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   In 2006,First EUS outbreak in Africa & Zambezi River
    System (ZRS) was reported (FAO, 2009).

   Biodiversity of the Fishery was threatened and posing
    Food insecurity to 700,000 people (FAO, 2009).

   Rapid study conducted was too late for anything else
    other than impact assessment (Samui et al., 2007)

   In 2007, Fish samples confirmed EUS positive
    (Aphanomyces invadans)……Thailand
   Further surveillance in 2007, estimated EUS infection
    rate at 50% whereas by 2008, it was 5% (FAO, 2009).

   Observation implies decreasing disease intensity with
    time.

   Seasonal outbreaks have persisted and not much
    epidemiological research carried out to adequately
    elucidate factors associated with EUS outbreaks in the
    ZRS
   Investigate and understand the Epidemiology of EUS on
     fish in the Zambezi River System of Zambia.

Specific Objectives
1. Determine Env. & Bio. risk factors associated with
   EUS outbreak in the ZRS of Zambia.
2. Determine the infection rate and severity of EUS on
   fish spp of the ZRS in Zambia.
3. Determine the spatial distribution of EUS in the ZRS of
  Zambia.
   An active surveillance and participatory epidemiology
     was used for data collection (Corsin,2007).

   Collection of Env. & Fish Data was done btn Jan 2011
    through Jan 2012 from Sesheke District-Zambia

   Five (5) Sampling sites chosen; Main river, Backwaters,
    Tributary, Lagoon & Non-affected area
   Environmental Data collected ;

    Water Temp, Ambient Temp, DO2 ,Water pH,
    Total alkalinity, Salinity, NH3, NO3- , No2-, waterflow,
    waterlevel- site & month of sampling.
        - Multiparameter water quality Checker
        - Analytical methods

   Rainfall data for 10 previous yrs collected
Biological factors;
   At least 320 fish sampled per site using a 12mm
    meshed seine net for 3 seasons-(Feb,June & Oct)

   Presumptive diagnosis for lesions done.

Suspect Fish formalinised (10%)- EUS confirmation at
UNZA.
Infection Rate and Severity of EUS
    A total of 4,800 fish were sampled and Gross examined
     for EUS infection- proportion determined.

     Severity characterised




    0- Lesion absent,   1- Red spot, (mild)   2- Deep ulcers ( severe), 3- Healing (Recovery)
EUS Distribtion
 Active   surveillance
 Participatory epidemiology
   - 350 fishers from 7 Districts along ZRS of Zambia
        interviewed-checklist.
    - fish specimen formalinised (10%)

   GPS (NAVI 1300) used for mapping coordinates of
    EUS +ve stations and Districts
PCA extraction method


                  Components                   1                  2
   Factor          1        2       3
                                             Month             A temp
  site
                                           T alkalinity       Water temp
                   -.099   -.093   .833
  Ambien temp      .113    .944    .105
  Waterflow        -.467   .334    .452
  Waterlevel       -.937   -.236   -.091
  Water temp       -.483   .839    .012
  Oxygen           .169    -.912   -.086
                                                      3
                                                     Site
  Water pH         .111    -.507   .614

                                                   Water pH
  Ammonia          .895    .189    .085
  Nitrite          -.174   .682    -.145
  Nitrate          .023    -.273   -.425
  Salinity         .890    .232    -.026
  Totalkalinity    .903    .369    .029
  Month            .909    -.162   .059
Environmental factors
Logistic Regression Analysis ; Sig. Test (ap<0.05) and measures of association with disease.


