Changes
On April 28, 2023, 8:38:26 AM UTC,
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Updated description of resource Naomi Output ZIP in Cameroon HIV Estimates 2023 from
Naomi output uploaded from Naomi web app Area scope - CMR Area level - 3 Calendar quarter to generate estimates - CY2022Q4 Calendar quarter to generate short-term projection - CY2023Q3
toPaquet Naomi téléchargée depuis l'application web Naomi Périmètre de zone - CMR Niveau de la zone - 3 Trimestre calendaire pour générer des estimations - CY2022Q4 Trimestre calendaire pour générer une projection à court terme - CY2023Q3
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Changed value of field
sha256
of resource Naomi Output ZIP to445581e3358bb9fbf3fe9475fd319759a16c2f4d8fa7f27fd85b712d16194857
(previously3556c21b0564c1d81f8e96476afddc271c1f26224c37b60c80280949f7f74198
) in Cameroon HIV Estimates 2023
| f | 1 | { | f | 1 | { |
| 2 | "author": null, | 2 | "author": null, | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "creator_user_id": "02344e77-be8a-4e77-b07c-a54981b21779", | 4 | "creator_user_id": "02344e77-be8a-4e77-b07c-a54981b21779", | ||
| 5 | "geo-location": "Cameroon", | 5 | "geo-location": "Cameroon", | ||
| 6 | "groups": [], | 6 | "groups": [], | ||
| 7 | "id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 7 | "id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
| 8 | "isopen": false, | 8 | "isopen": false, | ||
| 9 | "license_title": null, | 9 | "license_title": null, | ||
| 10 | "maintainer": "Naomi team", | 10 | "maintainer": "Naomi team", | ||
| 11 | "maintainer_email": "naomi-support@unaids.org", | 11 | "maintainer_email": "naomi-support@unaids.org", | ||
| 12 | "metadata_created": "2022-10-27T09:00:17.885659", | 12 | "metadata_created": "2022-10-27T09:00:17.885659", | ||
| n | 13 | "metadata_modified": "2023-03-22T16:02:18.229179", | n | 13 | "metadata_modified": "2023-04-28T08:38:26.830842", |
| 14 | "name": "cameroon-country-estimates-2023", | 14 | "name": "cameroon-country-estimates-2023", | ||
| 15 | "notes": "A record of the input data and final HIV estimates.", | 15 | "notes": "A record of the input data and final HIV estimates.", | ||
| 16 | "num_resources": 18, | 16 | "num_resources": 18, | ||
| 17 | "num_tags": 0, | 17 | "num_tags": 0, | ||
| 18 | "organization": { | 18 | "organization": { | ||
| 19 | "approval_status": "approved", | 19 | "approval_status": "approved", | ||
| 20 | "created": "2020-01-14T10:49:13.811386", | 20 | "created": "2020-01-14T10:49:13.811386", | ||
| 21 | "description": "", | 21 | "description": "", | ||
| 22 | "id": "e1418031-5461-4320-bbe4-d482087ec2fd", | 22 | "id": "e1418031-5461-4320-bbe4-d482087ec2fd", | ||
| 23 | "image_url": "2020-01-14-104913.786919Cameroon.png", | 23 | "image_url": "2020-01-14-104913.786919Cameroon.png", | ||
| 24 | "is_organization": true, | 24 | "is_organization": true, | ||
| 25 | "name": "cameroon", | 25 | "name": "cameroon", | ||
| 26 | "state": "active", | 26 | "state": "active", | ||
| 27 | "title": "Cameroon", | 27 | "title": "Cameroon", | ||
| 28 | "type": "organization" | 28 | "type": "organization" | ||
| 29 | }, | 29 | }, | ||
| 30 | "owner_org": "e1418031-5461-4320-bbe4-d482087ec2fd", | 30 | "owner_org": "e1418031-5461-4320-bbe4-d482087ec2fd", | ||
| 31 | "private": false, | 31 | "private": false, | ||
| 32 | "relationships_as_object": [], | 32 | "relationships_as_object": [], | ||
| 33 | "relationships_as_subject": [], | 33 | "relationships_as_subject": [], | ||
| 34 | "resources": [ | 34 | "resources": [ | ||
| 35 | { | 35 | { | ||
| 36 | "cache_last_updated": null, | 36 | "cache_last_updated": null, | ||
| 37 | "cache_url": null, | 37 | "cache_url": null, | ||
