Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo
ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivar...
Ausführliche Beschreibung
Autor*in: |
Cristina Makarenko [verfasserIn] Alexandre San Pedro [verfasserIn] Natalia Santana Paiva [verfasserIn] Jefferson Pereira Caldas dos Santos [verfasserIn] Roberto de Andrade Medronho [verfasserIn] Gerusa Gibson [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch ; Spanisch ; Portugiesisch |
Erschienen: |
2022 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Revista de Saúde Pública - Universidade de São Paulo, 2004, 56(2022) |
---|---|
Übergeordnetes Werk: |
volume:56 ; year:2022 |
Links: |
Link aufrufen |
---|
DOI / URN: |
10.11606/s1518-8787.2022056003805 |
---|
Katalog-ID: |
DOAJ042065801 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ042065801 | ||
003 | DE-627 | ||
005 | 20230308054640.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.11606/s1518-8787.2022056003805 |2 doi | |
035 | |a (DE-627)DOAJ042065801 | ||
035 | |a (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng |a spa |a por | ||
050 | 0 | |a RA1-1270 | |
100 | 0 | |a Cristina Makarenko |e verfasserin |4 aut | |
245 | 1 | 0 | |a Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. | ||
650 | 4 | |a Measles, epidemiology | |
650 | 4 | |a Disease Transmission, Infectious | |
650 | 4 | |a Epidemics | |
650 | 4 | |a Communicable Disease Control | |
650 | 4 | |a Vaccination Coverage | |
653 | 0 | |a Public aspects of medicine | |
700 | 0 | |a Alexandre San Pedro |e verfasserin |4 aut | |
700 | 0 | |a Natalia Santana Paiva |e verfasserin |4 aut | |
700 | 0 | |a Jefferson Pereira Caldas dos Santos |e verfasserin |4 aut | |
700 | 0 | |a Roberto de Andrade Medronho |e verfasserin |4 aut | |
700 | 0 | |a Gerusa Gibson |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Revista de Saúde Pública |d Universidade de São Paulo, 2004 |g 56(2022) |w (DE-627)324824793 |w (DE-600)2031055-9 |x 15188787 |7 nnns |
773 | 1 | 8 | |g volume:56 |g year:2022 |
856 | 4 | 0 | |u https://doi.org/10.11606/s1518-8787.2022056003805 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc |z kostenfrei |
856 | 4 | 0 | |u http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en |z kostenfrei |
856 | 4 | 0 | |u http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1518-8787 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 56 |j 2022 |
author_variant |
c m cm a s p asp n s p nsp j p c d s jpcds r d a m rdam g g gg |
---|---|
matchkey_str |
article:15188787:2022----::esersrecibaiaayiote09pdmc |
hierarchy_sort_str |
2022 |
callnumber-subject-code |
RA |
publishDate |
2022 |
allfields |
10.11606/s1518-8787.2022056003805 doi (DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc DE-627 ger DE-627 rakwb eng spa por RA1-1270 Cristina Makarenko verfasserin aut Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine Alexandre San Pedro verfasserin aut Natalia Santana Paiva verfasserin aut Jefferson Pereira Caldas dos Santos verfasserin aut Roberto de Andrade Medronho verfasserin aut Gerusa Gibson verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 56(2022) (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:56 year:2022 https://doi.org/10.11606/s1518-8787.2022056003805 kostenfrei https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en kostenfrei http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 56 2022 |
spelling |
10.11606/s1518-8787.2022056003805 doi (DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc DE-627 ger DE-627 rakwb eng spa por RA1-1270 Cristina Makarenko verfasserin aut Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine Alexandre San Pedro verfasserin aut Natalia Santana Paiva verfasserin aut Jefferson Pereira Caldas dos Santos verfasserin aut Roberto de Andrade Medronho verfasserin aut Gerusa Gibson verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 56(2022) (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:56 year:2022 https://doi.org/10.11606/s1518-8787.2022056003805 kostenfrei https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en kostenfrei http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 56 2022 |
allfields_unstemmed |
10.11606/s1518-8787.2022056003805 doi (DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc DE-627 ger DE-627 rakwb eng spa por RA1-1270 Cristina Makarenko verfasserin aut Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine Alexandre San Pedro verfasserin aut Natalia Santana Paiva verfasserin aut Jefferson Pereira Caldas dos Santos verfasserin aut Roberto de Andrade Medronho verfasserin aut Gerusa Gibson verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 56(2022) (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:56 year:2022 https://doi.org/10.11606/s1518-8787.2022056003805 kostenfrei https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en kostenfrei http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 56 2022 |
allfieldsGer |
10.11606/s1518-8787.2022056003805 doi (DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc DE-627 ger DE-627 rakwb eng spa por RA1-1270 Cristina Makarenko verfasserin aut Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine Alexandre San Pedro verfasserin aut Natalia Santana Paiva verfasserin aut Jefferson Pereira Caldas dos Santos verfasserin aut Roberto de Andrade Medronho verfasserin aut Gerusa Gibson verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 56(2022) (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:56 year:2022 https://doi.org/10.11606/s1518-8787.2022056003805 kostenfrei https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en kostenfrei http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 56 2022 |
allfieldsSound |
