G K BrinkDurban, South Africa,

South African Society of Travel Medicine.

www.sastm.org.za

Conflict of Interests

SASTM Project Manager

Convenor, Travel Health

Africa, September 2016

www.sastm.org.za

Little, if any, data are available

on travellers and encounters with

travel health providers

To provide appropriate advice knowledge

of traveller demographics is important

Recording of information can be

painstaking and is prone to error

An on-line system that captures

information and provides monthly

reports would be ideal

Through the SaNTHNet platform, a

Vaccine Electronic Record System

was developed to meet these needs

Vaccine electronic record system(VERS)

Rationale

How it operates

Results

Limitations

Future developments

A brief overview of VERS is

necessary so as to understand the

data

The form provides easy capturing of

data

Let’s examine the

results from January

to 31 October 2015

Traveller demographicsN = 7694

2699

4950

0

1000

2000

3000

4000

5000

6000

Female Male

35%

65%

578658

813712 743

900969

908

718650

0

200

400

600

800

1000

1200

Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Travellers

Age distribution1% 1% 2% 3%

22%

29%

21%

14%

6%

1% 0%

1 2-5 6-12 13-19 20-29 30-39

40-49 50-59 60-69 70-79 80-89

20 - 29

30 - 39

50 - 59

40 - 49

Reason for travelAid worker/missionary 181Business 5005Ecotourism 38Expatriate 91Leisure 2509Sport participation 69Sporting event 43Student 93Visiting friends and relatives 202Voluntourism 25Pilgrimage Muslim 9Pilgrimage Christian 9PilgrimageOther 10

824

1664 1633

404

194 15659 36 25

208 177

49

2220

0

500

1000

1500

2000

2500

Duration of travel

Average days to departure

17

974578

5084

1648

Group

Organised

Single

Spouse

61%

20% 12%

7%

Travelling companion

Destinations

780

675602

443398 381 369 360

324

242 214 198

0100200300400500600700800900

Africa: 65%

Vaccinations

YELLOW FEVER

Administered 5786Declined 8Waiver certificate 3

Other vaccinationsN= 3098

1050

769669

0

200

400

600

800

1000

1200

Diphtheria, Polio,Pertussis, Tetanus

Typhoid MeningitisACW135Y

34% 25%22%

Malaria chemoprophylaxisN=2965

No %

Atovaquone/proguanil 1936 65

Doxycycline 561 19

Mefloquine 468 16

Total 2965

Monthly chemoprophylaxis trend

224259

282312 313

350383

365

244 233

0

50

100

150

200

250

300

350

400

450

Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Monthly trend: travellers and malaria chemoprophylaxis

0

200

400

600

800

1000

1200

Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Travellers

Malariachemo

0

2

4

6

8

10

12

14

Jan Feb Mar Apr May Jun Jul Aug Sep Oct

Travellers

Chemo

Monthly trend: travellers and malaria chemoprophylaxis

But there are limitations

Limited users

Private sector only

Missing travellers

Booster vaccinations

Mostly YF vaccination

Capturing of data twice

Further developments are in the

pipeline

To include booster vaccinations

To provide information on the returning traveller

To integrate with other systems

To expand into the public sector

Conclusion

Definite benefits

Distinct limitations (at present)

Future development

Acknowledgements

SASTM Executive

The clinics who are using the system

The developer, Shaun Janke

Sanofi pasteur for the unconditional grant for SaNTHnet

Marion Blewett for her support

www.sastm.org.za

Guiding the Profession

Protecting the Public