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Longitudinal study of small ruminant zoonoses in Tana River, Kenya

  1. ISVEE16 – Halifax, Canada 16th International Symposium of Veterinary Epidemiology and Economics (ISVEE 16) Connecting Animals, People, and their shared environments Longitudinal study of small ruminant zoonoses in Tana River, Kenya Martin Wainaina 1,2,3, *, Johanna F. Lindahl 3,4,5, Ian Dohoo 6, Anne Mayer-Scholl 1, Kristina Roesel 2,3, Deborah Mbotha 2,3, Uwe Roesler 7, Delia Grace 3,8, Bernard Bett 3 and Sascha Al Dahouk 1,9 1. German Federal Institute for Risk Assessment; 2. Department of Veterinary Medicine, Freie Universität Berlin; 3. International Livestock Research Institute; 4. Uppsala University; 5. Swedish University of Agricultural Sciences; 6. University of Prince Edward Island; 7. Institute for Animal Hygiene and Environmental Health, Freie Universität Berlin; 8. Natural Resources Institute, University of Greenwich; 9. RWTH Aachen University Hospital 22nd International Symposium of Veterinary Epidemiology and Economics Halifax, Canada, 11 August 2022
  2. ISVEE16 – Halifax, Canada Introduction Wainaina et al., PLoS Neg. Trop. Dis., 2022 • Many infectious diseases causing febrile disease in Africa • Major problem with diagnostic capabilities • Many of them zoonotic
  3. ISVEE16 – Halifax, Canada Introduction 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 % patients Top 50 fever agents in Eastern Africa Wainaina et al., PLoS Neg. Trop. Dis., 2022
  4. ISVEE16 – Halifax, Canada Environmental changes Climate changes Direct effects on vector capacity More precipitation gives more breeding grounds. Increased hatching of desiccated eggs. Higher temperature gives shorter extrinsic incubation periods. Shorter mosquito life cycles. Mosquitoes more susceptible to infection. Effects on host availability Droughts make more intense concentrations of livestock and wildlife at waterholes. Less vegetation force pastoralists to herd longer distances and get further into forest or riverine areas. Land-use changes Effects on vectors Irrigation and dams provide breeding habitats Effects on hosts Increased livestock densities. Reduced biodiversity reduces the dilution effect of non-host animals. More farmed land moves pastoralists to less suitable areas. Changes & disease
  5. ISVEE16 – Halifax, Canada FAO STATS, 2022 Land-use changes More and more range lands in Africa are being converted to crop lands through irrigation to alleviate food insecurity Results: major trade-offs in ecosystem services • More food produced (provisioning services) at the expense of biodiversity and regulatory services (disease, flooding, erosion) 0.1 0.2 0.3 0.4 0.5 1960 1980 2000 2020 year percent Agricultural land equipped for irrigation
  6. ISVEE16 – Halifax, Canada FAO STATS, 2022 Changes in livestock production Kenya is experiencing increases in both goat and sheep production Sheep Fresh whole milk production (tonnes) Sheep Meat production (tonnes) Goat Fresh whole milk production (tonnes) Goat Meat production (tonnes) 1960 1980 2000 2020 1960 1980 2000 2020 20000 40000 60000 80000 20000 40000 60000 80000 1e+05 2e+05 20000 40000 60000 year value
  7. ISVEE16 – Halifax, Canada What is prioritized? Munyua et al., PLoS One, 2015 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Normalized Final Scores Decreasing priority rank
  8. ISVEE16 – Halifax, Canada What is being studied in Kenya? 0 10 20 1960 1980 2000 2020 Year Count Agent Brucella Coxiella Leptospira PubMed search hits of Brucella/Leptospira/Coxiella AND Kenya
  9. ISVEE16 – Halifax, Canada Moreno, Front. Microbiol., 2014; Atluri, Annu. Rev. Microbiol., 2011 Brucellosis
  10. ISVEE16 – Halifax, Canada Ko et al., Nat. Rev. Microbiol., 2019 Leptospirosis
  11. ISVEE16 – Halifax, Canada Cutler, Lancet Infect. Dis., 2002 Q-fever (coxiellosis) Caused by Coxiella burnetii
  12. ISVEE16 – Halifax, Canada Objectives Estimating seroprevalence and incidence rates in small ruminants in Kenya • Survey methods that consider sampling weights and multistage nature of sampling. Identifying risk factors for seropositivity and seroconversion • Also with survey weighting. • Seasonal variations of seroconversions.
