Global geotemporal distribution of chikungunya disease, 2011–2022
Background: Chikungunya virus is a mosquito-borne alphavirus, transmitted by Aedes mosquitoes. Humans serve as the primary reservoir. Chikungunya infections typically appear with an abrupt onset of fever, rash, and severe joint pain. Some 40% of cases develop chronic rheumatologic complications that...
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ftdoajarticles:oai:doaj.org/article:4a2a92e7bd1b4b058745ed71ac358178 2023-09-05T13:17:38+02:00 Global geotemporal distribution of chikungunya disease, 2011–2022 John D. Grabenstein Aditya Singh Tomar 2023-07-01T00:00:00Z https://doi.org/10.1016/j.tmaid.2023.102603 https://doaj.org/article/4a2a92e7bd1b4b058745ed71ac358178 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S1477893923000637 https://doaj.org/toc/1873-0442 1873-0442 doi:10.1016/j.tmaid.2023.102603 https://doaj.org/article/4a2a92e7bd1b4b058745ed71ac358178 Travel Medicine and Infectious Disease, Vol 54, Iss , Pp 102603- (2023) Epidemiology Spatial representation Arbovirus Medical geography Mosquito Aedes Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2023 ftdoajarticles https://doi.org/10.1016/j.tmaid.2023.102603 2023-08-13T00:36:03Z Background: Chikungunya virus is a mosquito-borne alphavirus, transmitted by Aedes mosquitoes. Humans serve as the primary reservoir. Chikungunya infections typically appear with an abrupt onset of fever, rash, and severe joint pain. Some 40% of cases develop chronic rheumatologic complications that can persist months to years. Objectives: To improve precision of risk characterization by analyzing cases of chikungunya by year and by country and depicting this geotemporal distribution in map form. Method: Chikungunya case counts by year were compiled from national or regional health authorities from 2011 to 2022. These data were augmented by published reviews plus the Program for Monitoring Emerging Diseases (ProMED). Country-level distribution was categorized into four groups based on recency and magnitude. Data for India were mapped on a per-state basis. Results: The global map depicts distribution of chikungunya disease from 2011 through 2022. Most cases are reported in tropical and subtropical areas, but notable exceptions include the northern coast of the Mediterranean Sea. Countries of high recency and frequency include India, Brazil, Sudan, and Thailand. Countries with high frequency, but few cases reported in 2019–22 include many Latin American and Caribbean countries. Subnational foci are discussed in general and mapped for India. The range of Aedes mosquitoes is broader than the geography where chikungunya infection is typically diagnosed. Conclusions: These maps help identify geographical regions where residents or travelers are at greatest risk of chikungunya. Once vaccines are licensed to help prevent chikungunya, maps like these can help guide future vaccine decision-making. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Travel Medicine and Infectious Disease 54 102603 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Epidemiology Spatial representation Arbovirus Medical geography Mosquito Aedes Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Epidemiology Spatial representation Arbovirus Medical geography Mosquito Aedes Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 John D. Grabenstein Aditya Singh Tomar Global geotemporal distribution of chikungunya disease, 2011–2022 |
topic_facet |
Epidemiology Spatial representation Arbovirus Medical geography Mosquito Aedes Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Background: Chikungunya virus is a mosquito-borne alphavirus, transmitted by Aedes mosquitoes. Humans serve as the primary reservoir. Chikungunya infections typically appear with an abrupt onset of fever, rash, and severe joint pain. Some 40% of cases develop chronic rheumatologic complications that can persist months to years. Objectives: To improve precision of risk characterization by analyzing cases of chikungunya by year and by country and depicting this geotemporal distribution in map form. Method: Chikungunya case counts by year were compiled from national or regional health authorities from 2011 to 2022. These data were augmented by published reviews plus the Program for Monitoring Emerging Diseases (ProMED). Country-level distribution was categorized into four groups based on recency and magnitude. Data for India were mapped on a per-state basis. Results: The global map depicts distribution of chikungunya disease from 2011 through 2022. Most cases are reported in tropical and subtropical areas, but notable exceptions include the northern coast of the Mediterranean Sea. Countries of high recency and frequency include India, Brazil, Sudan, and Thailand. Countries with high frequency, but few cases reported in 2019–22 include many Latin American and Caribbean countries. Subnational foci are discussed in general and mapped for India. The range of Aedes mosquitoes is broader than the geography where chikungunya infection is typically diagnosed. Conclusions: These maps help identify geographical regions where residents or travelers are at greatest risk of chikungunya. Once vaccines are licensed to help prevent chikungunya, maps like these can help guide future vaccine decision-making. |
format |
Article in Journal/Newspaper |
author |
John D. Grabenstein Aditya Singh Tomar |
author_facet |
John D. Grabenstein Aditya Singh Tomar |
author_sort |
John D. Grabenstein |
title |
Global geotemporal distribution of chikungunya disease, 2011–2022 |
title_short |
Global geotemporal distribution of chikungunya disease, 2011–2022 |
title_full |
Global geotemporal distribution of chikungunya disease, 2011–2022 |
title_fullStr |
Global geotemporal distribution of chikungunya disease, 2011–2022 |
title_full_unstemmed |
Global geotemporal distribution of chikungunya disease, 2011–2022 |
title_sort |
global geotemporal distribution of chikungunya disease, 2011–2022 |
publisher |
Elsevier |
publishDate |
2023 |
url |
https://doi.org/10.1016/j.tmaid.2023.102603 https://doaj.org/article/4a2a92e7bd1b4b058745ed71ac358178 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Travel Medicine and Infectious Disease, Vol 54, Iss , Pp 102603- (2023) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S1477893923000637 https://doaj.org/toc/1873-0442 1873-0442 doi:10.1016/j.tmaid.2023.102603 https://doaj.org/article/4a2a92e7bd1b4b058745ed71ac358178 |
op_doi |
https://doi.org/10.1016/j.tmaid.2023.102603 |
container_title |
Travel Medicine and Infectious Disease |
container_volume |
54 |
container_start_page |
102603 |
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1776198737573445632 |