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OptimAgent_GEMS --- model-metadata/OptimAgent_GEMS.yml | 42 ++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml new file mode 100644 index 0000000..1331b1a --- /dev/null +++ b/model-metadata/OptimAgent_GEMS.yml @@ -0,0 +1,42 @@ +team_name: OptimAgent +model_name: German Epidemic Micro-Simulation System +team_abbr: OptimAgent +model_abbr: GEMS +model_contributors: + - name: Aleksandr Bryzgalov + affiliation: Martin-Luther-University,Halle-Wittenberg + email: Aleksandr.Bryzgalov@uk-halle.de + - name: Beryl Musundi + affiliation: Martin-Luther-University,Halle-Wittenberg + email: Beryl.Musundi@uk-halle.de + - name: Johannes Ponge + affiliation: University of Münster + email:johannes.ponge@wi.uni-muenster.de + - name: Janik Suer + affiliation: University of Münster + email: janik.suer@uni-muenster.de + - name: Tyll Krueger + affiliation: Wroclaw University of Science and Technology + email: tyll.krueger@googlemail.com + - name: Mahreen Kahkashan + affiliation:Martin-Luther-University, Halle-Wittenberg + email:Mahreen.Kahkashan@uk-halle.de + - name: Wolfgang Bock + affiliation: Linneaus University + email:wolfgang.bock@lnu.se + - name: Johannes Horn + affiliation: Martin-Luther-University, Halle-Wittenberg + email:johannes.horn@uk-halle.de + - name: Mirjam Kretzschmar + affiliation: Utrecht University + email:m.e.e.kretzschmar@umcutrecht.nl + - name: Rafael Mikolycjzyk + affiliation: Martin-Luther-University, Halle-Wittenberg + email:rafael.mikolajczyk@uk-halle.de + - name: Alexander Kuhlmann + affiliation: Martin-Luther-University, Halle-Wittenberg + email:Alexander.Kuhlmann@uk-halle.de +methods: An agent-based modelling framework tailored for the German population to simulate epidemics. +data_inputs: RKI +team_model_designation: primary +methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. 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model-metadata/OptimAgent_GEMS.yml | 42 ------------------------------ 1 file changed, 42 deletions(-) delete mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml deleted file mode 100644 index 1331b1a..0000000 --- a/model-metadata/OptimAgent_GEMS.yml +++ /dev/null @@ -1,42 +0,0 @@ -team_name: OptimAgent -model_name: German Epidemic Micro-Simulation System -team_abbr: OptimAgent -model_abbr: GEMS -model_contributors: - - name: Aleksandr Bryzgalov - affiliation: Martin-Luther-University,Halle-Wittenberg - email: Aleksandr.Bryzgalov@uk-halle.de - - name: Beryl Musundi - affiliation: Martin-Luther-University,Halle-Wittenberg - email: Beryl.Musundi@uk-halle.de - - name: Johannes Ponge - affiliation: University of Münster - email:johannes.ponge@wi.uni-muenster.de - - name: Janik Suer - affiliation: University of Münster - email: janik.suer@uni-muenster.de - - name: Tyll Krueger - affiliation: Wroclaw University of Science and Technology - email: tyll.krueger@googlemail.com - - name: Mahreen Kahkashan - affiliation:Martin-Luther-University, Halle-Wittenberg - email:Mahreen.Kahkashan@uk-halle.de - - name: Wolfgang Bock - affiliation: Linneaus University - email:wolfgang.bock@lnu.se - - name: Johannes Horn - affiliation: Martin-Luther-University, Halle-Wittenberg - email:johannes.horn@uk-halle.de - - name: Mirjam Kretzschmar - affiliation: Utrecht University - email:m.e.e.kretzschmar@umcutrecht.nl - - name: Rafael Mikolycjzyk - affiliation: Martin-Luther-University, Halle-Wittenberg - email:rafael.mikolajczyk@uk-halle.de - - name: Alexander Kuhlmann - affiliation: Martin-Luther-University, Halle-Wittenberg - email:Alexander.Kuhlmann@uk-halle.de -methods: An agent-based modelling framework tailored for the German population to simulate epidemics. -data_inputs: