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Bulletin of the World Health Organization logoLink to Bulletin of the World Health Organization
. 2018 Apr 11;96(5):343–354B. doi: 10.2471/BLT.17.205658

International travel between global urban centres vulnerable to yellow fever transmission

Déplacements internationaux entre des centres urbains mondiaux propices à la transmission de la fièvre jaune

Viaje internacional por los centros urbanos del mundo vulnerables a la transmisión de la fiebre amarilla

السفر حول العالم وانتشار الحمّى الصفراء في المناطق الحضرية

全球城市间的国际旅行容易遭受黄热病传播的侵袭

Международные поездки между мировыми городскими центрами, подверженными распространению желтой лихорадки

Shannon E Brent a, Alexander Watts a, Martin Cetron b, Matthew German a, Moritz UG Kraemer c, Isaac I Bogoch d, Oliver J Brady e, Simon I Hay f, Maria I Creatore g, Kamran Khan a,
PMCID: PMC5985425  PMID: 29875519

Abstract

Objective

To examine the potential for international travel to spread yellow fever virus to cities around the world.

Methods

We obtained data on the international flight itineraries of travellers who departed yellow fever-endemic areas of the world in 2016 for cities either where yellow fever was endemic or which were suitable for viral transmission. Using a global ecological model of dengue virus transmission, we predicted the suitability of cities in non-endemic areas for yellow fever transmission. We obtained information on national entry requirements for yellow fever vaccination at travellers’ destination cities.

Findings

In 2016, 45.2 million international air travellers departed from yellow fever-endemic areas of the world. Of 11.7 million travellers with destinations in 472 cities where yellow fever was not endemic but which were suitable for virus transmission, 7.7 million (65.7%) were not required to provide proof of vaccination upon arrival. Brazil, China, India, Mexico, Peru and the United States of America had the highest volumes of travellers arriving from yellow fever-endemic areas and the largest populations living in cities suitable for yellow fever transmission.

Conclusion

Each year millions of travellers depart from yellow fever-endemic areas of the world for cities in non-endemic areas that appear suitable for viral transmission without having to provide proof of vaccination. Rapid global changes in human mobility and urbanization make it vital for countries to re-examine their vaccination policies and practices to prevent urban yellow fever epidemics.

Introduction

In December 2015, Angola reported its first locally acquired case of yellow fever in nearly a decade. The ensuing epidemic was first recognized in Luanda, then spread across Angola’s 18 provinces, resulting in 4347 suspected or confirmed cases and 377 deaths.1 International travellers departing from Angola then imported yellow fever virus into Kenya and the Democratic Republic of the Congo,2 where another epidemic ensued, causing 2987 suspected or confirmed cases and 121 deaths.1 Furthermore, 11 foreign workers infected in Angola travelled to urban centres in China, the first time imported cases of yellow fever have been reported in Asia.3 Four cases were recently imported into Europe over an 8-month period by travellers returning from South America.4 The time period is in stark contrast to the 27 years during which the previous four cases of travel-associated yellow fever were imported into Europe.4 In early 2018, nine cases were exported from Brazil and led to three deaths.5 Increased air travel and globalization is making it easier for humans to transport yellow fever virus across international borders, potentially catalysing deadly urban epidemics.3

An essential tool in the fight against yellow fever is a live-attenuated vaccine developed in 1937.6 This vaccine is vital for the prevention and control of yellow fever epidemics since no effective antiviral therapy exists.7 However, a substantial proportion of the world’s yellow fever vaccine stock was recently consumed in response to epidemics in Africa8 and Brazil.9 As a stopgap measure, the World Health Organization (WHO) approved fractional dosing to extend the vaccine supply, while recognizing that the duration of immunity may be compromised.10 With only four WHO-qualified yellow fever vaccine manufacturers in the world, rapid replenishment of the global emergency stockpile stretches finite resources, potentially resulting in vaccine shortages for preventive campaigns.11 In late 2017, stocks of YF-VAX® (Sanofi Pasteur, Lyon, France) in North America were depleted because of manufacturing difficulties.5 Should another urban epidemic occur in the near future, vaccine demand could easily exceed the available supply.

Although many countries have vaccination policies to prevent international spread of the yellow fever virus, implementation is inconsistent.12 Most, but not all countries where yellow fever is endemic require arriving international travellers without medical contraindications to provide official documentation of vaccination as a prerequisite for entry. As the vaccine provides protective immunity to 90% and 99% of individuals 10 and 30 days after vaccination, respectively,13 most travellers are protected from acquiring and exporting the yellow fever virus. Furthermore, some countries where the disease is not endemic, but where the competent mosquito vector Aedes aegypti is present require travellers arriving from a yellow fever-endemic country to provide proof of vaccination.14

The confluence of climate change,15 rapid urbanization16 and international air travel17 are accelerating the globalization of mosquito-borne viruses such as dengue, chikungunya and Zika viruses. Here we examined the potential for the yellow fever virus to spread via international air travel into the world’s cities, in order to guide global epidemic prevention efforts.

