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TOWARDS MALARIA ELIMINATION: A REFECTION ABOUT DIGITAL NOTIFCATION MODULES TO IMPROVE MALARIA CASES NOTIFCATION SPEED AND FOLLOW-UP IN THE BRAZILIAN AMAZON REGION
Disease notifcation
Epidemiology
Health information systems
Malaria
Mobile applications
Affilliation
University of Brasília. Center for Tropical Medicine. Brasília, DF, Brazil / University of Brasília. Faculty of Health Sciences. Brasília, DF, Brazil.
Pan American Health Organization. Brasilia, DF, Brazil.
Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em Doenças Febris Agudas. Rio de Janeiro, RJ, Brasil.
Pan American Health Organization. Brasilia, DF, Brazil.
Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em Doenças Febris Agudas. Rio de Janeiro, RJ, Brasil.
Abstract
Background: Health information systems (HIS) are a pivotal element in epidemiological surveillance. In Brazil, malaria persists as a public health challenge, with 99% of its occurrences concentrated in the Amazon region, where cases are reported through the HIS Sivep-Malaria. Recent technological advancements indicate that case notifications can be expedited through more efficient systems with broader coverage. The objective of this study is to analyse opportunities for notification within Sivep-Malaria and explore the implementation of mobile electronic devices and applications to enhance the performance of malaria case notifications and use. Methods: This descriptive study analyses data on malaria-positive cases in the Brazilian Amazon from 2004 to 2022. Malaria Epidemiological Surveillance System (Sivep-Malaria) data were used. The Brazilian Amazon region area is approximately 5 million km2 across nine different states in Brazil. Data entry opportunities were assessed by considering the time difference between the 'date of data entry' and the 'date of notification.' Descriptive statistics, including analyses of means and medians, were conducted across the entire Amazon region, and for indigenous population villages and gold mining areas. Results: Between 2004 and 2022, 6,176,878 new malaria cases were recorded in Brazil. The average data entry opportunity throughout the period was 17.9 days, with a median of 8 days. The most frequently occurring value was 1 day, and 99% of all notifications were entered within 138 days, with 75.0% entered within 20 days after notification. The states with the poorest data entry opportunities were Roraima and Tocantins, with averages of 31.3 and 31.0 days, respectively. For indigenous population villages and gold mining areas, the median data entry opportunities were 23 and 15 days, respectively. Conclusions: In malaria elimination, where surveillance is a primary strategy for evaluating each reported case, reducing notification time, enhancing data quality and being able to follow-up cases through computerized reports offer significant benefits for cases investigation. Technological improvements in Sivep-Malaria could yield substantial benefits for malaria control in Brazil, aiding the country in achieving disease elimination and fulfilling the Sustainable Development Goals.
Keywords
BrazilDisease notifcation
Epidemiology
Health information systems
Malaria
Mobile applications
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