ለውጦች
On መስከረም 7, 2022, 13:51:20 (SAST),
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Moved Nigeria: Coronavirus (Covid-19) Subnational from organization Humanitarian Emergency Response Africa to organization OpenUp
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Updated description of Nigeria: Coronavirus (Covid-19) Subnational from
Subnational data about Covid19 in Nigeria per day - Infected (new cases), Deceased, Recovered + Gender data per region (April - October). ## Methodology ## Data from national governments. When we don't have the information, we let a blank space, 0 when there is no cases. When gender data is not specified, we use the not specified gender to complete the details. When the region is not specified, we use a specific line called "Non spécifié" = "not specified" which gathers data from region which have not been identified. ## Caveats / Comments ## Please note that the gender data is not available yet for every day, our teams are working to complete the details as soon as possible. If you have information about Covid gender data in Africa, please contact us. Thank you for your understanding. For any inquiries or feedback on how you use the datasets, please contact [email protected] This dataset updates: Every week
toSubnational data about Covid19 in Nigeria per day - Infected (new cases), Deceased, Recovered + Gender data per region ## Methodology ## Data from national governments. When we don't have the information, we let a blank space, 0 when there is no cases. When gender data is not specified, we use the not specified gender to complete the details. When the region is not specified, we use a specific line called "Non spécifié" = "not specified" which gathers data from region which have not been identified. ## Caveats / Comments ## Please note that the gender data is not available yet for every day, our teams are working to complete the details as soon as possible. If you have information about Covid gender data in Africa, please contact us. Thank you for your understanding. For any inquiries or feedback on how you use the datasets, please contact [email protected] This dataset updates every week and the most recent dataset can be found [here](https://data.humdata.org/dataset/nigeria_covid19_subnational)
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Removed tag covid from Nigeria: Coronavirus (Covid-19) Subnational
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Added tag COVID-19 to Nigeria: Coronavirus (Covid-19) Subnational
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Changed value of field
datastore_active
toTrue
in resource nga_subnational_covid19_hera.xls in Nigeria: Coronavirus (Covid-19) Subnational
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2 | "author": "HERA - Humanitarian Emergency Response Africa", | 2 | "author": "HERA - Humanitarian Emergency Response Africa", | ||
3 | "author_email": "[email protected]", | 3 | "author_email": "[email protected]", | ||
4 | "creator_user_id": "744d8eac-9b45-47f6-9b49-08a7239f87f8", | 4 | "creator_user_id": "744d8eac-9b45-47f6-9b49-08a7239f87f8", | ||
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8 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||||
9 | platform for sharing data across crises and organisations. Launched in | ||||
10 | July 2014, the goal of HDX is to make humanitarian data easy to find | ||||
11 | and use for analysis. Our growing collection of datasets has been | ||||
12 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | ||||
13 | managed by OCHA's Centre for Humanitarian Data, which is located in | ||||
14 | The Hague. OCHA is part of the United Nations Secretariat and is | ||||
15 | responsible for bringing together humanitarian actors to ensure a | ||||
16 | coherent response to emergencies. The HDX team includes OCHA staff and | ||||
17 | a number of consultants who are based in North America, Europe and | ||||
18 | Africa.", | ||||
19 | "display_name": "HDX: Humanitarian Data Exchange", | ||||
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10 | "license_title": "Creative Commons Attribution", | 38 | "license_title": "Creative Commons Attribution", | ||
11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
12 | "maintainer": "HERA - Humanitarian Emergency Response Africa", | 40 | "maintainer": "HERA - Humanitarian Emergency Response Africa", | ||
13 | "maintainer_email": "[email protected]", | 41 | "maintainer_email": "[email protected]", | ||
14 | "metadata_created": "2021-02-18T11:14:59.284515", | 42 | "metadata_created": "2021-02-18T11:14:59.284515", | ||
