Cross-border malaria in Northern Brazil
Abstract Background Cross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a B...
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ftdoajarticles:oai:doaj.org/article:a27abd8fee184926bbc8e79a10f2ec37 2023-05-15T15:15:02+02:00 Cross-border malaria in Northern Brazil Nicholas J. Arisco Cassio Peterka Marcia C. Castro 2021-03-01T00:00:00Z https://doi.org/10.1186/s12936-021-03668-4 https://doaj.org/article/a27abd8fee184926bbc8e79a10f2ec37 EN eng BMC https://doi.org/10.1186/s12936-021-03668-4 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-021-03668-4 1475-2875 https://doaj.org/article/a27abd8fee184926bbc8e79a10f2ec37 Malaria Journal, Vol 20, Iss 1, Pp 1-13 (2021) Cross-border malaria Malaria elimination Imported malaria Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2021 ftdoajarticles https://doi.org/10.1186/s12936-021-03668-4 2022-12-31T07:06:19Z Abstract Background Cross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a Brazilian state situated between Venezuela and Guyana, bears the greatest burden. This study analyses the current cross-border malaria epidemiology in Northern Brazil between the years 2007 and 2018. Methods De-identified data on reported malaria cases in Brazil were obtained from the Malaria Epidemiological Surveillance Information System for the years 2007 to 2018. Pearson’s Chi-Square test of differences was utilized to assess differences between characteristics of cross-border cases originating from Venezuela and Guyana, and between border and transnational cases. A logistic regression model was used to predict imported status of cases. Results Cross-border cases from Venezuela and Guyana made up the majority of border and transnational cases since 2012, and Roraima remained the largest receiving state for cross-border cases over this period. There were significant differences in the profiles of border and transnational cases originating from Venezuela and Guyana, including type of movement and nationality of patients. Logistic regression results demonstrated Venezuelan and Guyanese nationals, Brazilian miners, males, and individuals of working age had heightened odds of being an imported case. Furthermore, Venezuelan citizens had heightened odds of seeking care in municipalities adjacent Venezuela, rather than transnational municipalities. Conclusions Cross-border malaria contributes to the malaria burden at the Venezuela-Guyana-Brazil border. The identification of distinct profiles of case importation provides evidence on the need to strengthen surveillance at border areas, and to deploy tailored strategies that recognize different mobility routes, such as the movement of refuge-seeking individuals and of ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 20 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Cross-border malaria Malaria elimination Imported malaria Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Cross-border malaria Malaria elimination Imported malaria Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Nicholas J. Arisco Cassio Peterka Marcia C. Castro Cross-border malaria in Northern Brazil |
topic_facet |
Cross-border malaria Malaria elimination Imported malaria Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Cross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a Brazilian state situated between Venezuela and Guyana, bears the greatest burden. This study analyses the current cross-border malaria epidemiology in Northern Brazil between the years 2007 and 2018. Methods De-identified data on reported malaria cases in Brazil were obtained from the Malaria Epidemiological Surveillance Information System for the years 2007 to 2018. Pearson’s Chi-Square test of differences was utilized to assess differences between characteristics of cross-border cases originating from Venezuela and Guyana, and between border and transnational cases. A logistic regression model was used to predict imported status of cases. Results Cross-border cases from Venezuela and Guyana made up the majority of border and transnational cases since 2012, and Roraima remained the largest receiving state for cross-border cases over this period. There were significant differences in the profiles of border and transnational cases originating from Venezuela and Guyana, including type of movement and nationality of patients. Logistic regression results demonstrated Venezuelan and Guyanese nationals, Brazilian miners, males, and individuals of working age had heightened odds of being an imported case. Furthermore, Venezuelan citizens had heightened odds of seeking care in municipalities adjacent Venezuela, rather than transnational municipalities. Conclusions Cross-border malaria contributes to the malaria burden at the Venezuela-Guyana-Brazil border. The identification of distinct profiles of case importation provides evidence on the need to strengthen surveillance at border areas, and to deploy tailored strategies that recognize different mobility routes, such as the movement of refuge-seeking individuals and of ... |
format |
Article in Journal/Newspaper |
author |
Nicholas J. Arisco Cassio Peterka Marcia C. Castro |
author_facet |
Nicholas J. Arisco Cassio Peterka Marcia C. Castro |
author_sort |
Nicholas J. Arisco |
title |
Cross-border malaria in Northern Brazil |
title_short |
Cross-border malaria in Northern Brazil |
title_full |
Cross-border malaria in Northern Brazil |
title_fullStr |
Cross-border malaria in Northern Brazil |
title_full_unstemmed |
Cross-border malaria in Northern Brazil |
title_sort |
cross-border malaria in northern brazil |
publisher |
BMC |
publishDate |
2021 |
url |
https://doi.org/10.1186/s12936-021-03668-4 https://doaj.org/article/a27abd8fee184926bbc8e79a10f2ec37 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 20, Iss 1, Pp 1-13 (2021) |
op_relation |
https://doi.org/10.1186/s12936-021-03668-4 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-021-03668-4 1475-2875 https://doaj.org/article/a27abd8fee184926bbc8e79a10f2ec37 |
op_doi |
https://doi.org/10.1186/s12936-021-03668-4 |
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Malaria Journal |
container_volume |
20 |
container_issue |
1 |
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1766345421223886848 |