In many communities across the United States, substantive local news is a rare commodity. For areas long stigmatized and associated with high levels of violence, crime, and poverty, negative reporting may be the only local news available. Drawing from communication infrastructure theory and literature on local news audiences and civic journalism, this study explores how a local solutions journalism project is received by members of an underrepresented and stigmatized community. Solutions journalism stories focus on responses to social problems, usually exploring problem-solving efforts that have the potential to be scaled. This case examines how participants in six focus groups with 48 African-American and Latino South Los Angeles residents responded to solutions-oriented stories produced by a local media project. Study findings illustrate how residents navigate and critically interpret local media coverage, and how their response to ‘solutions journalism’ is largely positive but tempered by concerns regarding structural inequalities.

Purpose: The aim of this study was to evaluate the demographic characteristics, clinical and pathological factors, and the outcome of cancer and COVID-19 patients in Mexico. Patients and methods: A prospective, multicentric study was performed through a digital platform to have a national registry of patients with cancer and positive SARS-CoV-2 test results through reverse transcription quantitative polymerase chain reaction (RT-qPCR). We performed the analysis through a multivariate logistic regression model and Cox proportional hazard model. Results: From May to December 2020, 599 patients were registered with an average age of 56 years with 59.3% female; 27.2% had hypertension. The most frequent diagnoses were breast cancer (30.4%), lymphoma (14.7%), and colorectal cancer (14.0%); 72.1% of patients had active cancer and 23.5% of patients (141/599) were deceased, the majority of which were men (51.7%). This study found that the prognostic factors that reduced the odds of death were gender (OR = 0.42, p = 0.031) and oxygen saturation (OR = 0.90, p = 0.0001); meanwhile, poor ECOG (OR = 5.4, p = 0.0001), active disease (OR = 3.9, p = 0.041), dyspnea (OR = 2.5, p = 0.027), and nausea (OR = 4.0, p = 0.028) increased the odds of death. In the meantime, the factors that reduce survival time were age (HR = 1.36, p = 0.035), COPD (HR = 8.30, p = 0.004), having palliative treatment (HR = 10.70, p = 0.002), and active cancer without treatment (HR = 8.68, p = 0.008). Conclusion: Mortality in cancer patients with COVID-19 is determined by prognostic factors whose identification is necessary. In our cancer population, we have observed that being female, younger, non-COPD, with non-active cancer, good performance status, and high oxygen levels reduce the probability of death.

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