RKI -team_model_designation: primary -methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. From 6f916e6bda387784d928b6fdef9fdb75cbfd99d5 Mon Sep 17 00:00:00 2001 From: BerylMusundi <145342290+BerylMusundi@users.noreply.github.com> Date: Fri, 20 Sep 2024 19:38:35 +0200 Subject: [PATCH 06/16] Add files via upload OptimAgent-GEMS --- model-metadata/OptimAgent_GEMS.yml | 42 ++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml new file mode 100644 index 0000000..643a3b3 --- /dev/null +++ b/model-metadata/OptimAgent_GEMS.yml @@ -0,0 +1,42 @@ +team_name: OptimAgent +model_name: German Epidemic Micro-Simulation System +team_abbr: OptimAgent +model_abbr: GEMS +model_contributors: + - name: Aleksandr Bryzgalov + affiliation: Martin-Luther-University,Halle-Wittenberg + email: Aleksandr.Bryzgalov@uk-halle.de + - name: Beryl Musundi + affiliation: Martin-Luther-University,Halle-Wittenberg + email: Beryl.Musundi@uk-halle.de + - name: Johannes Ponge + affiliation: University of Muenster + email: johannes.ponge@wi.uni-muenster.de + - name: Janik Suer + affiliation: University of Muenster + email: janik.suer@uni-muenster.de + - name: Tyll Krueger + affiliation: Wroclaw University of Science and Technology + email: tyll.krueger@googlemail.com + - name: Mahreen Kahkashan + affiliation:Martin-Luther-University, Halle-Wittenberg + email: Mahreen.Kahkashan@uk-halle.de + - name: Wolfgang Bock + affiliation: Linneaus University + email: wolfgang.bock@lnu.se + - name: Johannes Horn + affiliation: Martin-Luther-University, Halle-Wittenberg + email: johannes.horn@uk-halle.de + - name: Mirjam Kretzschmar + affiliation: Utrecht University + email: m.e.e.kretzschmar@umcutrecht.nl + - name: Rafael Mikolycjzyk + affiliation: Martin-Luther-University, Halle-Wittenberg + email: rafael.mikolajczyk@uk-halle.de + - name: Alexander Kuhlmann + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Alexander.Kuhlmann@uk-halle.de +methods: An agent-based modelling framework tailored for the German population to simulate epidemics. +data_inputs: RKI +team_model_designation: primary +methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. From 422050625f3fe6634bd88455f77c3f02c8c378d6 Mon Sep 17 00:00:00 2001 From: BerylMusundi <145342290+BerylMusundi@users.noreply.github.com> Date: Fri, 20 Sep 2024 19:50:59 +0200 Subject: [PATCH 07/16] Delete model-metadata/OptimAgent_GEMS.yml --- model-metadata/OptimAgent_GEMS.yml | 42 ------------------------------ 1 file changed, 42 deletions(-) delete mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml deleted file mode 100644 index 643a3b3..0000000 --- a/model-metadata/OptimAgent_GEMS.yml +++ /dev/null @@ -1,42 +0,0 @@ -team_name: OptimAgent -model_name: German Epidemic Micro-Simulation System -team_abbr: OptimAgent -model_abbr: GEMS -model_contributors: - - name: Aleksandr Bryzgalov - affiliation: Martin-Luther-University,Halle-Wittenberg - email: Aleksandr.Bryzgalov@uk-halle.de - - name: Beryl Musundi - affiliation: Martin-Luther-University,Halle-Wittenberg - email: Beryl.Musundi@uk-halle.de - - name: Johannes Ponge - affiliation: University of Muenster - email: johannes.ponge@wi.uni-muenster.de - - name: Janik Suer - affiliation: University of Muenster - email: janik.suer@uni-muenster.de - - name: Tyll Krueger - affiliation: Wroclaw University of Science and Technology - email: tyll.krueger@googlemail.com - - name: Mahreen Kahkashan - affiliation:Martin-Luther-University, Halle-Wittenberg - email: Mahreen.Kahkashan@uk-halle.de - - name: Wolfgang Bock - affiliation: Linneaus University - email: wolfgang.bock@lnu.se - - name: Johannes Horn - affiliation: Martin-Luther-University, Halle-Wittenberg - email: johannes.horn@uk-halle.de - - name: Mirjam Kretzschmar - affiliation: Utrecht University - email: m.e.e.kretzschmar@umcutrecht.nl - - name: Rafael Mikolycjzyk - affiliation: Martin-Luther-University, Halle-Wittenberg - email: rafael.mikolajczyk@uk-halle.de - - name: Alexander Kuhlmann - affiliation: Martin-Luther-University, Halle-Wittenberg - email: Alexander.Kuhlmann@uk-halle.de -methods: An agent-based modelling framework tailored for the German population to simulate epidemics. -data_inputs: RKI -team_model_designation: primary -methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. From 4029ada11ddaa723ce3187e97c47b83b56216055 Mon Sep 17 00:00:00 2001 From: BerylMusundi <145342290+BerylMusundi@users.noreply.github.com> Date: Fri, 20 Sep 2024 19:54:14 +0200 Subject: [PATCH 08/16] Add files via upload OptimAgent_GEMS --- model-metadata/OptimAgent_GEMS.yml | 42 ++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml new file mode 100644 index 0000000..895e3a0 --- /dev/null +++ b/model-metadata/OptimAgent_GEMS.yml @@ -0,0 +1,42 @@ +team_name: OptimAgent +model_name: German Epidemic Micro-Simulation System +team_abbr: OptimAgent +model_abbr: GEMS +model_contributors: + - name: Aleksandr Bryzgalov + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Aleksandr.Bryzgalov@uk-halle.de + - name: Beryl Musundi + affiliation: Martin-Luther-University, sHalle-Wittenberg + email: Beryl.Musundi@uk-halle.de + - name: Johannes Ponge + affiliation: University of Muenster + email: johannes.ponge@wi.uni-muenster.de + - name: Janik Suer + affiliation: University of Muenster + email: janik.suer@uni-muenster.de + - name: Tyll Krueger + affiliation: Wroclaw University of Science and Technology + email: tyll.krueger@googlemail.com + - name: Mahreen Kahkashan + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Mahreen.Kahkashan@uk-halle.de + - name: Wolfgang Bock + affiliation: Linneaus University + email: wolfgang.bock@lnu.se + - name: Johannes Horn + affiliation: Martin-Luther-University, Halle-Wittenberg + email: johannes.horn@uk-halle.de + - name: Mirjam Kretzschmar + affiliation: Utrecht University + email: m.e.e.kretzschmar@umcutrecht.nl + - name: Rafael Mikolycjzyk + affiliation: Martin-Luther-University, Halle-Wittenberg + email: rafael.mikolajczyk@uk-halle.de + - name: Alexander Kuhlmann + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Alexander.Kuhlmann@uk-halle.de +methods: An agent-based modelling framework tailored for the German population to simulate epidemics. +data_inputs: RKI +team_model_designation: primary +methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. From 286948e8c34e7b8375ae6c0ad1c0d56022d02a20 Mon Sep 17 00:00:00 2001 From: BerylMusundi <145342290+BerylMusundi@users.noreply.github.com> Date: Fri, 20 Sep 2024 19:56:15 +0200 Subject: [PATCH 09/16] Delete model-metadata/OptimAgent_GEMS.yml --- model-metadata/OptimAgent_GEMS.yml | 42 ------------------------------ 1 file changed, 42 deletions(-) delete mode 100644 model-metadata/OptimAgent_GEMS.yml diff --git a/model-metadata/OptimAgent_GEMS.yml b/model-metadata/OptimAgent_GEMS.yml deleted file mode 100644 index 895e3a0..0000000 --- a/model-metadata/OptimAgent_GEMS.yml +++ /dev/null @@ -1,42 +0,0 @@ -team_name: OptimAgent -model_name: German Epidemic Micro-Simulation System -team_abbr: OptimAgent -model_abbr: GEMS -model_contributors: - - name: Aleksandr Bryzgalov - affiliation: Martin-Luther-University, Halle-Wittenberg - email: Aleksandr.Bryzgalov@uk-halle.de - - name: Beryl Musundi - affiliation: Martin-Luther-University, sHalle-Wittenberg - email: Beryl.Musundi@uk-halle.de - - name: Johannes Ponge - affiliation: University of Muenster - email: johannes.ponge@wi.uni-muenster.de - - name: Janik Suer - affiliation: