Age stratified animal-level seroprevalence based on raw test results (not adjusted for clustering within herds or diagnostic test imperfections).

Herd-level interpretation of test results for epidemiologic studies of animal diseases

Correct classification of the true status of herds is an important component of epidemiologic studie...

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, based on models with an age-constant force of infection.

Clarence C. Tam (378980)
Megan O’Driscoll (5924684)
Anne-Frieda Taurel (655558)
Joshua Nealon (2993298)
Sri Rezeki Hadinegoro (437305)

November 2018

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, b...

Age-stratified patterns of reactors in Great Britain.

Andrew J. K. Conlan (114901)
Ellen Brooks Pollock (126485)
Trevelyan J. McKinley (113745)
Andrew P. Mitchell (114903)
Gareth J. Jones (216608)
Martin Vordermeier (108962)
James L. N. Wood (111001)

February 2015

A The relative risk of infection by age RR(a) measured relative to the risk for 0–1 year o...

Distribution by animal age (in years) of the total number of tests carried out (primary axis; filled) and the number of positive results returned (secondary axis; no fill) during bovine tuberculosis-breakdowns.

S. C. Ring (6335705)
D. C. Purfield (6335708)
M. Good (6335711)
P. Breslin (6335714)
E. Ryan (6335717)
A. Blom (6335720)
R. D. Evans (6335723)
M. L. Doherty (6335726)
D. G. Bradley (6335729)
D. P. Berry (6335732)

February 2019

Distribution by animal age (in years) of the total number of tests carried out (primary axis; filled...

Age-specific sensitivities and proportion of cows with pro- and anti-inflammatory responses.

Søren Saxmose Nielsen (408030)
Nils Toft (176314)
Hisako Okura (408031)

April 2013

Shaded area illustrates 95% point specific confidence interval of sensitivities. The proportion o...

Proportion of sampled animals per age group, related to species and study site.

Marieke Klaasen (509275)
Hendrik-Jan Roest (299303)
Wim van der Hoek (53746)
Bart Goossens (409760)
Arss Secka (509276)
Arjan Stegeman (199275)

January 2014

Proportion of sampled animals per age group, related to species and study site.</p

Stratification by age of patients with non-protective antibodies titer (HBAb<10 IU/mL, non-responder, NR) for each time of the study (T1, T6, T12).

Vania Giacomet (4853929)
Michela Masetti (4853926)
Pilar Nannini (4853923)
Federica Forlanini (4853932)
Mario Clerici (34848)
Gian Vincenzo Zuccotti (4246570)
Daria Trabattoni (34837)

February 2018

Stratification by age of patients with non-protective antibodies titer (HBAb<10 IU/mL, non-respon...

Distribution of ELISA positives among cases and non-cases in different age-groups.

Søren Saxmose Nielsen (408030)
Nils Toft (176314)
Hisako Okura (408031)

April 2013

1Age in years.One randomly selected observation from each cow was used.</p

Unadjusted bivariate analysis of CCHF seropositivity and animal demographics.

Luke Nyakarahuka (410291)
Jackson Kyondo (4911460)
Carson Telford (12248407)
Amy Whitesell (3434897)
Alex Tumusiime (4911457)
Sophia Mulei (3226566)
Jimmy Baluku (10271324)
Caitlin M. Cossaboom (12189887)
Deborah L. Cannon (17364623)
Joel M. Montgomery (7486064)
Julius J. Lutwama (4427176)
Stuart T. Nichol (8067341)
Stephen K. Balinandi (14599588)
John D. Klena (10141224)
Trevor R. Shoemaker (5172365)

November 2023

Unadjusted bivariate analysis of CCHF seropositivity and animal demographics.</p

Test based classification of individual animals ordered by apparent within-herd seroprevalance and model based estimate of the date of last infection in the herd.

Ian G. Handel (212138)
Kim Willoughby (165257)
Fiona Land (348555)
Bronwyn Koterwas (348556)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. deC. Bronsvoort (348559)

February 2013

Individual animal results are shown as tiles, blue for negative and red for positive. Multiple an...

The herd-level sensitivities (HSe) for each of the three infections over a range of true seroprevalences assuming a perfect test specificity.

Francesca Scolamacchia (367665)
Ian G. Handel (212138)
Eric M. Fèvre (125784)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. de C. Bronsvoort (212135)

February 2013

The herd-level sensitivities (HSe) for each of the three infections over a range of true seroprev...

Demographical characteristics, symptoms and measles serology confirmation results by age group.

