Driver Project 9 - Evaluating Effects of Social Inequalities on the COVID-19 Pandemic in a Low- and Middle Income Country (LMIC)
To combat the effects of social and economic inequality in Brazil on the impact of COVID-19 by creating a social disparities index and visualization dashboard to help identify vulnerable populations and focus prevention efforts.
Maria Yury Ichihara and colleagues at the Centre for Data and Knowledge Integration for Health (Cidacs) at Fiocruz in Brazil created a social disparities index to measure inequalities relevant to the COVID-19 pandemic, such as unequal access to healthcare, to identify regions that are more vulnerable to infection and to better focus prevention efforts. In Brazil, markers of inequality are associated with COVID-19 morbidity and mortality. They developed the index with available COVID-19 surveillance data, hosted on the Cidacs platform, and built a public data visualisation dashboard to share the index and patterns of COVID-19 incidence and mortality with the broader community. This enabled health managers and policymakers to monitor the pandemic situation in the most vulnerable populations and target social and health interventions.
|COVID-19 Community Mobility Reports, Brazil
|This dataset measures the mobility trend in different dimensions (location categories) for Brazil, Federation Units and Municipalities. It is based on Google’s Mobility Report.
|COVID-19 ESUS Confirmed cases and death episodes, Brazil
|This dataset comprises data on new and accumulated confirmed cases and death episodes for each Brazilian municipality, by epidemiological week.
|COVID-19 SRAG Cases and Death Episodes, Brazil
|This dataset comprises new and accumulated cases and death episodes for each Brazilian municipality, by epidemiological week.
With the detailed presentation of data from the IDS-COVID-19 Dashboard, public policy makers of health will have a more comprehensive view of where are the areas of greatest inequality in relation to Covid-19.
|Documentary – Beyond the distancing: Dialogues to understand social disparities on Covid-19 pandemic
The documentary reports the innovative experience of science production during the Covid-19 pandemic, which had the participation of different social segments. Testimonials from researchers at the Center for Integration of Data and Knowledge for Health (Cidacs/Fiocruz Bahia) and representatives of communities and public management contextualize the challenges faced during the pandemic.
The project “Assessing the effects of social inequalities during the Covid-19 pandemic”, aims to evaluate the relationship between an Index of Social Inequalities for Covid-19, the occurrence of cases and deaths in groups of municipalities. More information can be found on the project website.
We are used at research and social database to be the best social disparities index for COVID-19 ideas. Three indicators compose our index, the first one source of demographics and the second one source economics and the third access to health care systems, To find data on Brazil, South America directories we are using 2010 census of Brazil, conducted by IDG. It contains census tract and municipal level data on household events. The proportion of black population, the proportion of people aged 16 and over, the proposed overview for our population in the proportion of cooperation. Socio economic people mentioned sounds important for IDs for IDs COVID-19 We use the Brazilian different nations index, a unique key measure of material deprivation index monasteries in Brazil beautifies the vaccine. It is based on data about income, literacy and health condition collected from 2010 census. is available in Gentiles and assessor structure levels to inform data about cases and death in some COVID-19. We use it a National Information Service system on COVID-19 and the other acute respiratory syndrome, which is called CPAP grip and this was not fixed.
This data sets are open access and they contain information source demographic of morbidities, clinical characteristics and sensation by competency to build indicators on availability of health professionals primary care services and foster intensive care. We’ve used a National Cancer Centre of health establishment the different tracks we have been basing are linked to methodology. We are investing efforts to integrate data to find the most important variables into view during COVID-19 pain. Diabetes also has a big challenge it also provides traditional constant and dynamic tiny work in constant or multivariate exploration to find similar groups of municipalities and to identify the association of them. In addition, we also needed to create a dynamic gives them a specialisation of tools. To enable timely and if you’re satisfied with the spatial time comparison of the indicators in municipalities, states and regions. Another challenge related to intubated sensation refers to how accessible our dashboard may be easily accessed by our public expect. Expect that’s our approach in support policies of vulnerable populations. We believe that some targeted groups may need initiated by the best information about population generated by our ideas COVID-19 We allow evaluations to support decision makers on the neurological control measures to support social and economic progress to reduce the academic community and other researchers. We also use our researchers sides that journalists to explore our analysis to denounce the effects of social network software to public in general. In addition, collective initiatives entities may use our results to persuade policymakers to create or to improve the social policy population. We also expected that civil society might explore ideas COVID-19 to taking collective decisions about their daily lives. We think about initial results of MDS COVID-19 and its relationship with the neurological patterns of COVID-19 will be available on February 2002. When you are planning a webinar to show the first results and to continue on dialogue.
We think that’s one of our priority is to explore logical data to produce knowledge on health to guide interventions, especially to reduce health inequities, and the prevention of interdependence and also to develop data interoperability. To be to data share among researchers.
Think that due to not be possible to answer our research questions without patient data sharing as we use public data to provide our Nan’s explore data sets that contain the reported number of COVID-19 cases in that municipalities in that further attribute.
I’d like to add that our team is very happy with all the all the innovations involved in our approach. We are planning to work with the ICODA workbench which is a platform that allows an integrated in safety flow of information that the shaft. Workbench is also important because it is connected to open time. researchers are exploring novel methods to do with differential rates of using unsupervised machine human additional cost effective and dynamic time warping cluster exploration to find similar groups of municipalities entity identifying the association of them. Besides that, we are engaged in health secretaries from spaces and inspiring as well as local collection initiatives transforms in the black movement in our project. They are participate in our webinars technical meeting and the focus for supporting us with some insights about the ideas to COVID-19 in our dashboard. So I’m happy to say that he has been an incredible journey. We are learning a lot as a human beings and researchers that for we hope that so we can share all the results of our projects and somehow contribute to reduce the impact of social inequalities in the process. Thank you for your attention.