Effects of the COVID-19 pandemic on food insecurity in El Salvador during 2020.

Objective: This study sought to quantify the prevalence of food insecurity among Salvadorian households, to identify the determinants of food insecurity and to explore the impact of the COVID-19 pandemic on food insecurity. Methods: A nationwide, representative random sample of 2358 households was used for this cross-sectional study. The Household Hunger Scale (HHS) was used to assess the prevalence of food insecurity during a 30-day period. For comparison, three items were used from the Household Food Insecurity Experience Scale (HFIES), which measures hunger occurring during a 12-month time frame. For determinant analysis, binary logistic regression was used for the HHS and ordered logistic regression for the HFIES. Results: The prevalence of food insecurity was 6.45% (152/2356) among Salvadorian households when the HHS was used, affecting 5.48% (129/2356) to a moderate degree and 0.98% (23/2356) to a severe degree. The prevalence significantly increased when the HFIES scale items were used, with 35.41% (835/2358) of households being affected, a figure closer to the national poverty level. Determinants of food insecurity according to the HHS included agricultural problems (P = 0.00, odds ratio [OR] =1.69), the household's prepandemic income (P = 0.00, OR = 0.48) and higher educational levels (i.e. having a secondary education [P = 0.00, OR = 0.31], technical [P = 0.03, OR = 0.24] or university education [P = 0.00, OR = 0.05]). When using the HFIES, the determinants were similar (i.e. income, agricultural problems, educational level). In more than 94% (744/785) of households, participants reported that food insecurity was exacerbated by the COVID-19 pandemic. Conclusions: When compared with other relevant international studies, the prevalence of food insecurity identified using the HHS - only 6.45% - was low for El Salvador. However, when using the HFIES scale, the prevalence rose to 35.41% of households. Some determinants align with previous studies, namely income, educational level and agricultural problems. The COVID-19 pandemic appeared to have direct effects on food insecurity.

Myocarditis and pericarditis associated with SARS-CoV-2 vaccines: A population-based descriptive cohort and a nested self-controlled risk interval study using electronic health care data from four European countries.

Background: Estimates of the association between COVID-19 vaccines and myo-/pericarditis risk vary widely across studies due to scarcity of events, especially in age- and sex-stratified analyses. Methods: Population-based cohort study with nested self-controlled risk interval (SCRI) using healthcare data from five European databases. Individuals were followed from 01/01/2020 until end of data availability (31/12/2021 latest). Outcome was first myo-/pericarditis diagnosis. Exposures were first and second dose of Pfizer, AstraZeneca, Moderna, and Janssen COVID-19 vaccines. Baseline incidence rates (IRs), and vaccine- and dose-specific IRs and rate differences were calculated from the cohort The SCRI calculated calendar time-adjusted IR ratios (IRR), using a 60-day pre-vaccination control period and dose-specific 28-day risk windows. IRRs were pooled using random effects meta-analysis. Findings: Over 35 million individuals (49·2% women, median age 39-49 years) were included, of which 57·4% received at least one COVID-19 vaccine dose. Baseline incidence of myocarditis was low. Myocarditis IRRs were elevated after vaccination in those aged < 30 years, after both Pfizer vaccine doses (IRR = 3·3, 95%CI 1·2-9.4; 7·8, 95%CI 2·6-23·5, respectively) and Moderna vaccine dose 2 (IRR = 6·1, 95%CI 1·1-33·5). An effect of AstraZeneca vaccine dose 2 could not be excluded (IRR = 2·42, 95%CI 0·96-6·07). Pericarditis was not associated with vaccination. Interpretation: mRNA-based COVID-19 vaccines and potentially AstraZeneca are associated with increased myocarditis risk in younger individuals, although absolute incidence remains low. More data on children (≤ 11 years) are needed.

Intention to Migrate Due to COVID-19: a Study for El Salvador.

