Improved Healthsystem And Healthcare Seeking (.xlsx)
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main
Module |
Parameter |
max_healthsystem_function |
max_healthcare_seeking |
Note [0 .0—> 0.0001 and 1.0 –> 0.9999 so that floating point value is preserved] |
|
---|---|---|---|---|---|
0 |
Alri |
sensitivity_of_classification_of_fast_breathing_pneumonia_facility_level0 |
0.9999 |
||
1 |
Alri |
sensitivity_of_classification_of_danger_signs_pneumonia_facility_level0 |
0.9999 |
||
2 |
Alri |
sensitivity_of_classification_of_non_severe_pneumonia_facility_level1 |
0.9999 |
||
3 |
Alri |
sensitivity_of_classification_of_severe_pneumonia_facility_level1 |
0.9999 |
||
4 |
Alri |
sensitivity_of_classification_of_non_severe_pneumonia_facility_level2 |
0.9999 |
||
5 |
Alri |
sensitivity_of_classification_of_severe_pneumonia_facility_level2 |
0.9999 |
||
6 |
Alri |
prob_iCCM_severe_pneumonia_treated_as_fast_breathing_pneumonia |
0.7 |
Remain, as sensitivity_of_classification_of_danger_signs_pneumonia_facility_level0 = 1.0, this parameter does not matter |
|
7 |
Alri |
prob_IMCI_severe_pneumonia_treated_as_non_severe_pneumonia |
0.7 |
Remain, as sensitivity_of_classification_of_severe_pneumonia_facility_level1 = 1.0, this parameter does not matter |
|
8 |
Alri |
prob_for_followup_if_treatment_failure |
0.9999 |
||
9 |
CardioMetabolicDisorders |
ever_stroke_hsi |
#ever_stroke!A1 |
ever_stroke_hsi/sensitivity_of_assessment, ever_stroke_hsi/pr_assessed_other_symptoms |
|
10 |
CardioMetabolicDisorders |
ever_heart_attack_hsi |
#ever_heart_attack!A1 |
ever_heart_attack_hsi/sensitivity_of_assessment, ever_heart_attack_hsi/pr_assessed_other_symptoms |
|
11 |
CardioMetabolicDisorders |
diabetes_hsi |
#diabetes!A1 |
diabetes_hsi/sensitivity_of_assessment, diabetes_hsi/pr_assessed_other_symptoms |
|
12 |
CardioMetabolicDisorders |
diabetes_hsi |
#diabetes!A1 |
diabetes_hsi/pr_seeking_further_appt_if_drug_not_available |
|
13 |
CardioMetabolicDisorders |
hypertension_hsi |
#hypertension!A1 |
hypertension_hsi/sensitivity_of_assessment, hypertension_hsi/pr_assessed_other_symptoms |
|
14 |
CardioMetabolicDisorders |
hypertension_hsi |
#hypertension!A1 |
hypertension_hsi/pr_seeking_further_appt_if_drug_not_available |
|
15 |
CardioMetabolicDisorders |
chronic_lower_back_pain_hsi |
#chronic_lower_back_pain!A1 |
chronic_lower_back_pain_hsi/sensitivity_of_assessment, chronic_lower_back_pain_hsi/pr_assessed_other_symptoms |
|
16 |
CardioMetabolicDisorders |
chronic_lower_back_pain_hsi |
#chronic_lower_back_pain!A1 |
chronic_lower_back_pain_hsi/pr_seeking_further_appt_if_drug_not_available |
|
17 |
CardioMetabolicDisorders |
chronic_kidney_disease_hsi |
#chronic_kidney_disease!A1 |
chronic_kidney_disease_hsi/pr_assessed_other_symptoms |
|
18 |
CardioMetabolicDisorders |
chronic_kidney_disease_hsi |
#chronic_kidney_disease!A1 |
chronic_kidney_disease_hsi/pr_seeking_further_appt_if_drug_not_available |
|
19 |
CardioMetabolicDisorders |
chronic_ischemic_hd_hsi |
#chronic_ischemic_hd!A1 |
chronic_ischemic_hd_hsi/sensitivity_of_assessment, chronic_ischemic_hd_hsi/pr_assessed_other_symptoms |
|
20 |
CardioMetabolicDisorders |
chronic_ischemic_hd_hsi |
#chronic_ischemic_hd!A1 |
chronic_ischemic_hd_hsi/pr_seeking_further_appt_if_drug_not_available |
|
21 |
CardioMetabolicDisorders |
hypertension_testing |
#hypertension_testing!A1 |
#hypertension_testing!A1 |
hypertension_testing/baseline_annual_probability |
22 |
CardioMetabolicDisorders |
prob_care_provided_given_seek_emergency_care |
0.9999 |
||
23 |
CareOfWomenDuringPregnancy |
prob_seek_anc2 |
[1.0, 1.0] |
||
24 |
CareOfWomenDuringPregnancy |
prob_seek_anc3 |
[1.0, 1.0] |
||
25 |
CareOfWomenDuringPregnancy |
prob_seek_anc5 |
[1.0, 1.0] |
||
26 |
CareOfWomenDuringPregnancy |
prob_seek_anc6 |
[1.0, 1.0] |
||
27 |
CareOfWomenDuringPregnancy |
prob_seek_anc7 |
[1.0, 1.0] |
||
28 |
CareOfWomenDuringPregnancy |
prob_seek_anc8 |
[1.0, 1.0] |
||
29 |
CareOfWomenDuringPregnancy |
prob_intervention_delivered_urine_ds |
[1.0, 1.0] |
||
30 |
CareOfWomenDuringPregnancy |
prob_intervention_delivered_bp |
[1.0, 1.0] |
||
31 |
