Model predictions of timelines to achieve 1% mf prevalence and corresponding information metrics.

The predicted prevalence (%) from three models.

Lingling Zhou (548817)
Lijing Yu (572161)
Ying Wang (11406)
Zhouqin Lu (614452)
Lihong Tian (614453)
Li Tan (157486)
Yun Shi (172065)
Shaofa Nie (116294)
Li Liu (75607)

August 2014

Note: The 2009–2012 values are predicted using modelling data 1956–2008.The 2013–2016 valu...

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence intervals.

Julian C. Evans (5013503)
Sasha R. X. Dall (155660)
Caitlin R. Kight (6166958)

December 2018

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence i...

Estimates of fixed effects coefficients and performance metrics for the prediction models.

Lauri Lovén (6312335)
Virve Karsisto (6312338)
Heikki Järvinen (473510)
Mikko J. Sillanpää (133635)
Teemu Leppänen (6312341)
Ella Peltonen (6312344)
Susanna Pirttikangas (6312347)
Jukka Riekki (6312350)

February 2019

Estimates of fixed effects coefficients and performance metrics for the prediction models.</p

Predictions of timelines to achieve 1% mf in Villupuram district, India, considering extended post-MDA data.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

Predictions of timelines to achieve 1% mf in Villupuram district, India, considering extended post-M...

Schematic diagram showing the sequential fitting procedure for updating models and predictions by incorporating longitudinal data.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

In all scenarios, the initial EPIFIL models were initialized with parameter priors and a chi-square ...

EPIFIL predictions of timelines to achieve 1% mf prevalence in Dokan Tofa, Nigeria.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

EPIFIL predictions of timelines to achieve 1% mf prevalence in Dokan Tofa, Nigeria.</p

Predicted annual disease cases from the final model (M5) together with the observed/reported number of cases.

Claudio Jose Struchiner (3155610)
Joacim Rocklöv (296647)
Annelies Wilder-Smith (496355)
Eduardo Massad (227441)

August 2015

Predicted annual disease cases from the final model (M5) together with the observed/reported numb...

Pooled predictions of the timelines to reach 1% mf from three LF models.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

The shaded regions show the weighted 95% percentile interval from the composite predictions of all t...

Prediction performance promotion percentages between the proposed model and other models.

Wancheng Huang (17873571)
Yuan Tian (225002)

January 2024

Prediction performance promotion percentages between the proposed model and other models.</p

Onset timing accuracy and number of forecasts predicting any onset by predicted onset week.

Sarah C. Kramer (6407927)
Jeffrey Shaman (252813)

March 2019

Onset timing accuracy and number of forecasts predicting any onset by predicted onset week.</p

Comparison of model-predicted timelines from model-only simulations and the lowest entropy simulations in each site.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

The boxplots show that by calibrating the models to data streams, more precise predictions are able ...

Maps of the MaxEnt predicted distributions of CFA prevalence categories.

Enala T. Mwase (525440)
Anna-Sofie Stensgaard (337609)
Mutale Nsakashalo-Senkwe (525441)
Likezo Mubila (39599)
James Mwansa (525442)
Peter Songolo (525443)
Sheila T. Shawa (525444)
Paul E. Simonsen (364386)

February 2014

(A) The heatmap values represent the relative probabilities of presence of LF with at least 5%, C...

Predictive values according to estimated prevalence before (top) and after (bottom) threshold optimization.

Christophe Courdurie (4169665)
Yohann Le Govic (4169659)
Pascale Bourhy (32303)
Dorothee Alexer (4169662)
Karine Pailla (4169668)
Rafaelle Theodose (389511)
Raymond Cesaire (4169671)
Jacques Rosine (389519)
Patrick Hochedez (389514)
Claude Olive (389512)

June 2017

Predictive values according to estimated prevalence before (top) and after (bottom) threshold opt...

The relationship between the time window size and the effectiveness of prediction model.

Jinliang Yao (17138102)
Zhipeng Cai (63661)
Zheng Qian (10940844)
Bing Yang (142278)

October 2023

The relationship between the time window size and the effectiveness of prediction model.</p

Model estimates of relative log(SM) levels and the corresponding ratios of change between the sampling time points.

Daniel C. Müller (6672416)
Anna Kauppi (6672419)
Alicia Edin (847450)
Åsa Gylfe (675514)
Anders B. Sjöstedt (6672422)
Anders Johansson (18368)

May 2019

Model estimates of relative log(SM) levels and the corresponding ratios of change between the sampli...

The predicted prevalence (%) from three models.

Lingling Zhou (548817)
Lijing Yu (572161)
Ying Wang (11406)
Zhouqin Lu (614452)
Lihong Tian (614453)
Li Tan (157486)
Yun Shi (172065)
Shaofa Nie (116294)
Li Liu (75607)

August 2014

Note: The 2009–2012 values are predicted using modelling data 1956–2008.The 2013–2016 valu...

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence intervals.

Julian C. Evans (5013503)
Sasha R. X. Dall (155660)
Caitlin R. Kight (6166958)

December 2018

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence i...

Estimates of fixed effects coefficients and performance metrics for the prediction models.

