Datasets:
id int64 | facility_level string | facility_id string | region_type string | malaria_endemicity string | pmi_supported int64 | has_microscopy int64 | lmis_type string | commodity_name string | commodity_category string | target_age_group string | pack_size int64 | unit_cost_usd float64 | year int64 | month int64 | transmission_season int64 | suspected_malaria_cases int64 | confirmed_malaria_cases int64 | severe_malaria_cases int64 | available_on_survey_day int64 | stocked_out_in_last_6m int64 | stockout_days_last_6m int64 | stockout_during_peak_season int64 | stockout_cause string | test_before_treat_rate float64 | patients_tested int64 | presumptive_treatment int64 | act_courses_dispensed int64 | months_of_stock float64 | last_resupply_days_ago int64 | order_fill_rate_pct float64 | patients_untreated_no_act int64 | referred_for_severe_malaria int64 | malaria_deaths int64 | report_submitted int64 | report_timely int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | health_centre | MAL_0023 | rural | mesoendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,021 | 10 | 1 | 66 | 29 | 4 | 1 | 0 | 0 | 0 | not_applicable | 0.43 | 28 | 38 | 30 | 1.7 | 43 | 47.8 | 0 | 0 | 2 | 0 | 0 |
2 | health_centre | MAL_0169 | peri_urban | hyperendemic | 1 | 1 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,022 | 10 | 1 | 61 | 30 | 2 | 1 | 1 | 5 | 1 | demand_surge_epidemic | 0.64 | 39 | 22 | 29 | 1 | 47 | 59.8 | 0 | 0 | 0 | 0 | 0 |
3 | health_centre | MAL_0159 | peri_urban | holoendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,023 | 2 | 0 | 28 | 13 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.67 | 18 | 10 | 3 | 1.4 | 73 | 66.8 | 0 | 0 | 0 | 1 | 1 |
4 | health_centre | MAL_0087 | peri_urban | hyperendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,022 | 6 | 1 | 33 | 18 | 3 | 1 | 0 | 0 | 0 | not_applicable | 0.47 | 15 | 18 | 14 | 1.3 | 60 | 65.3 | 0 | 0 | 0 | 1 | 1 |
5 | health_centre | MAL_0124 | rural | hyperendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,023 | 9 | 1 | 50 | 19 | 3 | 0 | 0 | 0 | 0 | not_applicable | 0.64 | 0 | 50 | 0 | 0.7 | 13 | 43.7 | 10 | 1 | 0 | 1 | 0 |
6 | health_centre | MAL_0137 | rural | mesoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,023 | 3 | 0 | 27 | 14 | 0 | 1 | 1 | 16 | 1 | PMI_shipment_delay | 0.73 | 19 | 8 | 6 | 1 | 52 | 52.2 | 0 | 0 | 0 | 1 | 0 |
7 | health_centre | MAL_0074 | rural | hyperendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,021 | 1 | 0 | 25 | 14 | 1 | 1 | 1 | 8 | 1 | national_stockout | 0.68 | 17 | 8 | 13 | 1.6 | 119 | 32.9 | 0 | 0 | 0 | 1 | 0 |
8 | health_centre | MAL_0182 | rural | holoendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,022 | 9 | 1 | 50 | 32 | 3 | 0 | 0 | 0 | 0 | not_applicable | 0.6 | 0 | 50 | 0 | 1.3 | 39 | 38.8 | 0 | 1 | 1 | 0 | 0 |
9 | health_centre | MAL_0056 | rural | hyperendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,023 | 11 | 1 | 50 | 36 | 3 | 0 | 1 | 2 | 1 | funding_gap | 0.72 | 0 | 50 | 0 | 0.7 | 15 | 52.1 | 0 | 1 | 0 | 1 | 1 |
10 | health_centre | MAL_0070 | rural | holoendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,023 | 2 | 0 | 26 | 13 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.49 | 12 | 14 | 10 | 3 | 44 | 78.1 | 0 | 0 | 0 | 0 | 0 |
11 | health_centre | MAL_0125 | rural | hyperendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,021 | 1 | 0 | 24 | 18 | 4 | 1 | 0 | 0 | 0 | not_applicable | 0.47 | 11 | 13 | 5 | 1.6 | 86 | 50.1 | 0 | 0 | 0 | 1 | 0 |
12 | health_centre | MAL_0240 | rural | holoendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,024 | 11 | 1 | 66 | 27 | 1 | 0 | 1 | 1 | 0 | PMI_shipment_delay | 0.5 | 0 | 66 | 0 | 1.6 | 17 | 54.4 | 0 | 0 | 0 | 1 | 0 |
13 | health_centre | MAL_0129 | peri_urban | hyperendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,024 | 9 | 1 | 68 | 36 | 3 | 1 | 1 | 1 | 0 | national_stockout | 0.61 | 41 | 27 | 23 | 2.9 | 38 | 41.3 | 0 | 0 | 1 | 0 | 0 |