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16 | "name": "nigeria-coronavirus-covid-19-subnational", | 44 | "name": "nigeria-coronavirus-covid-19-subnational", | ||
17 | "notes": "Subnational data about Covid19 in Nigeria per day - | 45 | "notes": "Subnational data about Covid19 in Nigeria per day - | ||
18 | Infected (new cases), Deceased, Recovered + Gender data per region | 46 | Infected (new cases), Deceased, Recovered + Gender data per region | ||
n | 19 | (April - October). \r\n\r\n## Methodology ##\r\n\r\nData from national | n | 47 | \r\n\r\n## Methodology ##\r\n\r\nData from national governments. When |
20 | governments. When we don't have the information, we let a blank space, | 48 | we don't have the information, we let a blank space, 0 when there is | ||
21 | 0 when there is no cases. When gender data is not specified, we use | 49 | no cases. When gender data is not specified, we use the not specified | ||
22 | the not specified gender to complete the details. When the region is | 50 | gender to complete the details. When the region is not specified, we | ||
23 | not specified, we use a specific line called \"Non | 51 | use a specific line called \"Non sp\u00e9cifi\u00e9\" = \"not | ||
24 | sp\u00e9cifi\u00e9\" = \"not specified\" which gathers data from | 52 | specified\" which gathers data from region which have not been | ||
25 | region which have not been identified.\r\n\r\n## Caveats / Comments | 53 | identified.\r\n\r\n## Caveats / Comments ##\r\n\r\nPlease note that | ||
26 | ##\r\n\r\nPlease note that the gender data is not available yet for | 54 | the gender data is not available yet for every day, our teams are | ||
27 | every day, our teams are working to complete the details as soon as | 55 | working to complete the details as soon as possible. If you have | ||
28 | possible. If you have information about Covid gender data in Africa, | 56 | information about Covid gender data in Africa, please contact us. | ||
29 | please contact us. Thank you for your understanding.\r\n\r\nFor any | 57 | Thank you for your understanding.\r\n\r\nFor any inquiries or feedback | ||
30 | inquiries or feedback on how you use the datasets, please contact | 58 | on how you use the datasets, please contact | ||
31 | [email protected]\r\n\r\nThis dataset updates: Every week\r\n", | 59 | [email protected]\r\n\r\nThis dataset updates every week and the most | ||
60 | recent dataset can be found | ||||
61 | e](https://data.humdata.org/dataset/nigeria_covid19_subnational)\r\n", | ||||
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37 | "description": "Humanitarian Emergency Response Africa Datasets", | 67 | "description": "We build tools, open up data, and provide data | ||
38 | "id": "4607d385-0a0b-4fd9-a553-cc650210c096", | 68 | training which supports an active citizenry and helps communities and | ||
39 | "image_url": | 69 | governments work better, together. We partner with government, | ||
40 | "2021-02-15-100907.924510Humanitarian-Emergency-Response-Africa.png", | 70 | organisations, industry leaders and civil society to identify, gather | ||
71 | and make accessible information that supports open communities and an | ||||
72 | empowered citizenry.\r\nYou can find our website | ||||
73 | [here](https://openup.org.za/).", | ||||
74 | "id": "6266b9cb-427e-4440-a82e-bc35f69159c4", | ||||
75 | "image_url": "2022-07-21-130733.519960openup-logo-2x.png", | ||||
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154 | "state": "active", | 189 | "state": "active", | ||
155 | "tags": [ | 190 | "tags": [ | ||
n | n | 191 | { | ||
192 | "display_name": "COVID-19", | ||||
193 | "id": "5bd04bec-f8af-4985-9b08-ef62371fb945", | ||||
194 | "name": "COVID-19", | ||||
195 | "state": "active", | ||||
196 | "vocabulary_id": null | ||||
197 | }, | ||||
156 | { | 198 | { | ||
157 | "display_name": "africa", | 199 | "display_name": "africa", | ||
158 | "id": "ee0cce28-5aa6-4185-b1c0-4aabdbe51db3", | 200 | "id": "ee0cce28-5aa6-4185-b1c0-4aabdbe51db3", | ||
159 | "name": "africa", | 201 | "name": "africa", | ||
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161 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
162 | }, | 204 | }, | ||
163 | { | 205 | { | ||
164 | "display_name": "cases", | 206 | "display_name": "cases", | ||
165 | "id": "72d69499-eff5-49eb-9fd8-e79fc0a34ac7", | 207 | "id": "72d69499-eff5-49eb-9fd8-e79fc0a34ac7", | ||
166 | "name": "cases", | 208 | "name": "cases", | ||
t | 167 | "state": "active", | t | ||
168 | "vocabulary_id": null | ||||
169 | }, | ||||
170 | { | ||||
171 | "display_name": "covid", | ||||
172 | "id": "01c71412-01aa-41e5-a489-df97a7d56937", | ||||
173 | "name": "covid", | ||||
