Arthropod-borne diseases among travellers arriving in Europe from Africa, 2015 to 2019

Author:

Gossner Céline M1ORCID,Hallmaier-Wacker Luisa1ORCID,Briet Olivier1,Haussig Joana M1ORCID,de Valk Henriette2ORCID,Wijermans Ariana1ORCID,Bakonyi Tamas1,Madubuko Theresa3,Frank Christina4ORCID,Noel Harold2,Abdulaziz Mohammed3

Affiliation:

1. European Centre for Disease Prevention and Control, Stockholm, Sweden

2. Santé publique France, Saint Maurice, France

3. Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia

4. Robert Koch Institute, Berlin, Germany

Abstract

Background Travellers are generally considered good sentinels for infectious disease surveillance. Aim To investigate whether health data from travellers arriving from Africa to Europe could provide evidence to support surveillance systems in Africa. Methods We examined disease occurrence and estimated risk of infection among travellers arriving from Africa to Europe from 2015 to 2019 using surveillance data of arthropod-borne disease cases collected through The European Surveillance System (TESSy) and flight passenger volumes from the International Air Transport Association. Results Malaria was the most common arthropod-borne disease reported among travellers from Africa, with 34,235 cases. The malaria travellers’ infection rate (TIR) was 28.8 cases per 100,000 travellers, which is 36 and 144 times higher than the TIR for dengue and chikungunya, respectively. The malaria TIR was highest among travellers arriving from Central and Western Africa. There were 956 and 161 diagnosed imported cases of dengue and chikungunya, respectively. The highest TIR was among travellers arriving from Central, Eastern and Western Africa for dengue and from Central Africa for chikungunya in this period. Limited numbers of cases of Zika virus disease, West Nile virus infection, Rift Valley fever and yellow fever were reported. Conclusions Despite some limitations, travellers’ health data can efficiently complement local surveillance data in Africa, particularly when the country or region has a sub-optimal surveillance system. The sharing of anonymised traveller health data between regions/continents should be encouraged.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

Reference47 articles.

1. Sentinel surveillance of imported dengue via travellers to Europe 2012 to 2014: TropNet data from the DengueTools Research Initiative.;Neumayr;Euro Surveill,2017

2. Zika beyond the Americas: Travelers as sentinels of Zika virus transmission. A GeoSentinel analysis, 2012 to 2016.;Leder;PLoS One,2017

3. Risks related to chikungunya infections among European Union travelers, 2012-2018.;Gossner;Emerg Infect Dis,2020

4. Travel-related infections presenting in Europe: A 20-year analysis of EuroTravNet surveillance data.;Grobusch;Lancet Reg Health Eur,2020

5. United Nations (UN) Statistics Division. Standard country or area codes for statistical use (M49). Geneva: UN; 1999. [Accessed: 5 Feb 2022]. Available from: https://unstats.un.org/unsd/methodology/m49

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