Prevalence of suicidal behavior in a northeastern Mexican border population during the COVID-19 pandemic.

Introduction: Before the pandemic, suicide was already considered a global public health problem. The outbreak of COVID-19, a coronavirus-related infectious disease, began to impact people's physical and mental health. The factors that either contribute to or mitigate this risk need to be better understood, and this can only be accomplished through research. Therefore, this study aimed to study the prevalence of suicidal ideation and behavior in Tamaulipas, Mexico, during the COVID-19 pandemic. Methods: A quantitative, descriptive, and cross-sectional study was conducted. The sample consisted of 659 participants, of whom 194 (29.5%) were men and 465 (70.5%) participants were oldwomen, ranging in age between 16 and 68 years (M = 22.56, SD = 7.26). An adapted version of the Spanish version of the Columbia Suicidal Severity Rating Scale was used to assess the seriousness of suicidal ideation and behavior. Results: The higher rates of suicidal indicators were suicidal ideation with "wish to dead" (39.9%), while the lower was suicidal ideation with a specific plan (8.2%). A total of 18.2% of participants reported "suicidal attempts before COVID-19," of whom 40% reported "suicidal attempts in the last 3 months." Suicidal behavior rates were lower: 13.7% of participants reported "non-specific preparatory behavior" and 13.3% reported "actual suicide attempts." Women were more likely than men to exhibit almost all indicators of suicidal ideation and behavior (OR = 1.63-2.54; 95% CI = 1.11-2.41, 1.76-3.68), as well as confinement (OR = 2.60; 95% CI = 1.73-3.91). Confinement for more than 40 days (OR = 0.55-0.66; 95% CI = 0.40-0.75, 0.47-0.93) and knowing a person infected with COVID-19 (OR = 1.57-2.01; 95% CI = 1.02-2.42, 1.20-3.34) were associated with a higher risk of exhibiting several suicidal indicators and having previously attempted suicide. Conclusion: Being a woman, knowing a person infected with COVID-19, and being confined, especially for longer than 40 days, are all risk factors for suicidal ideation. Therefore, intervention programs are needed to reduce the suicide risk prevalence, especially these days because of the influence of the pandemic, and should be primarily focused on those who present the risk factors associated with suicidal behavior identified in this study.

Prevalence of suicidal behavior in a northeastern Mexican border population during the COVID-19 pandemic

Introduction Before the pandemic, suicide was already considered a global public health problem. The outbreak of COVID-19, a coronavirus-related infectious disease, began to impact people's physical and mental health. The factors that either contribute to or mitigate this risk need to be better understood, and this can only be accomplished through research. Therefore, this study aimed to study the prevalence of suicidal ideation and behavior in Tamaulipas, Mexico, during the COVID-19 pandemic. Methods A quantitative, descriptive, and cross-sectional study was conducted. The sample consisted of 659 participants, of whom 194 (29.5%) were men and 465 (70.5%) participants were oldwomen, ranging in age between 16 and 68 years (M = 22.56, SD = 7.26). An adapted version of the Spanish version of the Columbia Suicidal Severity Rating Scale was used to assess the seriousness of suicidal ideation and behavior. Results The higher rates of suicidal indicators were suicidal ideation with "wish to dead” (39.9%), while the lower was suicidal ideation with a specific plan (8.2%). A total of 18.2% of participants reported "suicidal attempts before COVID-19,” of whom 40% reported "suicidal attempts in the last 3 months.” Suicidal behavior rates were lower: 13.7% of participants reported "non-specific preparatory behavior” and 13.3% reported "actual suicide attempts.” Women were more likely than men to exhibit almost all indicators of suicidal ideation and behavior (OR = 1.63–2.54;95% CI = 1.11–2.41, 1.76–3.68), as well as confinement (OR = 2.60;95% CI = 1.73–3.91). Confinement for more than 40 days (OR = 0.55–0.66;95% CI = 0.40–0.75, 0.47–0.93) and knowing a person infected with COVID-19 (OR = 1.57–2.01;95% CI = 1.02–2.42, 1.20–3.34) were associated with a higher risk of exhibiting several suicidal indicators and having previously attempted suicide. Conclusion Being a woman, knowing a person infected with COVID-19, and being confined, especially for longer than 40 days, are all risk factors for suicidal ideation. Therefore, intervention programs are needed to reduce the suicide risk prevalence, especially these days because of the influence of the pandemic, and should be primarily focused on those who present the risk factors associated with suicidal behavior identified in this study.

Neglected and (re−)emergent infections of the CNS i n low−/middle-income countries

SUMMARY Low- and middle-income countries (LMIC) have suffered from long-term health system deficiencies, worsened by poor living conditions, lack of sanitation, a restricted access to health facilities and running water, overcrowding, and overpopulation. These factors favor human displacement and deepen marginalization;consequently, their population endures a high burden of infectious diseases. In this context, the current epidemiological landscape and its impact on health and economic development are not promissory, despite the commitment by the international community to eradicate neglected tropical infections - especially tuberculosis and malaria, by 2030. Neglected and (re)-emerging infectious diseases affecting the central nervous system (CNS) are a major public health concern in these countries, as they cause a great morbidity and mortality;furthermore, survivors often suffer from severe neurological disabilities. Herein, we present a retrospective review focused on some neglected and (re)-emerging infectious diseases, including neurocysticercosis, malaria, rabies, West Nile virus encephalitis, tuberculosis, neuroborreliosis, and SARS-CoV-2 in LMIC. A retrospective review of studies on selected neglected and (re)-emerging infectious diseases in LMIC was performed, including reports by the World Health Organization (WHO) published within the last five years. Data on infection by SARS-CoV-2 were provided by the John Hopkins University Coronavirus Resource Center. CNS neglected and (re)-emerging infectious diseases remain as important causes of disease in LMIC. An alarming increase in the prevalence of malaria, tuberculosis, and cysticercosis is observed in the region, compounded by the recent COVID-19 pandemic. The WHO is currently supporting programs/efforts to cope with these diseases. Herein, we highlight the epidemiological burden of some CNS infections in LMIC, and their clinical and neuroimaging features, to facilitate an accurate diagnosis, considering that most of these diseases will not be eradicated in the short term;instead, their incidence will likely increase along with poverty, inequality, and related socioeconomic problems.