   Env. Cue             Sample #     Mean         S.e         Sig a             Meas ure
                                                                                  of
                                                                           association with
                                                                             EUS Disease
   Month                 321        6.028        0.1861      0.003         0.922

   Site                  321        2.996        0.0790      0.049         0.604
   Amb. Temperature      321        25.85        0.3058      0.04          0.906
   Water Temperature     321        20.94        0.2173      0.02          0.889
   Water pH              321        6.4          0.0199      0.016         0.782
   Total alkalinity      321        45.13        0.0418      0.007         0.743
Rainfall                                           A 10 year rainfall patern for Sesheke district
                              1200
                                                                                                                                                                                     JUL RF
                              1000                                                                                                                                                   AUG RF

                                                                                                                                                                                     SEP RF
           Rainfall-RF (mm)    800
                                                                                                                                                                                     OCT RF
                               600                                                                                                                                                   NOV RF

                                                                                                                                                                                     DEC RF
                               400
                                                                                                                                                                                     JAN RF

                               200                                                                                                                                                   FEB RF

                                                                                                                                                                                     MAR RF
                                 0
                                                                                                                                                                                     APR RF
                                     1999/2000
                                                 2000/2001
                                                             2001/2002
                                                                         2002/2003
                                                                                     2003/2004
                                                                                                 2004/2005
                                                                                                             2005/2006
                                                                                                                         2006/2007
                                                                                                                                     2007/2008
                                                                                                                                                 2008/2009
                                                                                                                                                             2009/2010
                                                                                                                                                                         2010/2011
                                                                                                                                                                                     MAY RF

                                                                                                                                                                                     JUN RF

                                                                                                                                                                                        TOTAL RF
                                                                                                    years
Infection rate
.
    Infection    Mycotic gran.          Healing
        144                                                    not affected
                             58
                                                  86


                                                                              4,656
                                                       4,800
                 144              144

     4,800


       3%                1.2%
                                         1.79%                     97%
                       EUS +Ve
   EUS infection on fish showed no size nor species
    specificity

   However, of the 15 species sampled Brycinus lateralis,
    Serranochromis robustus and Sargochromis giardii
    were found more susceptible to EUS than other species.
Disease Severity

 Mild infections
 Red spots- across spp
 Healing wounds          Brycinus lateralis with lesion

 No mortalities




                         Histopathology of EUS-infected
                         Brycinus lateralis



                                                          15
EUS DISTRIBUTION IN ZRS OF ZAMBIA
   M
       M

       M

       M


       M

           M
Participatory        epidemiology: Fishers’ opinion

   EUS outbreaks have occurred every year since 2006
    affecting most fish spps.
   Outbreaks occur every year in their local fishing areas.
   EUS often occurs in lagoons & oxbow lakes not close to
    the main river.
   Fish-eating birds and reptiles such as crocodiles might be
    transmiting the disease from one place to another.
   Floods play a vital role in disease spread.
   EUS was associated with low temperature and occurred
    after periods of heavy rain.

                                                             17
Research implicates a combination of env. factors preceded by rains that compromised the
    aquatic environment……….


Control of EUS in wild is difficult but……
   - Water quality-Application of agricultural lime in lagoons and oxbow
   - Bio-security-Restriction on trans-boundary fish stock transfers
   - Regional cooperation- share research outputs, focus more on
     preventing disease spread to non affected areas.
    - Health and safety- EUS infected fish should not be eaten
   - Warning alarm -Rainfall higher than 500mm will lead to flooding
   - Capacity building- Epidemiologists to carry out countrywide
     surveillance
Corsin F.,2007. Surveillance system for Epizootic Ulcerative Syndrome in
Southern Africa

 FAO, 2009. Report of the international emergency disease investigation task
force on a serious fish disease in Southern Africa, 18-26 May
2007, FAO, Rome, Italy, 70pp.

FAO, 2009. What you need to know about epizootic ulcerative syndrome
(EUS)- An extension brochure. Rome, Italy.