CareOfWomenDuringPregnancy |
prob_adherent_ifa |
[1.0, 1.0] |
||
32 |
CareOfWomenDuringPregnancy |
prob_intervention_delivered_syph_test |
[1.0, 1.0] |
||
33 |
CareOfWomenDuringPregnancy |
prob_intervention_delivered_gdm_test |
[1.0, 1.0] |
||
34 |
Contraception |
max_number_of_runs_of_hsi_if_consumable_not_available |
1000 |
Remain, this value is already big enough |
|
35 |
Depression |
prob_3m_stop_antidepr |
0.7 |
Remain, not sure what is the ideal value |
|
36 |
Depression |
prob_3m_default_antidepr |
0.0001 |
||
37 |
Depression |
pr_assessed_for_depression_in_generic_appt_level1 |
0.9999 |
||
38 |
Depression |
pr_assessed_for_depression_for_perinatal_female |
0.9999 |
||
39 |
Depression |
sensitivity_of_assessment_of_depression |
0.9999 |
||
40 |
Diarrhoea |
prob_hospitalization_on_danger_signs |
0.9999 |
||
41 |
Diarrhoea |
sensitivity_severe_dehydration_visual_inspection |
0.9999 |
||
42 |
Diarrhoea |
specificity_severe_dehydration_visual_inspection |
0.9999 |
||
43 |
Epilepsy |
base_prob_3m_stop_antiepileptic |
0.0001 |
||
44 |
HealthSeekingBehaviour |
force_any_symptom_to_lead_to_healthcareseeking |
True |
||
45 |
Hiv |
hiv_testing_rates |
#MoH_numbers_tests!A1 |
#MoH_numbers_tests!A1 |
100% for 2010 onwards |
46 |
Hiv |
prob_start_art_or_vs |
#spectrum_treatment_cascade!A1 |
100% for 2010 onwards |
|
47 |
Hiv |
hiv_testing_rate_adjustment |
0.9999 |
0.9999 |
Make sure hiv_testing_rates is not changed in the ideal case |
48 |
Hiv |
treatment_initiation_adjustment |
0.9999 |
Make sure prob_start_or_vs is not changed in the ideal case |
|
49 |
Hiv |
vs_adjustment |
0.9999 |
Make sure prob_start_or_vs is not changed in the ideal case |
|
50 |
Hiv |
prob_hiv_test_at_anc_or_delivery |
0.9999 |
||
51 |
Hiv |
prob_hiv_test_for_newborn_infant |
0.9999 |
||
52 |
Hiv |
prob_behav_chg_after_hiv_test |
0.9999 |
||
53 |
Hiv |
prob_prep_for_fsw_after_hiv_test |
0.9999 |
0.9999 |
|
54 |
Hiv |
prob_prep_for_agyw |
0.9999 |
0.9999 |
|
55 |
Hiv |
prob_circ_after_hiv_test |
0.9999 |
0.9999 |
|
56 |
Hiv |
probability_of_being_retained_on_prep_every_3_months |
0.9999 |
||
57 |
Hiv |
probability_of_being_retained_on_art_every_3_months |
0.9999 |
||
58 |
Hiv |
probability_of_seeking_further_art_appointment_if_drug_not_available |
0.9999 |
||
59 |
Hiv |
probability_of_seeking_further_art_appointment_if_appointment_not_available |
0.9999 |
||
60 |
Labour |
odds_deliver_at_home |
[0.0,0.0] |
Make the prob of delivery at home as 0.0 |
|
61 |
Labour |
prob_intervention_delivered_anaemia_assessment_pnc |
[1.0,1.0] |
||
62 |
Labour |
prob_timings_pnc |
[[1.0,0.0], [1.0,0.0]] |
||
63 |
Labour |
odds_will_attend_pnc |
[10000.0,10000.0] |
Particularly note that the prob can never reach 1.0 by simply increaseing odds; ideally, we should make the prob param exlicit in the coding |
|
64 |
Labour |
or_pnc_age_30_35 |
[1.75, 1.75] |
Remain |
|
65 |
Labour |
or_pnc_age_>35 |
[1.86, 1.86] |
Remain |
|
66 |
Labour |
or_pnc_rural |
[0.55, 0.55] |
Remain |
|
67 |
Labour |
or_pnc_wealth_level_1 |
[0.72, 0.72] |
Remain |
|
68 |
Labour |
or_pnc_anc4+ |
[1.2 , 1.2] |
Remain |
|
69 |
Labour |
or_pnc_caesarean_delivery |
[1.93, 1.93] |
Remain |
|
70 |
Labour |
or_pnc_facility_delivery |
[1.91, 1.91] |
Remain |
|
71 |
Labour |
or_pnc_parity_>4 |
[0.03, 0.03] |
Remain |
|
72 |
Labour |
prob_careseeking_for_complication |
[1.0,1.0] |
||
73 |
Labour |
prob_careseeking_for_complication_pn |
[1.0,1.0] |
||
74 |
Labour |
prob_adherent_ifa |
[1.0,1.0] |
||
75 |
Labour |
prob_hcw_avail_iv_abx |
[1.0, 1.0] |
||
76 |
Labour |
prob_hcw_avail_uterotonic |
[1.0, 1.0] |
||
77 |
Labour |
prob_hcw_avail_anticonvulsant |
[1.0, 1.0] |
||
78 |
Labour |
prob_hcw_avail_man_r_placenta |
[1.0, 1.0] |
||
79 |
Labour |
prob_hcw_avail_avd |
[1.0, 1.0] |
||
80 |
Labour |
prob_hcw_avail_blood_tran |
[1.0, 1.0] |
||
81 |
Labour |
prob_hcw_avail_surg |
[1.0, 1.0] |
||
82 |
Labour |
prob_hcw_avail_neo_resus |
[1.0, 1.0] |
||
83 |
Labour |
prob_hcw_avail_retained_prod |
[1.0, 1.0] |
||
84 |
Labour |
mean_hcw_competence_hc |
[[1.0, 1.0], [1.0, 1.0]] |
||
85 |
Labour |
mean_hcw_competence_hp |
[[1.0, 1.0], [1.0, 1.0]] |
||
86 |