Methods

To identify gaps in yellow fever vaccination policies around the world, we assessed the potential for the international spread of yellow fever from areas deemed by WHO to be at risk of transmission to areas where conditions are known, or predicted, to be suitable for transmission. Our goal was to provide a global perspective on urban exposure to imported yellow fever virus, irrespective of past or present epidemics.

Global endemicity

We considered places where WHO recommended yellow fever vaccination in 2016, including recently identified parts of Brazil, to be areas where humans were at risk of local infection.1820 We refer to these areas as yellow fever-endemic areas, although we recognize that they may not have been experiencing yellow fever transmission. We excluded places where yellow fever vaccination was generally not recommended by WHO. For non-holoendemic countries (i.e. where only part of the country was at risk of yellow fever),20 we delineated subnational areas of risk using ArcGIS v. 10.4.1 (Esri, Redlands, United States of America). We then used LandScan (Oak Ridge National Laboratory, Oak Ridge, USA)21 to estimate the total population living within the global range of the yellow fever virus.

International dispersion

To account for the possibility that individuals infected with yellow fever virus within an endemic area might travel by land to a nearby airport in a non-endemic area, we used ArcGIS v. 10.4.1 to identify all commercial airports registered with the International Air Transport Association (IATA): (i) within 200 km of any yellow fever-endemic area worldwide (base scenario); and (ii) within 200 km of any city within a yellow fever-endemic area (urban scenario). In the base scenario, we considered travellers departing from areas of potential sylvatic or urban transmission as possible sources of exported yellow fever virus. In the urban scenario, we focused on travellers departing from airports within 200 km of a city (i.e. an urban centre with more than 300 000 residents, as defined by the United Nations’ World Urbanization Prospects)22 located in a yellow fever-endemic area. We mapped the final destination airports and the number of international travellers (determined from unique trips on commercial flights) departing from airports in each scenario by analysing worldwide tickets sales data from IATA between 1 January and 31 December 2016.23 These data included the travellers’ full itineraries: their initial airport of embarkation, their final destination airport and, where applicable, connecting airports. The data did not detail uncompleted trips due, for example, to cancelled or missed flights. Overall, these data accounted for an estimated 90% of all trips on commercial flights worldwide; the remaining 10% were modelled using airline market intelligence.23 Such data have been used previously to anticipate the global spread of emerging infectious diseases.24

Potential for urban transmission

To identify cities where yellow fever was not endemic, but which may have been suitable for viral transmission, we used a high-resolution, global, ecological model of dengue virus transmission, which was developed using empirical data on the real-world occurrence of dengue fever and associated environmental and climatic predictors of dengue virus transmission.25 We assumed that cities predicted to be suitable for dengue virus transmission were also ecologically suitable for yellow fever virus transmission, because both viruses are primarily transmitted by Aedes aegypti, an anthropophilic mosquito highly adapted to urban settings.25 Adopting a conservative approach, we excluded cities where the predicted probability of dengue-suitability was below 50%. As our analysis focused on urban importation and transmission of yellow fever virus, we did not consider its introduction into rural, sylvatic areas or transmission among non-human primates. We defined a yellow fever-suitable city as a population centre with at least 300 000 residents in an area where the yellow fever virus was not endemic but which was predicted to be suitable for viral transmission. We excluded cities above 2300 m because environmental conditions at these elevations are considered unsuitable for yellow fever virus transmission.26

We assessed the potential for importation of the yellow fever virus by quantifying the volume of airline passengers travelling from yellow fever-endemic areas of the world, according to our base and urban scenarios, to yellow fever-suitable and -endemic cities. We also considered the possibility that individuals infected with the virus might arrive at an airport in a non-endemic area and then travel by land to a neighbouring city within a yellow fever-endemic or -suitable area: in our analysis, we included all commercial airports located within 200 km of these mutually exclusive geographical areas. We then categorized traveller flows according to the official yellow fever travel vaccination policy in each endemic and non-endemic country: (i) no proof of yellow fever vaccination required; (ii) proof of vaccination required if arriving from a yellow fever-endemic country; and (iii) proof of vaccination required if arriving from any country.27 Finally, we aggregated the resident populations of all yellow fever-suitable and -endemic cities.

Results

We estimated that 923 million people lived in areas of the world where yellow fever was endemic in 2016, spanning 25 holoendemic and 17 non-holoendemic countries or territories (Box 1).

Box 1. Countries and territories at risk of yellow fever transmission in 2016, according to the United States’ Centers for Disease Control and Prevention and the World Health Organization13.