Neglected and (re-)emergent infections of the CNS i n low-/middle-income countries.

Low- and middle-income countries (LMIC) have suffered from long-term health system deficiencies, worsened by poor living conditions, lack of sanitation, a restricted access to health facilities and running water, overcrowding, and overpopulation. These factors favor human displacement and deepen marginalization; consequently, their population endures a high burden of infectious diseases. In this context, the current epidemiological landscape and its impact on health and economic development are not promissory, despite the commitment by the international community to eradicate neglected tropical infections - especially tuberculosis and malaria, by 2030. Neglected and (re)-emerging infectious diseases affecting the central nervous system (CNS) are a major public health concern in these countries, as they cause a great morbidity and mortality; furthermore, survivors often suffer from severe neurological disabilities. Herein, we present a retrospective review focused on some neglected and (re)-emerging infectious diseases, including neurocysticercosis, malaria, rabies, West Nile virus encephalitis, tuberculosis, neuroborreliosis, and SARS-CoV-2 in LMIC. A retrospective review of studies on selected neglected and (re)-emerging infectious diseases in LMIC was performed, including reports by the World Health Organization (WHO) published within the last five years. Data on infection by SARS-CoV-2 were provided by the John Hopkins University Coronavirus Resource Center. CNS neglected and (re)-emerging infectious diseases remain as important causes of disease in LMIC. An alarming increase in the prevalence of malaria, tuberculosis, and cysticercosis is observed in the region, compounded by the recent COVID-19 pandemic. The WHO is currently supporting programs/efforts to cope with these diseases. Herein, we highlight the epidemiological burden of some CNS infections in LMIC, and their clinical and neuroimaging features, to facilitate an accurate diagnosis, considering that most of these diseases will not be eradicated in the short term; instead, their incidence will likely increase along with poverty, inequality, and related socioeconomic problems.

Metabolomic diferences between COVID-19 and H1N1 influenza induced ARDS.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a type of respiratory failure characterized by lung inflammation and pulmonary edema. Coronavirus disease 2019 (COVID-19) is associated with ARDS in the more severe cases. This study aimed to compare the specificity of the metabolic alterations induced by COVID-19 or Influenza A pneumonia (IAP) in ARDS. METHODS: Eighteen patients with ARDS due to COVID-19 and twenty patients with ARDS due to IAP, admitted to the intensive care unit. ARDS was defined as in the American-European Consensus Conference. As compared with patients with COVID-19, patients with IAP were younger and received more often noradrenaline to maintain a mean arterial pressure > 65 mm Hg. Serum samples were analyzed by Nuclear Magnetic Resonance Spectroscopy. Multivariate Statistical Analyses were used to identify metabolic differences between groups. Metabolic pathway analysis was performed to identify the most relevant pathways involved in ARDS development. RESULTS: ARDS due to COVID-19 or to IAP induces a different regulation of amino acids metabolism, lipid metabolism, glycolysis, and anaplerotic metabolism. COVID-19 causes a significant energy supply deficit that induces supplementary energy-generating pathways. In contrast, IAP patients suffer more marked inflammatory and oxidative stress responses. The classificatory model discriminated against the cause of pneumonia with a success rate of 100%. CONCLUSIONS: Our findings support the concept that ARDS is associated with a characteristic metabolomic profile that may discriminate patients with ARDS of different etiologies, being a potential biomarker for the diagnosis, prognosis, and management of this condition.

Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining.

The COVID-19 pandemic has wreaked havoc in every country in the world, with serious health-related, economic, and social consequences. Since its outbreak in March 2020, many researchers from different fields have joined forces to provide a wide range of solutions, and the support for this work from artificial intelligence (AI) and other emerging concepts linked to intelligent data analysis has been decisive. The enormous amount of research and the high number of publications during this period makes it difficult to obtain an overall view of the different applications of AI to the management of COVID-19 and an understanding of how research in this field has been evolving. Therefore, in this paper, we carry out a scientometric analysis of this area supported by text mining, including a review of 18,955 publications related to AI and COVID-19 from the Scopus database from March 2020 to June 2021 inclusive. For this purpose, we used VOSviewer software, which was developed by researchers at Leiden University in the Netherlands. This allowed us to examine the exponential growth in research on this issue and its distribution by country, and to highlight the clear hegemony of the United States (USA) and China in this respect. We used an automatic process to extract topics of research interest and observed that the most important current lines of research focused on patient-based solutions. We also identified the most relevant journals in terms of the COVID-19 pandemic, demonstrated the growing value of open-access publication, and highlighted the most influential authors by means of an analysis of citations and co-citations. This study provides an overview of the current status of research on the application of AI to the pandemic.