[Community participation: COVID-19 learning for new crises. SESPAS Report 2022].
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ABSTRACT:
SUBMITTER: Cubillo-Llanes J
PROVIDER: S-EPMC9244787 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Prior studies have revealed that community identity promotes participation. However, it remains unclear whether heterogenous community identity profiles emerged and how they differed in coronavirus disease 2019 (COVID-19)-related community participation. Thus, the current study used a person-oriented approach to address these issues. A total of 1,083 Chinese residents participated in a national online survey in mid-March 2020. A latent profile analysis found that residents belonged in one of four community identity profiles: Strong identifiers (43.7%), function-dominant identifiers (25.0%), emotion-dominant identifiers (19.8%) and weak identifiers (11.5%). The strong identifiers profile showed the most positive COVID-19-related community management attitude and the highest participation intention and participation behaviour among the four profiles. Compared with strong identifiers, other profiles displayed less positive management attitude and lower participation intention and, in turn, exhibited less participation behaviour. The findings can help community organizers and administrators design intervention programs targeting specific subgroups amid the COVID-19 pandemic. Please refer to the Supplementary Materials section to find this article's Community and Social Impact Statement.
| S-EPMC8653172 | biostudies-literature
Project description:ObjectiveAs a heavily populated megacity, Shanghai faces major epidemic risks. However, Shanghai's control of COVID-19 has been successful owing to both the strict government policy and wide community participation. Here, we investigated the impact of these stakeholders and examined who played a major role across different epidemic stages.DesignWe extended the classic susceptible-exposed-infectious-recovered (SEIR) model considering the heterogeneous contact structure in four social sceneries, i.e., school, workplace, public entertainment venues, and neighborhood community, which could reflect the impact of lockdown policy and wide participation of residents happened at the community level.ResultThe simulation results showed that without lockdown policy and only with community participation, the daily new confirmed cases would gradually increase to more than 7,000 [292/1,000,000] at the end of Sep. However, without community participation and only with a lockdown policy, the daily new confirmed cases sharply decreased to 30 [1.2/1,000,000] at the end of the 1st month and remained low for several months. However, when a lockdown policy was gradually lifted, the new confirmed cases increased exponentially, eventually reaching more than 17,000 [708/1,000,000]. Therefore, a government lockdown policy was necessary for the rapid control of COVID-19 during the outbreak stage while community participation is more important in keeping the number of new confirmed cases low during the reopening stage.ConclusionGovernment lockdown policy and community participation play different roles in the control of COVID-19 at different stages of the epidemic: although the government played a leading role in setting up policies, the broader participation of community fever clinics (CFCs) and the general public were especially crucial in winning the battle against COVID-19 in the long run.
| S-EPMC9315311 | biostudies-literature
Project description:The COVID-19 pandemic created an unprecedented global healthcare emergency prompting the exploration of new therapeutic avenues, including drug repurposing. A large number of ongoing studies revealed pervasive issues in clinical research, such as the lack of accessible and organised data. Moreover, current shortcomings in clinical studies highlighted the need for a multi-faceted approach to tackle this health crisis. Thus, we set out to explore and develop new strategies for drug repositioning by employing computational pharmacology, data mining, systems biology, and computational chemistry to advance shared efforts in identifying key targets, affected networks, and potential pharmaceutical intervention options. Our study revealed that formulating pharmacological strategies should rely on both therapeutic targets and their networks. We showed how data mining can reveal regulatory patterns, capture novel targets, alert about side-effects, and help identify new therapeutic avenues. We also highlighted the importance of the miRNA regulatory layer and how this information could be used to monitor disease progression or devise treatment strategies. Importantly, our work bridged the interactome with the chemical compound space to better understand the complex landscape of COVID-19 drugs. Machine and deep learning allowed us to showcase limitations in current chemical libraries for COVID-19 suggesting that both in silico and experimental analyses should be combined to retrieve therapeutically valuable compounds. Based on the gathered data, we strongly advocate for taking this opportunity to establish robust practices for treating today's and future infectious diseases by preparing solid analytical frameworks.
| S-EPMC9464258 | biostudies-literature
Project description:During the COVID-19 crisis, local epidemiology units have been forced to manage an increasing number of cases, contacts and outbreaks for which they were not previously prepared or staffed. Under normal circumstances, the efficient study and control of outbreaks and public health alerts requires human and material resources, situation analysis to identify possible causes and present recommendations, coordination with other health system structures, as well as the providing a written report including control and prevention measures implemented and their results or other recommendations. The field study of outbreaks has been systematized in a way that has made it possible to implement quick and effective measures, for the interruption of transmission chains and management of risk situations. To achieve this, a rapid and extraordinary exercise of digital integration, staff mobilization and creation of ad hoc structures needed to be carried out. Solidarity and cooperation between professionals from different administrations has been the pillar that has sustained the surveillance systems. Despite this, obstacles have been found as a result of the lack of coordination, social inequalities, and later, pandemic fatigue, which have reduced adherence and effectiveness of the implemented measures. It has also come to light the need to properly staff these units with trained professionals, and match working conditions and salaries with other health services.