Malaria |
prob_malaria_case_tests |
0.9999 |
Default value 0.4 |
|
87 |
Malaria |
rdt_testing_rates |
#WHO_TestData2023!A1 |
#WHO_TestData2023!A1 |
Rate_rdt_testing, default values from 2010-2023 < 0.65 |
88 |
Malaria |
scaling_factor_for_rdt_availability |
0.9999 |
0.9999 |
This is to make sure that the rdt_testing_rates of 0.9999 remain/not to be scaled up, although its defualt value is 1.2. |
89 |
NewbornOutcomes |
prob_care_seeking_for_complication |
[1.0, 1.0] |
||
90 |
NewbornOutcomes |
prob_pnc_check_newborn |
[1.0,1.0] |
||
91 |
NewbornOutcomes |
prob_timings_pnc_newborns |
[[1.0,0.0],[1.0,0.0]] |
||
92 |
PostnatalSupervisor |
prob_care_seeking_postnatal_emergency |
[1.0,1.0] |
||
93 |
PostnatalSupervisor |
prob_care_seeking_postnatal_emergency_neonate |
[1.0,1.0] |
||
94 |
PostnatalSupervisor |
odds_care_seeking_fistula_repair |
[10000.0,10000.0] |
Particularly note that the prob can never reach 1.0 by simply increaseing odds; ideally, we should make the prob param exlicit in the coding |
|
95 |
PostnatalSupervisor |
aor_cs_fistula_age_15_19 |
[0.31, 0.31] |
Remain |
|
96 |
PostnatalSupervisor |
aor_cs_fistula_age_lowest_education |
[0.69, 0.69] |
Remain |
|
97 |
PregnancySupervisor |
prob_care_seeking_ectopic_pre_rupture |
[1.0,1.0] |
||
98 |
PregnancySupervisor |
prob_seek_care_pregnancy_complication |
[1.0,1.0] |
||
99 |
PregnancySupervisor |
prob_seek_care_pregnancy_loss |
[1.0,1.0] |
||
100 |
PregnancySupervisor |
prob_seek_care_induction |
[1.0,1.0] |
||
101 |
PregnancySupervisor |
prob_anc1_months_2_to_4 |
[[1.0, 0.0, 0.0], [1.0, 0.0, 0.0]] |
||
102 |
PregnancySupervisor |
prob_anc1_months_5_to_9 |
[[0.345, 0.245, 0.28, 0.015, 0.015, 0.1], [0.41, 0.25, 0.21, 0.015, 0.015, 0.1]] |
Remain |
|
103 |
PregnancySupervisor |
odds_early_init_anc4 |
[10000.0,10000.0] |
Particularly note that the prob can never reach 1.0 by simply increaseing odds; ideally, we should make the prob param exlicit in the coding |
|
104 |
PregnancySupervisor |
aor_early_anc4_20_24 |
[1.26, 1.26] |
Remain |
|
105 |
PregnancySupervisor |
aor_early_anc4_25_29 |
[1.42, 1.42] |
Remain |
|
106 |
PregnancySupervisor |
aor_early_anc4_30_34 |
[1.48, 1.48] |
Remain |
|
107 |
PregnancySupervisor |
aor_early_anc4_35_39 |
[1.61, 1.61] |
Remain |
|
108 |
PregnancySupervisor |
aor_early_anc4_40_44 |
[1.47, 1.47] |
Remain |
|
109 |
PregnancySupervisor |
aor_early_anc4_45_49 |
[1.77, 1.77] |
Remain |
|
110 |
PregnancySupervisor |
aor_early_anc4_2010 |
[1.21, 1.21] |
Remain |
|
111 |
PregnancySupervisor |
aor_early_anc4_2015 |
[2.12,2.12] |
Remain |
|
112 |
PregnancySupervisor |
aor_early_anc4_parity_2_3 |
[0.7, 0.7] |
Remain |
|
113 |
PregnancySupervisor |
aor_early_anc4_parity_4_5 |
[0.62, 0.62] |
Remain |
|
114 |
PregnancySupervisor |
aor_early_anc4_parity_6+ |
[0.59, 0.59] |
Remain |
|
115 |
PregnancySupervisor |
aor_early_anc4_secondary_edu |
[1.24, 1.24] |
Remain |
|
116 |
PregnancySupervisor |
aor_early_anc4_tertiary_edu |
[2.35, 2.35] |
Remain |
|
117 |
PregnancySupervisor |
aor_early_anc4_richest_wealth |
[1.23, 1.23] |
Remain |
|
118 |
PregnancySupervisor |
prob_late_initiation_anc4 |
[0.3, 0.29] |
Remain |
|
119 |
PregnancySupervisor |
prob_early_initiation_anc_below4 |
[0.115, 0.101] |
Remain |
|
120 |
PregnancySupervisor |
prob_early_anc_at_facility_level_1_2 |
[[0.5, 0.5], [0.5, 0.5]] |
Remain |
|
121 |
Schisto |
delay_till_hsi_a_repeated |
1.0000001 |
||
122 |
Schisto |
delay_till_hsi_b_repeated |
1.0000001 |
||
123 |
Schisto |
prob_sent_to_lab_test_children |
0.9999 |
||
124 |
Schisto |
prob_sent_to_lab_test_adults |
0.9999 |
||
125 |
Schisto |
MDA_coverage_historical |
#MDA_historical_Coverage!A1 |
100% for 2010 onwards, incl. PSAC, SAC, Adults |
|
126 |
Schisto |
MDA_coverage_prognosed |
#MDA_prognosed_Coverage!A1 |
100% for 2010 onwards, the Frequency set to 12 for each district |
|
127 |
Stunting |
prob_stunting_diagnosed_at_generic_appt |
0.9999 |
||
128 |
Tb |
ipt_coverage |
#ipt_coverage!A1 |
100% for 2010 onwards |
|
129 |
Tb |
rate_testing_active_tb |
#NTP2019!A1 |
100% for 2010 onwards |
|
130 |
Tb |
sens_clinical |
0.9999 |
||
131 |
Tb |
spec_clinical |
