The Incidence of Sickle Cell Disease in Bahia Between 2010 and 2022: From Qualified Data to Reducing Invisibility
1
Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
2
Municipal Health Secretariat, Salvador, Brazil
3
Florida University of Science and Theology, Pompano Beach, United States
4
Florida Christian University, Orlando, United States
5
State Health Secretariat of Bahia, Salvador, Brazil
6
Association of Parents and Friends of Exceptional Children (APAE), Salvador, Brazil
7
State University of Bahia (UNEB), Salvador, Brazil
8
Rilza Valentim State Reference Center for People with Sickle Cell Disease, Salvador, Brazil
9
Hemoba Foundation of Bahia, Salvador, Brazil
Popul. Med. 2026;8(Supplement Supplement 1):A3847
ABSTRACT
BACKGROUND:
Sickle Cell Disease (SCD) unequally affects different ethnic groups, with a higher incidence in the Black population. Improving public health care for this population is directly linked to data quality and availability. This study explores the socioeconomic and demographic profile of SCD incidence in Bahia, analyzing its geographic and temporal variation.
METHODS:
A cross-sectional ecological, spatial, and time-series study was conducted using six National Health Information Systems databases (including mortality, live births, hospitalizations, and neonatal screening systems). These were integrated into a unique database via Record Linkage from 2010 to 2022, using deduplication techniques to ensure record uniqueness. The analysis included time series to investigate trends and spatial analysis to identify geographic regions with statistically significant incidence.
RESULTS:
During the study period, the incidence of SCD in live births in Bahia was found to be one per 540 (1:540). Individuals with SCD were predominantly Black and female. Geospatially, among 376 municipalities with SCD births, Salvador stood out with the highest absolute number of residents, while the municipality of Mansidão (in the Western macro-region) had the highest incidence rate per 100,000 inhabitants.
CONCLUSIONS:
The findings evidence that the interoperability of Health Information Systems (HIS) and the qualification of data produced within them are fundamental to determining precise incidence, reducing SCD invisibility, and confronting institutional racism.
Sickle Cell Disease (SCD) unequally affects different ethnic groups, with a higher incidence in the Black population. Improving public health care for this population is directly linked to data quality and availability. This study explores the socioeconomic and demographic profile of SCD incidence in Bahia, analyzing its geographic and temporal variation.
METHODS:
A cross-sectional ecological, spatial, and time-series study was conducted using six National Health Information Systems databases (including mortality, live births, hospitalizations, and neonatal screening systems). These were integrated into a unique database via Record Linkage from 2010 to 2022, using deduplication techniques to ensure record uniqueness. The analysis included time series to investigate trends and spatial analysis to identify geographic regions with statistically significant incidence.
RESULTS:
During the study period, the incidence of SCD in live births in Bahia was found to be one per 540 (1:540). Individuals with SCD were predominantly Black and female. Geospatially, among 376 municipalities with SCD births, Salvador stood out with the highest absolute number of residents, while the municipality of Mansidão (in the Western macro-region) had the highest incidence rate per 100,000 inhabitants.
CONCLUSIONS:
The findings evidence that the interoperability of Health Information Systems (HIS) and the qualification of data produced within them are fundamental to determining precise incidence, reducing SCD invisibility, and confronting institutional racism.
| eISSN: | 2654-1459 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