Countries and territories where yellow fever was endemic (i.e. holoendemic countries)

Angola, Benin, Burkina Faso, Burundi, Cameroon, Central African Republic, Congo, Côte d'Ivoire, Equatorial Guinea, French Guiana, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Guyana, Liberia, Nigeria, Paraguay, Senegal, Sierra Leone, South Sudan, Suriname, Togo, Uganda

Countries where only a portion were at risk of yellow fever (i.e. non-holoendemic countries)

Argentina, Bolivia (Plurinational State of), Brazil, Chad, Colombia, Democratic Republic of the Congo, Ecuador, Ethiopia, Kenya, Mali, Mauritania, Niger, Panama, Peru, Sudan, Trinidad and Tobago, Venezuela (Bolivarian Republic of)

In our base scenario, 45.2 million travellers departed from yellow fever-endemic areas for international destinations in 2016. Of these, 7.9 million (17.4%) had final destinations at airports within or adjacent to yellow fever-endemic cities, 11.7 million (25.8%) had destinations at airports within or adjacent to yellow fever-suitable cities and 25.6 million (57.8%) had other destinations (Fig. 1). Of the 7.9 million travellers with international destinations at or near other yellow fever-endemic cities, 0.86 million (11.0%) landed in a country where proof of yellow fever vaccination was not required upon arrival: one holoendemic country (i.e. South Sudan) and three non-holoendemic countries (i.e. Argentina, Brazil and Peru). Of the 11.7 million travellers with destinations at or near yellow fever-suitable cities, 7.7 million (65.7%) landed in a country where proof of yellow fever vaccination was not required: four non-holoendemic countries (i.e. Argentina, Brazil, Ecuador and Peru) and 12 non-endemic countries (e.g. the United States). Conversely, 14.9 million travellers departed non-endemic areas of the world for airports within or adjacent to yellow fever-endemic cities; 11.4 million (76.4%) of these travellers landed in countries where proof of yellow fever vaccination was not required on arrival.

Fig. 1.

International movements of air travellers between areas that were or were not endemic for yellow fever, 2016

Notes: A yellow fever-endemic area was a national or subnational area where the World Health Organization recommended yellow fever vaccination. A yellow fever-endemic city was a city located in an area where vaccination was recommended. A yellow fever-suitable city was a city that was suitable for dengue virus transmission (see main text for details). Other destinations were: (i) all destinations where yellow fever was not endemic and which were not suitable for yellow fever transmission; and (ii) areas where yellow fever was endemic or which were suitable for yellow fever transmission but did not contain a settlement with a population greater than 300 000.

Fig. 1

In our urban scenario, 32.2 million travellers departed airports within or near yellow fever-endemic cities for international destinations in 2016. Of these, 6.1 million (18.9%) arrived at or near yellow fever-endemic cities (Table 1); there was one fewer destination city than in our base scenario. In addition, 8.4 million (26.1%) arrived at or near yellow fever-suitable cities; there were six fewer destination cities than in our base scenario (Table 2). As the urban scenario considered only travellers departing from airports within 200 km of a city within a yellow fever-endemic area, it represents the potential for dispersion during an urban outbreak rather than dispersion secondary to urban or sylvatic transmission, as in the base scenario.

Table 1. International air travellers arriving in cities where yellow fever was endemic from other endemic areas or cities, 2016.

Destination country or territory,a by rankb No. travellers arriving from yellow fever-endemic areas
Urban population of destination country, millionsc Proof of yellow fever vaccination required upon arrival
Departure airport within 200 km of a yellow fever-endemic area (base scenario)d Departure airport within 200 km of a city in a yellow fever-endemic area (urban scenario)e From yellow fever-endemic countries only From any country
1. Colombia 1 373 439 776 317 16.4 Yes No
2. Panama 995 941 625 764 1.7 Yes No
3. Brazil 769 203 474 260 54.6 Nof Nof
4. Nigeria 532 602 485 319 46.8 Yes No
5. Ghana 389 242 378 893 6.1 No Yes
6. Côte d'Ivoire 360 179 347 372 6.0 No Yes
7. Kenya 357 561 291 022 5.7 Yes No
8. Senegal 322 374 295 805 3.5 Yes No
9. Cameroon 280 895 272 308 7.5 Yes No
10. Venezuela (Bolivarian Republic of) 221 837 185 895 7.3 Yes No
11. Gabon 199 560 197 595 0.7 No Yes
12. Congo 195 571 178 963 2.9 No Yes
13. Benin 189 191 186 575 1.4 Yes No
14. Mali 161 064 151 877 2.5 No Yes
15. Paraguay 151 425 112 640 2.8 Yes No
16. Uganda 149 683 135 482 1.9 Yes No
17. Angola 125 518 92 021 7.2 No Yes
18. Bolivia (Plurinational State of) 121 798 93 353 2.1 Yes No
19. Democratic Republic of the Congo 118 798 80 433 20.1 No Yes
20. Burkina Faso 105 837 97 019 3.5 Yes No
21. Togo 104 851 102 487 1.0 No Yes
22. South Sudan 92 280 83 838 0.3 No No
23. Sudan 90 271 48 908 2.1 Yes No
24. Guinea 75 603 73 078 1.9 Yes No
25. Liberia 65 060 64 915 1.3 No Yes
Other countriesg 315 213 284 692 7.4 NA NA
Total 7 864 996 6 116 831 214.7 NA NA