0.9999 |
||
132 |
Tb |
prob_retained_ipt_6_months |
0.9999 |
ever_stroke
parameter_name |
value |
|
---|---|---|
0 |
sensitivity_of_assessment |
1 |
1 |
medication_item_code |
226 |
2 |
pr_assessed_other_symptoms |
1 |
3 |
emergency_medication_item_code |
234 |
4 |
pr_treatment_works |
0.59 |
ever_heart_attack
parameter_name |
value |
|
---|---|---|
0 |
sensitivity_of_assessment |
1 |
1 |
medication_item_code |
226 |
2 |
pr_assessed_other_symptoms |
1 |
3 |
emergency_medication_item_code |
225 |
4 |
pr_treatment_works |
0.481 |
diabetes
parameter_name |
value |
|
---|---|---|
0 |
test_item_code |
216 |
1 |
sensitivity_of_assessment |
1 |
2 |
medication_item_code |
233 |
3 |
pr_assessed_other_symptoms |
1 |
4 |
pr_treatment_works |
0.42 |
5 |
pr_diagnosed |
0.3846 |
6 |
pr_seeking_further_appt_if_drug_not_available |
1 |
hypertension
parameter_name |
value |
|
---|---|---|
0 |
sensitivity_of_assessment |
1 |
1 |
medication_item_code |
221 |
2 |
pr_assessed_other_symptoms |
1 |
3 |
pr_treatment_works |
0 |
4 |
pr_diagnosed |
0.3797 |
5 |
pr_seeking_further_appt_if_drug_not_available |
1 |
chronic_lower_back_pain
parameter_name |
value |
|
---|---|---|
0 |
sensitivity_of_assessment |
1 |
1 |
medication_item_code |
226 |
2 |
pr_assessed_other_symptoms |
1 |
3 |
pr_treatment_works |
0 |
4 |
pr_diagnosed |
0 |
5 |
pr_seeking_further_appt_if_drug_not_available |
1 |
chronic_kidney_disease
parameter_name |
value |
|
---|---|---|
0 |
test_item_code |
47 |
1 |
pr_assessed_in_generic_appt_level1 |
1 |
2 |
medication_item_code |
2064 |
3 |
pr_assessed_other_symptoms |
1 |
4 |
pr_treatment_works |
0 |
5 |
pr_diagnosed |
0.02 |
6 |
pr_seeking_further_appt_if_drug_not_available |
1 |
chronic_ischemic_hd
parameter_name |
value |
|
---|---|---|
0 |
sensitivity_of_assessment |
1 |
1 |
medication_item_code |
226 |
2 |
pr_assessed_other_symptoms |
1 |
3 |
pr_treatment_works |
0 |
4 |
pr_diagnosed |
0.05 |
5 |
pr_seeking_further_appt_if_drug_not_available |
1 |
hypertension_testing
parameter_name |
value |
|
---|---|---|
0 |
baseline_annual_probability |
1 |
1 |
rr_male |
0.8 |
2 |
rr_0_4 |
0 |
3 |
rr_5_9 |
0 |
4 |
rr_10_14 |
0 |
5 |
rr_15_19 |
0 |
6 |
rr_20_24 |
0 |
7 |
rr_25_29 |
0 |
8 |
rr_30_34 |
0 |
9 |
rr_35_39 |
0 |
10 |
rr_40_44 |
0 |
11 |
rr_45_49 |
0 |
12 |
rr_50_54 |
1 |
13 |
rr_55_59 |
1 |
14 |
rr_60_64 |
1 |
15 |
rr_65_69 |
1 |
16 |
rr_70_74 |
1 |
17 |
rr_75_79 |
1 |
18 |
rr_80_84 |
1 |
19 |
rr_85_89 |
1 |
20 |
rr_90_94 |
1 |
21 |
rr_95_99 |
1 |
22 |
rr_100 |
1 |
23 |
rr_urban |
1 |
24 |
rr_wealth_1 |
1 |
25 |
rr_wealth_2 |
1 |
26 |
rr_wealth_3 |
1 |
27 |
rr_wealth_4 |
1 |
28 |
rr_wealth_5 |
1 |
29 |
rr_bmi_1 |
1 |
30 |
rr_bmi_2 |
1 |
31 |
rr_bmi_3 |
1 |
32 |
rr_bmi_4 |
1 |
33 |
rr_bmi_5 |
1 |
34 |
rr_low_exercise |
1 |
35 |
rr_high_salt |
1 |
36 |
rr_high_sugar |
1 |
37 |
rr_tobacco |
1 |
38 |
rr_alcohol |
1 |
39 |
rr_marital_status_1 |
1 |
40 |
rr_marital_status_2 |
1 |
41 |
rr_marital_status_3 |
1 |
42 |
rr_in_education |
1 |
43 |
rr_current_education_level_1 |
1 |
44 |
rr_current_education_level_2 |
1 |
45 |
rr_current_education_level_3 |
1 |
46 |
rr_unimproved_sanitation |
1 |
47 |
rr_no_access_handwashing |
1 |
48 |
rr_no_clean_drinking_water |
1 |
49 |
rr_wood_burning_stove |
1 |
50 |
rr_diabetes |
1 |
51 |
rr_hypertension |
1 |
52 |
rr_depression |
1 |
53 |
rr_chronic_kidney_disease |
1 |
54 |
rr_chronic_lower_back_pain |
1 |
55 |
rr_chronic_ischemic_heart_disease |
1 |
56 |
rr_cancers |
1 |
57 |
rr_hiv |
1 |
58 |
rr_ever_stroke |
1 |
59 |
rr_ever_heart_attack |
1 |
60 |
rr_diabetes_on_medication |
1 |
61 |
rr_hypertension_on_medication |
1 |
62 |
rr_chronic_kidney_disease_on_medication |
1 |
63 |
rr_chronic_lower_back_pain_on_medication |
1 |
64 |
rr_chronic_ischemic_heart_disease_on_medication |
1 |
65 |
rr_stroke_on_medication |
1 |
66 |
rr_heart_attack_on_medication |
1 |
MoH_numbers_tests
year |
adults_15plus |
children0_14 |
total |
pop_size_children0_14 |
pop_size_adults15plus |
annual_testing_rate_children |
annual_testing_rate_adults |
annual_testing_rate_all_ages |
testing_yield |
|
---|---|---|---|---|---|---|---|---|---|---|