Ndongo Dia (544177)
Ameth Fall (743676)
Rouguiyatou Ka (743677)
Amary Fall (743678)
David E. Kiori (743679)
Deborah G. Goudiaby (743680)
Aichatou D. Fall (743681)
El Hadj Abdourahmane Faye (743682)
Annick Dosseh (743683)
Kader Ndiaye (743684)
Ousmane M. Diop (76173)
Mbayame Nd. Niang (743685)

May 2015

Demographical characteristics, symptoms and measles serology confirmation results by age group.</...

Age distribution in target and sample populations.

Karolina Brunius Enlund (6263912)
Carl Brunius (5465534)
Jeanette Hanson (468469)
Ragnvi Hagman (256721)
Odd Viking Höglund (6263915)
Pia Gustås (4219120)
Ann Pettersson (5617280)

January 2019

Age distribution in target (dog owners registered in the Swedish Board of Agricultures register) and...

Caterpillar plots showing the estimated adjusted and unadjusted within-herd seroprevalence for each of the 142 herds based only on juvenile data, the 95% highest density intervals (HDI) for the adjusted seroprevalences and the probability that each herd is seropositive.

Ian G. Handel (212138)
Kim Willoughby (165257)
Fiona Land (348555)
Bronwyn Koterwas (348556)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. deC. Bronsvoort (348559)

February 2013

Herds are ordered along the x axis based on the estimated within-herd seroprevalence.</p

Mean detection of each biomarker in horses based on age.

Jennifer Hope Roberts (16548590)
Jian Zhang (1682)
Florent David (7932980)
Amy McLean (16548593)
Karen Blumenshine (16548596)
Eva Müller-Alander (16548599)
Jaroslava Halper (16548602)

July 2023

A. Mean biomarker detection through IHC based on horse age (controls only). Blue bar = ages 5–10 yea...

Herd-level interpretation of test results for epidemiologic studies of animal diseases

Correct classification of the true status of herds is an important component of epidemiologic studie...

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, based on models with an age-constant force of infection.

Clarence C. Tam (378980)
Megan O’Driscoll (5924684)
Anne-Frieda Taurel (655558)
Joshua Nealon (2993298)
Sri Rezeki Hadinegoro (437305)

November 2018

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, b...

Age-stratified patterns of reactors in Great Britain.

Andrew J. K. Conlan (114901)
Ellen Brooks Pollock (126485)
Trevelyan J. McKinley (113745)
Andrew P. Mitchell (114903)
Gareth J. Jones (216608)
Martin Vordermeier (108962)
James L. N. Wood (111001)

February 2015

A The relative risk of infection by age RR(a) measured relative to the risk for 0–1 year o...

Distribution by animal age (in years) of the total number of tests carried out (primary axis; filled) and the number of positive results returned (secondary axis; no fill) during bovine tuberculosis-breakdowns.

S. C. Ring (6335705)
D. C. Purfield (6335708)
M. Good (6335711)
P. Breslin (6335714)
E. Ryan (6335717)
A. Blom (6335720)
R. D. Evans (6335723)
M. L. Doherty (6335726)
D. G. Bradley (6335729)
D. P. Berry (6335732)

February 2019

Distribution by animal age (in years) of the total number of tests carried out (primary axis; filled...

Age-specific sensitivities and proportion of cows with pro- and anti-inflammatory responses.

Søren Saxmose Nielsen (408030)
Nils Toft (176314)
Hisako Okura (408031)

April 2013

Shaded area illustrates 95% point specific confidence interval of sensitivities. The proportion o...

Proportion of sampled animals per age group, related to species and study site.

Marieke Klaasen (509275)
Hendrik-Jan Roest (299303)
Wim van der Hoek (53746)
Bart Goossens (409760)
Arss Secka (509276)
Arjan Stegeman (199275)

January 2014

Proportion of sampled animals per age group, related to species and study site.</p

Stratification by age of patients with non-protective antibodies titer (HBAb<10 IU/mL, non-responder, NR) for each time of the study (T1, T6, T12).

Vania Giacomet (4853929)
Michela Masetti (4853926)
Pilar Nannini (4853923)
Federica Forlanini (4853932)
Mario Clerici (34848)
Gian Vincenzo Zuccotti (4246570)
Daria Trabattoni (34837)

February 2018

Stratification by age of patients with non-protective antibodies titer (HBAb<10 IU/mL, non-respon...

Distribution of ELISA positives among cases and non-cases in different age-groups.

Søren Saxmose Nielsen (408030)
Nils Toft (176314)
Hisako Okura (408031)

April 2013

1Age in years.One randomly selected observation from each cow was used.</p

Unadjusted bivariate analysis of CCHF seropositivity and animal demographics.

