Clicky

Most recent
 Bovine TB in GB. Latest SAM data, maps and older VETNET data.
Added or updated one month ago
PDF icon is-culling-badgers-effective
Added or updated 4 months ago
 An example of how badger culling in the UK is being cast in a negative light
Added or updated 10 months ago
PDF icon number-of-badgers-removed-up-to-end-of-2022
Added or updated 11 months ago
 Bovine TB in the UK, England, Ireland, Wales and New Zealand
Added or updated one year ago
 Cattle movements and TB restricted herds
Added or updated one year ago
 Does badger culling make economic sense?
Added or updated one year ago
 Data needed to achieve meaningful results in the 2013 badger culls
Added or updated one year ago
 Badger cull thoroughness
Added or updated one year ago
 TB in Great Britain and Scotland
Added or updated one year ago
 A critique of the Randomised Badger Culling Trial (RBCT)
Added or updated one year ago
 Launch of farmer-led TB governance in New Zealand
Added or updated one year ago
 Bovine TB in Ireland
Added or updated one year ago
 Historical record of bovine TB in Ireland and Great Britain
Added or updated one year ago
 Did culling affect TB infection in badgers?
Added or updated one year ago
 Is specificity of the skin test over-estimated?
Added or updated one year ago
 Number of cattle tested and slaughtered
Added or updated one year ago
PDF icon european-badger-responses-to-low-intensity-selective-culling-Using-mark-recapture-and-relatedness-data-to-assess-social-perturbation
Added or updated 2 years ago
PDF icon jahresstrecke-dachse-2019-2020
Added or updated 3 years ago
PDF icon 3-steps-to-implement-a-bovine-TB-contingency-plan-farmers-weekly-11-feb-2021
Added or updated 3 years ago

Historical record of bovine TB in Ireland and Great Britain



Recent records of cattle slaughtered in Wales

Variable=$sql Value=
select
year as Year,
s.value as `Reactors slaughtered`,
c.wales*1000 as `Cattle`,
round(s.value/(c.wales*1000)*100,3) as `Prevalence (%)`,
'sam_2023_12_13 download,Ref 3' as `References`
from sam_2023_12_13 s
inner join cattle_and_calves c
using(year)
where s.month=0 and s.quantity = 'Reactors slaughtered' and area='Wales' and s.file like '%countries%' and year<2018
order by year asc
Variable=$debug Value=Array
(
    [0] => Array
        (
            [file] => C:\vhosts\bovinetb\common\functions.inc.php
            [line] => 4684
            [function] => reportEmptyRows
            [args] => Array
                (
                    [0] => 
select
year as Year,
s.value as `Reactors slaughtered`,
c.wales*1000 as `Cattle`,
round(s.value/(c.wales*1000)*100,3) as `Prevalence (%)`,
'sam_2023_12_13 download,Ref 3' as `References`
from sam_2023_12_13 s
inner join cattle_and_calves c
using(year)
where s.month=0 and s.quantity = 'Reactors slaughtered' and area='Wales' and s.file like '%countries%' and year<2018
order by year asc

                    [1] => Array
                        (
                        )

                )

        )

    [1] => Array
        (
            [file] => C:\vhosts\bovinetb\common\functions.inc.php
            [line] => 4630
            [function] => returnRows
            [args] => Array
                (
                    [0] => 
select
year as Year,
s.value as `Reactors slaughtered`,
c.wales*1000 as `Cattle`,
round(s.value/(c.wales*1000)*100,3) as `Prevalence (%)`,
'sam_2023_12_13 download,Ref 3' as `References`
from sam_2023_12_13 s
inner join cattle_and_calves c
using(year)
where s.month=0 and s.quantity = 'Reactors slaughtered' and area='Wales' and s.file like '%countries%' and year<2018
order by year asc

                )

        )

    [2] => Array
        (
            [file] => C:\vhosts\bovinetb\historical-record-of-bovine-tb-in-ireland-and-great-britain.php
            [line] => 45
            [function] => showQueryResults
            [args] => Array
                (
                    [0] => 
select
year as Year,
s.value as `Reactors slaughtered`,
c.wales*1000 as `Cattle`,
round(s.value/(c.wales*1000)*100,3) as `Prevalence (%)`,
'sam_2023_12_13 download,Ref 3' as `References`
from sam_2023_12_13 s
inner join cattle_and_calves c
using(year)
where s.month=0 and s.quantity = 'Reactors slaughtered' and area='Wales' and s.file like '%countries%' and year<2018
order by year asc

                )

        )

)