| S-EPMC9020564 | biostudies-literature
Project description:Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Most of the infected individuals have recovered without complications, but a few patients develop multiple organ involvements. Previous reports suggest an association between COVID-19 and various inflammatory myopathies, in addition to autoimmune diseases. COVID-19 has been known to exacerbate preexisting autoimmune diseases and trigger various autoantibodies and autoimmune disease occurrence. Here we report a case of complicated COVID-19 with anti-synthetase autoantibodies (ASSs) presenting with skin rash, muscle weakness, and interstitial lung disease (ILD) and subsequently diagnosed with dermatomyositis (DM). A 47-year-old Japanese male patient without any previous history of illness, including autoimmune diseases, presented with a high fever, sore throat, and cough. Oropharyngeal swab for SARS-Cov-2 polymerase chain reaction tested positive. He was isolated at home and did not require hospitalization. However, his respiratory symptoms continued, and he was treated with prednisolone (20 mg/day) for 14 days due to the newly developing interstitial shadows over the lower lobes of both lungs. These pulmonary manifestations remitted within a week. He presented with face edema and myalgia 4 weeks later when he was off corticosteroids. Subsequently, he presented with face erythema, V-neck skin rash, low-grade fever, and exertional dyspnea. High-resolution computed tomography of the chest showed ILD. Biochemical analysis revealed creatine kinase and aldolase elevations, in addition to transaminases. Anti-aminoacyl tRNA synthetase (ARS) was detected using an enzyme-linked immunosorbent assay (170.9 U/mL) (MESACUP™ (Medical & Biological Laboratories, Japan), and the tRNA component was identified as anti-PL-7 and anti-Ro-52 antibodies using an immunoblot assay [EUROLINE Myositis Antigens Profile 3 (IgG), Euroimmun, Lübeck,Germany]. The patient was diagnosed with DM, especially anti- synthase antibody syndrome based on the presence of myositis-specific antibodies, clinical features, and pathological findings. The present case suggests that COVID-19 may have contributed to the production of anti-synthetase antibodies (ASAs) and the development of de novo DM. Our case highlights the importance of the assessment of patients who present with inflammatory myopathy post-COVID-19 and appropriate diagnostic work-up, including ASAs, against the clinical features that mimic DM after post-COVID-19.
| S-EPMC9637802 | biostudies-literature
Project description:In early 2020, the novel coronavirus (COVID-19) spread to the United States and upended normal life. Using trip-level data on over 17 million taxi rides taken in Chicago from 2018-2021, I document how tipping behavior changed during the COVID-19 pandemic. I find that the average non-zero tip as a percent of the taxi fare increased 2 percentage points, or roughly 10%. Meanwhile, the likelihood that a passenger left a tip at all declined by roughly 5 percentage points, down from a pre-pandemic likelihood of 95%. My preferred specification suggests that the effect on the intensive margin dominates that in the extensive margin, leading to an aggregate increase in tipping generosity during the pandemic. I leverage granularity in the data to explore the mechanisms behind these trends and offer two explanations consistent with the data. First, passengers responded to the two economic shocks of the pandemic - unemployment and savings overhangs - by varying their tipping rates accordingly. Second, passengers internalized the increased risk of COVID-19 infection as an additional cost for taxi drivers and increased their tips as compensation. My analysis testifies to the sustainability of tipping in times of crises and offers theoretical insight into what drives tipping behavior.
| S-EPMC8767780 | biostudies-literature
Project description:The repercussions of the COVID-19 pandemic and climate change - two major current global crises - are far-reaching, the parallels between the two are striking, and their influence on one another are significant. Based on the wealth of evidence that has emerged from the scientific literature during the first two years of the pandemic, this study argues that these two global crises require holistic multisectoral mitigation strategies. Despite being different in nature, neither crisis can be effectively mitigated without considering their interdependencies. Herein, significant interactions between these two crises are highlighted and discussed. Major implications related to the economy, energy, technology, environment, food systems and agriculture sector, health systems, policy, management, and communities are detailed via a review of existing joint literature. Based on these outcomes, practical recommendations for future research and management are provided. While the joint timing of these crises has created a global conundrum, the COVID-19 pandemic has demonstrated opportunities and lessons for devising sustainable recovery plans in relation to the climate crisis. The findings indicated that governments should work collaboratively to develop durable and adjustable strategies in line with long-term, global decarbonisation targets, promote renewable energy resources, integrate climate change into environmental policies, prioritise climate-smart agriculture and local food systems, and ensure public and ecosystem health. Further, differences in geographic distributions of climate change and COVID-19 related death cases revealed that these crises pose different threats to different parts of the world. These learnings provide insights to address the climate emergency - and potential future global problems with similar characteristics - if international countries act urgently and collectively.
| S-EPMC9252874 | biostudies-literature
Project description: Not available
| S-BSST563 | biostudies-other
Project description:This SuperSeries is composed of the SubSeries listed below.
2021-07-24 | GSE180743 | GEO
Project description:Global shifts toward a disease-oriented, vertical approach to health has involved limiting the right for communities to participate in decision-making. Ecuador's authoritarian legacy has forced civil society and social organizations to adopt 'coping strategies', while large protests recently derived into violent struggles. The country has been severely hit by the COVID-19 pandemic amid corruption scandals involving hospital and food purchases by government during the response. This study critically examines how Ecuador's government took into consideration 'community participation' as a value and tenet of health promotion. Our systematic textual analysis focuses on 53 consecutive resolutions by the National Emergency Operations Committee (EOC) leading the decision-making processes, which, explicitly requires community participation. Results show that the 'lifecycle' of the central government's evolving policy framing centered on law enforcement and the private sector, followed by the social sector. Further, there is no evidence of stakeholders from civil society or organizations taking part in decision-making. Having legitimized the exclusion of community participation in Ecuador's response to the COVID-19 pandemic, it is possible that the government will fail to consider the wider social implications of its impact. In particular, the limits to local governments becoming informed and making decisions without mediation by the National EOC will further impede community participation in health decision-making in the future. This implies that local knowledge and experiences will also not inform health policy.
| S-EPMC7928936 | biostudies-literature