Samui K.L., Hangombe B, Choongo K., Syachaba M and Phiri H, 2007.
Report on the field expedition to assess the possible causes of the general fish
kill in western Province from 18th september to 1st October 2007. 29pp.
School of Veterinary Medicine, University of Zambia.
Thank you




            20

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Epidemiology of Epizootic Ulcerative Syndrome (EUS) in the Zambezi River System of Zambia

  • 1. 1
  • 2. In 2006,First EUS outbreak in Africa & Zambezi River System (ZRS) was reported (FAO, 2009).  Biodiversity of the Fishery was threatened and posing Food insecurity to 700,000 people (FAO, 2009).  Rapid study conducted was too late for anything else other than impact assessment (Samui et al., 2007)  In 2007, Fish samples confirmed EUS positive (Aphanomyces invadans)……Thailand
  • 3. Further surveillance in 2007, estimated EUS infection rate at 50% whereas by 2008, it was 5% (FAO, 2009).  Observation implies decreasing disease intensity with time.  Seasonal outbreaks have persisted and not much epidemiological research carried out to adequately elucidate factors associated with EUS outbreaks in the ZRS
  • 4. Investigate and understand the Epidemiology of EUS on fish in the Zambezi River System of Zambia. Specific Objectives 1. Determine Env. & Bio. risk factors associated with EUS outbreak in the ZRS of Zambia. 2. Determine the infection rate and severity of EUS on fish spp of the ZRS in Zambia. 3. Determine the spatial distribution of EUS in the ZRS of Zambia.
  • 5. An active surveillance and participatory epidemiology was used for data collection (Corsin,2007).  Collection of Env. & Fish Data was done btn Jan 2011 through Jan 2012 from Sesheke District-Zambia  Five (5) Sampling sites chosen; Main river, Backwaters, Tributary, Lagoon & Non-affected area
  • 6. Environmental Data collected ; Water Temp, Ambient Temp, DO2 ,Water pH, Total alkalinity, Salinity, NH3, NO3- , No2-, waterflow, waterlevel- site & month of sampling. - Multiparameter water quality Checker - Analytical methods  Rainfall data for 10 previous yrs collected
  • 7. Biological factors;  At least 320 fish sampled per site using a 12mm meshed seine net for 3 seasons-(Feb,June & Oct)  Presumptive diagnosis for lesions done. Suspect Fish formalinised (10%)- EUS confirmation at UNZA.
  • 8. Infection Rate and Severity of EUS  A total of 4,800 fish were sampled and Gross examined for EUS infection- proportion determined.  Severity characterised 0- Lesion absent, 1- Red spot, (mild) 2- Deep ulcers ( severe), 3- Healing (Recovery)
  • 9. EUS Distribtion  Active surveillance  Participatory epidemiology - 350 fishers from 7 Districts along ZRS of Zambia interviewed-checklist. - fish specimen formalinised (10%)  GPS (NAVI 1300) used for mapping coordinates of EUS +ve stations and Districts
  • 10. PCA extraction method Components 1 2 Factor 1 2 3 Month A temp site T alkalinity Water temp -.099 -.093 .833 Ambien temp .113 .944 .105 Waterflow -.467 .334 .452 Waterlevel -.937 -.236 -.091 Water temp -.483 .839 .012 Oxygen .169 -.912 -.086 3 Site Water pH .111 -.507 .614 Water pH Ammonia .895 .189 .085 Nitrite -.174 .682 -.145 Nitrate .023 -.273 -.425 Salinity .890 .232 -.026 Totalkalinity .903 .369 .029 Month .909 -.162 .059
  • 11. Environmental factors Logistic Regression Analysis ; Sig. Test (ap<0.05) and measures of association with disease. Env. Cue Sample # Mean S.e Sig a Meas ure of association with EUS Disease Month 321 6.028 0.1861 0.003 0.922 Site 321 2.996 0.0790 0.049 0.604 Amb. Temperature 321 25.85 0.3058 0.04 0.906 Water Temperature 321 20.94 0.2173 0.02 0.889 Water pH 321 6.4 0.0199 0.016 0.782 Total alkalinity 321 45.13 0.0418 0.007 0.743