Lauri Lovén (6312335)
Virve Karsisto (6312338)
Heikki Järvinen (473510)
Mikko J. Sillanpää (133635)
Teemu Leppänen (6312341)
Ella Peltonen (6312344)
Susanna Pirttikangas (6312347)
Jukka Riekki (6312350)

February 2019

Estimates of fixed effects coefficients and performance metrics for the prediction models.</p

Predictions of timelines to achieve 1% mf in Villupuram district, India, considering extended post-MDA data.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

Predictions of timelines to achieve 1% mf in Villupuram district, India, considering extended post-M...

Schematic diagram showing the sequential fitting procedure for updating models and predictions by incorporating longitudinal data.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

In all scenarios, the initial EPIFIL models were initialized with parameter priors and a chi-square ...

EPIFIL predictions of timelines to achieve 1% mf prevalence in Dokan Tofa, Nigeria.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

EPIFIL predictions of timelines to achieve 1% mf prevalence in Dokan Tofa, Nigeria.</p

Predicted annual disease cases from the final model (M5) together with the observed/reported number of cases.

Claudio Jose Struchiner (3155610)
Joacim Rocklöv (296647)
Annelies Wilder-Smith (496355)
Eduardo Massad (227441)

August 2015

Predicted annual disease cases from the final model (M5) together with the observed/reported numb...

Pooled predictions of the timelines to reach 1% mf from three LF models.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

The shaded regions show the weighted 95% percentile interval from the composite predictions of all t...

Prediction performance promotion percentages between the proposed model and other models.

Wancheng Huang (17873571)
Yuan Tian (225002)

January 2024

Prediction performance promotion percentages between the proposed model and other models.</p

Onset timing accuracy and number of forecasts predicting any onset by predicted onset week.

Sarah C. Kramer (6407927)
Jeffrey Shaman (252813)

March 2019

Onset timing accuracy and number of forecasts predicting any onset by predicted onset week.</p

Comparison of model-predicted timelines from model-only simulations and the lowest entropy simulations in each site.

Edwin Michael (70470)
Swarnali Sharma (5828669)
Morgan E. Smith (5828672)
Panayiota Touloupou (4745205)
Federica Giardina (179708)
Joaquin M. Prada (5828675)
Wilma A. Stolk (107546)
Deirdre Hollingsworth (5828678)
Sake J. de Vlas (69504)

October 2018

The boxplots show that by calibrating the models to data streams, more precise predictions are able ...

Maps of the MaxEnt predicted distributions of CFA prevalence categories.

Enala T. Mwase (525440)
Anna-Sofie Stensgaard (337609)
Mutale Nsakashalo-Senkwe (525441)
Likezo Mubila (39599)
James Mwansa (525442)
Peter Songolo (525443)
Sheila T. Shawa (525444)
Paul E. Simonsen (364386)

February 2014

(A) The heatmap values represent the relative probabilities of presence of LF with at least 5%, C...

Predictive values according to estimated prevalence before (top) and after (bottom) threshold optimization.

Christophe Courdurie (4169665)
Yohann Le Govic (4169659)
Pascale Bourhy (32303)
Dorothee Alexer (4169662)
Karine Pailla (4169668)
Rafaelle Theodose (389511)
Raymond Cesaire (4169671)
Jacques Rosine (389519)
Patrick Hochedez (389514)
Claude Olive (389512)

June 2017

Predictive values according to estimated prevalence before (top) and after (bottom) threshold opt...

The relationship between the time window size and the effectiveness of prediction model.

Jinliang Yao (17138102)
Zhipeng Cai (63661)
Zheng Qian (10940844)
Bing Yang (142278)

October 2023

The relationship between the time window size and the effectiveness of prediction model.</p

Model estimates of relative log(SM) levels and the corresponding ratios of change between the sampling time points.

Daniel C. Müller (6672416)
Anna Kauppi (6672419)
Alicia Edin (847450)
Åsa Gylfe (675514)
Anders B. Sjöstedt (6672422)
Anders Johansson (18368)

May 2019

Model estimates of relative log(SM) levels and the corresponding ratios of change between the sampli...

The predicted prevalence (%) from three models.

Lingling Zhou (548817)
Lijing Yu (572161)
Ying Wang (11406)
Zhouqin Lu (614452)
Lihong Tian (614453)
Li Tan (157486)
Yun Shi (172065)
Shaofa Nie (116294)
Li Liu (75607)

August 2014

Note: The 2009–2012 values are predicted using modelling data 1956–2008.The 2013–2016 valu...

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence intervals.

Julian C. Evans (5013503)
Sasha R. X. Dall (155660)
Caitlin R. Kight (6166958)

December 2018

Model estimates of top model predicting the proportion of time spent vigilant, with 95% confidence i...

Estimates of fixed effects coefficients and performance metrics for the prediction models.

Lauri Lovén (6312335)
Virve Karsisto (6312338)
Heikki Järvinen (473510)
Mikko J. Sillanpää (133635)
Teemu Leppänen (6312341)
Ella Peltonen (6312344)
Susanna Pirttikangas (6312347)
Jukka Riekki (6312350)

February 2019

Estimates of fixed effects coefficients and performance metrics for the prediction models.</p

Model predictions of timelines to achieve 1% mf prevalence and corresponding information metrics.

Abstract

Extracted data

Model predictions of timelines to achieve 1% mf prevalence and corresponding information metrics.

Abstract

Extracted data

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