NA: not applicable.

a All destination countries and territories were yellow fever-endemic areas.

b Countries and territories were ranked according to the number of travellers arriving from yellow fever-endemic areas, which was determined by examining all outbound international flights from airports within areas where the World Health Organization (WHO) recommended yellow fever vaccination and all airports within 200 km of such areas.1719

c Nationally aggregated population living in cities.

d The base scenario considered international travellers arriving from airports within areas where WHO recommended yellow fever vaccination and all airports within 200 km of such areas.

e The urban scenario considered international travellers arriving from airports within 200 km of a city (population ≥ 300 000) in an area where WHO recommended yellow fever vaccination.

f We did not take into account Brazil’s temporary yellow fever vaccination requirements for incoming passengers from Angola and the Democratic Republic of the Congo during the 2016 outbreak.

g There were 10 other yellow fever-endemic destination countries with an airport within 200 km of a yellow fever-endemic city with a population of at least 300 000: Argentina, Burundi, Central African Republic, Chad, Ethiopia, Gambia, Guinea-Bissau, Niger, Peru and Sierra Leone. We did not show the 7 countries where there was no city with at least 300 000 residents located in a yellow fever-endemic area: Ecuador, Equatorial Guinea, French Guiana, Guyana, Mauritania, Suriname and Trinidad and Tobago.

Table 2. International air travellers arriving in cities suitable for yellow fever transmission from areas or cities where yellow fever was endemic, 2016.

Destination country or territory,a by rankb No. travellers arriving from yellow fever-endemic areas
Urban population of destination country, millionsc Proof of yellow fever vaccination required upon arrival
Departure airport within 200 km of a yellow fever-endemic area (base scenario)d Departure airport within 200 km of a city in a yellow fever-endemic area (urban scenario)e From yellow fever-endemic countries only From any country
1. United Statesf 2 762 081 1 659 163 9.6 No No
2. Mexico 1 166 021 874 820 33.5 No No
3. United Arab Emirates 890 623 717 232 0.5 No No
4. Peru 752 113 536 161 12.1 No No
5. Ecuador 595 181 405 106 3.0 No No
6. Dominican Republic 538 042 322 848 3.5 No No
7. Brazil 481 737 311 969 44.2 Nog Nog
8. Venezuela (Bolivarian Republic of) 461 006 376 804 7.6 Yes No
9. China 403 683 316 588 98.7 Yes No
10. India 385 786 345 314 235.3 Yes No
11. Cuba 372 455 237 228 3.2 Yes No
12. Saudi Arabia 319 711 256 316 6.5 Yes No
13. Costa Rica 283 169 216 087 1.2 Yes No
14. United Republic of Tanzania 268 038 247 515 7.8 Yes No
15. Egypt 217 597 204 251 22.8 Yes No
16. Argentina 213 665 170 456 6.3 No No
17. Rwanda 170 040 162 831 1.3 Yes No
18. Guatemala 115 834 94 882 2.9 Yes No
19. El Salvador 103 943 85 577 1.1 Yes No
20. China, Hong Kong SAR 96 258 74 284 7.3 No No
21. Sudan 90 037 48 723 5.6 Yes No
22. Thailand 86 481 62 266 12.7 Yes No
23. Puerto Rico 77 282 57 657 2.8 No No
24. Jamaica 76 848 19 822 0.6 Yes No
25. Nicaragua 68 481 59 128 1.0 No No
Other countriesh 665 455 531 709 211.0 NA NA
Total 11 661 567 8 394 737 742.1 NA NA

NA: not applicable; SAR: Special Administrative Region.

a Destination cities in these countries and territories were ecologically suitable for yellow fever virus transmission but were not in yellow fever-endemic areas.

b Countries and territories were ranked according to the number of travellers arriving from yellow fever-endemic areas, which was determined by examining all outbound international flights from airports within areas where the World Health Organization (WHO) recommended yellow fever vaccination and all airports within 200 km of such areas.1719

c Nationally aggregated population living in yellow fever-suitable cities. In the urban scenario, there were six fewer yellow fever-suitable destination cities than in the base scenario: Satna, India (population 0.31 million); Ibb, Yemen (population 0.45 million); Al Hudaydah, Yemen (population 0.57 million); Taiz, Yemen (population 0.69 million); Aden, Yemen (population 0.88 million); and Sana’a, Yemen (population 2.7 million).

d Our base scenario considered international travellers arriving from airports within areas where WHO recommended yellow fever vaccination and all airports within 200 km of such areas.

e Our urban scenario considered international travellers arriving from airports within 200 km of a city (population ≥ 300 000) in an area where WHO recommended yellow fever vaccination.

f United States’ territory included all continental states and Hawaii. Puerto Rico was not included and is listed separately. Other United States territories, such as Guam, American Samoa and the United States Virgin Islands, do not have cities with at least 300 000 residents and are thus not included.

g We did not take into account Brazil’s temporary yellow fever vaccination requirements for incoming passengers from Angola and the Democratic Republic of the Congo during the 2016 outbreak.

h There were 29 other countries or territories suitable for yellow fever transmission (details available from the corresponding author on request).