  • 12. Rainfall A 10 year rainfall patern for Sesheke district 1200 JUL RF 1000 AUG RF SEP RF Rainfall-RF (mm) 800 OCT RF 600 NOV RF DEC RF 400 JAN RF 200 FEB RF MAR RF 0 APR RF 1999/2000 2000/2001 2001/2002 2002/2003 2003/2004 2004/2005 2005/2006 2006/2007 2007/2008 2008/2009 2009/2010 2010/2011 MAY RF JUN RF TOTAL RF years
  • 13. Infection rate . Infection Mycotic gran. Healing 144 not affected 58 86 4,656 4,800 144 144 4,800 3% 1.2% 1.79% 97% EUS +Ve
  • 14. EUS infection on fish showed no size nor species specificity  However, of the 15 species sampled Brycinus lateralis, Serranochromis robustus and Sargochromis giardii were found more susceptible to EUS than other species.
  • 15. Disease Severity  Mild infections Red spots- across spp Healing wounds Brycinus lateralis with lesion No mortalities Histopathology of EUS-infected Brycinus lateralis 15
  • 16. EUS DISTRIBUTION IN ZRS OF ZAMBIA M M M M M M
  • 17. Participatory epidemiology: Fishers’ opinion  EUS outbreaks have occurred every year since 2006 affecting most fish spps.  Outbreaks occur every year in their local fishing areas.  EUS often occurs in lagoons & oxbow lakes not close to the main river.  Fish-eating birds and reptiles such as crocodiles might be transmiting the disease from one place to another.  Floods play a vital role in disease spread.  EUS was associated with low temperature and occurred after periods of heavy rain. 17
  • 18. Research implicates a combination of env. factors preceded by rains that compromised the aquatic environment………. Control of EUS in wild is difficult but…… - Water quality-Application of agricultural lime in lagoons and oxbow - Bio-security-Restriction on trans-boundary fish stock transfers - Regional cooperation- share research outputs, focus more on preventing disease spread to non affected areas. - Health and safety- EUS infected fish should not be eaten - Warning alarm -Rainfall higher than 500mm will lead to flooding - Capacity building- Epidemiologists to carry out countrywide surveillance
  • 19. Corsin F.,2007. Surveillance system for Epizootic Ulcerative Syndrome in Southern Africa FAO, 2009. Report of the international emergency disease investigation task force on a serious fish disease in Southern Africa, 18-26 May 2007, FAO, Rome, Italy, 70pp. FAO, 2009. What you need to know about epizootic ulcerative syndrome (EUS)- An extension brochure. Rome, Italy. Samui K.L., Hangombe B, Choongo K., Syachaba M and Phiri H, 2007. Report on the field expedition to assess the possible causes of the general fish kill in western Province from 18th september to 1st October 2007. 29pp. School of Veterinary Medicine, University of Zambia.
  • 20. Thank you 20

Editor's Notes

  1. Fish died en massi posing threats on the biodiversity and food security, FAO in collaboration with UNZA
  2. 6 years now there has been a seasonal recurrence of the disease and in my opinion together with my mentors.
  3. Five sites chosen on basis of fishing activities
  4. From the Five sites A vandorn sampler was used to sample water between 0- 5m, For the fish seine used
  5. Structured questionaire used for further EUS information.
  6. No mortality observed
  7. Sites with EUS positive samples were captured using GPS cordinates
  8. PCA- to reduce 13 environmental parameters to manageable size
  9. Significance of each parameter significant and therefore implicated
  10. Besides the physical and chemical parameters, Outbreaks were preceded by heavy rains
  11. Diagonised and 144 were infected representing a proportion of 3%
  12. Catfish were also affected but are more resilient
  13. Generally was mildShowing typical mycotic granulomas surrounding invasive fungal hyphae ( black arrow) penetrating into muscle layer (H&amp;E stain).
  14. Was curious to note that Zambezi river basin is surrounded by a web of other Rivers..........what is the implication
  15. Although control of EUS in the wild is difficult,…..lime to enhance water quality