| 38 | "created": "2022-10-27T09:02:39.417956", | 38 | "created": "2022-10-27T09:02:39.417956", | ||
| 39 | "datastore_active": false, | 39 | "datastore_active": false, | ||
| 40 | "fork_activity": "", | 40 | "fork_activity": "", | ||
| 41 | "fork_resource": "", | 41 | "fork_resource": "", | ||
| 42 | "format": "CSV", | 42 | "format": "CSV", | ||
| 43 | "hash": "", | 43 | "hash": "", | ||
| 44 | "id": "5671ad42-fdb3-4279-8c8f-fcfa85f841c6", | 44 | "id": "5671ad42-fdb3-4279-8c8f-fcfa85f841c6", | ||
| 45 | "last_modified": "2022-10-27T09:02:39.291713", | 45 | "last_modified": "2022-10-27T09:02:39.291713", | ||
| 46 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | 46 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | ||
| 47 | "metadata_modified": "2023-02-20T12:24:47.922557", | 47 | "metadata_modified": "2023-02-20T12:24:47.922557", | ||
| 48 | "mimetype": "text/csv", | 48 | "mimetype": "text/csv", | ||
| 49 | "mimetype_inner": null, | 49 | "mimetype_inner": null, | ||
| 50 | "name": "Shiny90 Survey Data", | 50 | "name": "Shiny90 Survey Data", | ||
| 51 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 51 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
| 52 | "position": 0, | 52 | "position": 0, | ||
| 53 | "resource_type": "inputs-unaids-shiny90-survey", | 53 | "resource_type": "inputs-unaids-shiny90-survey", | ||
| 54 | "restricted": "{\"allowed_organizations\": \"unaids\", | 54 | "restricted": "{\"allowed_organizations\": \"unaids\", | ||
| 55 | \"allowed_users\": \"\", \"level\": \"restricted\"}", | 55 | \"allowed_users\": \"\", \"level\": \"restricted\"}", | ||
| 56 | "schema": "1_shiny90_survey_estimates", | 56 | "schema": "1_shiny90_survey_estimates", | ||
| 57 | "sha256": | 57 | "sha256": | ||
| 58 | "63c3968c2bf5a3f36d4e0de59167f82309321127abc44c6d54179d47c8a2f620", | 58 | "63c3968c2bf5a3f36d4e0de59167f82309321127abc44c6d54179d47c8a2f620", | ||
| 59 | "size": 11182, | 59 | "size": 11182, | ||
| 60 | "state": "active", | 60 | "state": "active", | ||
| 61 | "url": | 61 | "url": | ||
| 62 | a85f841c6/download/shiny90-survey-data_CMR_0_Cameroon_2021-12-03.csv", | 62 | a85f841c6/download/shiny90-survey-data_CMR_0_Cameroon_2021-12-03.csv", | ||
| 63 | "url_type": "upload", | 63 | "url_type": "upload", | ||
| 64 | "validation_status": "success", | 64 | "validation_status": "success", | ||
| 65 | "validation_timestamp": "2023-02-20T12:24:40.370586" | 65 | "validation_timestamp": "2023-02-20T12:24:40.370586" | ||
| 66 | }, | 66 | }, | ||
| 67 | { | 67 | { | ||
| 68 | "cache_last_updated": null, | 68 | "cache_last_updated": null, | ||
| 69 | "cache_url": null, | 69 | "cache_url": null, | ||
| 70 | "created": "2022-10-27T09:02:53.136891", | 70 | "created": "2022-10-27T09:02:53.136891", | ||
| 71 | "datastore_active": true, | 71 | "datastore_active": true, | ||
| 72 | "description": "", | 72 | "description": "", | ||
| 73 | "fork_activity": "", | 73 | "fork_activity": "", | ||
| 74 | "fork_resource": "", | 74 | "fork_resource": "", | ||
| 75 | "format": "CSV", | 75 | "format": "CSV", | ||
| 76 | "hash": "", | 76 | "hash": "", | ||
| 77 | "id": "687203c9-5829-4f9e-b96f-d823082b79b3", | 77 | "id": "687203c9-5829-4f9e-b96f-d823082b79b3", | ||
| 78 | "last_modified": "2023-02-08T11:54:37.812154", | 78 | "last_modified": "2023-02-08T11:54:37.812154", | ||
| 79 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | 79 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | ||
| 80 | "metadata_modified": "2023-02-20T12:24:47.922661", | 80 | "metadata_modified": "2023-02-20T12:24:47.922661", | ||
| 81 | "mimetype": "text/csv", | 81 | "mimetype": "text/csv", | ||
| 82 | "mimetype_inner": null, | 82 | "mimetype_inner": null, | ||