Among countries with yellow fever-endemic cities, Brazil, Colombia and Nigeria had the highest traveller numbers from other yellow fever-endemic areas of the world and the largest populations living in yellow fever-endemic cities (Fig. 2). Colombia and Nigeria required proof of yellow fever vaccination from travellers arriving from other yellow fever-endemic countries but not from non-endemic countries. In contrast, Brazil did not require proof of vaccination from travellers arriving from yellow fever-endemic countries. Among countries with yellow fever-suitable cities, Brazil, China, India, Mexico, Peru and the United States had the highest traveller numbers arriving from yellow fever-endemic areas and the largest populations living in yellow fever-suitable cities (Fig. 3). Of these, Brazil, Mexico, Peru and the United States did not require proof of yellow fever vaccination from travellers arriving from yellow fever-endemic areas. Fig. 4 and Table 3 (available at: http://www.who.int/bulletin/volumes/96/5/17-205658) show the resident populations of yellow fever-endemic cities globally according to national yellow fever travel vaccination policy and Fig. 5 and Table 4 (available at: http://www.who.int/bulletin/volumes/96/5/17-205658) show the corresponding populations of yellow fever-suitable cities.

Fig. 2.

International air travellers arriving from yellow fever-endemic areas and aggregated population of yellow fever-endemic destination cities, by country, 2016

Notes: Both axes have a logarithmic scale. A yellow fever-endemic area was a national or subnational area where the World Health Organization recommended yellow fever vaccination. The symbols indicate the national yellow fever vaccination policy for travellers arriving in the country.

Fig. 2

Fig. 3.

International air travellers arriving from yellow fever-endemic areas and aggregated population of yellow fever-suitable destination cities, by country or territory, 2016

SAR: Special Administrative Region.

Notes: Both axes have a logarithmic scale. A yellow fever-suitable city was ecologically suitable for yellow fever virus transmission but was not located in a yellow fever-endemic area, which was defined as an area where the World Health Organization recommended yellow fever vaccination. The symbols indicate the national yellow fever vaccination policy for travellers arriving in the country.

Fig. 3

Fig. 4.

Population of yellow fever-endemic cities, by travel vaccination policy, 2016

Notes: In total, there were 170 yellow fever-endemic cities, represented by circles on the map, in 35 countries. Yellow fever-endemic cities were located in areas where the World Health Organization recommended yellow fever vaccination. In the urban scenario (see main text for details), there was one fewer yellow fever-endemic city than in the base scenario: Tshikapa, Democratic Republic of the Congo (population 0.69 million).

Fig. 4

Table 3. Top 50 yellow fever - endemic destination cities of air travellers from areas or cities where yellow fever was endemic, by city population, 2016.

Destination city, country or territory,a by rankb Populationc Proof of yellow fever vaccination required upon arrivald
From yellow fever-endemic countries only From any country
1. Lagos, Nigeria 13 122 829 Yes No
2., Rio de Janeiro Brazil 12 902 306 No No
3. Kinshasa, Democratic Republic of the Congo 11 586 914 No Yes
4. Belo Horizonte, Brazil 5 716 422 No No
5. Luanda, Angola 5 506 000 No Yes
6. Abidjan, Côte d'Ivoire 4 859 798 No Yes
7. Brasília, Brazil 4 155 476 No No
8. Nairobi, Kenya 3 914 791 Yes No
9. Medellín, Colombia 3 910 989 Yes No
10. Porto Alegre, Brazil 3 602 526 No No
11. Kano, Nigeria 3 587 049 Yes No
12. Salvador, Brazil 3 582 967 No No
13. Dakar, Senegal 3 520 215 Yes No
14. Ibadan, Nigeria 3 160 190 Yes No
15. Yaoundé, Cameroon 3 065 692 Yes No
16. Campinas, Brazil 3 047 102 No No
17. Douala, Cameroon 2 943 318 Yes No
18. Ouagadougou, Burkina Faso 2 741 128 Yes No
19. Cali, Colombia 2 645 941 Yes No
20. Kumasi, Ghana 2 598 789 No Yes
21. Bamako, Mali 2 515 000 No Yes
22. Abuja, Nigeria 2 440 242 Yes No
23. Asunción, Paraguay 2 356 174 Yes No
24. Port Harcourt, Nigeria 2 343 309 Yes No
25. Goiânia, Brazil 2 284 828 No No
26. Accra, Ghana 2 277 298 No Yes
27. Maracaibo, Venezuela (Bolivarian Republic of) 2 196 435 Yes No
28. Belém, Brazil 2 181 607 No No
29. Santa Cruz, Bolivia (Plurinational State of) 2 106 682 Yes No
30. Manaus, Brazil 2 025 379 No No
31. Lubumbashi, Democratic Republic of the Congo 2 015 091 No Yes
32. Mbuji-Mayi, Democratic Republic of the Congo 2 006 641 No Yes
33. Barranquilla, Colombia 1 991 158 Yes No
34. Conakry, Guinea 1 936 045 Yes No
35. Kampala, Uganda 1 935 654 Yes No
36. Brazzaville, Congo 1 887 625 No Yes
37. Ciudad de Panama, Panama 1 672 810 Yes No
38. Grande Vitória, Brazil 1 636 141 No No
39. Benin City, Nigeria 1 495 763 Yes No
40. Grande São Luis, Brazil 1 436 781 No No
41. Huambo, Angola 1 269 211 No Yes
42. Monrovia, Liberia 1 263 800 No Yes
43. N'Djaména, Chad 1 260 146 Yes No
44. Bucaramanga, Colombia 1 215 066 Yes No
45 Kananga, Democratic Republic of the Congo 1 168 687 No Yes
46. Onitsha, Nigeria 1 109 287 Yes No
47. Mombasa, Kenya 1 103 703 Yes No
48. Cartagena, Colombia 1 092 336 Yes No
49. Niamey, Niger 1 089 589 No Yes
50. Kaduna, Nigeria 1 047 815 Yes No

