Spatial structure of the background odds in acquiring BTV.

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, A.R.W.
Boender, G.-J.
Rogers, D.J.
Heesterbeek, J.A.P.

September 2009

Geographical maps indicating the value of the basic reproduction number, R0, can be used to identify...

The change in spatial predictability for 6 pathogens plotted over time for outbreaks introduced to districts with a range of population densities.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, R.
Boender, G.J.
Rogers, D.J.
Heesterbeek, J.A.P.

January 2009

Geographical maps indicating the value of the basic reproduction number, R 0 , can be used to identi...

Odds of BT transmission within and between municipalities and through cattle movement.

Chellafe Ensoy (482801)
Marc Aerts (262679)
Sarah Welby (482802)
Yves Van der Stede (457611)
Christel Faes (413583)

November 2013

The top 3(A, B and C) gives the temporal trend of the contributions of each model component to th...

Mean daily basic reproduction number for June to September 2010.

Katharina Brugger (396756)
Franz Rubel (396757)

April 2013

The different maps represent the spatio-temporal distribution of the potential risk for a BTV out...

Spatiotemporal disease mapping applied to infectious diseases

Coly, Sylvain
Garrido, Myriam
Abrial, David
Yao-Lafourcade, Anne-Françoise

June 2015

National audienceDisease mapping aims to determine the underlying disease risk scattered from health...

Spatiotemporal Disease Mapping Applied to Infectious Diseases

Coly, Sylvain
Charras-Garrido, Myriam
Abrial, David
Yao-Lafourcade, Anne-Françoise

December 2015

AbstractDisease mapping aims to determine the underlying disease risk scattered from health data. Th...

Spatial distribution of the farms affected plus buffer areas of the first 11 foci identified during the BTV-1 epidemic in Andalusia in 2007.

S. Napp (2559307)
A. Allepuz (2559292)
B. V. Purse (2559295)
J. Casal (2559304)
I. García-Bocanegra (2559298)
L. E. Burgin (2559301)
K. R. Searle (2559310)

March 2016

Spatial distribution of the farms affected plus buffer areas of the first 11 foci identified duri...

Change in spatial predictability depending on the number of destination locations that are predicted to have disease importation.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

The left figure shows the theoretical change in spatial predictability for a travel network with one...

A schematic overview of the process of predicting spatial disease risk.

Simon I. Hay (82582)
Dylan B. George (140638)
Catherine L. Moyes (140627)
John S. Brownstein (34004)

April 2013

The definitive extent of infectious disease occurrence at the national level (red is certa...

Spatial EB smoothed map of the prevalence of HIV/HCV co-infection by township.

Yi-Biao Zhou (545121)
Qi-Xing Wang (545122)
Song Liang (69505)
Yu-Han Gong (545123)
Mei-xia Yang (545124)
Shi-Jiao Nie (545125)
Lei Nan (545126)
Ai-Hui Yang (545127)
Qiang Liao (545128)
Yang Yang (45629)
Xiu-Xia Song (545129)
Qing-Wu Jiang (472820)

March 2014

Spatial EB smoothed map of the prevalence of HIV/HCV co-infection by township.</p

Epidemiological analysis of the 2006 bluetongue virus serotype 8 epidemic in north-western Europe, A risk map for epidemic potential in the Netherlands

Koeijer, A., de
Hartemink, N.
Boender, G.J.
Elbers, A.R.W.
Hesterbeek, J.A.P.

January 2007

One of the most important aspects of vector-borne infections is the strong influence of weather and ...

Predictability of spatial spread for a range of R0 and generation time values and the change in spatial predictability over time for 7 pathogens.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...

Spatial patterns of BT outbreaks in livestock at the municipality level during 2003–2012 according to the predictions from the autoregressive models.

Cristina Lorca-Oró (320856)
Jorge Ramón López-Olvera (320862)
Francisco Ruiz-Fons (52768)
Pelayo Acevedo (52767)
Ignacio García-Bocanegra (138758)
Álvaro Oleaga (579661)
Christian Gortázar (52769)
Joan Pujols (320857)

June 2014

Independent patterns for each BTV serotype are shown. Number of seropositive/analysed samples by ...

MAP spatial distribution.

Gianluigi Rossi (3709225)
Giulio A. De Leo (150408)
Stefano Pongolini (3709228)
Silvano Natalini (161634)
Luca Zarenghi (3709231)
Matteo Ricchi (3709234)
Luca Bolzoni (273163)

January 2017

Spatial distribution of the infection state of farms by Mycobacterium avium subsp. para...

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, A.R.W.
Boender, G.-J.
Rogers, D.J.
Heesterbeek, J.A.P.

September 2009

Geographical maps indicating the value of the basic reproduction number, R0, can be used to identify...

The change in spatial predictability for 6 pathogens plotted over time for outbreaks introduced to districts with a range of population densities.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, R.
Boender, G.J.
Rogers, D.J.
Heesterbeek, J.A.P.

January 2009

Geographical maps indicating the value of the basic reproduction number, R 0 , can be used to identi...