14 | health_centre | MAL_0157 | rural | holoendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,023 | 8 | 1 | 68 | 35 | 2 | 1 | 1 | 1 | 1 | quantification_seasonal_error | 0.51 | 34 | 34 | 31 | 0.5 | 13 | 77.5 | 0 | 0 | 1 | 1 | 1 |
15 | health_centre | MAL_0115 | rural | mesoendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,023 | 7 | 1 | 59 | 39 | 3 | 0 | 1 | 43 | 1 | quality_rejection | 0.54 | 0 | 59 | 0 | 0.4 | 20 | 80.7 | 0 | 1 | 2 | 0 | 0 |
16 | health_centre | MAL_0023 | rural | holoendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,022 | 4 | 0 | 26 | 7 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.74 | 0 | 26 | 0 | 0 | 23 | 66.9 | 2 | 0 | 0 | 1 | 0 |
17 | health_centre | MAL_0182 | rural | mesoendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,024 | 6 | 1 | 63 | 28 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.42 | 26 | 37 | 24 | 3.6 | 47 | 45.7 | 0 | 0 | 0 | 1 | 1 |
18 | health_centre | MAL_0163 | rural | hypoendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,024 | 12 | 0 | 27 | 20 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.4 | 10 | 17 | 9 | 0.8 | 2 | 65.9 | 0 | 0 | 0 | 1 | 0 |
19 | health_centre | MAL_0011 | peri_urban | mesoendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,024 | 11 | 1 | 59 | 37 | 1 | 1 | 1 | 38 | 1 | funding_gap | 0.61 | 35 | 24 | 31 | 1.7 | 5 | 28.1 | 0 | 0 | 0 | 1 | 0 |
20 | health_centre | MAL_0061 | rural | hypoendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,023 | 1 | 0 | 31 | 14 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.56 | 17 | 14 | 8 | 1.1 | 38 | 44.7 | 0 | 0 | 0 | 1 | 0 |
21 | health_centre | MAL_0131 | rural | holoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,021 | 12 | 0 | 32 | 21 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.47 | 15 | 17 | 21 | 1.6 | 54 | 63.4 | 0 | 0 | 0 | 0 | 0 |
22 | health_centre | MAL_0135 | rural | mesoendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,024 | 4 | 0 | 19 | 11 | 1 | 1 | 1 | 6 | 1 | demand_surge_epidemic | 0.55 | 10 | 9 | 11 | 0.8 | 19 | 26.9 | 0 | 0 | 0 | 1 | 0 |
23 | health_centre | MAL_0119 | peri_urban | hyperendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,024 | 6 | 1 | 59 | 36 | 4 | 0 | 0 | 0 | 0 | not_applicable | 0.56 | 0 | 59 | 0 | 2.5 | 15 | 55.4 | 0 | 1 | 1 | 0 | 0 |
24 | health_centre | MAL_0096 | urban | holoendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,021 | 6 | 1 | 48 | 24 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.71 | 0 | 48 | 0 | 2.9 | 79 | 35.5 | 0 | 0 | 2 | 0 | 0 |
25 | health_centre | MAL_0112 | peri_urban | mesoendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,022 | 10 | 1 | 59 | 38 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.43 | 0 | 59 | 0 | 0.7 | 12 | 79.1 | 0 | 0 | 0 | 0 | 0 |
26 | health_centre | MAL_0011 | rural | holoendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,024 | 6 | 1 | 28 | 17 | 2 | 1 | 1 | 58 | 0 | demand_surge_epidemic | 0.52 | 14 | 14 | 14 | 2 | 8 | 68.6 | 0 | 0 | 0 | 0 | 0 |
27 | health_centre | MAL_0083 | rural | mesoendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,024 | 6 | 1 | 57 | 22 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.56 | 31 | 26 | 15 | 2.9 | 20 | 55.6 | 0 | 0 | 1 | 1 | 1 |
28 | health_centre | MAL_0036 | urban | holoendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,023 | 8 | 1 | 55 | 32 | 4 | 0 | 1 | 15 | 0 | quality_rejection | 0.4 | 0 | 55 | 0 | 2.1 | 51 | 33.2 | 0 | 1 | 2 | 1 | 0 |
29 | health_centre | MAL_0215 | rural | hyperendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,021 | 6 | 1 | 57 | 35 | 1 | 1 | 1 | 1 | 0 | expired_stock | 0.6 | 34 | 23 | 27 | 0.3 | 32 | 61.6 | 0 | 0 | 0 | 0 | 0 |
30 | health_centre | MAL_0059 | urban | hyperendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,021 | 11 | 1 | 50 | 35 | 3 | 1 | 0 | 0 | 0 | not_applicable | 0.51 | 25 | 25 | 30 | 1.6 | 37 | 66.7 | 0 | 0 | 0 | 0 | 0 |
