ArticleTropical medicine and infectious disease2023
Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil.
Article in Tropical medicine and infectious disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Towards Malaria Elimination: A Nationwide Case-Control Study to Assess Risk Factors for Severe Malaria-Related Deaths in Brazil.Tropical medicine & international health : TM & IH · 2025Article
- Factors associated with hospitalizations due to severe malaria in the non-endemic Brazilian region: a case-control study in the extra-Amazon Region from 2011 to 2019.Malaria journal · 2025Article
- Towards malaria elimination: a case-control study to assess associated factors to malaria relapses in the extra-Amazon Region of Brazil from 2008 to 2019.Malaria journal · 2024Article
- Towards malaria elimination: a reflection about digital notification modules to improve malaria cases notification speed and follow-up in the Brazilian Amazon region.Malaria journal · 2024Article
- Structural monitoring data repair based on a long short-term memory neural network.Scientific reports · 2024Article
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7 authors.
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Abstract
objectiveThe objective is to describe the results and the methodological processes of record linkage for matching deaths and malaria cases.
methodsA descriptive cross-sectional study was conducted with probabilistic record linkage of death and malaria cases data in Brazil from 2011 to 2020 using death records from the Mortality Information System (SIM) and epidemiological data from the Notifiable Diseases Information System (Sinan) and Epidemiological Surveillance Information Systems for malaria (Sivep-Malaria). Three matching keys were used: patient's name, date of birth, and mother's name, with an analysis of cosine and Levenshtein dissimilarity measures.
resultsA total of 490 malaria deaths were recorded in Brazil between 2011 and 2020. The record linkage resulted in the pairing of 216 deaths (44.0%). Pairings where all three matching keys were identical accounted for 30.1% of the total matched deaths, 39.4% of the matched deaths had two identical variables, and 30.5% had only one of the three key variables identical. The distribution of the variables of the matched deaths (216) was similar to the distribution of all recorded deaths (490). Out of the 216 matched deaths, 80 (37.0%) had poorly specified causes of death in the SIM.
conclusionsThe record linkage allowed for the detailing of the data with additional information from other epidemiological systems. Record linkage enables data linkage between information systems that lack interoperability and is an extremely useful tool for refining health situation analyses and improving malaria death surveillance in Brazil.
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