  13. ISVEE16 – Halifax, Canada Tana River County Indian Ocean Somalia Ethiopia South Sudan Uganda Tanzania Wikipedia Study area
  14. ISVEE16 – Halifax, Canada Initial cross-sectional study • 3 sites (8 villages) – purposive • 37 households – random • 316 small ruminants – random • 228 (72.2%) goats • 88 (27.9%) sheep • Longitudinal study • 247 animals followed up • 55 were lost to follow-up • Replaced by 69 animals 6 visits Mbotha, Transbound. Emerg. Dis., 2017 Data collected • Animal data age, sex, species, herd size, reproductive status, site, household Study design
  15. ISVEE16 – Halifax, Canada Whole blood/ Serum Leptospira spp. Whole blood LipL32 qPCR Serum MAT testing Brucella spp. Serum Parallel IS711 and bcsp31 qPCR Parallel RBT and IgG ELISA. CFT confirmation Coxiella burnetii Serum IS1111 qPCR IgG ELISA Lab testing
  16. ISVEE16 – Halifax, Canada • Results from first samples of animals only • Estimates adjusted for the complex survey design • Sample weights - inverse probability weights Total weights= Total households Households sampled ∗ Total small ruminants Small ruminants sampled • Multi-stage sampling Animal → Household → Village (PSUs) → Sites • Analysis on R environment. Survey package version 4.0 Data analysis - seroprevalence
  17. ISVEE16 – Halifax, Canada • Results from first samples of animals only. • All variables intervening when site is main exposure variable. • Complex survey design: sampling weights and multistage sampling • Co-exposure model for the three zoonoses. SI: Site; S: Sex; A/S: Age/Sex; HS: Herd size; RS: Reproductive Status; Z: Seropositivity Data analysis – Risk factors
  18. ISVEE16 – Halifax, Canada • Survey-weighted Poisson regression models. • Risk factors for seroconversions – not done because of few seroconversions per primary sampling unit Data analysis – Seroconversions
  19. ISVEE16 – Halifax, Canada Weighted seroprevalence Category Variable Positives Total % (95% CI) SE Coxiella burnetii Total 66 316 34.6 (24.3–47.0) 4.7 Site Irrigated 34 139 24.1 (7.9–54.0) 9.3 Pastoral 25 69 38.7 (17.4–65.0) 8.2 Riverine 7 108 4.4 (1.87–10.0) 1.7 Leptospira spp. Total † 48 313 15.3 (11.6–20.0) 1.7 Site Irrigated 15 138 17.2 (6.8–37.0) 5.8 Pastoral 8 68 13.9 (5.3–32.0) 4.0 Riverine 25 107 26.9 (15.5–42.0) 6.2 Brucella spp. Total 4 316 - - Site Irrigated 3 139 - - Pastoral 0 69 - - Riverine 1 108 - - † Three animals removed from analyses (doubtful MAT results and lost to follow-up)
  20. ISVEE16 – Halifax, Canada Odds Ratio Agent Variable Estimate Lower 95% CI Upper 95% CI SE p-Value Coxiella burnetii Riverine Ref. Irrigated 6.83 2.58 18.06 0.50 0.01 Pastoral 13.61 13.61 13.61 0.00 0.00 Observations = 316; Pseudo-R² (McFadden) = 0.05 Leptospira spp. Irrigated Ref. Pastoral 0.78 0.36 1.70 0.40 0.56 Riverine 1.77 0.81 3.88 0.40 0.21 Observations = 313 †; Pseudo-R² (McFadden) = 0.01 † Three animals removed from analyses (doubtful MAT results and lost to follow-up) Total effect of site
  21. ISVEE16 – Halifax, Canada Dependant variable Independent variables † Odds ratio 95% CI SE p-Value Leptospira spp. Coxiella burnetii 2.52 2.29-2.77 0.05 0.00 Brucella spp. 1.52 0.06-41.23 1.68 0.82 Coxiella burnetii Leptospira spp. 2.51 2.28-2.77 0.05 0.00 Brucella spp. 3.62 0.27-48.91 1.33 0.40 Brucella spp. Coxiella burnetii 3.80 0.40-36.08 1.15 0.33 Leptospira spp. 1.56 0.05-52.28 1.79 0.82 † All three survey-weighted models included site as well Co-exposure to zoonoses
  22. ISVEE16 – Halifax, Canada Incidence per 100 animal- months at risk 95% Confidence Intervals Leptospira spp. Overall 1.8 1.3–2.5 Goat 1.8 1.2–2.6 Sheep 1.8 1.4–2.4 Coxiella burnetii Overall 1.3 0.7–2.3 Goat 1.3 0.7–2.3 Sheep 1.3 0.6–3.1 Brucella spp. Overall 0 - Goat - - Sheep - - Serological incidence rates
  23. ISVEE16 – Halifax, Canada Seroconversions with time
  24. ISVEE16 – Halifax, Canada [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] 32 33 34 35 36 37 38 39 40 41 Sep 2014 Oct 2014 Nov 2014 Dec 2014 Jan 2015 Feb 2015 Mar 2015 Jun 2015 Quantification cycle (Cq) value Months with no Cq values were negative Animal 102 (Brucella spp.) Animal 115 (Brucella spp.) Animal 370 (Brucella spp.) Animal 48 (Brucella spp.) Animal 75 (C. burnetii) PCR detection Labels “pos” and “neg” represent serology results
  25. ISVEE16 – Halifax, Canada 0 5 10 15 20 25 30 35 Number of animals positive at first sampling Leptospiral serovars
  26. ISVEE16 – Halifax, Canada Leptospiral serovars Changes in agglutinating serovars in animals (n=11)
  27. ISVEE16 – Halifax, Canada Irrigation and pastoralism are risk factors for spread of coxiellosis. Control (e.g. vaccination, properly composting manure, rodent control) is needed. Co-exposure to multiple pathogens. Need for integrated disease surveillance and control. Need for systematic disease prioritization of animal diseases in Kenya. Conclusions
  28. ISVEE16 – Halifax, Canada Link to full open-access publication → https://doi.org/10.3390/microorganisms10081546
  29. THANK YOU

Editor's Notes

  1. Wainaina, Martin, et al. "A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa." PLoS Neglected Tropical Diseases 16.1 (2022): e0010144.