31 | health_centre | MAL_0106 | rural | holoendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,021 | 10 | 1 | 61 | 34 | 2 | 1 | 1 | 3 | 1 | district_distribution_delay | 0.57 | 34 | 27 | 36 | 1.4 | 54 | 57.7 | 0 | 0 | 0 | 1 | 0 |
32 | health_centre | MAL_0097 | peri_urban | hypoendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,024 | 3 | 0 | 26 | 12 | 0 | 1 | 1 | 19 | 1 | district_distribution_delay | 0.6 | 15 | 11 | 9 | 2.8 | 45 | 76.8 | 0 | 0 | 0 | 0 | 0 |
33 | health_centre | MAL_0064 | rural | mesoendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,023 | 10 | 1 | 37 | 18 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.45 | 16 | 21 | 12 | 0 | 1 | 44.3 | 0 | 0 | 0 | 1 | 1 |
34 | health_centre | MAL_0213 | peri_urban | holoendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,022 | 2 | 0 | 22 | 13 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.55 | 12 | 10 | 10 | 0.3 | 10 | 68.3 | 0 | 0 | 0 | 0 | 0 |
35 | health_centre | MAL_0117 | peri_urban | hyperendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,023 | 11 | 1 | 61 | 35 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.56 | 34 | 27 | 34 | 1.6 | 54 | 60.4 | 0 | 0 | 0 | 1 | 1 |
36 | health_centre | MAL_0176 | peri_urban | hyperendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,024 | 8 | 1 | 59 | 29 | 3 | 0 | 0 | 0 | 0 | not_applicable | 0.69 | 0 | 59 | 0 | 0.7 | 20 | 67.6 | 5 | 2 | 1 | 1 | 1 |
37 | health_centre | MAL_0215 | peri_urban | holoendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,024 | 1 | 0 | 28 | 19 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.6 | 16 | 12 | 17 | 0.2 | 1 | 56.8 | 0 | 0 | 2 | 1 | 1 |
38 | health_centre | MAL_0143 | rural | hyperendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,022 | 11 | 1 | 48 | 16 | 0 | 0 | 1 | 3 | 1 | demand_surge_epidemic | 0.42 | 0 | 48 | 0 | 2.2 | 41 | 77.3 | 0 | 0 | 0 | 1 | 0 |
39 | health_centre | MAL_0179 | rural | hyperendemic | 1 | 1 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,024 | 12 | 0 | 25 | 11 | 1 | 0 | 1 | 25 | 1 | global_fund_delay | 0.41 | 10 | 15 | 0 | 0 | 65 | 58.4 | 0 | 0 | 0 | 0 | 0 |
40 | health_centre | MAL_0163 | rural | hyperendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,024 | 9 | 1 | 68 | 34 | 2 | 0 | 1 | 6 | 0 | quantification_seasonal_error | 0.59 | 0 | 68 | 0 | 5.6 | 6 | 47.4 | 0 | 1 | 2 | 1 | 1 |
41 | health_centre | MAL_0085 | peri_urban | holoendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,023 | 5 | 0 | 21 | 11 | 1 | 1 | 1 | 8 | 1 | global_fund_delay | 0.58 | 12 | 9 | 4 | 2.7 | 198 | 29.6 | 0 | 0 | 0 | 1 | 1 |
42 | health_centre | MAL_0078 | rural | hypoendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,024 | 10 | 1 | 79 | 46 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.48 | 0 | 79 | 0 | 1.3 | 27 | 53.3 | 0 | 1 | 1 | 0 | 0 |
43 | health_centre | MAL_0185 | peri_urban | hyperendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,024 | 4 | 0 | 17 | 7 | 0 | 1 | 1 | 5 | 0 | facility_ordering_late | 0.72 | 12 | 5 | 8 | 3.4 | 44 | 53.2 | 0 | 0 | 0 | 0 | 0 |
44 | health_centre | MAL_0019 | rural | hyperendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,023 | 11 | 1 | 55 | 30 | 2 | 0 | 1 | 10 | 1 | global_fund_delay | 0.66 | 0 | 55 | 0 | 2.8 | 87 | 71.3 | 0 | 1 | 0 | 1 | 0 |
45 | health_centre | MAL_0165 | rural | mesoendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,023 | 3 | 0 | 23 | 16 | 4 | 0 | 1 | 24 | 1 | theft_diversion | 0.52 | 0 | 23 | 0 | 0.9 | 17 | 58.5 | 0 | 1 | 1 | 1 | 0 |
46 | health_centre | MAL_0162 | rural | hyperendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,023 | 4 | 0 | 25 | 9 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.63 | 0 | 25 | 0 | 0.1 | 106 | 53.5 | 15 | 0 | 0 | 1 | 0 |
47 | health_centre | MAL_0178 | rural | hyperendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,024 | 5 | 0 | 25 | 16 | 1 | 1 | 1 | 19 | 1 | demand_surge_epidemic | 0.51 | 12 | 13 | 18 | 2.3 | 17 | 79.6 | 0 | 0 | 0 | 0 | 0 |