| 83 | "name": "Shiny90 HIV Testing Data", | 83 | "name": "Shiny90 HIV Testing Data", | ||
| 84 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 84 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
| 85 | "position": 1, | 85 | "position": 1, | ||
| 86 | "resource_type": "inputs-unaids-hiv-testing", | 86 | "resource_type": "inputs-unaids-hiv-testing", | ||
| 87 | "restricted": | 87 | "restricted": | ||
| 88 | ations\":\"unaids\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | 88 | ations\":\"unaids\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | ||
| 89 | "restricted_allowed_orgs": "unaids", | 89 | "restricted_allowed_orgs": "unaids", | ||
| 90 | "schema": "1_hiv_testing_inputs", | 90 | "schema": "1_hiv_testing_inputs", | ||
| 91 | "sha256": | 91 | "sha256": | ||
| 92 | "2ee26550fa2fb7bbfeb013cdec1df376ffa16f05546a54e912ea2ff5962f98d5", | 92 | "2ee26550fa2fb7bbfeb013cdec1df376ffa16f05546a54e912ea2ff5962f98d5", | ||
| 93 | "size": 763, | 93 | "size": 763, | ||
| 94 | "state": "active", | 94 | "state": "active", | ||
| 95 | "url": | 95 | "url": | ||
| 96 | -d823082b79b3/download/program-data-SHINY_Cameroon_2023_07022023.csv", | 96 | -d823082b79b3/download/program-data-SHINY_Cameroon_2023_07022023.csv", | ||
| 97 | "url_type": "upload", | 97 | "url_type": "upload", | ||
| 98 | "validation_status": "success", | 98 | "validation_status": "success", | ||
| 99 | "validation_timestamp": "2023-02-20T12:24:43.407848" | 99 | "validation_timestamp": "2023-02-20T12:24:43.407848" | ||
| 100 | }, | 100 | }, | ||
| 101 | { | 101 | { | ||
| 102 | "cache_last_updated": null, | 102 | "cache_last_updated": null, | ||
| 103 | "cache_url": null, | 103 | "cache_url": null, | ||
| 104 | "created": "2022-11-21T08:52:17.841401", | 104 | "created": "2022-11-21T08:52:17.841401", | ||
| 105 | "datastore_active": true, | 105 | "datastore_active": true, | ||
| 106 | "description": "PHIA and DHS surveys updated with 2023 | 106 | "description": "PHIA and DHS surveys updated with 2023 | ||
| 107 | boundaries (197 districts)", | 107 | boundaries (197 districts)", | ||
| 108 | "fork_activity": "", | 108 | "fork_activity": "", | ||
| 109 | "fork_resource": "", | 109 | "fork_resource": "", | ||
| 110 | "format": "CSV", | 110 | "format": "CSV", | ||
| 111 | "hash": "", | 111 | "hash": "", | ||
| 112 | "id": "d5bb5c72-6058-4764-b810-8cc57386d2ae", | 112 | "id": "d5bb5c72-6058-4764-b810-8cc57386d2ae", | ||
| 113 | "last_modified": "2023-02-20T11:35:46.285657", | 113 | "last_modified": "2023-02-20T11:35:46.285657", | ||
| 114 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | 114 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | ||
| 115 | "metadata_modified": "2023-02-20T12:26:41.389777", | 115 | "metadata_modified": "2023-02-20T12:26:41.389777", | ||
| 116 | "mimetype": "text/csv", | 116 | "mimetype": "text/csv", | ||
| 117 | "mimetype_inner": null, | 117 | "mimetype_inner": null, | ||
| 118 | "name": "Survey Data", | 118 | "name": "Survey Data", | ||
| 119 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 119 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
| 120 | "position": 2, | 120 | "position": 2, | ||
| 121 | "resource_type": "inputs-unaids-survey", | 121 | "resource_type": "inputs-unaids-survey", | ||
| 122 | "restricted": | 122 | "restricted": | ||
| 123 | rganizations\":\"\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | 123 | rganizations\":\"\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | ||
| 124 | "schema": "3_survey_inputs", | 124 | "schema": "3_survey_inputs", | ||
| 125 | "sha256": | 125 | "sha256": | ||
| 126 | "7e528063ec8dfdcf1ea1fb70a0a53302943c31f4754d3aa88137fe5097a56a37", | 126 | "7e528063ec8dfdcf1ea1fb70a0a53302943c31f4754d3aa88137fe5097a56a37", | ||
