Resumo:
Introduction: in the COVID-19 Pandemic Brazil needed to produce information quickly. The
high demands on health services exposed Health Personnel (HP) in particular. To investigate
this occupational group, the availability of quality, accessible and reliable data is necessary to
produce indicators and information on worker health. Objectives: The objective of this study
was to estimate the incidence of COVID-19 cases in HP and discuss the availability and quality
of data from different health information systems and other data sources. Method: This is a
study of the incidence of COVID-19 in HP in Bahia, with data available in DATASUS and
other sources from 2020 to 2022. Results: Only 2.8% (2,252) of 81,497 accumulated cases of
the syndrome Severe Acute Respiratory due to COVID-19 had the occupation field filled in,
and for Flu Syndrome cases, 5.3% (80,994) of the 1,521,313 had this field filled in. Of these
cases, 59,185 (73.1%) corresponded to HP, 61.1% (36,650) were female, with the predominant
age group of 20-39 years making up 54.8% of cases (27,653); 71.4% (36,078) variety among
TS of black or brown race/color. The results with denominators from the National
Immunization Program Information System have the highest incidence among nurses,
325.5/1000, followed by nursing assistants/technicians, with 269.9/1000 and receptionists with
78.5/1000. Nurse was the occupation with the highest relative risk at 15.5. Discussion: Health
workers are those with the highest incidence of COVID-19, but little is known about
occupations not directly linked to care. The absence of this data compromises the quality of the
information produced and consequently the construction of indicators. Conclusion:
Information on workers' health through secondary data presents challenges to be overcome, one
of which is the establishment of appropriate denominators, which depends on the recording of
the variable occupation in the Health Information Systems.