0 |
2010 |
6739321 |
7927106 |
0.021891819665512298 |
1 |
|||||
1 |
2011 |
1477659 |
147536 |
1627660 |
6848229 |
8213700 |
0.02154367209390924 |
1 |
0.10806451152438708 |
|
2 |
2012 |
1549154 |
149514 |
1706822 |
6949647 |
8511094 |
0.021513898475706752 |
1 |
0.11039716660411038 |
|
3 |
2013 |
1565738 |
136888 |
1702627 |
7045962 |
8819603 |
0.019427865208469758 |
1 |
0.10731587560859004 |
|
4 |
2014 |
1733094 |
161964 |
1895058 |
7139593 |
9137145 |
0.022685326740613927 |
1 |
0.11642738243989674 |
|
5 |
2015 |
2010480 |
215807 |
2226287 |
7232934 |
9461255 |
0.029836716331159665 |
1 |
0.13335700224790795 |
|
6 |
2016 |
2917528 |
483515 |
3401043 |
7328390 |
9791708 |
0.06597833903490398 |
1 |
0.19865791656099166 |
|
7 |
2017 |
3626027 |
539283 |
4165310 |
7428364 |
10130272 |
0.07259781561592835 |
1 |
0.2372228685645058 |
0.023 |
8 |
2018 |
4090917 |
544240 |
4635157 |
7535265 |
10477062 |
0.07222572796046324 |
1 |
0.25733249235370864 |
0.01925 |
9 |
2019 |
3648862 |
418104 |
4066966 |
7666666 |
10905594 |
0.05453530909002688 |
1 |
0.21898067332677876 |
0.014249999999999999 |
10 |
2020 |
2810062 |
261850 |
3071912 |
7790750 |
11296068 |
0.033610371273625775 |
1 |
0.16094416575879752 |
0.015 |
11 |
2021 |
0.015 |
||||||||
12 |
2022 |
|||||||||
13 |
2023 |
|||||||||
14 |
2024 |
|||||||||
15 |
2025 |
|||||||||
16 |
2026 |
|||||||||
17 |
2027 |
|||||||||
18 |
2028 |
|||||||||
19 |
2029 |
|||||||||
20 |
2030 |
|||||||||
21 |
2031 |
|||||||||
22 |
2032 |
|||||||||
23 |
2033 |
|||||||||
24 |
2034 |
|||||||||
25 |
2035 |
|||||||||
26 |
2036 |
|||||||||
27 |
2037 |
|||||||||
28 |
2038 |
|||||||||
29 |
2039 |
|||||||||
30 |
2040 |
|||||||||
31 |
2041 |
|||||||||
32 |
2042 |
|||||||||
33 |
2043 |
|||||||||
34 |
2044 |
|||||||||
35 |
2045 |
|||||||||
36 |
2046 |
|||||||||
37 |
2047 |
|||||||||
38 |
2048 |
|||||||||
39 |
2049 |
|||||||||
40 |
2050 |
spectrum_treatment_cascade
year |
age |
plhiv |
know_status |
on_art |
plhiv_virally_suppressed |
prob_art_if_dx |
virally_suppressed_on_art |
vs_assumed_value |
|
---|---|---|---|---|---|---|---|---|---|
0 |
2010 |
adults |
100 |
68.7973 |
29.6951 |
0.9999 |
100 |
yes |
|
1 |
2011 |
adults |
100 |
73.2277 |
37.6375 |
0.9999 |
100 |
yes |
|
2 |
2012 |
adults |
100 |
76.423 |
46.3159 |
42.10131 |
0.9999 |
100 |
no |
3 |
2013 |
adults |
100 |
78.7843 |
52.9497 |
47.67345 |
0.9999 |
100 |
no |
4 |
2014 |
adults |
100 |
80.8733 |
59.2378 |
51.56636 |
0.9999 |
100 |
no |
5 |
2015 |
adults |
100 |
82.7952 |
64.1071 |
57.26896 |
0.9999 |
100 |
no |
6 |
2016 |
adults |
100 |
85.3839 |
71.6873 |
65.32565 |
0.9999 |
100 |
no |
7 |
2017 |
adults |
100 |
88.3281 |
78.056 |
69.32195 |
0.9999 |
100 |
no |
8 |
2018 |
adults |
100 |
90.6581 |
84.2257 |
76.80294 |
0.9999 |
100 |
no |
9 |
2019 |
adults |
100 |
92.1484 |
85.4227 |
79.98671 |
0.9999 |
100 |
no |
10 |
2020 |
adults |
100 |
92.9485 |
88.4399 |
84.41127 |
0.9999 |
100 |
no |
11 |
2021 |
adults |
100 |
93.5013 |
87.7915 |
84.41127 |
0.9999 |
100 |
yes |
12 |
2022 |
adults |
100 |
93.9624 |
89.4291 |
84.41127 |
0.9999 |
100 |
yes |
13 |
2023 |
adults |
100 |
94.4156 |
90.9153 |
84.41127 |
0.9999 |
100 |
yes |
14 |
2024 |
adults |
100 |
94.8546 |
92.2097 |
84.41127 |
0.9999 |
100 |
yes |
15 |
2025 |
adults |
100 |
95.2839 |
93.2709 |
84.41127 |
0.9999 |
100 |
yes |
16 |
2010 |
children |
100 |
12.0082 |
12.0082 |
0.9999 |
100 |
yes |
|
17 |
2011 |
children |
100 |
16.3359 |
16.3359 |
0.9999 |
100 |
yes |
|
18 |
2012 |
children |
100 |
21.3058 |
21.3058 |
16.4257 |
0.9999 |
100 |
no |
19 |
2013 |
children |
100 |
26.7224 |
26.7224 |
18.72319 |
0.9999 |
100 |
no |
20 |
2014 |
children |
100 |
31.232 |
31.232 |
19.97077 |
0.9999 |
100 |
no |
21 |
2015 |
children |
100 |
36.8552 |
36.8552 |
24.14631 |
0.9999 |
100 |
no |
22 |
2016 |
children |
100 |
45.6402 |
45.6402 |
30.28785 |
0.9999 |
100 |
no |
23 |
2017 |
children |
100 |
55.3097 |
55.3097 |
31.84964 |
0.9999 |
100 |
no |
24 |
2018 |
children |
100 |
59.9339 |
59.9339 |
34.86357 |
0.9999 |
100 |
no |
25 |
2019 |
children |
100 |
70.1143 |
70.1143 |
45.20806 |
0.9999 |
100 |
no |
26 |
2020 |
children |
100 |
74.5157 |