Economic and social conditions have deteriorated worldwide during the COVID-19 pandemic. Migration theory and international organizations indicate that these increasingly fragile social conditions represent powerful incentives to migrate. Normally, studies addressing international migration and COVID-19 focus on transit and destination countries, with substantially less literature centered on origin nations. Trying to close that gap, the present article aims to identify and quantify economic determinants that explain the intention of Salvadorians to migrate abroad. Using a probabilistic sample and a logistic model, a number of renowned economic variables for migration studies were used to investigate Salvadorian's intention to emigrate. Results demonstrated a stark reduction in migration intentions in 2020. Moreover, the risk of losing one's job is by far the most prominent factor explaining the intention to migrate. Other aspects, such as employment and salaries, also showed statistically significant values. Additionally, results report women being less likely to migrate and age to have a negligible effect. The text concludes by indicating some public initiatives that could be implemented to support people who choose to act upon their intentions and embark on emigration.

Myocarditis and pericarditis associated with SARS-CoV-2 vaccines: A population-based descriptive cohort and a nested self-controlled risk interval study using electronic health care data from four European countries

Background: Estimates of the association between COVID-19 vaccines and myo-/pericarditis risk vary widely across studies due to scarcity of events, especially in age- and sex-stratified analyses. Methods: Population-based cohort study with nested self-controlled risk interval (SCRI) using healthcare data from five European databases. Individuals were followed from 01/01/2020 until end of data availability (31/12/2021 latest). Outcome was first myo-/pericarditis diagnosis. Exposures were first and second dose of Pfizer, AstraZeneca, Moderna, and Janssen COVID-19 vaccines. Baseline incidence rates (IRs), and vaccine- and dose-specific IRs and rate differences were calculated from the cohort The SCRI calculated calendar time-adjusted IR ratios (IRR), using a 60-day pre-vaccination control period and dose-specific 28-day risk windows. IRRs were pooled using random effects meta-analysis. Findings: Over 35 million individuals (49·2% women, median age 39–49 years) were included, of which 57·4% received at least one COVID-19 vaccine dose. Baseline incidence of myocarditis was low. Myocarditis IRRs were elevated after vaccination in those aged < 30 years, after both Pfizer vaccine doses (IRR = 3·3, 95%CI 1·2-9.4;7·8, 95%CI 2·6-23·5, respectively) and Moderna vaccine dose 2 (IRR = 6·1, 95%CI 1·1-33·5). An effect of AstraZeneca vaccine dose 2 could not be excluded (IRR = 2·42, 95%CI 0·96-6·07). Pericarditis was not associated with vaccination. Interpretation: mRNA-based COVID-19 vaccines and potentially AstraZeneca are associated with increased myocarditis risk in younger individuals, although absolute incidence remains low. More data on children (≤ 11 years) are needed.

DETERMINANTES DE LA CONFIANZA PÚBLICA EN EL SALVADOR: MANEJO DE LA PANDEMIA POR EL MINISTRO DE SALUD Y EL PRESIDENTE

El presente trabajo tiene como objetivo principal identificar determinantes asociados a la confianza pública en el manejo de la pandemia por covid-19 en El Salvador, Centroamérica. Como forma de aproximación, se abordan los factores que influyen en la evaluación de la ciudadanía respecto a la gestión del ministro de salud Francisco Alabí y del presidente Nayib Bukele. Para la estimación de estos determinantes, se utilizó una muestra probabilistica (n=1305) y se emplearon regresiones lineales múltiples corregidas con errores estándares robustos. Los resultados muestran que tanto el ministro de salud como el presidente gozan de altos índices de confianza en el manejo de la pandemia. Específicamente, variables demográficas como género, edad, ingresos y educación;poseen efectos significativos. Asimismo, la posición ideológica se mostró como determinante. El artículo finaliza destacando dos líneas de investigación latentes: una que aborda la relación confianza pública y autoritarismo y otra centrada en la confianza y cumplimiento de medidas sanitarias.Alternate :This article aims to identify the associated determinants of public trust in the management of the covid-19 pandemic in El Salvador, Central America. As a means to approach it, the text focuses on the factors that affect people's perception on how Salvadorian Minister of Health Francisco Alabí and President Nayib Bukele managed the pandemic. To estimate those determinants, a probabilistic sample was used (n=1305) and multiple linear regressions with robust standard errors were implemented. Results show that both Minister of Health and president are assessed trustworthy when it comes to the handling of the pandemic. Specifically, demographic variables as gender, age, income and education showed statistically significant effects. Moreover, ideology also proved to be determinant. The article ends up highlighting two latent research lines: one related to public trust and authoritarianism and another one versing on trust and voluntary compliance.