a All destination countries and territories were yellow fever-endemic areas.

b Cities were ranked according to urban population size.

c We obtained population data from United Nations’ World Urbanization Prospects.22

d We did not take into account Brazil’s temporary yellow fever vaccination requirements for incoming passengers from Angola and the Democratic Republic of the Congo during the 2016 outbreak.

Notes: Travel was estimated using our base scenario which considered international travellers arriving from airports within areas where WHO recommended yellow fever vaccination and all airports within 200 km of such areas.Tabulated data reflects cities depicted in Figure 4.

Fig. 5.

Population of yellow fever-suitable cities, by travel vaccination policy, 2016

Notes: In total, there were 472 yellow fever-suitable cities in 54 countries. A yellow-fever-suitable city was ecologically suitable for yellow fever virus transmission but was not located in a yellow fever-endemic area, which was defined as an area where the World Health Organization recommended yellow fever vaccination. In the urban scenario (see main text for details), there were six fewer yellow fever-suitable cities than in the base scenario: Satna, India (population 0.31 million); Ibb, Yemen (population 0.45 million); Al Hudaydah, Yemen (population 0.57 million); Taiz, Yemen (population 0.69 million); Aden, Yemen (population 0.88 million); and Sana’a, Yemen (population 2.7 million).

Fig. 5

Table 4. Top 50 yellow fever suitable destinations, by population, of international air travellers from areas or cities where yellow fever was endemic, by city population, 2016.

Destination city, country or territory,a by rankb Populationc Proof of yellow fever vaccination required upon arrivald Non-holoendemic countrye
From yellow fever-endemic countries only From any country
1. New Delhi; India 25 703 168 Yes No No
2. São Paulo, Brazil 21 066 245 No No Yes
3. Mumbai, India 21 042 538 Yes No No
4. Cairo, Egypt 18 771 769 Yes No No
5. Dhaka, Bangladesh 17 598 228 Yes No No
6. Karachi, Pakistan 16 617 644 Yes No No
7. Kolkata, India 14 864 919 Yes No No
8. Manila, Philippines 12 946 263 Yes No No
9. Guangzhou, China 12 458 130 Yes No No
10. Shenzhen, China 10 749 473 Yes No No
11. Jakarta, Indonesia 10 323 142 Yes No No
12. Bangalore, India 10 087 132 Yes No No
13. Lima, Peru 9 897 033 No No Yes
14. Chennai, India 9 890 427 Yes No No
15. Bangkok, Thailand 9 269 823 Yes No No
16. Hyderabad, India 8 943 523 Yes No No
17. Lahore, Pakistan 8 741 365 Yes No No
18. Dongguan, China 7 434 935 Yes No No
19. Ahmadabad, India 7 342 850 Yes No No
20. Hong Kong SAR, China 7 313 557 No No No
21. Ho Chi Minh City, Viet Nam 7 297 780 Yes No No
22. Foshan, China 7 035 945 Yes No No
23. Kuala Lumpur, Malaysia 6 836 911 Yes No No
24. Miami, United States 5 817 221 No No No
25. Pune, India 5 727 530 Yes No No
26. Surat, India 5 650 011 Yes No No
27. Singapore, Singapore 5 618 866 Yes No No
28. Khartoum, Sudan 5 129 358 Yes No Yes
29. Dar es Salaam, United Republic of Tanzania 5 115 670 Yes No No
30. Guadalajara, Mexico 4 843 241 No No No
31. Yangon, Myanmar 4 801 930 Yes No No
32. Chittagong, Bangladesh 4 539 393 Yes No No
33. Monterrey, Mexico 4 512 572 No No No
34. Xiamen, China 4 430 081 Yes No No
35. Jiddah, Saudi Arabia 4 075 803 Yes No No
36. Shantou, China 3 948 813 Yes No No
37. Fortaleza, Brazil 3 880 202 No No Yes
38. Recife, Brazil 3 738 526 No No Yes
39. Zhongshan, China 3 691 360 Yes No No
40. Hà Noi, Viet Nam 3 629 493 Yes No No
41. Faisalabad, Pakistan 3 566 952 Yes No No
42. Curitiba, Brazil 3 473 681 No No Yes
43. Jaipur, India 3 460 701 Yes No No
44. Fuzhou, China 3 282 932 Yes No No
45. Nanning, China 3 234 379 Yes No No
46. Lucknow, India 3 221 817 Yes No No
47. Wenzhou, China 3 207 846 Yes No No
48. Kanpur, India 3 020 795 Yes No No
49. Sana'a', Yemen 2 961 934 No No No
50. Santo Domingo, Dominican Republic 2 945 353 No No No