74.5157 |
55.22878 |
0.9999 |
100 |
no |
27 |
2021 |
children |
100 |
75.0737 |
74.8426 |
55.22878 |
0.9999 |
100 |
yes |
28 |
2022 |
children |
100 |
77.5224 |
77.263 |
55.22878 |
0.9999 |
100 |
yes |
29 |
2023 |
children |
100 |
79.6966 |
79.4016 |
55.22878 |
0.9999 |
100 |
yes |
30 |
2024 |
children |
100 |
81.5702 |
81.2117 |
55.22878 |
0.9999 |
100 |
yes |
31 |
2025 |
children |
100 |
83.7223 |
83.3131 |
55.22878 |
0.9999 |
100 |
yes |
MDA_historical_Coverage
District/Year |
PSAC |
SAC |
Adults |
|
---|---|---|---|---|
0 |
Blantyre/2015 |
0.9999 |
0.9999 |
0.9999 |
1 |
Blantyre/2016 |
0.9999 |
0.9999 |
0.9999 |
2 |
Blantyre/2017 |
0.9999 |
0.9999 |
0.9999 |
3 |
Blantyre/2018 |
0.9999 |
0.9999 |
0.9999 |
4 |
Chiradzulu/2015 |
0.9999 |
0.9999 |
0.9999 |
5 |
Chiradzulu/2016 |
0.9999 |
0.9999 |
0.9999 |
6 |
Chiradzulu/2017 |
0.9999 |
0.9999 |
0.9999 |
7 |
Chiradzulu/2018 |
0.9999 |
0.9999 |
0.9999 |
8 |
Mulanje/2015 |
0.9999 |
0.9999 |
0.9999 |
9 |
Mulanje/2016 |
0.9999 |
0.9999 |
0.9999 |
10 |
Mulanje/2017 |
0.9999 |
0.9999 |
0.9999 |
11 |
Mulanje/2018 |
0.9999 |
0.9999 |
0.9999 |
12 |
Nkhotakota/2015 |
0.9999 |
0.9999 |
0.9999 |
13 |
Nkhotakota/2016 |
0.9999 |
0.9999 |
0.9999 |
14 |
Nkhotakota/2017 |
0.9999 |
0.9999 |
0.9999 |
15 |
Nkhotakota/2018 |
0.9999 |
0.9999 |
0.9999 |
16 |
Nsanje/2015 |
0.9999 |
0.9999 |
0.9999 |
17 |
Nsanje/2016 |
0.9999 |
0.9999 |
0.9999 |
18 |
Nsanje/2017 |
0.9999 |
0.9999 |
0.9999 |
19 |
Nsanje/2018 |
0.9999 |
0.9999 |
0.9999 |
20 |
Phalombe/2015 |
0.9999 |
0.9999 |
0.9999 |
21 |
Phalombe/2016 |
0.9999 |
0.9999 |
0.9999 |
22 |
Phalombe/2017 |
0.9999 |
0.9999 |
0.9999 |
23 |
Phalombe/2018 |
0.9999 |
0.9999 |
0.9999 |
24 |
Balaka/2015 |
0.9999 |
0.9999 |
0.9999 |
25 |
Balaka/2016 |
0.9999 |
0.9999 |
0.9999 |
26 |
Balaka/2017 |
0.9999 |
0.9999 |
0.9999 |
27 |
Balaka/2018 |
0.9999 |
0.9999 |
0.9999 |
28 |
Blantyre City/2015 |
0.9999 |
0.9999 |
0.9999 |
29 |
Blantyre City/2016 |
0.9999 |
0.9999 |
0.9999 |
30 |
Blantyre City/2017 |
0.9999 |
0.9999 |
0.9999 |
31 |
Blantyre City/2018 |
0.9999 |
0.9999 |
0.9999 |
32 |
Chikwawa/2015 |
0.9999 |
0.9999 |
0.9999 |
33 |
Chikwawa/2016 |
0.9999 |
0.9999 |
0.9999 |
34 |
Chikwawa/2017 |
0.9999 |
0.9999 |
0.9999 |
35 |
Chikwawa/2018 |
0.9999 |
0.9999 |
0.9999 |
36 |
Chitipa/2015 |
0.9999 |
0.9999 |
0.9999 |
37 |
Chitipa/2016 |
0.9999 |
0.9999 |
0.9999 |
38 |
Chitipa/2017 |
0.9999 |
0.9999 |
0.9999 |
39 |
Chitipa/2018 |
0.9999 |
0.9999 |
0.9999 |
40 |
Dedza/2015 |
0.9999 |
0.9999 |
0.9999 |
41 |
Dedza/2016 |
0.9999 |
0.9999 |
0.9999 |
42 |
Dedza/2017 |
0.9999 |
0.9999 |
0.9999 |
43 |
Dedza/2018 |
0.9999 |
0.9999 |
0.9999 |
44 |
Dowa/2015 |
0.9999 |
0.9999 |
0.9999 |
45 |
Dowa/2016 |
0.9999 |
0.9999 |
0.9999 |
46 |
Dowa/2017 |
0.9999 |
0.9999 |
0.9999 |
47 |
Dowa/2018 |
0.9999 |
0.9999 |
0.9999 |
48 |
Karonga/2015 |
0.9999 |
0.9999 |
0.9999 |
49 |
Karonga/2016 |
0.9999 |
0.9999 |
0.9999 |
50 |
Karonga/2017 |
0.9999 |
0.9999 |
0.9999 |
51 |
Karonga/2018 |
0.9999 |
0.9999 |
0.9999 |
52 |
Kasungu/2015 |
0.9999 |
0.9999 |
0.9999 |
53 |
Kasungu/2016 |
0.9999 |
0.9999 |
0.9999 |
54 |
Kasungu/2017 |
0.9999 |
0.9999 |
0.9999 |
55 |
Kasungu/2018 |
0.9999 |
0.9999 |
0.9999 |
56 |
Likoma/2015 |
0.9999 |
0.9999 |
0.9999 |
57 |
Likoma/2016 |
0.9999 |
0.9999 |
0.9999 |
58 |
Likoma/2017 |
0.9999 |
0.9999 |
0.9999 |
59 |
Likoma/2018 |
0.9999 |
0.9999 |
0.9999 |
60 |
Lilongwe/2015 |
0.9999 |
0.9999 |
0.9999 |
61 |
Lilongwe/2016 |
0.9999 |
0.9999 |
0.9999 |
62 |
Lilongwe/2017 |
0.9999 |
0.9999 |
0.9999 |
63 |
Lilongwe/2018 |
0.9999 |
0.9999 |
0.9999 |
64 |
Lilongwe City/2015 |
0.9999 |
0.9999 |
0.9999 |
65 |
Lilongwe City/2016 |
0.9999 |
0.9999 |
0.9999 |
66 |
Lilongwe City/2017 |
0.9999 |
0.9999 |
0.9999 |
67 |
Lilongwe City/2018 |
0.9999 |
0.9999 |
0.9999 |
68 |
Machinga/2015 |
0.9999 |
0.9999 |
0.9999 |
69 |
Machinga/2016 |
0.9999 |
0.9999 |
0.9999 |
70 |
Machinga/2017 |
0.9999 |
0.9999 |
0.9999 |
71 |
Machinga/2018 |
0.9999 |
0.9999 |
0.9999 |
72 |
Mangochi/2015 |
0.9999 |
0.9999 |
0.9999 |
73 |
Mangochi/2016 |
0.9999 |
0.9999 |
0.9999 |
74 |
Mangochi/2017 |
0.9999 |
0.9999 |
0.9999 |
75 |