48 | health_centre | MAL_0188 | rural | holoendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,021 | 3 | 0 | 22 | 12 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.51 | 11 | 11 | 0 | 1.8 | 49 | 73.7 | 0 | 0 | 0 | 0 | 0 |
49 | health_centre | MAL_0130 | rural | holoendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,024 | 5 | 0 | 27 | 17 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.46 | 12 | 15 | 11 | 1.2 | 35 | 43.7 | 0 | 0 | 1 | 0 | 0 |
50 | health_centre | MAL_0249 | rural | hyperendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,022 | 10 | 1 | 59 | 33 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.47 | 0 | 59 | 0 | 1.7 | 17 | 64.8 | 8 | 0 | 1 | 1 | 1 |
51 | health_centre | MAL_0113 | peri_urban | holoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,023 | 12 | 0 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.38 | 0 | 16 | 0 | 0 | 2 | 53.8 | 2 | 0 | 0 | 1 | 0 |
52 | health_centre | MAL_0199 | rural | hypoendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,021 | 8 | 1 | 48 | 29 | 0 | 0 | 1 | 7 | 0 | facility_ordering_late | 0.71 | 0 | 48 | 0 | 2.8 | 48 | 53.9 | 1 | 0 | 0 | 0 | 0 |
53 | health_centre | MAL_0067 | rural | holoendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,023 | 2 | 0 | 15 | 8 | 0 | 0 | 1 | 16 | 0 | PMI_shipment_delay | 0.52 | 0 | 15 | 0 | 0 | 42 | 54.1 | 0 | 0 | 0 | 0 | 0 |
54 | health_centre | MAL_0011 | peri_urban | mesoendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,024 | 2 | 0 | 25 | 18 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.63 | 15 | 10 | 18 | 1.3 | 12 | 73.5 | 0 | 0 | 0 | 0 | 0 |
55 | health_centre | MAL_0213 | rural | hyperendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,024 | 2 | 0 | 20 | 10 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.45 | 0 | 20 | 0 | 4.7 | 86 | 51.8 | 0 | 0 | 0 | 1 | 0 |
56 | health_centre | MAL_0093 | peri_urban | hyperendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,024 | 6 | 1 | 57 | 33 | 3 | 1 | 1 | 9 | 0 | demand_surge_epidemic | 0.62 | 35 | 22 | 28 | 3.6 | 17 | 54.2 | 0 | 0 | 0 | 1 | 0 |
57 | health_centre | MAL_0116 | rural | holoendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,022 | 3 | 0 | 24 | 12 | 1 | 1 | 1 | 7 | 1 | demand_surge_epidemic | 0.49 | 11 | 13 | 9 | 0.9 | 3 | 37.3 | 0 | 0 | 0 | 0 | 0 |
58 | health_centre | MAL_0102 | rural | mesoendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,023 | 2 | 0 | 23 | 11 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.56 | 0 | 23 | 0 | 2.2 | 46 | 58.4 | 0 | 1 | 0 | 1 | 0 |
59 | health_centre | MAL_0008 | peri_urban | hyperendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,023 | 8 | 1 | 50 | 33 | 4 | 1 | 1 | 5 | 1 | expired_stock | 0.56 | 28 | 22 | 33 | 1.3 | 59 | 56.3 | 0 | 0 | 1 | 0 | 0 |
60 | health_centre | MAL_0046 | rural | holoendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,022 | 8 | 1 | 74 | 40 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.52 | 0 | 74 | 0 | 3.2 | 78 | 27.8 | 0 | 0 | 0 | 1 | 1 |
61 | health_centre | MAL_0142 | peri_urban | mesoendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,023 | 10 | 1 | 46 | 23 | 5 | 0 | 0 | 0 | 0 | not_applicable | 0.3 | 0 | 46 | 0 | 2.5 | 46 | 54.2 | 2 | 0 | 1 | 1 | 0 |
62 | health_centre | MAL_0056 | peri_urban | hyperendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,021 | 11 | 1 | 55 | 38 | 2 | 0 | 1 | 2 | 1 | global_fund_delay | 0.54 | 0 | 55 | 0 | 2.7 | 19 | 41.9 | 14 | 1 | 1 | 0 | 0 |
63 | health_centre | MAL_0062 | rural | mesoendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,023 | 1 | 0 | 24 | 11 | 2 | 0 | 1 | 57 | 1 | quality_rejection | 0.39 | 0 | 24 | 0 | 2.2 | 37 | 65 | 1 | 0 | 1 | 1 | 0 |
64 | health_centre | MAL_0247 | rural | hyperendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,022 | 1 | 0 | 38 | 26 | 5 | 0 | 0 | 0 | 0 | not_applicable | 0.57 | 0 | 38 | 0 | 2.1 | 40 | 76.4 | 18 | 2 | 1 | 1 | 1 |