Preprints in times of COVID19: the time is ripe for agreeing on terminology and good practices.

Over recent years, the research community has been increasingly using preprint servers to share manuscripts that are not yet peer-reviewed. Even if it enables quick dissemination of research findings, this practice raises several challenges in publication ethics and integrity. In particular, preprints have become an important source of information for stakeholders interested in COVID19 research developments, including traditional media, social media, and policy makers. Despite caveats about their nature, many users can still confuse pre-prints with peer-reviewed manuscripts. If unconfirmed but already widely shared first-draft results later prove wrong or misinterpreted, it can be very difficult to "unlearn" what we thought was true. Complexity further increases if unconfirmed findings have been used to inform guidelines. To help achieve a balance between early access to research findings and its negative consequences, we formulated five recommendations: (a) consensus should be sought on a term clearer than 'pre-print', such as 'Unrefereed manuscript', "Manuscript awaiting peer review" or ''Non-reviewed manuscript"; (b) Caveats about unrefereed manuscripts should be prominent on their first page, and each page should include a red watermark stating 'Caution-Not Peer Reviewed'; (c) pre-print authors should certify that their manuscript will be submitted to a peer-review journal, and should regularly update the manuscript status; (d) high level consultations should be convened, to formulate clear principles and policies for the publication and dissemination of non-peer reviewed research results; (e) in the longer term, an international initiative to certify servers that comply with good practices could be envisaged.

First report on prevalence of SARS-CoV-2 infection among health-care workers in Nicaragua.

The Nicaraguan COVID-19 situation is exceptional for Central America. The government restricts testing and testing supplies, and the true extent of the coronavirus crisis remains unknown. Dozens of deaths have been reported among health-care workers. However, statistics on the crisis' effect on health-care workers and their risk of being infected with SARS-CoV-2 are lacking. We aimed to estimate the prevalence of SARS-CoV-2 infection in health-care workers and to examine correlations with risk factors such as age, sex and comorbidities. Study participants (N = 402, median age 38.48 years) included physicians, nurses and medical assistants, from public and private hospitals, independent of symptom presentation. SARS-CoV-2 was detected on saliva samples using the loop-mediated isothermal amplification assay. A questionnaire was employed to determine subjects' COVID-19-associated symptoms and their vulnerability to complications from risk factors such as age, sex, professional role and comorbidities. The study was performed five weeks into the exponential growth period in Nicaragua. We discovered that 30.35% of health-care workers participating in our study had been infected with SARS-CoV-2. A large percentage (54.92%) of those who tested positive were asymptomatic and were still treating patients. Nearly 50% of health-care workers who tested positive were under 40, an astonishing 30.33% reported having at least one comorbidity. In our study, sex and age are important risk factors for the probability of testing positive for SARS-CoV-2 with significance being greatest among those between 30 and 40 years of age. In general, being male resulted in higher risk. Our data are the first non-governmental data obtained in Nicaragua. They shed light on several important aspects of COVID-19 in an underdeveloped nation whose government has implemented a herd-immunity strategy, while lacking an adequate healthcare system and sufficient PPE for health-care workers. These data are important for creating policies for containing the spread of SARS-CoV-2.

Genomic Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2, Colombia.

Coronavirus disease (COVID-19) in Colombia was first diagnosed in a traveler arriving from Italy on February 26, 2020. However, limited data are available on the origins and number of introductions of COVID-19 into the country. We sequenced the causative agent of COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), from 43 clinical samples we collected, along with another 79 genome sequences available from Colombia. We investigated the emergence and importation routes for SARS-CoV-2 into Colombia by using epidemiologic, historical air travel, and phylogenetic observations. Our study provides evidence of multiple introductions, mostly from Europe, and documents >12 lineages. Phylogenetic findings validate the lineage diversity, support multiple importation events, and demonstrate the evolutionary relationship of epidemiologically linked transmission chains. Our results reconstruct the early evolutionary history of SARS-CoV-2 in Colombia and highlight the advantages of genome sequencing to complement COVID-19 outbreak investigations.