10.11606/s1518-8787.2022056003805 doi (DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc DE-627 ger DE-627 rakwb eng spa por RA1-1270 Cristina Makarenko verfasserin aut Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine Alexandre San Pedro verfasserin aut Natalia Santana Paiva verfasserin aut Jefferson Pereira Caldas dos Santos verfasserin aut Roberto de Andrade Medronho verfasserin aut Gerusa Gibson verfasserin aut In Revista de Saúde Pública Universidade de São Paulo, 2004 56(2022) (DE-627)324824793 (DE-600)2031055-9 15188787 nnns volume:56 year:2022 https://doi.org/10.11606/s1518-8787.2022056003805 kostenfrei https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc kostenfrei http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en kostenfrei http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf kostenfrei https://doaj.org/toc/1518-8787 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 56 2022 |
language |
English Spanish Portuguese |
source |
In Revista de Saúde Pública 56(2022) volume:56 year:2022 |
sourceStr |
In Revista de Saúde Pública 56(2022) volume:56 year:2022 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage Public aspects of medicine |
isfreeaccess_bool |
true |
container_title |
Revista de Saúde Pública |
authorswithroles_txt_mv |
Cristina Makarenko @@aut@@ Alexandre San Pedro @@aut@@ Natalia Santana Paiva @@aut@@ Jefferson Pereira Caldas dos Santos @@aut@@ Roberto de Andrade Medronho @@aut@@ Gerusa Gibson @@aut@@ |
publishDateDaySort_date |
2022-01-01T00:00:00Z |
hierarchy_top_id |
324824793 |
id |
DOAJ042065801 |
language_de |
englisch spanisch portugiesisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ042065801</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308054640.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11606/s1518-8787.2022056003805</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ042065801</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">spa</subfield><subfield code="a">por</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Cristina Makarenko</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Measles, epidemiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Disease Transmission, Infectious</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Epidemics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Communicable Disease Control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vaccination Coverage</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alexandre San Pedro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Natalia Santana Paiva</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jefferson Pereira Caldas dos Santos</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Roberto de Andrade Medronho</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gerusa Gibson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Revista de Saúde Pública</subfield><subfield code="d">Universidade de São Paulo, 2004</subfield><subfield code="g">56(2022)</subfield><subfield code="w">(DE-627)324824793</subfield><subfield code="w">(DE-600)2031055-9</subfield><subfield code="x">15188787</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:56</subfield><subfield code="g">year:2022</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11606/s1518-8787.2022056003805</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1518-8787</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">56</subfield><subfield code="j">2022</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Cristina Makarenko |
spellingShingle |
Cristina Makarenko misc RA1-1270 misc Measles, epidemiology misc Disease Transmission, Infectious misc Epidemics misc Communicable Disease Control misc Vaccination Coverage misc Public aspects of medicine Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
authorStr |
Cristina Makarenko |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)324824793 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RA1-1270 |
illustrated |
Not Illustrated |
issn |
15188787 |
topic_title |
RA1-1270 Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo Measles, epidemiology Disease Transmission, Infectious Epidemics Communicable Disease Control Vaccination Coverage |
topic |
misc RA1-1270 misc Measles, epidemiology misc Disease Transmission, Infectious misc Epidemics misc Communicable Disease Control misc Vaccination Coverage misc Public aspects of medicine |
topic_unstemmed |
misc RA1-1270 misc Measles, epidemiology misc Disease Transmission, Infectious misc Epidemics misc Communicable Disease Control misc Vaccination Coverage misc Public aspects of medicine |
topic_browse |
misc RA1-1270 misc Measles, epidemiology misc Disease Transmission, Infectious misc Epidemics misc Communicable Disease Control misc Vaccination Coverage misc Public aspects of medicine |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Revista de Saúde Pública |
hierarchy_parent_id |
324824793 |
hierarchy_top_title |
Revista de Saúde Pública |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)324824793 (DE-600)2031055-9 |
title |
Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
ctrlnum |
(DE-627)DOAJ042065801 (DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc |
title_full |
Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
author_sort |
Cristina Makarenko |
journal |
Revista de Saúde Pública |
journalStr |
Revista de Saúde Pública |
callnumber-first-code |
R |
lang_code |
eng spa por |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2022 |
contenttype_str_mv |
txt |
author_browse |
Cristina Makarenko Alexandre San Pedro Natalia Santana Paiva Jefferson Pereira Caldas dos Santos Roberto de Andrade Medronho Gerusa Gibson |