| 127 | "size": 5682341, | 127 | "size": 5682341, | ||
| 128 | "state": "active", | 128 | "state": "active", | ||
| 129 | "url": | 129 | "url": | ||
| 130 | 2-6058-4764-b810-8cc57386d2ae/download/cmr_survey_hiv_indicators.csv", | 130 | 2-6058-4764-b810-8cc57386d2ae/download/cmr_survey_hiv_indicators.csv", | ||
| 131 | "url_type": "upload", | 131 | "url_type": "upload", | ||
| 132 | "validation_status": "success", | 132 | "validation_status": "success", | ||
| 133 | "validation_timestamp": "2023-02-20T12:26:40.128980" | 133 | "validation_timestamp": "2023-02-20T12:26:40.128980" | ||
| 134 | }, | 134 | }, | ||
| 135 | { | 135 | { | ||
| 136 | "cache_last_updated": null, | 136 | "cache_last_updated": null, | ||
| 137 | "cache_url": null, | 137 | "cache_url": null, | ||
| 138 | "created": "2023-01-23T13:26:33.827679", | 138 | "created": "2023-01-23T13:26:33.827679", | ||
| 139 | "datastore_active": false, | 139 | "datastore_active": false, | ||
| 140 | "description": "", | 140 | "description": "", | ||
| 141 | "fork_activity": "", | 141 | "fork_activity": "", | ||
| 142 | "fork_resource": "", | 142 | "fork_resource": "", | ||
| 143 | "format": "XLSX", | 143 | "format": "XLSX", | ||
| 144 | "hash": "", | 144 | "hash": "", | ||
| 145 | "id": "a08d1e93-2875-48f6-8ba0-d13f530c0b6e", | 145 | "id": "a08d1e93-2875-48f6-8ba0-d13f530c0b6e", | ||
| 146 | "last_modified": "2023-02-17T14:40:12.007341", | 146 | "last_modified": "2023-02-17T14:40:12.007341", | ||
| 147 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | 147 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | ||
| 148 | "metadata_modified": "2023-02-17T14:40:13.186173", | 148 | "metadata_modified": "2023-02-17T14:40:13.186173", | ||
| 149 | "mimetype": | 149 | "mimetype": | ||
| 150 | "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", | 150 | "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", | ||
| 151 | "mimetype_inner": null, | 151 | "mimetype_inner": null, | ||
| 152 | "name": "Key Populations Excel Workbook", | 152 | "name": "Key Populations Excel Workbook", | ||
| 153 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 153 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
| 154 | "position": 3, | 154 | "position": 3, | ||
| 155 | "resource_type": "inputs-unaids-key-populations-workbook", | 155 | "resource_type": "inputs-unaids-key-populations-workbook", | ||
| 156 | "restricted": | 156 | "restricted": | ||
| 157 | rganizations\":\"\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | 157 | rganizations\":\"\",\"allowed_users\":\"\",\"level\":\"restricted\"}", | ||
| 158 | "restricted_allowed_orgs": "unaids", | 158 | "restricted_allowed_orgs": "unaids", | ||
| 159 | "sha256": | 159 | "sha256": | ||
| 160 | "9306e00c2ba3238b2c6328d955dd397a19a8a32bd1f0d22b14f64971a92b8076", | 160 | "9306e00c2ba3238b2c6328d955dd397a19a8a32bd1f0d22b14f64971a92b8076", | ||
| 161 | "size": 3801421, | 161 | "size": 3801421, | ||
| 162 | "state": "active", | 162 | "state": "active", | ||
| 163 | "url": | 163 | "url": | ||
| 164 | 2875-48f6-8ba0-d13f530c0b6e/download/CMR_2023_KP_workbook_Feb17.xlsx", | 164 | 2875-48f6-8ba0-d13f530c0b6e/download/CMR_2023_KP_workbook_Feb17.xlsx", | ||
| 165 | "url_type": "upload" | 165 | "url_type": "upload" | ||
| 166 | }, | 166 | }, | ||
| 167 | { | 167 | { | ||
| 168 | "cache_last_updated": null, | 168 | "cache_last_updated": null, | ||
| 169 | "cache_url": null, | 169 | "cache_url": null, | ||
| 170 | "created": "2023-01-24T14:31:01.407989", | 170 | "created": "2023-01-24T14:31:01.407989", | ||
| 171 | "datastore_active": false, | 171 | "datastore_active": false, | ||
| 172 | "description": "Cameroon boundaries with following | 172 | "description": "Cameroon boundaries with following | ||