65 | health_centre | MAL_0029 | urban | mesoendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,024 | 2 | 0 | 27 | 16 | 0 | 0 | 1 | 6 | 0 | theft_diversion | 0.69 | 0 | 27 | 0 | 1.4 | 3 | 50.6 | 1 | 0 | 0 | 1 | 0 |
66 | health_centre | MAL_0065 | rural | holoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,023 | 7 | 1 | 50 | 40 | 5 | 1 | 0 | 0 | 0 | not_applicable | 0.44 | 22 | 28 | 40 | 2.9 | 25 | 69.2 | 0 | 0 | 2 | 1 | 1 |
67 | health_centre | MAL_0147 | rural | hyperendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,024 | 6 | 1 | 55 | 25 | 0 | 0 | 1 | 48 | 1 | theft_diversion | 0.73 | 0 | 55 | 0 | 1.4 | 62 | 53.1 | 0 | 0 | 0 | 0 | 0 |
68 | health_centre | MAL_0187 | rural | hyperendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,023 | 10 | 1 | 50 | 33 | 4 | 0 | 1 | 3 | 0 | PMI_shipment_delay | 0.69 | 0 | 50 | 0 | 1.8 | 67 | 55.1 | 0 | 1 | 0 | 0 | 0 |
69 | health_centre | MAL_0200 | peri_urban | holoendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,024 | 2 | 0 | 29 | 13 | 1 | 1 | 1 | 7 | 1 | district_distribution_delay | 0.42 | 12 | 17 | 9 | 0.5 | 28 | 40.7 | 0 | 0 | 0 | 1 | 0 |
70 | health_centre | MAL_0069 | peri_urban | holoendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,022 | 3 | 0 | 21 | 16 | 0 | 1 | 1 | 17 | 1 | global_fund_delay | 0.58 | 12 | 9 | 10 | 3.4 | 19 | 29 | 0 | 0 | 0 | 0 | 0 |
71 | health_centre | MAL_0118 | rural | hypoendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,023 | 8 | 1 | 35 | 10 | 1 | 0 | 0 | 0 | 0 | not_applicable | 0.41 | 0 | 35 | 0 | 4.2 | 31 | 69.2 | 0 | 0 | 1 | 0 | 0 |
72 | health_centre | MAL_0030 | peri_urban | hyperendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,023 | 11 | 1 | 77 | 34 | 1 | 1 | 1 | 64 | 1 | facility_ordering_late | 0.47 | 36 | 41 | 26 | 2.7 | 11 | 55.8 | 0 | 0 | 1 | 1 | 0 |
73 | health_centre | MAL_0249 | peri_urban | holoendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,022 | 10 | 1 | 52 | 28 | 4 | 1 | 0 | 0 | 0 | not_applicable | 0.28 | 14 | 38 | 26 | 3.2 | 24 | 66.3 | 0 | 0 | 0 | 1 | 0 |
74 | health_centre | MAL_0039 | peri_urban | holoendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,023 | 5 | 0 | 31 | 14 | 2 | 0 | 1 | 18 | 0 | national_stockout | 0.7 | 0 | 31 | 0 | 0.1 | 13 | 78.4 | 0 | 1 | 1 | 0 | 0 |
75 | health_centre | MAL_0135 | peri_urban | holoendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,021 | 10 | 1 | 77 | 69 | 3 | 0 | 0 | 0 | 0 | not_applicable | 0.69 | 0 | 77 | 0 | 2 | 32 | 22.8 | 0 | 2 | 0 | 0 | 0 |
76 | health_centre | MAL_0135 | rural | mesoendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,024 | 4 | 0 | 35 | 23 | 5 | 1 | 1 | 10 | 1 | district_distribution_delay | 0.53 | 18 | 17 | 17 | 1.2 | 2 | 66 | 0 | 0 | 1 | 1 | 1 |
77 | health_centre | MAL_0084 | rural | mesoendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,024 | 10 | 1 | 50 | 38 | 2 | 0 | 1 | 81 | 1 | theft_diversion | 0.57 | 0 | 50 | 0 | 2.3 | 115 | 33.8 | 0 | 1 | 1 | 1 | 1 |
78 | health_centre | MAL_0229 | rural | hyperendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,022 | 9 | 1 | 68 | 36 | 1 | 0 | 1 | 11 | 0 | funding_gap | 0.4 | 0 | 68 | 0 | 2.3 | 141 | 93.6 | 1 | 0 | 1 | 0 | 0 |
79 | health_centre | MAL_0027 | rural | hyperendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,023 | 8 | 1 | 59 | 31 | 3 | 0 | 0 | 0 | 0 | not_applicable | 0.48 | 0 | 59 | 0 | 1.2 | 11 | 37.9 | 0 | 0 | 0 | 0 | 0 |
80 | health_centre | MAL_0022 | urban | mesoendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,024 | 1 | 0 | 27 | 14 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.53 | 14 | 13 | 8 | 1.9 | 25 | 80.2 | 0 | 0 | 1 | 1 | 0 |
81 | health_centre | MAL_0161 | urban | mesoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,022 | 11 | 1 | 48 | 32 | 4 | 0 | 0 | 0 | 0 | not_applicable | 0.47 | 0 | 48 | 0 | 0.5 | 38 | 55.8 | 2 | 2 | 1 | 0 | 0 |
82 | health_centre | MAL_0192 | rural | hyperendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,023 | 3 | 0 | 25 | 14 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.65 | 16 | 9 | 13 | 0 | 208 | 68.3 | 0 | 0 | 0 | 0 | 0 |