174 | "state": "active", | 209 | "state": "active", | ||
175 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
176 | }, | 211 | }, | ||
177 | { | 212 | { | ||
178 | "display_name": "deaths", | 213 | "display_name": "deaths", | ||
179 | "id": "f40484f3-4675-4d61-89ca-dcbddaf68a58", | 214 | "id": "f40484f3-4675-4d61-89ca-dcbddaf68a58", | ||
180 | "name": "deaths", | 215 | "name": "deaths", | ||
181 | "state": "active", | 216 | "state": "active", | ||
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184 | { | 219 | { | ||
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186 | "id": "0d4562fc-105b-4996-8669-64b31eae0cfa", | 221 | "id": "0d4562fc-105b-4996-8669-64b31eae0cfa", | ||
187 | "name": "epidemics and outbreaks", | 222 | "name": "epidemics and outbreaks", | ||
188 | "state": "active", | 223 | "state": "active", | ||
189 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
190 | }, | 225 | }, | ||
191 | { | 226 | { | ||
192 | "display_name": "fatalities", | 227 | "display_name": "fatalities", | ||
193 | "id": "d53f688b-81ce-48ca-b8d6-26906234cefb", | 228 | "id": "d53f688b-81ce-48ca-b8d6-26906234cefb", | ||
194 | "name": "fatalities", | 229 | "name": "fatalities", | ||
195 | "state": "active", | 230 | "state": "active", | ||
196 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
197 | }, | 232 | }, | ||
198 | { | 233 | { | ||
199 | "display_name": "gender", | 234 | "display_name": "gender", | ||
200 | "id": "9923e71e-0c99-4abb-a0fa-5e7ccbc74956", | 235 | "id": "9923e71e-0c99-4abb-a0fa-5e7ccbc74956", | ||
201 | "name": "gender", | 236 | "name": "gender", | ||
202 | "state": "active", | 237 | "state": "active", | ||
203 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
204 | }, | 239 | }, | ||
205 | { | 240 | { | ||
206 | "display_name": "health", | 241 | "display_name": "health", | ||
207 | "id": "520725a4-4437-45b8-94c2-eec73306d5e2", | 242 | "id": "520725a4-4437-45b8-94c2-eec73306d5e2", | ||
208 | "name": "health", | 243 | "name": "health", | ||
209 | "state": "active", | 244 | "state": "active", | ||
210 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
211 | }, | 246 | }, | ||
212 | { | 247 | { | ||
213 | "display_name": "hxl", | 248 | "display_name": "hxl", | ||
214 | "id": "25c9f208-d3c2-4138-bf46-c5420f1655da", | 249 | "id": "25c9f208-d3c2-4138-bf46-c5420f1655da", | ||
215 | "name": "hxl", | 250 | "name": "hxl", | ||
216 | "state": "active", | 251 | "state": "active", | ||
217 | "vocabulary_id": null | 252 | "vocabulary_id": null | ||
218 | }, | 253 | }, | ||
219 | { | 254 | { | ||
220 | "display_name": "infectious disease", | 255 | "display_name": "infectious disease", | ||
221 | "id": "e725515e-cd48-498d-a88f-990382622577", | 256 | "id": "e725515e-cd48-498d-a88f-990382622577", | ||
222 | "name": "infectious disease", | 257 | "name": "infectious disease", | ||
223 | "state": "active", | 258 | "state": "active", | ||
224 | "vocabulary_id": null | 259 | "vocabulary_id": null | ||
225 | }, | 260 | }, | ||
226 | { | 261 | { | ||
227 | "display_name": "nigeria", | 262 | "display_name": "nigeria", | ||
228 | "id": "86671c58-04e8-4323-8904-b2b506740271", | 263 | "id": "86671c58-04e8-4323-8904-b2b506740271", | ||
229 | "name": "nigeria", | 264 | "name": "nigeria", | ||
230 | "state": "active", | 265 | "state": "active", | ||
231 | "vocabulary_id": null | 266 | "vocabulary_id": null | ||
232 | }, | 267 | }, | ||
233 | { | 268 | { | ||
234 | "display_name": "recoveries", | 269 | "display_name": "recoveries", | ||
235 | "id": "7f11a29b-b609-4929-8775-df2e70d02c2e", | 270 | "id": "7f11a29b-b609-4929-8775-df2e70d02c2e", | ||
236 | "name": "recoveries", | 271 | "name": "recoveries", | ||
237 | "state": "active", | 272 | "state": "active", | ||
238 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
239 | }, | 274 | }, | ||
240 | { | 275 | { | ||
241 | "display_name": "west africa", | 276 | "display_name": "west africa", | ||
242 | "id": "a7aee99b-fd85-47c6-9e3a-05dd433a7c49", | 277 | "id": "a7aee99b-fd85-47c6-9e3a-05dd433a7c49", | ||
243 | "name": "west africa", | 278 | "name": "west africa", | ||
244 | "state": "active", | 279 | "state": "active", | ||
245 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
246 | } | 281 | } | ||
247 | ], | 282 | ], | ||
248 | "title": "Nigeria: Coronavirus (Covid-19) Subnational", | 283 | "title": "Nigeria: Coronavirus (Covid-19) Subnational", | ||
249 | "type": "dataset", | 284 | "type": "dataset", | ||
250 | "url": | 285 | "url": | ||
251 | "https://data.humdata.org/dataset/nigeria_covid19_subnational", | 286 | "https://data.humdata.org/dataset/nigeria_covid19_subnational", | ||
252 | "version": "" | 287 | "version": "" | ||
253 | } | 288 | } |