  2. Wainaina, Martin, et al. "A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa." PLoS Neglected Tropical Diseases 16.1 (2022): e0010144.
  3. Production data on Kenya were retrieved from FAO STATS, under Crops and livestock products in the Production domain on 21st July, 2022 (https://www.fao.org/faostat/en/#data/QCL)
  4. Production data on Kenya were retrieved from FAO STATS, under Crops and livestock products in the Production domain on 21st July, 2022 (https://www.fao.org/faostat/en/#data/QCL)
  5. Munyua, Peninah, et al. "Prioritization of zoonotic diseases in Kenya, 2015." PLoS One 11.8 (2016): e0161576.
  6. Searches were done on PubMed (https://pubmed.ncbi.nlm.nih.gov/) on 20th July, 2022. Search terms were: ("brucella"[MeSH Terms] OR "brucella"[All Fields] OR "brucellae"[All Fields]) AND ("kenya"[MeSH Terms] OR "kenya"[All Fields] OR "kenya s"[All Fields]) ("leptospira"[MeSH Terms] OR "leptospira"[All Fields] OR "leptospirae"[All Fields] OR "leptospiras"[All Fields]) AND ("kenya"[MeSH Terms] OR "kenya"[All Fields] OR "kenya s"[All Fields]) ("coxiella"[MeSH Terms] OR "coxiella"[All Fields] OR "coxiellae"[All Fields]) AND ("kenya"[MeSH Terms] OR "kenya"[All Fields] OR "kenya s"[All Fields])
  7. Moreno, Edgardo. "Retrospective and prospective perspectives on zoonotic brucellosis." Frontiers in Microbiology 5 (2014): 213. Atluri, Vidya L., et al. "Interactions of the human pathogenic Brucella species with their hosts." Annual Review of Microbiology 65.1 (2011): 523-541. Ko, Albert I., Cyrille Goarant, and Mathieu Picardeau. "Leptospira: the dawn of the molecular genetics era for an emerging zoonotic pathogen." Nature Reviews Microbiology 7.10 (2009): 736-747. Cutler, Sally J., Paiba, Giles A., Howells, Julian, Morgan, Kenton L. “Q fever — a forgotten disease?” The Lancet Infectious Diseases 2.12 (2002): 717-718
  8. Moreno, Edgardo. "Retrospective and prospective perspectives on zoonotic brucellosis." Frontiers in Microbiology 5 (2014): 213. Atluri, Vidya L., et al. "Interactions of the human pathogenic Brucella species with their hosts." Annual Review of Microbiology 65.1 (2011): 523-541. Ko, Albert I., Cyrille Goarant, and Mathieu Picardeau. "Leptospira: the dawn of the molecular genetics era for an emerging zoonotic pathogen." Nature Reviews Microbiology 7.10 (2009): 736-747. Cutler, Sally J., Paiba, Giles A., Howells, Julian, Morgan, Kenton L. “Q fever — a forgotten disease?” The Lancet Infectious Diseases 2.12 (2002): 717-718
  9. Moreno, Edgardo. "Retrospective and prospective perspectives on zoonotic brucellosis." Frontiers in Microbiology 5 (2014): 213. Atluri, Vidya L., et al. "Interactions of the human pathogenic Brucella species with their hosts." Annual Review of Microbiology 65.1 (2011): 523-541. Ko, Albert I., Cyrille Goarant, and Mathieu Picardeau. "Leptospira: the dawn of the molecular genetics era for an emerging zoonotic pathogen." Nature Reviews Microbiology 7.10 (2009): 736-747. Cutler, Sally J., Paiba, Giles A., Howells, Julian, Morgan, Kenton L. “Q fever — a forgotten disease?” The Lancet Infectious Diseases 2.12 (2002): 717-718
  10. Mbotha, D., et al. "Inter‐epidemic Rift Valley fever virus seroconversions in an irrigation scheme in Bura, south‐east Kenya." Transboundary and Emerging Diseases 65.1 (2018): e55-e62.
  11. SI: Site; S: Sex; A/S: Age/Sex; HS: Herd size; RS: Reproductive Status; Z: Seropositivity Causal diagram created on DAGitty® (http://www.dagitty.net)
  12. Only seroprevalence data used (animals at first sampling).
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