calibration update

Author: joehcollins

resources/ResourceFile_LabourSkilledBirthAttendance/parameter_values.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b648a705538a12d67bc15d52f549f0e51d642253184c0e4a3a97b46f9c2cabe
-size 10255
+oid sha256:31c34f84de3904f0feeaa05d3f9fcdbd4aadd2d45f2f079fd273f04d50193384
+size 10327

resources/ResourceFile_PostnatalSupervisor/parameter_values.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8dac89c4cc638a6f65cc21effb521380e3d6ca06600af737244e41ef0f71b4a9
-size 3573
+oid sha256:a46f4ae47845659a485f851ba05043ce5b590b437ee684414598bea1b58efbb8
+size 3558

resources/ResourceFile_PregnancySupervisor/parameter_values.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0f93c7daa9507373296b887f663adf25ace47aee2b200ec08427d55acecf28ac
-size 13976
+oid sha256:7bd7cc39c6461046d84358795f15998efd3146b705e992932b4ea8a38d54e576
+size 14022

src/scripts/maternal_perinatal_analyses/cohort_analysis/cohort_interventions_scenario.py

@@ -16,7 +16,7 @@ def __init__(self):
         self.start_date = Date(2024, 1, 1)
         self.end_date = Date(2025, 1, 2)
         self.pop_size = 40_000
-        self.number_of_draws = 5
+        self.number_of_draws = 1
         self.runs_per_draw = 60
 
     def log_configuration(self):
@@ -46,23 +46,21 @@ def modules(self):
                  mnh_cohort_module.MaternalNewbornHealthCohort(resourcefilepath=self.resources)]
 
     def draw_parameters(self, draw_number, rng):
-        if draw_number == 0:
-            return {'PregnancySupervisor': {
-                    'analysis_year': 2024}}
-
-        else:
-            interventions_for_analysis = ['post_abortion_care_core', 'post_abortion_care_core',
-                                          'iv_antihypertensives', 'iv_antihypertensives']
-
-            avail_for_draw = [0.0, 1.0,
-                              0.0, 1.0,
-                              ]
 
+        # if draw_number == 0:
+        #     return {'PregnancySupervisor': {
+        #             'analysis_year': 2024}}
+        #
+        # else:
+        #     interventions_for_analysis = ['post_abortion_care_core', 'post_abortion_care_core',
+        #                                   'iv_antihypertensives', 'iv_antihypertensives']
+        #
+        #     avail_for_draw = [0.0, 1.0,
+        #                       0.0, 1.0,
+        #                       ]
+        #
         return {'PregnancySupervisor': {
-                'analysis_year': 2024,
-                'interventions_analysis': True,
-                'interventions_under_analysis':[interventions_for_analysis[draw_number-1]],
-                'intervention_analysis_availability': avail_for_draw[draw_number-1]}}
+                'analysis_year': 2024}}
 
 
 if __name__ == '__main__':

src/scripts/maternal_perinatal_analyses/cohort_analysis/int_analysis_script.py

@@ -102,10 +102,10 @@ def summarize_confidence_intervals(results: pd.DataFrame) -> pd.DataFrame:
 
     return summary
 
-scenario = 'cohort_scenario_201657'
+scenario = 'cohort_scenario_261873'
 results_folder= get_scenario_outputs(scenario, outputspath)[-1]
 
-interventions =['pph_treatment_surg', 'post_abortion_care_core',  'birth_kit',  'caesarean_section']
+interventions =['post_abortion_care_core',  'iv_antihypertensives']
 
 int_analysis = ['baseline']