Name: Priscila Carminati Siqueira
Type: MSc dissertation
Publication date: 17/06/2019
Advisor:

Namesort descending Role
Thiago Nascimento do Prado Advisor *

Examining board:

Namesort descending Role
Thiago Nascimento do Prado Advisor *

Summary: Introduction: Yellow fever (YF) is an infectious, feverish and acute disease,
immunoprevalent, transmitted through the bite of mosquitoes mainly belung to the
Haemagogus and Aedes genera, found in America and Africa, respectively. It is

considered an endemic disease in Brazil (Amazon region) and in Africa. In the extra-
Amazonian region, epidemic periods are occasionally recorded, characterizing the

reemergence of the virus in the country. During the period 2106/2017, it occurred the
largest epidemic of wild Yellow Fever (YF) in the last 80 years in Brazil, reaching
mainly the states of the Southeast Region WHERE the largest population concentration
occurs, and is the most economically developed region of the country and presents a
considerable rate of Aedes aegypti infestation. Objective: To evaluate the spatial
distribution of the completeness of the Yellow Fever (YF) notification cards in the
year of 2017 in the State of Espírito Santo and to analyze the diffusion of YF cases in
time and space, in the 2017 epidemic in the State of Espírito Santo. Methods: This is
an ecological study, with spatial analysis through the Arcgis 10.3 software, of the
cases of YF reported in the SINAN (Notification Disease Information System), in the
period of 2017 in Espírito Santo (ES) State. Geostatistical analysis were used in the
analysis, in addition to descriptive data, through tables, graphs and maps.Results: A
total of 78 municipalities were analyzed, of which 49 reported YF on SINAN. The
study indicates that 53% of municipalities presented a bad / regular classification for
many variables in the notification form (final classification of cases (57,14),
confirmation criteria (63,26%) and closure date (26,53%)), being considered fields of
mandatory fulfillment of the research records. The geoprocessing showed that the
yellowish disease arrived at the State of the ES by the neighboring municipalities to
the state of Minas Gerais, following in the east of the state, reaching the coast. It
showed a greater concentration of cases and time of permanence in the Central and
Metropolitan regions, which present regions of Atlantic Forest. Through the
geostatistical analysis by ordinary Kriging, it demonstrated a pattern of continuity of
the diffusion by contagion. Conclusion: Our results highlight the need to improve the
quality of information generated by the Health Information Systems, as well as the
georeferencing demonstrated a continuity pattern by diffusion of contagion of YF
cases inthe municipalities of the ES, with an increase in epidemiological weeks it

occurs an increase on the distance of the cases in relation to the municipality of
origin.

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