83 | health_centre | MAL_0128 | peri_urban | holoendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,021 | 6 | 1 | 52 | 17 | 0 | 0 | 1 | 22 | 1 | demand_surge_epidemic | 0.6 | 0 | 52 | 0 | 1.4 | 33 | 59.4 | 0 | 0 | 0 | 1 | 0 |
84 | health_centre | MAL_0236 | rural | mesoendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,022 | 7 | 1 | 48 | 27 | 7 | 0 | 0 | 0 | 0 | not_applicable | 0.63 | 0 | 48 | 0 | 2.8 | 110 | 44.9 | 0 | 3 | 3 | 1 | 1 |
85 | health_centre | MAL_0159 | rural | hyperendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,023 | 7 | 1 | 63 | 30 | 1 | 0 | 1 | 6 | 0 | district_distribution_delay | 0.5 | 0 | 63 | 0 | 2.6 | 14 | 61.5 | 0 | 0 | 0 | 1 | 0 |
86 | health_centre | MAL_0201 | rural | holoendemic | 1 | 0 | paper | RDT_Pf_Pan | diagnostic | all_ages | 25 | 0.55 | 2,023 | 1 | 0 | 24 | 16 | 1 | 1 | 0 | 0 | 0 | not_applicable | 0.51 | 12 | 12 | 15 | 2.8 | 119 | 48.8 | 0 | 0 | 0 | 0 | 0 |
87 | health_centre | MAL_0217 | peri_urban | hyperendemic | 1 | 0 | paper | SP_tablet | IPTp | pregnant_women | 3 | 0.05 | 2,022 | 6 | 1 | 28 | 13 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.42 | 11 | 17 | 12 | 0 | 68 | 73.4 | 0 | 0 | 0 | 1 | 0 |
88 | health_centre | MAL_0174 | urban | holoendemic | 1 | 0 | paper | LLIN_standard | prevention | household | 1 | 3.5 | 2,023 | 3 | 0 | 20 | 9 | 0 | 0 | 1 | 30 | 0 | national_stockout | 0.57 | 0 | 20 | 0 | 1.2 | 101 | 46.3 | 0 | 0 | 0 | 1 | 1 |
89 | health_centre | MAL_0017 | rural | hyperendemic | 1 | 0 | paper | LLIN_PBO | prevention | household | 1 | 5 | 2,023 | 11 | 1 | 41 | 17 | 3 | 1 | 0 | 0 | 0 | not_applicable | 0.43 | 17 | 24 | 19 | 2.7 | 6 | 51.9 | 0 | 0 | 1 | 0 | 0 |
90 | health_centre | MAL_0025 | rural | hyperendemic | 1 | 0 | paper | primaquine_15mg | radical_cure | adult_Pv | 14 | 0.1 | 2,022 | 3 | 0 | 21 | 6 | 0 | 1 | 0 | 0 | 0 | not_applicable | 0.44 | 9 | 12 | 1 | 4.2 | 51 | 61.7 | 0 | 0 | 0 | 1 | 0 |
91 | health_centre | MAL_0183 | rural | hyperendemic | 1 | 0 | paper | AL_6x1_infant | ACT | infant_5_14kg | 6 | 0.3 | 2,023 | 7 | 1 | 55 | 28 | 1 | 1 | 1 | 10 | 1 | district_distribution_delay | 0.51 | 28 | 27 | 25 | 3.8 | 18 | 69.5 | 0 | 0 | 0 | 1 | 1 |
92 | health_centre | MAL_0084 | peri_urban | mesoendemic | 1 | 0 | paper | AL_6x2_child | ACT | child_15_24kg | 12 | 0.45 | 2,023 | 6 | 1 | 57 | 32 | 2 | 0 | 0 | 0 | 0 | not_applicable | 0.58 | 0 | 57 | 0 | 3 | 45 | 63.9 | 0 | 0 | 2 | 0 | 0 |
93 | health_centre | MAL_0184 | rural | hyperendemic | 1 | 0 | paper | AL_6x3_adolescent | ACT | adolescent_25_34kg | 18 | 0.55 | 2,022 | 1 | 0 | 24 | 15 | 2 | 1 | 1 | 9 | 1 | district_distribution_delay | 0.47 | 11 | 13 | 16 | 2.4 | 30 | 46.2 | 0 | 0 | 0 | 1 | 0 |
94 | health_centre | MAL_0041 | peri_urban | mesoendemic | 1 | 0 | paper | AL_6x4_adult | ACT | adult_35kg_plus | 24 | 0.65 | 2,023 | 6 | 1 | 48 | 27 | 2 | 0 | 1 | 1 | 1 | expired_stock | 0.46 | 0 | 48 | 0 | 0.1 | 67 | 67.9 | 1 | 1 | 0 | 1 | 0 |
95 | health_centre | MAL_0138 | peri_urban | mesoendemic | 1 | 0 | paper | ASAQ_infant | ACT | infant_5_14kg | 3 | 0.4 | 2,024 | 2 | 0 | 35 | 16 | 2 | 1 | 0 | 0 | 0 | not_applicable | 0.51 | 17 | 18 | 13 | 3 | 1 | 66 | 0 | 0 | 0 | 1 | 1 |
96 | health_centre | MAL_0190 | peri_urban | holoendemic | 1 | 0 | paper | ASAQ_child | ACT | child_15_24kg | 3 | 0.5 | 2,022 | 3 | 0 | 23 | 6 | 0 | 1 | 1 | 8 | 0 | theft_diversion | 0.64 | 14 | 9 | 4 | 1.2 | 15 | 65 | 0 | 0 | 0 | 0 | 0 |
97 | health_centre | MAL_0183 | rural | hyperendemic | 1 | 0 | paper | ASAQ_adult | ACT | adult_35kg_plus | 3 | 0.7 | 2,024 | 11 | 1 | 48 | 15 | 2 | 0 | 1 | 10 | 0 | demand_surge_epidemic | 0.42 | 0 | 48 | 0 | 0.8 | 16 | 63.9 | 0 | 1 | 0 | 1 | 0 |
98 | health_centre | MAL_0013 | peri_urban | mesoendemic | 1 | 0 | paper | artesunate_60mg_inj | severe_malaria | all_ages | 1 | 1 | 2,022 | 11 | 1 | 55 | 30 | 1 | 0 | 0 | 0 | 0 | not_applicable | 0.6 | 0 | 55 | 0 | 3.1 | 4 | 93.1 | 0 | 0 | 1 | 0 | 0 |