| 173 | hierarchy:\r\n- Admin 0 = National (for National HIV estimates)\r\n- | 173 | hierarchy:\r\n- Admin 0 = National (for National HIV estimates)\r\n- | ||
| 174 | Admin 1 = 10 r\u00e9gions (for PEPFAR COP planning and regional | 174 | Admin 1 = 10 r\u00e9gions (for PEPFAR COP planning and regional | ||
| 175 | planning)\r\n- Admin 2 = 10 r\u00e9gions + 2 villes (for regional | 175 | planning)\r\n- Admin 2 = 10 r\u00e9gions + 2 villes (for regional | ||
| 176 | planning and city level planning as it also takes into account 2 major | 176 | planning and city level planning as it also takes into account 2 major | ||
| 177 | cities)\r\n- Admin 3 = 197 districts for district level | 177 | cities)\r\n- Admin 3 = 197 districts for district level | ||
| 178 | planning\r\n\r\nChanges for 2023 estimates:\r\nCameroon district level | 178 | planning\r\n\r\nChanges for 2023 estimates:\r\nCameroon district level | ||
| 179 | boundaries, updated with 197 district division with the following | 179 | boundaries, updated with 197 district division with the following | ||
| 180 | changes from 2022 -> | 180 | changes from 2022 -> | ||
| 181 | 2023:\r\n\r\narea_id_2022\tarea_name_2022\tarea_id_2023\t | 181 | 2023:\r\n\r\narea_id_2022\tarea_name_2022\tarea_id_2023\t | ||
| 182 | area_name_2023\r\nCMR_3_85\tKoza\t | 182 | area_name_2023\r\nCMR_3_85\tKoza\t | ||
| 183 | CMR_3_85dh\tKoza\r\nCMR_3_85\tKoza\t | 183 | CMR_3_85dh\tKoza\r\nCMR_3_85\tKoza\t | ||
| 184 | CMR_3_195os\tMozogo\r\nCMR_3_8\t Ngaoundere Rural\t | 184 | CMR_3_195os\tMozogo\r\nCMR_3_8\t Ngaoundere Rural\t | ||
| 185 | CMR_3_193df\tDang\r\nCMR_3_8 \tNgaoundere Rural\t CMR_3_8fg\t | 185 | CMR_3_193df\tDang\r\nCMR_3_8 \tNgaoundere Rural\t CMR_3_8fg\t | ||
| 186 | Ngaoundere Rural\r\nCMR_3_55\tBertoua\t | 186 | Ngaoundere Rural\r\nCMR_3_55\tBertoua\t | ||
| 187 | CMR_3_192rt\tBelabo\r\nCMR_3_55\tBertoua\t | 187 | CMR_3_192rt\tBelabo\r\nCMR_3_55\tBertoua\t | ||
| 188 | CMR_3_55by\t Bertoua\r\nCMR_3_190\tNkolndongo\t | 188 | CMR_3_55by\t Bertoua\r\nCMR_3_190\tNkolndongo\t | ||
| 189 | CMR_3_190pz\tNkolndongo\r\nCMR_3_190\tNkolndongo\t | 189 | CMR_3_190pz\tNkolndongo\r\nCMR_3_190\tNkolndongo\t | ||
| 190 | CMR_3_197is\tOdza\r\nCMR_3_187\tDjoungolo\t | 190 | CMR_3_197is\tOdza\r\nCMR_3_187\tDjoungolo\t | ||
| 191 | CMR_3_187df\tDjoungolo\r\nCMR_3_187\tDjoungolo\t | 191 | CMR_3_187df\tDjoungolo\r\nCMR_3_187\tDjoungolo\t | ||
| 192 | CMR_3_196xd\tMvog-Ada\r\nCMR_3_170\tKumba\t | 192 | CMR_3_196xd\tMvog-Ada\r\nCMR_3_170\tKumba\t | ||
| 193 | CMR_3_170kj\tKumba-South\r\nCMR_3_170\tKumba\t | 193 | CMR_3_170kj\tKumba-South\r\nCMR_3_170\tKumba\t | ||
| 194 | CMR_3_194ha\tKumba-North\r\nCMR_3_130\tBamenda\t | 194 | CMR_3_194ha\tKumba-North\r\nCMR_3_130\tBamenda\t | ||
| 195 | CMR_3_130pg\tBamenda\r\nCMR_3_130\tBamenda \t | 195 | CMR_3_130pg\tBamenda\r\nCMR_3_130\tBamenda \t | ||
| 196 | CMR_3_191zs\tBamenda 3", | 196 | CMR_3_191zs\tBamenda 3", | ||
| 197 | "fork_activity": "", | 197 | "fork_activity": "", | ||
| 198 | "fork_resource": "", | 198 | "fork_resource": "", | ||
| 199 | "format": "GeoJSON", | 199 | "format": "GeoJSON", | ||
| 200 | "hash": "", | 200 | "hash": "", | ||
| 201 | "id": "0ae385e9-a784-4a66-88f3-c79f1d900c54", | 201 | "id": "0ae385e9-a784-4a66-88f3-c79f1d900c54", | ||
| 202 | "last_modified": "2023-02-20T12:24:12.700184", | 202 | "last_modified": "2023-02-20T12:24:12.700184", | ||
| 203 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | 203 | "lfs_prefix": "cameroon/cameroon-country-estimates-2023", | ||
| 204 | "metadata_modified": "2023-02-20T12:25:04.820593", | 204 | "metadata_modified": "2023-02-20T12:25:04.820593", | ||
