MOESM3 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

MOESM3 of Predictability of epidemic malaria under non-stationary conditions with process-based models combining epidemiological updates and climate variability

Manojit Roy (104218)
Menno Bouma (242702)
Ramesh Dhiman (3418304)
Mercedes Pascual (19597)

October 2015

Additional file 3. A text file describing the models for Pf and Pv together with the measurement mod...

MOESM1 of Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso

Eric Diboulo (3476735)
Ali SiĂŠ (3476741)
Penelope Vounatsou (49253)

April 2016

Additional file 1. Title: Modelling details. Description: The file provided represents details about...

MOESM11 of Malaria hotspots defined by clinical malaria, asymptomatic carriage, PCR and vector numbers in a low transmission area on the Kenyan Coast

David Kangoye (482828)
Abdisalan Noor (546797)
Janet Midega (3489740)
Joyce Mwongeli (3489734)
Dora Mkabili (3489731)
Polycarp Mogeni (3162024)
Christine Kerubo (3489737)
Pauline Akoo (3489728)
Joseph Mwangangi (3489743)
Chris Drakeley (79962)
Kevin Marsh (9406)
Philip Bejon (40508)
Patricia Njuguna (236435)

April 2016

Additional file 11. Distribution of clinical, parasitological and entomological markers of malaria t...

MOESM4 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 4: Results of model selection performed to find the best model used to analyse entom...

MOESM1 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 1: The spatial structure used in the STAR model was the one used to perform the Gati...

MOESM2 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 2: Timing of mosquito sampling sessions per each village during study period 2009-20...

MOESM3 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 3. The locations of communities surveyed for malaria infection in Kenya between 1980...

MOESM1 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 1. Summary of malaria parasite surveys data used in the analysis

MOESM7 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 7. The Monte Carlo maximum likelihood parameters from the fitted spatio-temporal geo...

MOESM2 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 2. The temporal and frequency distribution of communities surveyed for malaria infec...

MOESM6 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 6. Model predictive performance assessment through cross validation

MOESM3 of Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Punam Amratia (3442466)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Justin Millar (3442469)
Samuel Oppong (194476)
Kwadwo Koram (317421)
Denis Valle (197557)

March 2019

Additional file 3. Sensitivity analysis to comparing age standardized local maps

MOESM3 of Assessing the effects of mosquito nets on malaria mortality using a space time model: a case study of Rufiji and Ifakara Health and Demographic Surveillance System sites inÂ rural Tanzania

Majige Selemani (663939)
Amina Msengwa (321709)
Sigilbert Mrema (729114)
Amri Shamte (3500513)
Michael Mahande (3408410)
Karen Yeates (2825876)
Maurice Mbago (3500510)
Angelina Lutambi (3500516)

May 2016

Additional file 3. Observed and predicted malaria mortality rate using model 2 for 2012in Ifakara HD...

MOESM2 of Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Punam Amratia (3442466)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Justin Millar (3442469)
Samuel Oppong (194476)
Kwadwo Koram (317421)
Denis Valle (197557)

March 2019

Additional file 2. Variable selection, posterior estimates and model comparisons

MOESM1 of Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

Justin Millar (3442469)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Punam Amratia (3442466)
Kwadwo Koram (317421)
Samuel Oppong (194476)
Denis Valle (197557)

September 2018

Additional file 1. Contains descriptive statistics on covariates, code for running the Gibbs sampler...

MOESM3 of Predictability of epidemic malaria under non-stationary conditions with process-based models combining epidemiological updates and climate variability

Manojit Roy (104218)
Menno Bouma (242702)
Ramesh Dhiman (3418304)
Mercedes Pascual (19597)

October 2015

Additional file 3. A text file describing the models for Pf and Pv together with the measurement mod...

MOESM1 of Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso

Eric Diboulo (3476735)
Ali SiĂŠ (3476741)
Penelope Vounatsou (49253)

April 2016

Additional file 1. Title: Modelling details. Description: The file provided represents details about...

MOESM11 of Malaria hotspots defined by clinical malaria, asymptomatic carriage, PCR and vector numbers in a low transmission area on the Kenyan Coast

David Kangoye (482828)
Abdisalan Noor (546797)
Janet Midega (3489740)
Joyce Mwongeli (3489734)
Dora Mkabili (3489731)
Polycarp Mogeni (3162024)
Christine Kerubo (3489737)
Pauline Akoo (3489728)
Joseph Mwangangi (3489743)
Chris Drakeley (79962)
Kevin Marsh (9406)
Philip Bejon (40508)
Patricia Njuguna (236435)

April 2016

Additional file 11. Distribution of clinical, parasitological and entomological markers of malaria t...

