Objective: The COVID-19 pandemic highlighted and exacerbated health inequities worldwide. While several studies have examined the impact of individual social factors on COVID infection, our objective was to examine how interactions of social factors were associated with the risk of testing positive for SARS-CoV-2 during the first two years of the pandemic.
Study design and setting: We conducted an observational cohort study using linked health administrative data for Ontarians tested for SARS-CoV-2 between January 1st, 2020, and December 31st, 2021. We constructed multivariable models to examine the association between SARS-CoV-2 positivity and key variables including immigration status (immigrants vs. other Ontarians), and neighbourhood variables for household size, income, essential worker status, and visible minority status. We report main and interaction effects using odds ratios and predicted probabilities, with age and sex controlled in all models.
Results: Of 6,575,523 Ontarians in the cohort, 88.5 % tested negative, and 11.5 % tested positive for SARS-CoV-2. In all models, immigrants and those living in neighbourhoods with large average household sizes had greater odds of testing positive for SARS-CoV-2. The strength of these associations increased with increasing levels of neighbourhood marginalization for income, essential worker proportion and visible minority proportion. We observed little change in the probability of testing positive across neighbourhood income quintiles among other Ontarians who live in neighbourhoods with smaller households, but a large change in probability among other Ontarians who live in neighbourhoods with larger households.
Conclusion: Our study found that SARS-CoV-2 positivity was greater among people with certain combinations of social factors, but in all cases the probability of testing positive was consistently greater for immigrants than for other Ontarians. Examining interactions of social factors can provide a more nuanced and more comprehensive understanding of health inequity than examining factors separately.
Genomic sequencing has been an invaluable tool to determine the evolution of SARS-CoV-2. In the present study, we provided a comprehensive description of the SARS-CoV-2 variants circulated in the Philippines.
The dataset from the human COVID-19 infections was acquired by downloading the sequences and their associated metadata spanning from March 2020 to April 2024. Then, we executed several filtering criteria to acquire the final dataset for the Philippine samples and performed spatial distribution analysis and phylogenetic tree construction of the reported SARS-CoV-2 sequences.
A total of 16,679,203 SARS-CoV sequences were obtained, of which 17,393 (0.10 %) were sampled in the Philippines. Western Visayas reported the highest SARS-CoV-2 sequences (21.33 %), while the Bangsamoro Autonomous Region in Muslim Mindanao reported the least (0.48 %). The phylogenetic tree revealed the evolution of the detected SARS-CoV-2 variants circulating in the Philippines with 19 A as the first reported case (based on the GISAID submission), and 24 A (JN.1) as the currently circulating variant. Omicron variants have dominated the Philippines with 21 L (Omicron, BA.2) having 5102 cases (29.33 %), followed by 22B (BA.5) having 2184 cases (12.57 %). Using Pearson's Chi-square test of independence, we showed that there is a significant association between the age-groups and gender with the detection years.
Altogether, this analysis showed the updated epidemiological trends of the reported SARS-CoV-2 variants in the Philippines. This increases the importance of conducting surveillance on viral infectious diseases such as COVID-19 to provide the scope and trajectory of viral spread in a country.
The COVID-19 pandemic had devastating effects on health systems globally. Emerging infectious diseases and pandemics will persist as a global health threat and preparedness for an evidence based response becomes challenging for decision makers. Epidemiological modeling can and has supported decision-making throughout pandemics. This study provides an update of the review “Publicly available software tools for decision-makers during an emergent epidemic—Systematic evaluation of utility and usability”1.
What epidemiological modeling tools for decision-makers are open-sourced available for the usage in emerging epidemics or pandemics and how useful and user-friendly are these tools?
A scoping review was conducted. We identified relevant studies through a search of peer-reviewed (Medline Ovid, Embase Ovid, PubMed, Cochrane) and gray literature databases, search engines such as Google, searches through stakeholder websites as well as expert consultations.
Of the 66 identified epidemiological modeling tools, 29 were included and qualitatively assessed using five-point-rating scales. The tools showed a good baseline of user-friendliness with variations in assessed components, features and utility. Room for improvement was found, specifically the capability to incorporate external data sources, detailed population descriptions, and geographic resolution.
Development efforts should prioritize clear communication of uncertainties and expert review processes. Trainings for specific tools should be considered.
Tool usage can enhance decision-making when adapted to the user's needs and purpose. They should be consulted critically rather than followed blindly.
New graduate nurses are an untapped population for nursing professional governance and nursing research and evidenced-based practice councils. New graduate nurses can offer new insights into the management of patient care and nursing workflow. By educating new graduate nurses about the benefits of nursing research and evidence-based practice councils at the start of their careers, an early standard of excellence in the empowerment of applying evidenced-based practice principles to improve patient care quality can occur. This narrative literature inquiry explores new graduate nurses perspective of research and evidence-based practice councils, with the targeted goal of engagement for professional and personal growth as a nurse leader.