| 205 | "mimetype": "application/geo+json", | 205 | "mimetype": "application/geo+json", | ||
| 206 | "mimetype_inner": null, | 206 | "mimetype_inner": null, | ||
| 207 | "name": "Geographic Data", | 207 | "name": "Geographic Data", | ||
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| 228 | "cache_url": null, | 228 | "cache_url": null, | ||
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| 231 | "description": "Worldpop district level 5-year age and sex | 231 | "description": "Worldpop district level 5-year age and sex | ||
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| 247 | "restricted": | 247 | "restricted": | ||
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| 261 | "cache_last_updated": null, | 261 | "cache_last_updated": null, | ||
| 262 | "cache_url": null, | 262 | "cache_url": null, | ||
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| 265 | "description": "ANC programme data pulled from DHIS on Feb 23, | 265 | "description": "ANC programme data pulled from DHIS on Feb 23, | ||
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| 267 | due to changes in districts from 190 to 197\r\n\r\nand the | 267 | due to changes in districts from 190 to 197\r\n\r\nand the | ||
| 268 | redistributing of all indicators for the historical data using | 268 | redistributing of all indicators for the historical data using | ||
| 269 | proportions from the 7 districts splits in 2022 is likely to be | 269 | proportions from the 7 districts splits in 2022 is likely to be | ||
| 270 | problematic", | 270 | problematic", | ||
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| 285 | "restricted": | 285 | "restricted": | ||
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| 299 | "cache_last_updated": null, | 299 | "cache_last_updated": null, | ||
| 300 | "cache_url": null, | 300 | "cache_url": null, | ||
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| 306 | CY2023Q3", | 306 | estimations - CY2022Q4\nTrimestre calendaire pour g\u00e9n\u00e9rer | ||
| 307 | une projection \u00e0 court terme - CY2023Q3", | ||||
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| 308 | "fork_resource": "", | 309 | "fork_resource": "", | ||
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| 316 | "mimetype_inner": null, | 317 | "mimetype_inner": null, | ||
| 317 | "name": "Naomi Output ZIP", | 318 | "name": "Naomi Output ZIP", | ||
| 318 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 319 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
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| 321 | "restricted": | 322 | "restricted": | ||
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| 323 | "restricted_allowed_orgs": "unaids", | 324 | "restricted_allowed_orgs": "unaids", | ||
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| 330 | "url_type": "upload" | 331 | "url_type": "upload" | ||
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| 333 | "cache_last_updated": null, | 334 | "cache_last_updated": null, | ||
| 334 | "cache_url": null, | 335 | "cache_url": null, | ||
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| 336 | "datastore_active": false, | 337 | "datastore_active": false, | ||
| 337 | "description": "Naomi summary report uploaded from Naomi web | 338 | "description": "Naomi summary report uploaded from Naomi web | ||
| 338 | app\n\nArea scope - CMR\nArea level - 3\nCalendar quarter to generate | 339 | app\n\nArea scope - CMR\nArea level - 3\nCalendar quarter to generate | ||
| 339 | estimates - CY2022Q4\nCalendar quarter to generate short-term | 340 | estimates - CY2022Q4\nCalendar quarter to generate short-term | ||
| 340 | projection - CY2023Q3", | 341 | projection - CY2023Q3", | ||
