aged 50 to 64 years than in younger people aged 20 to 49 years. Despite the availability of BCG vaccination data and the mathematical models needed to compare these data with COVID-19 cases, our results show that, in geographic areas where BCG coverage was low, 50% presented a high prevalence of COVID-19 cases that were young; thus, low-coverage years were more affected.

10.
Maturitas ; 141: 59-62, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-611714

ABSTRACT

OBJECTIVE: To examine mortality rates related to coronavirus disease 2019 (COVID-19) by gender among European countries. METHODS: PubMed, preprint medRxiv and bioRxiv repositories, and Google were searched for the terms COVID-19, mortality rates, gender, and Europe. Only Google provided a website with appropriate information. COVID-19 cases and deaths from European countries were extracted by gender from the Global Health 50/50 repository up to May 23, 2020. Extracted data included country, the total number of COVID-19 cases and the number of related deaths by gender. Random effects models with the inverse variance method were used for meta-analyses. Results are reported as death risk ratios (RRs). RESULTS: We identified information from 23 European countries that reported separately by gender mortality rates related to COVID-19. The sample comprised 484,919 men and 605,229 women positive for COVID-19. The mortality rate was significantly higher in men than in women (risk ratio = 1.60, 95 % confidence interval [CI] 1.53, 1.68). The trend was similar when countries reporting < 5000, or < 10,000 cases were excluded from the analysis (RR = 1.60, 95 % CI 1.52, 1.69 and RR = 1.68; CI 1.62, 1.76, respectively). CONCLUSION: In Europe, the new zoonotic coronavirus causes significantly more deaths in men than in women.


Subject(s)
Coronavirus Infections/mortality , Pandemics , Pneumonia, Viral/mortality , Betacoronavirus , COVID-19 , Europe/epidemiology , Female , Humans , Male , SARS-CoV-2 , Sex Distribution
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