SAR: Special Administrative Region.

a Destination cities in these countries and territories were ecologically suitable for yellow fever virus transmission but were not in yellow fever-endemic areas.

b Cities were ranked according to urban population size.

c We obtained population data from United Nations’ World Urbanization Prospects.22

d We did not take into account Brazil’s temporary yellow fever vaccination requirements for incoming passengers from Angola and the Democratic Republic of the Congo during the 2016 outbreak.

e Non-holoendemic countries have subnational areas that are at risk of yellow fever transmission as defined by the WHO and CDC Yellow Book. Cities listed in this table are not located within the YF extent of non-holoendemic countries.

Notes: Travel was estimated using our base scenario which considered international travellers arriving from airports within areas where WHO recommended yellow fever vaccination and all airports within 200 km of such areas.Tabulated data reflects cities depicted in Figure 5.

Discussion

The 2016 yellow fever epidemic in Angola and the associated exportation of cases into urban areas of China exposed shortcomings in existing yellow fever travel vaccination policies and practices. As a holoendemic country, Angola has a policy that requires all international travellers to provide proof of yellow fever vaccination upon arrival. In addition, China has the same requirement for travellers arriving from yellow fever-endemic countries. Yet both lines of defence failed, leading to the first cases of imported yellow fever in Asia. Recent research has confirmed the role played by air travel between Angola and China in increasing the risk of importing the disease.28 This event illustrates that urban areas that have never experienced yellow fever transmission, or have not experienced it in modern times, are increasingly susceptible to epidemics. We elected to study the travel conduits that could facilitate the international spread of yellow fever virus into the world’s cities.

First, our analysis revealed that 89% of travellers departing from yellow fever-endemic areas for yellow fever-endemic cities in other countries (both holoendemic and non-holoendemic) in 2016 were required to provide proof of vaccination upon arrival. This high proportion presumably reflects countries’ desire to protect themselves against importation of yellow fever virus. To reduce the risk of importation, and of the consequent potential for domestic transmission and of possible exportation of yellow fever virus, these countries should focus on implementing existing yellow fever travel vaccination policies effectively. However, some travellers may purchase counterfeit international vaccination certificates,29 which makes this line of defence potentially fallible. Second, we found that less than 35% of travellers departing yellow fever-endemic areas for cities that appeared suitable for yellow fever transmission, were required to provide proof of vaccination upon arrival. Countries that did not require proof of yellow fever vaccination might have assumed that the historical absence of yellow fever was predictive of its future absence. In other instances, nationally implemented vaccination policies may be obfuscated because only a small geographical area within a country may be ecologically suitable for yellow fever transmission; for example, the 9.5 million United States’ residents who live in five urban areas that appear suitable for yellow fever transmission represent less than 3% of the country’s population. Nonetheless, countries should carefully consider whether the risk of yellow fever virus importation and subsequent domestic transmission warrants a change to existing yellow fever travel vaccination policies or practices. Of note, administering yellow fever vaccine at national ports of entry to individuals who do not hold a record of vaccination will increase immunity among susceptible travellers but will not prevent importation of the virus by travellers who are already infected. Third, we found that less than 25% of travellers who departed from areas of the world where yellow fever was not endemic for yellow fever-endemic cities were required to provide proof of vaccination upon arrival. This reveals a policy gap in protecting international travellers against becoming infected and subsequently exporting the virus. This low proportion may reflect the absence of national incentives because countries with entry requirements for yellow fever vaccination are protecting international travellers and the global community without realizing any domestic benefit.

Although broader use of yellow fever vaccine by international travellers could limit dispersion of the virus and reduce the risk of urban epidemics, its use in non-epidemic settings must be carefully weighed against the risk of vaccine-associated neurological and viscerotropic events. Infants younger than 9 months, adults aged 60 years and older and individuals with thymus disorders and weakened immune systems are at an elevated risk of these potentially life-threatening events.30 Furthermore, if international changes in vaccination policy and practice are implemented and enforced, travellers could face difficulties accessing yellow fever vaccine, given current diminished stocks and constrained manufacturing capacity. Even though an estimated 50 million vaccine doses were produced in 2017,11 a new yellow fever epidemic in a populated urban centre could readily deplete global emergency vaccine stockpiles.

