Comparison of Social Media Content on Hidradenitis Suppurativa: A Cross-Sectional Study.

BACKGROUND: Research has shown that patients may turn to social media seeking information regarding diagnosis and treatment. This study aimed to analyze and compare content related to hidradenitis suppurativa (HS) using the "hashtag" tool across three of the most popular social media platforms to determine the information that patients are exposed to online. METHODS: We identified hashtags across Instagram, TikTok, and Facebook for "#hidradenitissuppurativa." The top 50 videos returned by the algorithm across each site were selected for analysis. Data extracted for comparison included content creator demographics, number of followers, type of content (educational vs. noneducational), and associated hashtags. RESULTS: Sixty-seven percent of posts were created by females (n = 101/150), 10% by males (n = 16/150), and 22% other (n = 33/150). Distribution was similar across all platforms. User accounts on TikTok have a significantly higher number of followers (median = 38,700, range = 902-17,600,000 followers) compared to Facebook (median = 1,375, range = 58-777,000 followers) and Instagram (median = 2,818, range = 57-9,800 followers). CONCLUSION: This study suggests that there is a disproportionate number of patients creating content to raise awareness on HS on social media compared to patient support groups or medical professionals. We propose that social media is a useful platform that dermatologists and official institutional bodies can utilize as an alternative method of health promotion and patient education. Further research to explore social media trends across a range of dermatological conditions can help guide targeted education campaigns in the future.

Topical steroid withdrawal through the lens of social media.

The term 'topical steroid withdrawal' (TSW) describes an adverse effect that generally occurs with inappropriate prolonged use of high-potency topical corticosteroids (TCS). The presence of user-generated content relating to TSW on social media (SoMe) has not been well-defined to date. We aimed to explore content relating to topical steroid withdrawal on SoMe. Using a data analytics platform, we retrospectively analysed the hashtag #topicalsteroidwithdrawal on SoMe over a 5-year period from 8 February 2016 until 8 February 2021. We assessed interactions, performance, shares, likes, mentions, language and country of origin using descriptive statistics. Across all SoMe platforms, there was a 274% increase in mentions of the hashtag #topicalsteroidwithdrawal in the year 2020 (n = 7992) compared with the year 2016 (n = 2138). The top associated hashtags included #TSW, #eczema and #topicalsteroidaddiction. On Instagram, we found a 288% increase in number of mentions and a 592% increase in performance of #topicalsteroidwithdrawal in 2020 (n = 618 354) compared with 2016 (n = 89 390). Our results confirm an increase in the presence of user-generated content relating to TSW on SoMe and also highlight its extent. Large numbers of patients are exposed to this content, which could influence their engagement with TCS.

A flexural exanthem following postexposure prophylaxis.

We report a case of symmetrical drug-related intertriginous and flexural exanthema following antiretroviral postexposure prophylactic medications, tenofovir and emtricitabine, commencement of which preceded the onset of the rash. Tenofovir and emtricitabine are both nucleoside reverse transcriptase inhibitor medications, commonly used to prevent development of AIDS.

Identifying factors related to school closures due to COVID-19 in the Middle East and North Africa region.

The COVID-19 pandemic has had devastating effects on the Middle East and North Africa (MENA) region, and MENA states have taken dramatic steps in response. This study focuses on school closures, an intervention that all MENA states adopted, some much earlier than others. It seeks to identify policy factors related to MENA governments' decisions to close schools during the first wave of the pandemic. Results suggest external issues regarding temporal and geographic diffusion played the largest role. They also indicate that factors related to disease risk, the economy, political institutions, and women's position in society mattered as well, all of which suggest the decisions were complex.

Following the Science? Examining the Issuance of Stay-At-Home Orders Related to COVID-19 by U.S. Governors.

Informed by the public health policymaking literature, this study's objective is to identify scientific, political, social, economic, and external factors related to U.S. governors' decisions to issue stay-at-home orders (SAHOs) in response to the first wave of the COVID-19 pandemic. Public health experts advocate for social distancing to slow the spread of infectious diseases, but government mandates to social distance can impose substantial social and economic costs. This study uses event history analysis to investigate the issuance of COVID-19-related gubernatorial SAHOs during a 41-day period in the 50 U.S. states. The findings indicate that scientific, political, and economic factors were associated with the issuance of SAHOs, but that external considerations played the largest role, particularly those related to the timing of other governors' decisions. This study offers evidence about how some U.S. political leaders balance public health concerns against other considerations and, more broadly, how state governments address crisis-level issues.

Predicting the issuance of COVID-19 stay-at-home orders in Africa: Using machine learning to develop insight for health policy research.