University of Muenster - email: janik.suer@uni-muenster.de - - name: Tyll Krueger - affiliation: Wroclaw University of Science and Technology - email: tyll.krueger@googlemail.com - - name: Mahreen Kahkashan - affiliation: Martin-Luther-University, Halle-Wittenberg - email: Mahreen.Kahkashan@uk-halle.de - - name: Wolfgang Bock - affiliation: Linneaus University - email: wolfgang.bock@lnu.se - - name: Johannes Horn - affiliation: Martin-Luther-University, Halle-Wittenberg - email: johannes.horn@uk-halle.de - - name: Mirjam Kretzschmar - affiliation: Utrecht University - email: m.e.e.kretzschmar@umcutrecht.nl - - name: Rafael Mikolycjzyk - affiliation: Martin-Luther-University, Halle-Wittenberg - email: rafael.mikolajczyk@uk-halle.de - - name: Alexander Kuhlmann - affiliation: Martin-Luther-University, Halle-Wittenberg - email: Alexander.Kuhlmann@uk-halle.de -methods: An agent-based modelling framework tailored for the German population to simulate epidemics. -data_inputs: RKI -team_model_designation: primary -methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. From c9a4212783b3a07358bb3e608dd741252e3892b6 Mon Sep 17 00:00:00 2001 From: BerylMusundi <145342290+BerylMusundi@users.noreply.github.com> Date: Fri, 20 Sep 2024 19:56:53 +0200 Subject: [PATCH 10/16] Add files via upload OptimAgent-GEMS --- model-metadata/OptimAgent-GEMS.yml | 42 ++++++++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 model-metadata/OptimAgent-GEMS.yml diff --git a/model-metadata/OptimAgent-GEMS.yml b/model-metadata/OptimAgent-GEMS.yml new file mode 100644 index 0000000..895e3a0 --- /dev/null +++ b/model-metadata/OptimAgent-GEMS.yml @@ -0,0 +1,42 @@ +team_name: OptimAgent +model_name: German Epidemic Micro-Simulation System +team_abbr: OptimAgent +model_abbr: GEMS +model_contributors: + - name: Aleksandr Bryzgalov + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Aleksandr.Bryzgalov@uk-halle.de + - name: Beryl Musundi + affiliation: Martin-Luther-University, sHalle-Wittenberg + email: Beryl.Musundi@uk-halle.de + - name: Johannes Ponge + affiliation: University of Muenster + email: johannes.ponge@wi.uni-muenster.de + - name: Janik Suer + affiliation: University of Muenster + email: janik.suer@uni-muenster.de + - name: Tyll Krueger + affiliation: Wroclaw University of Science and Technology + email: tyll.krueger@googlemail.com + - name: Mahreen Kahkashan + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Mahreen.Kahkashan@uk-halle.de + - name: Wolfgang Bock + affiliation: Linneaus University + email: wolfgang.bock@lnu.se + - name: Johannes Horn + affiliation: Martin-Luther-University, Halle-Wittenberg + email: johannes.horn@uk-halle.de + - name: Mirjam Kretzschmar + affiliation: Utrecht University + email: m.e.e.kretzschmar@umcutrecht.nl + - name: Rafael Mikolycjzyk + affiliation: Martin-Luther-University, Halle-Wittenberg + email: rafael.mikolajczyk@uk-halle.de + - name: Alexander Kuhlmann + affiliation: Martin-Luther-University, Halle-Wittenberg + email: Alexander.Kuhlmann@uk-halle.de +methods: An agent-based modelling framework tailored for the German population to simulate epidemics. +data_inputs: RKI +team_model_designation: primary +methods_long: GEMS is an agent-based mathematical modelling framework tailored for the German population. Individuals in the model have attributes such as age and gender and are associated with contact settings that include households, schools, workplaces and municipality. Disease progression is age-dependent and seasonality effects are included. The model is calibrated using reported cases of hospitalizations and used to forecast COVID-19 infections and hospitalizations. 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