| 341 | "fork_activity": "", | 342 | "fork_activity": "", | ||
| 342 | "fork_resource": "", | 343 | "fork_resource": "", | ||
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| 349 | "mimetype": "text/html", | 350 | "mimetype": "text/html", | ||
| 350 | "mimetype_inner": null, | 351 | "mimetype_inner": null, | ||
| 351 | "name": "Naomi Results and Summary Report", | 352 | "name": "Naomi Results and Summary Report", | ||
| 352 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | 353 | "package_id": "115bc1a4-513a-40e1-81b8-db616f142ec8", | ||
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| 354 | "resource_type": "inputs-unaids-naomi-report", | 355 | "resource_type": "inputs-unaids-naomi-report", | ||
| 355 | "restricted": | 356 | "restricted": | ||
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| 357 | "restricted_allowed_orgs": "unaids", | 358 | "restricted_allowed_orgs": "unaids", | ||
| 358 | "sha256": | 359 | "sha256": | ||
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| 361 | "state": "active", | 362 | "state": "active", | ||
| 362 | "url": | 363 | "url": | ||
| 363 | rce/8e4f2652-07a7-40bf-9249-cd97c018653e/download/naomi_summary.html", | 364 | rce/8e4f2652-07a7-40bf-9249-cd97c018653e/download/naomi_summary.html", | ||
| 364 | "url_type": "upload" | 365 | "url_type": "upload" | ||
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| 366 | { | 367 | { | ||
| 367 | "cache_last_updated": null, | 368 | "cache_last_updated": null, | ||
| 368 | "cache_url": null, | 369 | "cache_url": null, | ||
| 369 | "created": "2023-02-08T11:32:41.407068", | 370 | "created": "2023-02-08T11:32:41.407068", | ||
| 370 | "datastore_active": true, | 371 | "datastore_active": true, | ||
| 371 | "description": "ART programme data pulled from DHIS on Feb 21, | 372 | "description": "ART programme data pulled from DHIS on Feb 21, | ||
| 372 | 2023 at 15:30\r\nhas data for 2020-2022. Historical data not included | 373 | 2023 at 15:30\r\nhas data for 2020-2022. Historical data not included | ||
| 373 | due to changes in districts from 190 to 197\r\n\r\nand the | 374 | due to changes in districts from 190 to 197\r\n\r\nand the | ||
| 374 | redistributing of all indicators for the historical data using | 375 | redistributing of all indicators for the historical data using | ||
| 375 | proportions from the 7 districts splits in 2022 is likely to be | 376 | proportions from the 7 districts splits in 2022 is likely to be | ||
| 376 | problematic", | 377 | problematic", | ||
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| 378 | "fork_resource": "", | 379 | "fork_resource": "", | ||
| 379 | "format": "CSV", | 380 | "format": "CSV", | ||
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| 386 | "mimetype_inner": null, | 387 | "mimetype_inner": null, | ||
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| 400 | "url_type": "upload", | 401 | "url_type": "upload", | ||
| 401 | "validation_status": "success", | 402 | "validation_status": "success", | ||
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| 406 | "cache_url": null, | 407 | "cache_url": null, | ||
| 407 | "created": "2023-02-08T13:20:24.566764", | 408 | "created": "2023-02-08T13:20:24.566764", | ||
| 408 | "datastore_active": false, | 409 | "datastore_active": false, | ||
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| 411 | estimates - CY2022Q4\nCalendar quarter to generate short-term | 412 | estimates - CY2022Q4\nCalendar quarter to generate short-term | ||
| 412 | projection - CY2023Q3", | 413 | projection - CY2023Q3", | ||
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| 414 | "fork_resource": "", | 415 | "fork_resource": "", | ||
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