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A Big Data Architecture to a Multiple Purpose in Healthcare Surveillance: The Brazilian Syphilis Case

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Abstract

For many decades society did need to monitor and assess the stan-dard of living of the population. In the 1950s, the United Nations(UN) saw this need and proposed 12 areas that should be evalu-ated, the first of which is listed under “Health and Demography”,which focuses on what is expressed as the level of a population’shealth. Decades have passed and great results have been gainedfrom similar initiatives such as reducing mortality from infectiousdiseases and even eradicating some others. In the age of the digitalsociety, needs have grown. Monitoring demands that once perishedfrom data to become concrete now suffer from the opposite effect,the excess of data from everywhere. Healthcare systems aroundthe world use many different information systems, collecting andgenerating hundreds of data at unimaginable speed. We are billionsof people on the planet and most of us are connected to the vir-tual world, sharing information, experiences and events with somekind of cloud. In this information age, the ability to aggregate andprocess this data is a major factor in raising public health to a newlevel. The development of tools capable of analyzing a large volumeof data in seconds and producing knowledge for targeted decisionmaking can help in the fight against specific diseases, in the processof continuing education of professionals, in the formation of newprofessionals, in the elaboration of new policies. with the specificlocoregional look, in the analysis of hidden trends in front of so much information faced in everyday life and other possibilities.The present work proposes an architecture capable of storing andmanipulating seeking to standardize the variables in order to allowto correlate this large amount of data in a systematic way, providingto several services and researchers the possibility of consuminghealth, social, economic and educational data for the promotion of public health.
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Dates and versions

hal-02470392 , version 1 (07-02-2020)

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Rodrigo Dantas da Silva, Jean Jar Pereira de Araújo, Álvaro Ferreira, Pires de Paiva, Ricardo Alexsandro, et al.. A Big Data Architecture to a Multiple Purpose in Healthcare Surveillance: The Brazilian Syphilis Case. Euro American Conference on Telematics and Information Systems (EATIS 2020), Nov 2020, Aveiro, Portugal. ⟨10.1145/nnnnnnn.nnnnnnn⟩. ⟨hal-02470392⟩
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