We made several important assumptions in our analysis. First, we assumed that the risk of yellow fever virus dispersion across all yellow fever-endemic areas of the world was uniform, because we were not attempting to model the spread of the virus out of a particular geographical area that was experiencing epizootic or epidemic activity. Rather, our goal was to describe global pathways via which the yellow fever virus could disseminate to trigger epidemics in the world’s cities, thereby identifying crucial gaps in existing yellow fever travel vaccination policies and practices. Since the potential for international dispersion of the virus out of rural areas presumably differs from that out of urban areas, our urban scenario focused solely on travellers departing airports in or immediately adjacent to cities in yellow fever-endemic areas. However, the recent case of a traveller who acquired a yellow fever virus infection in rural Suriname and then flew to the Netherlands indicates that there is still a risk of yellow fever exportation from rural areas.4

Our assumptions about the suitability of cities for yellow fever virus transmission were based on a global ecological model of dengue virus transmission. A recently published modelling analysis of suitability for yellow fever transmission globally predicted a similar pattern to the pattern of dengue suitability we assumed,31 especially in urbanized regions, which were the primary focus of our study. However, we may have overestimated the risk of yellow fever transmission in areas where dengue is known to be active but where Ae. albopictus rather than Ae. aegypti is the dominant vector (e.g. in China, Hong Kong Special Administrative Region). On the other hand, although Ae. aegypti is the primary vector for transmission of yellow fever virus, some studies have indicated that Ae. albopictus might also be a competent vector in nature.32 As our analysis focused on the importation of yellow fever virus into cities and ignored downstream transmission among non-human primates in rural sylvatic cycles, we believe our model of urban dengue suitability closely approximates suitability for yellow fever virus transmission.

Our model of dengue suitability represents an annualized view of potential yellow fever transmission. The model does not account for seasonal variability due to changing climatic conditions.33 Furthermore, we did not take into account seasonal patterns in local (i.e. urban–rural) or international travel despite the possibility that interactions between the ecological seasonality of yellow fever transmission and the seasonality of human mobility could influence the risk of yellow fever virus importation. In addition, we did not attempt to quantify variations in the intensity of transmission between tropical and subtropical climates or between industrialized and developing areas of the world. For example, because of differences in climate and the built environment,34 some cities in the southern United States have experienced sporadic transmission of dengue, chikungunya and Zika viruses, whereas cities in Latin America have experienced sustained and intense transmission of the same pathogens. Moreover, we did not attempt to estimate how the underlying level of population immunity influences the potential for epidemics. Although we presumed that populations in yellow fever-suitable cities would have negligible immunity to the yellow fever virus, we made no assumptions about immunity in yellow fever-endemic cities, because high-resolution data on yellow fever vaccination and natural infection were lacking. Lastly, we did not take into account Brazil’s temporary yellow fever vaccination requirements for travellers who came from Angola and the Democratic Republic of the Congo during the 2017 yellow fever outbreak and therefore categorized Brazil as not requiring proof of vaccination upon arrival from yellow fever-endemic countries.

With more than 3 billion domestic and international passengers now boarding commercial flights each year, humans have become the primary agents for the global spread of mosquito-borne viruses such as dengue, chikungunya, Zika and yellow fever. Our findings on yellow fever virus transmission provide countries with insights into contemporary vulnerabilities to international spread of the virus. Our goal was to help countries ensure that their policies and interventions to prevent, or to protect against, the international spread of yellow fever virus are commensurate with existing risks and avoid unnecessary interference with international traffic and trade, as per International Health Regulations (2005).35 At a time when global yellow fever vaccine supplies are diminished, an epidemic in a densely populated city could have substantial health and economic consequences. Hence, the global community needs to carefully re-examine existing yellow fever travel vaccination policies and practices to prevent urban epidemics.

Acknowledgements

We thank Kieran Petrasek at St. Michael's Hospital for significant help with our maps. MUGK is also affiliated to the Department of Zoology, University of Oxford, England and Harvard Medical School, Boston, USA; IIB is also affiliated to the Division of Infectious Diseases, Department of Medicine, University of Toronto, Canada; SIH is also affiliated to the Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, England; and KK is also affiliated to the Division of Infectious Diseases, Department of Medicine, University of Toronto, Canada.

Funding:

MUGK is supported by The Branco Weiss Fellowship - Society in Science and acknowledges funding from a Training Grant from the National Institute of Child Health and Human Development (T32HD040128) and the National Library of Medicine of the National Institutes of Health (R01LM010812, R01LM011965).

Competing interests:

KK is the founder of BlueDot, a social enterprise that develops digital technologies for public health. SEB, AW, MG, IIB, MIC and KK received employment or consulting income from BlueDot during this research.

References


Articles from Bulletin of the World Health Organization are provided here courtesy of World Health Organization

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