99 | health_centre | MAL_0042 | rural | holoendemic | 1 | 0 | paper | artesunate_rectal_100mg | pre_referral | child_under5 | 1 | 0.5 | 2,023 | 2 | 0 | 18 | 8 | 0 | 0 | 0 | 0 | 0 | not_applicable | 0.51 | 0 | 18 | 0 | 2 | 19 | 69 | 0 | 0 | 0 | 1 | 0 |
100 | health_centre | MAL_0066 | peri_urban | hyperendemic | 1 | 0 | paper | RDT_Pf_only | diagnostic | all_ages | 25 | 0.4 | 2,024 | 11 | 1 | 52 | 22 | 5 | 1 | 0 | 0 | 0 | not_applicable | 0.46 | 23 | 29 | 16 | 0.8 | 74 | 53.5 | 0 | 0 | 0 | 0 | 0 |
Malaria RDT & ACT Commodity Dataset
Abstract
This dataset provides 30,000 simulated facility-level observations (10,000 per scenario) of malaria rapid diagnostic test (RDT) and artemisinin-based combination therapy (ACT) commodity availability across three tiers of malaria case management in sub-Saharan Africa. Each record represents one malaria commodity assessed at one facility during one monthly period, capturing 40+ variables including commodity type, seasonal demand dynamics, day-of-survey availability, stockout metrics, test-before-treat rates, presumptive treatment, and malaria mortality. Three scenarios model the case management gradient: PMI-supported district hospital (79% availability), health centre (53%), and community iCCM (29%).
This dataset is entirely simulated. It must not be used for clinical or programme decisions.
1. Introduction
1.1 The Malaria Commodity Challenge
Malaria remains the leading cause of morbidity and mortality in sub-Saharan Africa, with an estimated 233 million cases and 580,000 deaths in 2022 (WHO World Malaria Report). Effective case management depends on two commodities: rapid diagnostic tests (RDTs) for parasitological confirmation and artemisinin-based combination therapies (ACTs) for treatment. The WHO "test-before-treat" policy requires that all suspected malaria cases receive a parasitological test before treatment, yet commodity stockouts at the facility level frequently undermine this strategy.
1.2 ACT Supply and Availability
Between 2010 and 2023, approximately 4.5 billion treatment courses of prequalified ACTs were delivered globally by manufacturers, with an estimated 68% distributed to the public sector in malaria-endemic countries (WHO, 2023). Multi-country surveys documented ACT stockout rates of 2% in Ghana to 7% in Kenya at facility level, with higher rates at peripheral facilities (PMC, 2014; PMC4263677). An estimated 50% of suspected malaria cases in SSA first seek care in the private sector, where quality-assured ACT availability and pricing remain problematic (Malaria Journal, 2024).
1.3 RDT Stockouts and Presumptive Treatment
RDT stockouts are a major constraint on malaria case management quality. In Niger State, Nigeria, a study found that 77% of fever cases were tested with RDTs at supported facilities, with 53% confirmed as malaria — but stockouts of RDTs were the primary barrier, and severe fever cases triggered presumptive treatment in the absence of diagnostic confirmation (PMC, 2016; PMC4799818). Presumptive treatment drives overuse of ACTs, wastes limited commodity stocks, and exposes non-malaria patients to unnecessary antimalarial therapy.
1.4 Seasonal Demand Surges
Malaria transmission is highly seasonal in the Sahel and East African highlands, with 2-3 fold increases in case volume during rainy seasons. Supply chains that fail to anticipate seasonal demand surges experience acute stockouts precisely when commodities are most needed. The mismatch between fixed quarterly resupply schedules and variable seasonal demand is a persistent quantification challenge (Unitaid forecasting methodology).
1.5 Rationale
This dataset integrates malaria commodity availability, seasonal demand patterns, testing practices, and patient outcomes into a single analytical resource for supply chain modelling, seasonal quantification research, and test-before-treat policy analysis.