Luke Nyakarahuka (410291)
Jackson Kyondo (4911460)
Carson Telford (12248407)
Amy Whitesell (3434897)
Alex Tumusiime (4911457)
Sophia Mulei (3226566)
Jimmy Baluku (10271324)
Caitlin M. Cossaboom (12189887)
Deborah L. Cannon (17364623)
Joel M. Montgomery (7486064)
Julius J. Lutwama (4427176)
Stuart T. Nichol (8067341)
Stephen K. Balinandi (14599588)
John D. Klena (10141224)
Trevor R. Shoemaker (5172365)

November 2023

Unadjusted bivariate analysis of CCHF seropositivity and animal demographics.</p

Test based classification of individual animals ordered by apparent within-herd seroprevalance and model based estimate of the date of last infection in the herd.

Ian G. Handel (212138)
Kim Willoughby (165257)
Fiona Land (348555)
Bronwyn Koterwas (348556)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. deC. Bronsvoort (348559)

February 2013

Individual animal results are shown as tiles, blue for negative and red for positive. Multiple an...

The herd-level sensitivities (HSe) for each of the three infections over a range of true seroprevalences assuming a perfect test specificity.

Francesca Scolamacchia (367665)
Ian G. Handel (212138)
Eric M. Fèvre (125784)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. de C. Bronsvoort (212135)

February 2013

The herd-level sensitivities (HSe) for each of the three infections over a range of true seroprev...

Demographical characteristics, symptoms and measles serology confirmation results by age group.

Ndongo Dia (544177)
Ameth Fall (743676)
Rouguiyatou Ka (743677)
Amary Fall (743678)
David E. Kiori (743679)
Deborah G. Goudiaby (743680)
Aichatou D. Fall (743681)
El Hadj Abdourahmane Faye (743682)
Annick Dosseh (743683)
Kader Ndiaye (743684)
Ousmane M. Diop (76173)
Mbayame Nd. Niang (743685)

May 2015

Demographical characteristics, symptoms and measles serology confirmation results by age group.</...

Age distribution in target and sample populations.

Karolina Brunius Enlund (6263912)
Carl Brunius (5465534)
Jeanette Hanson (468469)
Ragnvi Hagman (256721)
Odd Viking Höglund (6263915)
Pia Gustås (4219120)
Ann Pettersson (5617280)

January 2019

Age distribution in target (dog owners registered in the Swedish Board of Agricultures register) and...

Caterpillar plots showing the estimated adjusted and unadjusted within-herd seroprevalence for each of the 142 herds based only on juvenile data, the 95% highest density intervals (HDI) for the adjusted seroprevalences and the probability that each herd is seropositive.

Ian G. Handel (212138)
Kim Willoughby (165257)
Fiona Land (348555)
Bronwyn Koterwas (348556)
Kenton L. Morgan (348557)
Vincent N. Tanya (348558)
Barend M. deC. Bronsvoort (348559)

February 2013

Herds are ordered along the x axis based on the estimated within-herd seroprevalence.</p

Mean detection of each biomarker in horses based on age.

Jennifer Hope Roberts (16548590)
Jian Zhang (1682)
Florent David (7932980)
Amy McLean (16548593)
Karen Blumenshine (16548596)
Eva Müller-Alander (16548599)
Jaroslava Halper (16548602)

July 2023

A. Mean biomarker detection through IHC based on horse age (controls only). Blue bar = ages 5–10 yea...

Herd-level interpretation of test results for epidemiologic studies of animal diseases

Correct classification of the true status of herds is an important component of epidemiologic studie...

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, based on models with an age-constant force of infection.

Clarence C. Tam (378980)
Megan O’Driscoll (5924684)
Anne-Frieda Taurel (655558)
Joshua Nealon (2993298)
Sri Rezeki Hadinegoro (437305)

November 2018

Proportion of clusters expected to reach seroprevalence levels of 50%, 70% and 90% by year of age, b...

Age-stratified patterns of reactors in Great Britain.

Andrew J. K. Conlan (114901)
Ellen Brooks Pollock (126485)
Trevelyan J. McKinley (113745)
Andrew P. Mitchell (114903)
Gareth J. Jones (216608)
Martin Vordermeier (108962)
James L. N. Wood (111001)

February 2015

A The relative risk of infection by age RR(a) measured relative to the risk for 0–1 year o...

Age stratified animal-level seroprevalence based on raw test results (not adjusted for clustering within herds or diagnostic test imperfections).

Abstract

Extracted data

Age stratified animal-level seroprevalence based on raw test results (not adjusted for clustering within herds or diagnostic test imperfections).

Abstract

Extracted data

Related items

Related items