Slaughterhouse workers as sentinels of zoonotic disease

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Slaughterhouse Zoonoses Slaughterhouse workers as sentinels of zoonotic disease E.A.J. Cook 1,2 , L.F. Thomas 1,2 , W.A. de Glanville 1,2 , B.M.D.Bronsvoort 3 , S. Kariuki 4 and E.M. Fèvre 1,2 Slaughterhouse workers are high risk for zoonoses due to contact with animals Slaughterhouse workers may act as reservoirs of zoonotic organisms Workers are often first exposed in zoonotic disease outbreaks No previous studies in Kenya investigating zoonoses in slaughterhouse workers Background Materials and methods 1Centre for Infectious Diseases and Centre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, West Mains Rd, Edinburgh, EH9 3JT UK 2International Livestock Research Institute (ILRI), Old Naivasha Road, PO Box, 30709-00100, Nairobi, Kenya 3Epidemiology, Economics and Risk Assessment Group, The Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK 4Centre for Microbiology Research, Kenya Medical Research Institute PO Box 54840 , 00100, Nairobi, Kenya Objective Determine exposure to zoonoses in slaughterhouse workers Outcomes Prevalence of zoonoses Risk factors associated with carriage Study site 45km radius from Busia, Kenya 142 slaughter- houses 738 slaughter- house workers Sampling Questionnaire - Risk factors - Knowledge of zoonoses Blood Faeces Sample analysis Blood smear Faecal exam Q fever Brucellosis Cysticercosis Rift Valley Fever Leptospirosis Data analysis Logistic regression - odds ratios for risk factors to zoonotic pathogens Resultsto date Disease % 95% CI Malaria n=738 15 12-18 Schistosomiasis n=698 5 3-7 Hookworm n=698 31 28-34 HIV Type 1 n=500 12 9-15 Cysticercosis n=338 1 0-2 Brucellosis n=338 0 0 Thanks to the MRC, Wellcome Trust, ILRI and the University of Edinburgh for supporting this work Key findings Workers with secondary education are more aware of zoonoses OR=1.9 95%CI=1.22, 2.93 Chi-squared=9.37 1 d.f. P= 0.00 Workers with knowledge of zoonoses are more likely to wear protective clothing OR=1.92 95%CI=1.31, 2.86 Chi-squared=12.08 1 d.f. P=0.0 Workers that appear drunk are more likely to have an open wound OR=3.14 95%CI=1.5, 6.23, Chi-squared=12.79 1 d.f. P=0.00 Workers that slaughter sick animals are also more likely to eat at work OR=1.7 95%CI=1.01, 2.78 Chi-squared=4.82, 1 d.f., P=0.03 Knowledge and practices n=738 % Knowledge of zoonoses 31 Protective clothing worn 52 Eat at the slaughterhouse 20 Slaughter sick animals 17 Appeared drunk at interview 11 Had an open wound 8 Conclusions and Future plans Hygiene in slaughterhouses in western Kenya is poor A number of risk factors for zoonotic disease exposure are identified Workers have high prevalence of endemic disease Serology testing for zoonoses will be completed in July 2013 Results will be compared to seroprevalence in the general population Fig 1 Map of slaughterhouses in study area in western Kenya

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Poster by E.A.J. Cook, L.F. Thomas, W.A. de Glanville, B.M.D. Bronsvoort, S. Kariuki and E.M. Fèvre presented at the Australasian Society for Infectious Diseases (ASID) annual scientific meeting, Canberra, Australia, 20-23 March 2013.

Transcript of Slaughterhouse workers as sentinels of zoonotic disease

Page 1: Slaughterhouse workers as sentinels of zoonotic disease

Slaughterhouse Zoonoses Slaughterhouse workers as sentinels of zoonotic disease

E.A.J. Cook1,2, L.F. Thomas1,2, W.A. de Glanville1,2, B.M.D.Bronsvoort3, S. Kariuki4 and E.M. Fèvre1,2

Slaughterhouse workers are high risk for zoonoses due to contact with animals

Slaughterhouse workers may act as reservoirs of zoonotic organisms

Workers are often first exposed in zoonotic disease outbreaks

No previous studies in Kenya investigating zoonoses in slaughterhouse workers

Background

Materials and methods

1Centre for Infectious Diseases and Centre for Immunity,

Infection and Evolution, University of Edinburgh, Ashworth

Laboratories, West Mains Rd, Edinburgh, EH9 3JT UK

2International Livestock Research Institute (ILRI),

Old Naivasha Road, PO Box, 30709-00100,

Nairobi, Kenya

3Epidemiology, Economics and Risk Assessment

Group, The Roslin Institute, University of Edinburgh,

Easter Bush, EH25 9RG, UK

4Centre for Microbiology Research,

Kenya Medical Research Institute

PO Box 54840 , 00100, Nairobi, Kenya

Objective Determine exposure to

zoonoses in slaughterhouse workers

Outcomes Prevalence of zoonoses

Risk factors associated

with carriage

Study site 45km radius from

Busia, Kenya 142 slaughter-

houses

738 slaughter-

house workers

Sampling Questionnaire

- Risk factors - Knowledge of

zoonoses

Blood

Faeces

Sample analysis Blood smear

Faecal exam

Q fever

Brucellosis

Cysticercosis

Rift Valley Fever

Leptospirosis

Data analysis Logistic regression

- odds ratios for

risk factors to zoonotic pathogens

Results—to date

Disease % 95% CI

Malaria n=738 15 12-18

Schistosomiasis n=698 5 3-7

Hookworm n=698 31 28-34

HIV Type 1 n=500 12 9-15

Cysticercosis n=338 1 0-2

Brucellosis n=338 0 0

Thanks to the MRC, Wellcome Trust, ILRI and the University of Edinburgh for supporting this work

Key findings

Workers with secondary education are more aware of zoonoses OR=1.9 95%CI=1.22, 2.93 Chi-squared=9.37 1 d.f. P= 0.00

Workers with knowledge of zoonoses are more likely to wear protective

clothing OR=1.92 95%CI=1.31, 2.86 Chi-squared=12.08 1 d.f. P=0.0

Workers that appear drunk are more

likely to have an open wound OR=3.14 95%CI=1.5, 6.23, Chi-squared=12.79 1 d.f. P=0.00

Workers that slaughter sick animals

are also more likely to eat at work OR=1.7 95%CI=1.01, 2.78 Chi-squared=4.82, 1 d.f., P=0.03

Knowledge and practices n=738 %

Knowledge of zoonoses 31

Protective clothing worn 52

Eat at the slaughterhouse 20

Slaughter sick animals 17

Appeared drunk at interview 11

Had an open wound 8

Conclusions and Future plans Hygiene in slaughterhouses in western Kenya is poor

A number of risk factors for zoonotic disease exposure are identified

Workers have high prevalence of endemic disease

Serology testing for zoonoses will be completed in July 2013

Results will be compared to seroprevalence in the general population

Fig 1 Map of slaughterhouses in study area in western Kenya