2. Methodology
2.1 Parameterization
| Parameter | PMI Hospital | Health Centre | Community iCCM | Source |
|---|---|---|---|---|
| ACT availability | 88% | 65% | 40% | PMC4263677: 2-7% stockout |
| RDT availability | 85% | 60% | 35% | PMC4799818: stockouts major constraint |
| Injectable artesunate | 75% | 30% | 2% | Severe malaria management |
| Seasonal surge factor | 1.8x | 2.2x | 2.8x | Unitaid methodology |
| Stockout in 6m | 25% | 50% | 77% | Multi-country data |
| Test-before-treat | 85% | 55% | 30% | WHO target 100% |
| Order fill rate | 81% | 58% | 30% | PMI end-use verification |
2.2 Commodity Selection
15 malaria commodities across 6 categories:
| Category | Commodities |
|---|---|
| ACT (age-weight bands) | AL 6x1 infant, AL 6x2 child, AL 6x3 adolescent, AL 6x4 adult, ASAQ infant/child/adult |
| Severe malaria | Artesunate 60mg injection |
| Pre-referral | Artesunate rectal 100mg |
| Diagnostics | RDT Pf-only, RDT Pf/Pan |
| IPTp | Sulfadoxine-pyrimethamine |
| Prevention | LLIN standard, LLIN PBO |
| Radical cure | Primaquine 15mg |
2.3 Scenario Design
Scenario A — PMI-Supported District Hospital: Laboratory with microscopy, electronic LMIS, dedicated malaria focal person, PMI/Global Fund supply, year-round case management. Analogous to district hospitals in Nigeria, DRC, Mozambique.
Scenario B — Health Centre: Nurse-led, RDT-based diagnosis only, paper LMIS, quarterly resupply, high seasonal variation. Analogous to health centres in Uganda, Malawi, Tanzania, Burkina Faso.
Scenario C — Community iCCM: CHW-delivered integrated community case management, RDT + ACT only, no injectable artesunate, resupply from parent health centre. Analogous to iCCM programmes in Niger, Sierra Leone, DRC, Zambia.
3. Schema
| Column | Type | Description |
|---|---|---|
| facility_level | categorical | Facility tier |
| malaria_endemicity | categorical | holoendemic / hyperendemic / mesoendemic / hypoendemic |
| commodity_name | categorical | 15 malaria commodities |
| commodity_category | categorical | ACT / diagnostic / severe_malaria / pre_referral / IPTp / prevention / radical_cure |
| target_age_group | categorical | Age-weight band |
| transmission_season | binary | Peak transmission month |
| suspected_malaria_cases | int | Monthly suspected cases |
| confirmed_malaria_cases | int | Parasitologically confirmed |
| severe_malaria_cases | int | Severe malaria cases |
| available_on_survey_day | binary | Commodity available |
| stocked_out_in_last_6m | binary | Any stockout in 6 months |
| stockout_days_last_6m | int | Total stockout days |
| stockout_during_peak_season | binary | Stockout coincided with peak |
| stockout_cause | categorical | 11 root cause categories |
| test_before_treat_rate | float | Proportion tested before treatment |
| patients_tested | int | Patients tested with RDT/microscopy |
| presumptive_treatment | int | Patients treated without test |
| act_courses_dispensed | int | ACT courses given |
| months_of_stock | float | Current stock in months |
| order_fill_rate_pct | float | Order fulfilment rate |
| patients_untreated_no_act | int | Patients not treated due to stockout |
| referred_for_severe_malaria | int | Severe cases referred |
| malaria_deaths | int | Deaths from malaria |
4. Validation
4.1 Key Results
| Metric | PMI Hospital | Health Centre | Community | Literature |
|---|---|---|---|---|
| Availability | 79% | 53% | 29% | 2-7% stockout at hospital [2] |
| Stocked out 6m | 25% | 50% | 77% | Multi-country data |
| Test-before-treat | 84% | 55% | 30% | WHO target 100% [1] |
| Order fill rate | 81% | 58% | 30% | PMI data |
5. Usage
from datasets import load_dataset
dataset = load_dataset(
"electricsheepafrica/malaria-rdt-act-commodity",
"health_centre"
)
df = dataset["train"].to_pandas()
# Seasonal stockout analysis
seasonal = df.groupby('transmission_season').agg({
'available_on_survey_day': 'mean',
'presumptive_treatment': 'mean'
})
print(seasonal)
6. Limitations
- Simulated: Not from real PMI or Global Fund supply chain data.
- Simplified seasonality: Binary peak/off-peak rather than continuous transmission intensity.
- No drug resistance modelling: ACT efficacy is assumed constant.
- No private sector: Focus on public/community sector only.
7. References
- PMC (2016). Improving access to malaria RDT in Niger State, Nigeria. 77% tested; RDT stockouts major constraint. PMC4799818.
- PMC (2014). Pharmaceutical availability: Ghana ACT stockout 2%, Kenya 7%. PMC4263677.
- WHO (2023). Artemisinin partial resistance. 4.5 billion ACT courses 2010-2023.
- Malaria Journal (2024). Assessing availability of quality-assured ACTs. ~50% seek care in private sector.
- Unitaid. Forecasting methodology for global malaria diagnostic and ACT demand.
- PMI / USAID. End-use verification surveys.
Citation
@dataset{esa_malaria_rdt_act_2025,
title = {Malaria RDT and ACT Commodity Dataset: Availability,
Seasonal Demand, Test-Before-Treat, and Patient Impact
Across Three Tiers of Malaria Case Management in SSA},
author = {{Electric Sheep Africa}},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/electricsheepafrica/malaria-rdt-act-commodity},
note = {Simulated dataset. Not for clinical or programme decisions.}
}
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