During the COVID-19 pandemic, many countries have issued stay-at-home orders (SAHOs) to reduce viral transmission. Because of their social and economic consequences, SAHOs are a politically risky decision for governments. Researchers typically attribute public health policymaking to five theoretically significant factors: political, scientific, social, economic, and external. However, a narrow focus on extant theory runs the risk of biasing findings and missing novel insights. This research employs machine learning to shift the focus from theory to data to generate hypotheses and insights "born from the data" and unconstrained by current knowledge. Beneficially, this approach can also confirm the extant theory. We apply machine learning in the form of a random forest classifier to a novel and multiple-domain data set of 88 variables to identify the most significant predictors of the issuance of a COVID-19-related SAHO in African countries (n = 54). Our data set includes a wide range of variables from sources such as the World Health Organization that cover the five principal theoretical factors and previously ignored domains. Generated using 1000 simulations, our model identifies a combination of theoretically significant and novel variables as the most important to the issuance of a SAHO and has a predictive accuracy using 10 variables of 78%, which represents a 56% increase in accuracy compared to simply predicting the modal outcome.

Prioritizing public health? Factors affecting the issuance of stay-at-home orders in response to COVID-19 in Africa.

COVID-19 has sickened and killed millions of people globally. Conventional non-pharmaceutical interventions, particularly stay-at-home orders (SAHOs), though effective for limiting the spread of disease have significantly disrupted social and economic systems. The effects also have been dramatic in Africa, where many states are already vulnerable due to their developmental status. This study is designed to test hypotheses derived from the public health policymaking literature regarding the roles played by medical and political factors as well as social, economic, and external factors in African countries' issuance of SAHOs in response to the early stages of the COVID-19 pandemic. Using event history analysis, this study analyzed these five common factors related to public health policy to determine their impact on African states' varying decisions regarding the issuance of SAHOs. The results of this analysis suggest that medical factors significantly influenced decisions as did factors external to the states, while the role of political factors was limited. Social and economic factors played no discernible role. Overall, this study suggests how African leaders prioritized competing factors in the early stages of a public health crisis.

Jagged/Notch signalling is required for a subset of TGFß1 responses in human kidney epithelial cells.

The Jagged/Notch pathway has been implicated in TGFß1 responses in epithelial cells in diabetic nephropathy and other fibrotic conditions in vivo. Here, we identify that Jagged/Notch signalling is required for a subset of TGFß1-stimulated gene responses in human kidney epithelial cells in vitro. TGFß1 treatment of HK-2 and RPTEC cells for 24h increased Jagged1 (a Notch ligand) and Hes1 (a Notch target) mRNA. This response was inhibited by co-incubation with Compound E, an inhibitor of γ-secretase (GSI), an enzyme required for Notch receptor cleavage and transcription regulation. In both cell types, TGFß1-responsive genes associated with epithelial-mesenchymal transition such as E-cadherin and vimentin were also affected by γ-secretase inhibition, but other TGFß1 targets such as connective tissue growth factor (CTGF) and thrombospondin-1 (THBS1) were not. TGFß1-induced changes in Jagged1 expression preceded EMT-associated gene changes, and co-incubation with GSI altered TGFß1-induced changes in cell shape and cytoskeleton. Transfection of cells with the activated, cleaved form of Notch (NICD) triggered decreased expression of E-cadherin in the absence of TGFß1, but did not affect α-smooth muscle actin expression, suggesting differential requirements for Notch signalling within the TGFß1-responsive gene subset. Increased Jagged1 expression upon TGFß1 exposure required Smad3 signalling, and was also regulated by PI3K and ERK. These data suggest that Jagged/Notch signalling is required for a subset of TGFß1-responsive genes, and that complex signalling pathways are involved in the crosstalk between TGFß1 and Notch cascades in kidney epithelia.

Identifying factors associated with the issuance of coronavirus-related stay-at-home orders in the Middle East and North Africa Region.

The COVID-19 pandemic has not spared the Middle East and North Africa (MENA) Region. MENA is one of the most politically, socially, and economically heterogeneous regions in the world, a characteristic reflected in its governments' responses to COVID-19. About two-thirds of these governments issued coronavirus-related stay-at-home orders (SAHOs), one of the most effective tools public health officials have for slowing the spread of infectious diseases. While SAHOs are very effective in terms of countering infectious diseases, they are extremely disruptive in nonhealth domains. The objective of this study is to identify reliable factors related to health care policy making that shaped the decisions of MENA governments to issue a SAHO or not in response to COVID-19. The results identify specific political, social, and medical factors that played important roles and provide a look at early government responses to a global health crisis in a heterogeneous region of the world.