Odds of BT transmission within and between municipalities and through cattle movement.

Chellafe Ensoy (482801)
Marc Aerts (262679)
Sarah Welby (482802)
Yves Van der Stede (457611)
Christel Faes (413583)

November 2013

The top 3(A, B and C) gives the temporal trend of the contributions of each model component to th...

Mean daily basic reproduction number for June to September 2010.

Katharina Brugger (396756)
Franz Rubel (396757)

April 2013

The different maps represent the spatio-temporal distribution of the potential risk for a BTV out...

Spatiotemporal disease mapping applied to infectious diseases

Coly, Sylvain
Garrido, Myriam
Abrial, David
Yao-Lafourcade, Anne-Françoise

June 2015

National audienceDisease mapping aims to determine the underlying disease risk scattered from health...

Spatiotemporal Disease Mapping Applied to Infectious Diseases

Coly, Sylvain
Charras-Garrido, Myriam
Abrial, David
Yao-Lafourcade, Anne-Françoise

December 2015

AbstractDisease mapping aims to determine the underlying disease risk scattered from health data. Th...

Spatial distribution of the farms affected plus buffer areas of the first 11 foci identified during the BTV-1 epidemic in Andalusia in 2007.

S. Napp (2559307)
A. Allepuz (2559292)
B. V. Purse (2559295)
J. Casal (2559304)
I. García-Bocanegra (2559298)
L. E. Burgin (2559301)
K. R. Searle (2559310)

March 2016

Spatial distribution of the farms affected plus buffer areas of the first 11 foci identified duri...

Change in spatial predictability depending on the number of destination locations that are predicted to have disease importation.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

The left figure shows the theoretical change in spatial predictability for a travel network with one...

A schematic overview of the process of predicting spatial disease risk.

Simon I. Hay (82582)
Dylan B. George (140638)
Catherine L. Moyes (140627)
John S. Brownstein (34004)

April 2013

The definitive extent of infectious disease occurrence at the national level (red is certa...

Spatial EB smoothed map of the prevalence of HIV/HCV co-infection by township.

Yi-Biao Zhou (545121)
Qi-Xing Wang (545122)
Song Liang (69505)
Yu-Han Gong (545123)
Mei-xia Yang (545124)
Shi-Jiao Nie (545125)
Lei Nan (545126)
Ai-Hui Yang (545127)
Qiang Liao (545128)
Yang Yang (45629)
Xiu-Xia Song (545129)
Qing-Wu Jiang (472820)

March 2014

Spatial EB smoothed map of the prevalence of HIV/HCV co-infection by township.</p

Epidemiological analysis of the 2006 bluetongue virus serotype 8 epidemic in north-western Europe, A risk map for epidemic potential in the Netherlands

Koeijer, A., de
Hartemink, N.
Boender, G.J.
Elbers, A.R.W.
Hesterbeek, J.A.P.

January 2007

One of the most important aspects of vector-borne infections is the strong influence of weather and ...

Predictability of spatial spread for a range of R0 and generation time values and the change in spatial predictability over time for 7 pathogens.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...

Spatial patterns of BT outbreaks in livestock at the municipality level during 2003–2012 according to the predictions from the autoregressive models.

Cristina Lorca-Oró (320856)
Jorge Ramón López-Olvera (320862)
Francisco Ruiz-Fons (52768)
Pelayo Acevedo (52767)
Ignacio García-Bocanegra (138758)
Álvaro Oleaga (579661)
Christian Gortázar (52769)
Joan Pujols (320857)

June 2014

Independent patterns for each BTV serotype are shown. Number of seropositive/analysed samples by ...

MAP spatial distribution.

Gianluigi Rossi (3709225)
Giulio A. De Leo (150408)
Stefano Pongolini (3709228)
Silvano Natalini (161634)
Luca Zarenghi (3709231)
Matteo Ricchi (3709234)
Luca Bolzoni (273163)

January 2017

Spatial distribution of the infection state of farms by Mycobacterium avium subsp. para...

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, A.R.W.
Boender, G.-J.
Rogers, D.J.
Heesterbeek, J.A.P.

September 2009

Geographical maps indicating the value of the basic reproduction number, R0, can be used to identify...

The change in spatial predictability for 6 pathogens plotted over time for outbreaks introduced to districts with a range of population densities.

John R. Giles (11084573)
Derek AT Cummings (11256166)
Bryan T. Grenfell (7377548)
Andrew J. Tatem (7417688)
Elisabeth zu Erbach-Schoenberg (11256169)
CJE Metcalf (5773388)
Amy Wesolowski (105098)

August 2021

The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...

Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus

Hartemink, N.A.
Purse, B.V.
Meiswinkel, R.
Brown, H.E.
de Koeijer, A.
Elbers, R.
Boender, G.J.
Rogers, D.J.
Heesterbeek, J.A.P.

January 2009

Geographical maps indicating the value of the basic reproduction number, R 0 , can be used to identi...

Spatial structure of the background odds in acquiring BTV.

Abstract

Extracted data

Spatial structure of the background odds in acquiring BTV.

Abstract

Extracted data

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