container_volume |
56 |
class |
RA1-1270 |
format_se |
Elektronische Aufsätze |
author-letter |
Cristina Makarenko |
doi_str_mv |
10.11606/s1518-8787.2022056003805 |
author2-role |
verfasserin |
title_sort |
measles resurgence in brazil: analysis of the 2019 epidemic in the state of são paulo |
callnumber |
RA1-1270 |
title_auth |
Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
abstract |
ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. |
abstractGer |
ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. |
abstract_unstemmed |
ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
title_short |
Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo |
url |
https://doi.org/10.11606/s1518-8787.2022056003805 https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf https://doaj.org/toc/1518-8787 |
remote_bool |
true |
author2 |
Alexandre San Pedro Natalia Santana Paiva Jefferson Pereira Caldas dos Santos Roberto de Andrade Medronho Gerusa Gibson |
author2Str |
Alexandre San Pedro Natalia Santana Paiva Jefferson Pereira Caldas dos Santos Roberto de Andrade Medronho Gerusa Gibson |
ppnlink |
324824793 |
callnumber-subject |
RA - Public Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.11606/s1518-8787.2022056003805 |
callnumber-a |
RA1-1270 |
up_date |
2024-07-03T23:29:01.923Z |
_version_ |
1803602458792951810 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ042065801</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308054640.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.11606/s1518-8787.2022056003805</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ042065801</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf855545e5fc64c6eaccbe7160ed89edc</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">spa</subfield><subfield code="a">por</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Cristina Makarenko</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measles resurgence in Brazil: analysis of the 2019 epidemic in the state of São Paulo</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">ABSTRACT OBJECTIVE To analyze the epidemiological profile of cases and the pattern of spatial diffusion of the largest measles epidemic in Brazil that occurred in the post-elimination period in the state of São Paulo. METHOD A cross-sectional study based on confirmed measles cases in 2019. Bivariate analysis was performed for socioeconomic, clinical, and epidemiological variables, according to prior vaccination and hospitalization, combined with an analysis of spatial diffusion of cases using the Inverse Distance Weighting (IDW) method. RESULTS Of the 15,598 confirmed cases, 2,039 were hospitalized and 17 progressed to death. The epidemic peak occurred in epidemiological week 33, after confirmation of the first case, in the epidemiological week 6. Most cases were male (52.1%), aged between 18 and 29 years (38.7%), identified as whites (70%). Young adults (39.7%) and children under five years (32.8%) were the most affected age groups. A higher proportion of previous vaccination was observed in whites as compared to Blacks, browns, yellows and indigenous people (p < 0.001), as well as in the most educated group compared to the other categories (p < 0.001). The risk of hospitalization was higher in children than in the older age group (RI = 2.19; 95%CI: 1.66–2.88), as well as in the unvaccinated than in the vaccinated (RI = 1.59; 95%CI: 1.45–1.75). The pattern of diffusion by contiguity combined with diffusion by relocation followed the urban hierarchy of the main cities’ regions of influence. CONCLUSION In addition to routine vaccination in children, the findings indicate the need for immunization campaigns for young adults. In addition, studies that seek to investigate the occurrence of clusters of vulnerable populations, prone to lower vaccination coverage, are essential to broaden the understanding of the dynamics of transmission and, thus, reorienting control strategies that ensure disease elimination.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Measles, epidemiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Disease Transmission, Infectious</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Epidemics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Communicable Disease Control</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vaccination Coverage</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alexandre San Pedro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Natalia Santana Paiva</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jefferson Pereira Caldas dos Santos</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Roberto de Andrade Medronho</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gerusa Gibson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Revista de Saúde Pública</subfield><subfield code="d">Universidade de São Paulo, 2004</subfield><subfield code="g">56(2022)</subfield><subfield code="w">(DE-627)324824793</subfield><subfield code="w">(DE-600)2031055-9</subfield><subfield code="x">15188787</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:56</subfield><subfield code="g">year:2022</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.11606/s1518-8787.2022056003805</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f855545e5fc64c6eaccbe7160ed89edc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100241&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielo.br/pdf/rsp/v56/1518-8787-rsp-56-50.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1518-8787</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">56</subfield><subfield code="j">2022</subfield></datafield></record></collection>
|
score |
7.398202 |