Mangochi/2018 |
0.9999 |
0.9999 |
0.9999 |
76 |
Mchinji/2015 |
0.9999 |
0.9999 |
0.9999 |
77 |
Mchinji/2016 |
0.9999 |
0.9999 |
0.9999 |
78 |
Mchinji/2017 |
0.9999 |
0.9999 |
0.9999 |
79 |
Mchinji/2018 |
0.9999 |
0.9999 |
0.9999 |
80 |
Mwanza/2015 |
0.9999 |
0.9999 |
0.9999 |
81 |
Mwanza/2016 |
0.9999 |
0.9999 |
0.9999 |
82 |
Mwanza/2017 |
0.9999 |
0.9999 |
0.9999 |
83 |
Mwanza/2018 |
0.9999 |
0.9999 |
0.9999 |
84 |
Mzimba/2015 |
0.9999 |
0.9999 |
0.9999 |
85 |
Mzimba/2016 |
0.9999 |
0.9999 |
0.9999 |
86 |
Mzimba/2017 |
0.9999 |
0.9999 |
0.9999 |
87 |
Mzimba/2018 |
0.9999 |
0.9999 |
0.9999 |
88 |
Mzuzu City/2015 |
0.9999 |
0.9999 |
0.9999 |
89 |
Mzuzu City/2016 |
0.9999 |
0.9999 |
0.9999 |
90 |
Mzuzu City/2017 |
0.9999 |
0.9999 |
0.9999 |
91 |
Mzuzu City/2018 |
0.9999 |
0.9999 |
0.9999 |
92 |
Neno/2015 |
0.9999 |
0.9999 |
0.9999 |
93 |
Neno/2016 |
0.9999 |
0.9999 |
0.9999 |
94 |
Neno/2017 |
0.9999 |
0.9999 |
0.9999 |
95 |
Neno/2018 |
0.9999 |
0.9999 |
0.9999 |
96 |
Nkhata Bay/2015 |
0.9999 |
0.9999 |
0.9999 |
97 |
Nkhata Bay/2016 |
0.9999 |
0.9999 |
0.9999 |
98 |
Nkhata Bay/2017 |
0.9999 |
0.9999 |
0.9999 |
99 |
Nkhata Bay/2018 |
0.9999 |
0.9999 |
0.9999 |
100 |
Ntcheu/2015 |
0.9999 |
0.9999 |
0.9999 |
101 |
Ntcheu/2016 |
0.9999 |
0.9999 |
0.9999 |
102 |
Ntcheu/2017 |
0.9999 |
0.9999 |
0.9999 |
103 |
Ntcheu/2018 |
0.9999 |
0.9999 |
0.9999 |
104 |
Ntchisi/2015 |
0.9999 |
0.9999 |
0.9999 |
105 |
Ntchisi/2016 |
0.9999 |
0.9999 |
0.9999 |
106 |
Ntchisi/2017 |
0.9999 |
0.9999 |
0.9999 |
107 |
Ntchisi/2018 |
0.9999 |
0.9999 |
0.9999 |
108 |
Rumphi/2015 |
0.9999 |
0.9999 |
0.9999 |
109 |
Rumphi/2016 |
0.9999 |
0.9999 |
0.9999 |
110 |
Rumphi/2017 |
0.9999 |
0.9999 |
0.9999 |
111 |
Rumphi/2018 |
0.9999 |
0.9999 |
0.9999 |
112 |
Salima/2015 |
0.9999 |
0.9999 |
0.9999 |
113 |
Salima/2016 |
0.9999 |
0.9999 |
0.9999 |
114 |
Salima/2017 |
0.9999 |
0.9999 |
0.9999 |
115 |
Salima/2018 |
0.9999 |
0.9999 |
0.9999 |
116 |
Thyolo/2015 |
0.9999 |
0.9999 |
0.9999 |
117 |
Thyolo/2016 |
0.9999 |
0.9999 |
0.9999 |
118 |
Thyolo/2017 |
0.9999 |
0.9999 |
0.9999 |
119 |
Thyolo/2018 |
0.9999 |
0.9999 |
0.9999 |
120 |
Zomba/2015 |
0.9999 |
0.9999 |
0.9999 |
121 |
Zomba/2016 |
0.9999 |
0.9999 |
0.9999 |
122 |
Zomba/2017 |
0.9999 |
0.9999 |
0.9999 |
123 |
Zomba/2018 |
0.9999 |
0.9999 |
0.9999 |
124 |
Zomba City/2015 |
0.9999 |
0.9999 |
0.9999 |
125 |
Zomba City/2016 |
0.9999 |
0.9999 |
0.9999 |
126 |
Zomba City/2017 |
0.9999 |
0.9999 |
0.9999 |
127 |
Zomba City/2018 |
0.9999 |
0.9999 |
0.9999 |
MDA_prognosed_Coverage
District/Frequency |
PSAC |
SAC |
Adults |
|
---|---|---|---|---|
0 |
Blantyre/12 |
0.9999 |
0.9999 |
0.9999 |
1 |
Chiradzulu/12 |
0.9999 |
0.9999 |
0.9999 |
2 |
Mulanje/12 |
0.9999 |
0.9999 |
0.9999 |
3 |
Nkhotakota/12 |
0.9999 |
0.9999 |
0.9999 |
4 |
Nsanje/12 |
0.9999 |
0.9999 |
0.9999 |
5 |
Phalombe/12 |
0.9999 |
0.9999 |
0.9999 |
6 |
Balaka/0 |
0.9999 |
0.9999 |
0.9999 |
7 |
Blantyre City/0 |
0.9999 |
0.9999 |
0.9999 |
8 |
Chikwawa/0 |
0.9999 |
0.9999 |
0.9999 |
9 |
Chitipa/0 |
0.9999 |
0.9999 |
0.9999 |
10 |
Dedza/0 |
0.9999 |
0.9999 |
0.9999 |
11 |
Dowa/0 |
0.9999 |
0.9999 |
0.9999 |
12 |
Karonga/0 |
0.9999 |
0.9999 |
0.9999 |
13 |
Kasungu/0 |
0.9999 |
0.9999 |
0.9999 |
14 |
Likoma/0 |
0.9999 |
0.9999 |
0.9999 |
15 |
Lilongwe/0 |
0.9999 |
0.9999 |
0.9999 |
16 |
Lilongwe City/0 |
0.9999 |
0.9999 |
0.9999 |
17 |
Machinga/0 |
0.9999 |
0.9999 |
0.9999 |
18 |
Mangochi/0 |
0.9999 |
0.9999 |
0.9999 |
19 |
Mchinji/0 |
0.9999 |
0.9999 |
0.9999 |
20 |
Mwanza/0 |
0.9999 |
0.9999 |
0.9999 |
21 |
Mzimba/0 |
0.9999 |
0.9999 |
0.9999 |
22 |
Mzuzu City/0 |
0.9999 |
0.9999 |
0.9999 |
23 |
Neno/0 |
0.9999 |
0.9999 |
0.9999 |
24 |
Nkhata Bay/0 |
0.9999 |
0.9999 |
0.9999 |
25 |
Ntcheu/0 |
0.9999 |
0.9999 |
0.9999 |
26 |
Ntchisi/0 |
0.9999 |
0.9999 |
0.9999 |
27 |
Rumphi/0 |
0.9999 |
0.9999 |
0.9999 |
28 |
Salima/0 |
0.9999 |
0.9999 |
0.9999 |
29 |
Thyolo/0 |
0.9999 |
0.9999 |
0.9999 |
30 |
Zomba/0 |
0.9999 |
0.9999 |
0.9999 |
31 |
Zomba City/0 |
0.9999 |
0.9999 |
0.9999 |
ipt_coverage
year |
coverage_plhiv |
source |
coverage_paediatric |
source2 |
|
---|---|---|---|---|---|
0 |