MOESM4 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 4: Results of model selection performed to find the best model used to analyse entom...

MOESM1 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 1: The spatial structure used in the STAR model was the one used to perform the Gati...

MOESM2 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Donal Bisanzio (359800)
Francis Mutuku (214961)
Angelle LaBeaud (3529940)
Peter Mungai (371475)
Jackson Muinde (3529937)
Hajara Busaidy (3529934)
Dunstan Mukoko (3529943)
Charles King (3400730)
Uriel Kitron (119769)

December 2015

Additional file 2: Timing of mosquito sampling sessions per each village during study period 2009-20...

MOESM3 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 3. The locations of communities surveyed for malaria infection in Kenya between 1980...

MOESM1 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 1. Summary of malaria parasite surveys data used in the analysis

MOESM7 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 7. The Monte Carlo maximum likelihood parameters from the fitted spatio-temporal geo...

MOESM2 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 2. The temporal and frequency distribution of communities surveyed for malaria infec...

MOESM6 of Spatio-temporal analysis of Plasmodium falciparum prevalence to understand the past and chart the future of malaria control in Kenya

Peter Macharia (5795351)
Emanuele Giorgi (3156495)
Abdisalan Noor (546797)
Ejersa Waqo (5795354)
Rebecca Kiptui (4777569)
Emelda Okiro (712087)
Robert Snow (3417758)

September 2018

Additional file 6. Model predictive performance assessment through cross validation

MOESM3 of Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Punam Amratia (3442466)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Justin Millar (3442469)
Samuel Oppong (194476)
Kwadwo Koram (317421)
Denis Valle (197557)

March 2019

Additional file 3. Sensitivity analysis to comparing age standardized local maps

MOESM3 of Assessing the effects of mosquito nets on malaria mortality using a space time model: a case study of Rufiji and Ifakara Health and Demographic Surveillance System sites inÂ rural Tanzania

Majige Selemani (663939)
Amina Msengwa (321709)
Sigilbert Mrema (729114)
Amri Shamte (3500513)
Michael Mahande (3408410)
Karen Yeates (2825876)
Maurice Mbago (3500510)
Angelina Lutambi (3500516)

May 2016

Additional file 3. Observed and predicted malaria mortality rate using model 2 for 2012in Ifakara HD...

MOESM2 of Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana

Punam Amratia (3442466)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Justin Millar (3442469)
Samuel Oppong (194476)
Kwadwo Koram (317421)
Denis Valle (197557)

March 2019

Additional file 2. Variable selection, posterior estimates and model comparisons

MOESM1 of Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

Justin Millar (3442469)
Paul Psychas (5803691)
Benjamin Abuaku (3127101)
Collins Ahorlu (335722)
Punam Amratia (3442466)
Kwadwo Koram (317421)
Samuel Oppong (194476)
Denis Valle (197557)

September 2018

Additional file 1. Contains descriptive statistics on covariates, code for running the Gibbs sampler...

MOESM3 of Predictability of epidemic malaria under non-stationary conditions with process-based models combining epidemiological updates and climate variability

Manojit Roy (104218)
Menno Bouma (242702)
Ramesh Dhiman (3418304)
Mercedes Pascual (19597)

October 2015

Additional file 3. A text file describing the models for Pf and Pv together with the measurement mod...

MOESM1 of Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso

Eric Diboulo (3476735)
Ali SiĂŠ (3476741)
Penelope Vounatsou (49253)

April 2016

Additional file 1. Title: Modelling details. Description: The file provided represents details about...

MOESM11 of Malaria hotspots defined by clinical malaria, asymptomatic carriage, PCR and vector numbers in a low transmission area on the Kenyan Coast

David Kangoye (482828)
Abdisalan Noor (546797)
Janet Midega (3489740)
Joyce Mwongeli (3489734)
Dora Mkabili (3489731)
Polycarp Mogeni (3162024)
Christine Kerubo (3489737)
Pauline Akoo (3489728)
Joseph Mwangangi (3489743)
Chris Drakeley (79962)
Kevin Marsh (9406)
Philip Bejon (40508)
Patricia Njuguna (236435)

April 2016

Additional file 11. Distribution of clinical, parasitological and entomological markers of malaria t...

MOESM3 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Abstract

Extracted data

MOESM3 of Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Abstract

Extracted data

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