2010 |
0.9999 |
not_implemented |
100 |
|
1 |
2011 |
0.9999 |
not_implemented |
100 |
|
2 |
2012 |
0.9999 |
not_implemented |
100 |
|
3 |
2013 |
0.9999 |
not_implemented |
100 |
|
4 |
2014 |
0.9999 |
not_implemented |
100 |
NTP2019 |
5 |
2015 |
0.9999 |
not_implemented |
100 |
NTP2019 |
6 |
2016 |
0.9999 |
not_implemented |
100 |
NTP2019 |
7 |
2017 |
0.9999 |
not_implemented |
100 |
NTP2019 |
8 |
2018 |
0.9999 |
MoH_quart_repQ1 |
100 |
NTP2019 |
9 |
2019 |
0.9999 |
MoH_quart_repQ2 |
100 |
|
10 |
2020 |
0.9999 |
MoH_quart_repQ3 |
100 |
|
11 |
2021 |
0.9999 |
no_data |
100 |
|
12 |
2022 |
0.9999 |
no_data |
100 |
|
13 |
2023 |
0.9999 |
no_data |
100 |
|
14 |
2024 |
0.9999 |
no_data |
100 |
|
15 |
2025 |
0.9999 |
no_data |
100 |
|
16 |
2026 |
0.9999 |
no_data |
100 |
|
17 |
2027 |
0.9999 |
no_data |
100 |
|
18 |
2028 |
0.9999 |
no_data |
100 |
|
19 |
2029 |
0.9999 |
no_data |
100 |
|
20 |
2030 |
0.9999 |
no_data |
100 |
|
21 |
2031 |
0.9999 |
no_data |
100 |
|
22 |
2032 |
0.9999 |
no_data |
100 |
|
23 |
2033 |
0.9999 |
no_data |
100 |
|
24 |
2034 |
0.9999 |
no_data |
100 |
|
25 |
2035 |
0.9999 |
no_data |
100 |
|
26 |
2036 |
0.9999 |
no_data |
100 |
|
27 |
2037 |
0.9999 |
no_data |
100 |
|
28 |
2038 |
0.9999 |
no_data |
100 |
|
29 |
2039 |
0.9999 |
no_data |
100 |
|
30 |
2040 |
0.9999 |
no_data |
100 |
|
31 |
2041 |
0.9999 |
no_data |
100 |
|
32 |
2042 |
0.9999 |
no_data |
100 |
|
33 |
2043 |
0.9999 |
no_data |
100 |
|
34 |
2044 |
0.9999 |
no_data |
100 |
|
35 |
2045 |
0.9999 |
no_data |
100 |
|
36 |
2046 |
0.9999 |
no_data |
100 |
|
37 |
2047 |
0.9999 |
no_data |
100 |
|
38 |
2048 |
0.9999 |
no_data |
100 |
|
39 |
2049 |
0.9999 |
no_data |
100 |
|
40 |
2050 |
0.9999 |
no_data |
100 |
NTP2019
year |
case_notification_rate_per_100k |
treatment_coverage |
treatment_success_rates |
death_rate |
percent_hiv_positive |
number_notified_mdr_cases |
percent_mdr_treatment_success |
percent_death_mdr_cases |
coverage_ipt_paediatric_contacts |
|
---|---|---|---|---|---|---|---|---|---|---|
0 |
2010 |
99.9999 |
||||||||
1 |
2011 |
99.9999 |
82.7 |
10.7 |
||||||
2 |
2012 |
138.0001 |
99.9999 |
81.8 |
10.7 |
27 |
63.2 |
31.6 |
||
3 |
2013 |
126.0001 |
99.9999 |
83.3 |
9.8 |
91 |
52.6 |
36.8 |
||
4 |
2014 |
112.0001 |
99.9999 |
85 |
8.9 |
106 |
58.6 |
34 |
35.0001 |
|
5 |
2015 |
105.0001 |
99.9999 |
81.6 |
10.6 |
42.6 |
107 |
60.9 |
32.8 |
42.0001 |
6 |
2016 |
101.0001 |
99.9999 |
82.1 |
10.3 |
38.8 |
66 |
58.6 |
29.3 |
51.0001 |
7 |
2017 |
95.0001 |
99.9999 |
86 |
9.7 |
39.1 |
85 |
55 |
35.0001 |
61.0001 |
8 |
2018 |
88.0001 |
99.9999 |
87.2 |
8.6 |
38.5 |
126 |
68.8 |
57.0001 |
|
9 |
2019 |
92.0001 |
99.9999 |
35.5 |
104 |
57.0001 |
||||
10 |
2020 |
76 |
99.9999 |
89 |
8 |
45 |
97 |
76 |
48 |
|
11 |
2021 |
99.9999 |
41 |
WHO_TestData2023
Year |
NumSuspectedCasesTestedByRDT |
NumPositiveCasesTestedByRDT |
NumSuspectedCasesTestedByMicroscopy |
NumPositiveCasesTestedByMicroscopy |
NumTreated |
NumMalariaCases |
TreatmentCoverage |
Population |
Rate_rdt_testing |
|
---|---|---|---|---|---|---|---|---|---|---|
0 |
2010 |
5516206 |
14718422 |
0.9999 |
||||||
1 |
2011 |
580708 |
253973 |
166959 |
50526 |
5460330 |
15146094 |
0.9999 |
||
2 |
2012 |
2763986 |
1281846 |
103754 |
283138 |
4929530 |
15581251 |
0.9999 |
||
3 |
2013 |
3029020 |
1236391 |
129575 |
44501 |
4547495 |
16024775 |
0.9999 |
||
4 |
2014 |
5344724 |
2827675 |
127752 |
77635 |
4265161 |
16477966 |
0.9999 |
||
5 |
2015 |
7030084 |
3585315 |
240212 |
75923 |
4032938 |
16938942 |
0.9999 |
||
6 |
2016 |
8661237 |
4730835 |
216643 |
96538 |
3868572 |
17405624 |
0.9999 |
||
7 |
2017 |
9413944 |
4901344 |
198534 |
46099 |
3851092 |
17881167 |
0.9999 |
||
8 |
2018 |
11384109 |
5830741 |
132475 |
34735 |
7043006 |
3782274 |
1.8621088794730365 |
18367883 |
0.9999 |
9 |
2019 |
10861320 |
5153779 |
406907 |
30328 |
5089716 |
3835146 |
1.327124443241535 |
18867337 |
0.9999 |
10 |
2020 |
12439185 |
7057864 |
119996 |
81201 |
7095977 |
4370301 |
1.6236815267415219 |
19377061 |
0.9999 |
11 |
2021 |
19889742 |
0.9999 |
|||||||
12 |
2022 |
20405317 |
0.9999 |
|||||||
13 |
2023 |
20931751 |
0.9999 |
|||||||
14 |
2024 |