Changes
On December 21, 2021 at 3:01:11 PM UTC, eawrdmadmin:
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Added resource 02_Analysis.zip to Data for: What agro-input dealers know, sell and say to smallholder farmers about pesticides: A mystery shopping and KAP analysis in Uganda.
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Added field
datastore_active
to resource 01_Study_Tools.zip in Data for: What agro-input dealers know, sell and say to smallholder farmers about pesticides: A mystery shopping and KAP analysis in Uganda.
f | 1 | { | f | 1 | { |
2 | "author": "[\"Staudacher, Philipp\", \"Brugger, Curdin\", \"Winkler, | 2 | "author": "[\"Staudacher, Philipp\", \"Brugger, Curdin\", \"Winkler, | ||
3 | Mirko\", \"Stamm, Christian\", \"Farnham, Andrea\", \"Mubeezi, Ruth\", | 3 | Mirko\", \"Stamm, Christian\", \"Farnham, Andrea\", \"Mubeezi, Ruth\", | ||
4 | \"Eggen, Rik\", \"G\\u00fcnther, Isabel\"]", | 4 | \"Eggen, Rik\", \"G\\u00fcnther, Isabel\"]", | ||
5 | "author_email": null, | 5 | "author_email": null, | ||
6 | "creator_user_id": "064a4293-f097-4005-98d5-65b49b35ccf3", | 6 | "creator_user_id": "064a4293-f097-4005-98d5-65b49b35ccf3", | ||
7 | "extras": [ | 7 | "extras": [ | ||
8 | { | 8 | { | ||
9 | "key": "citation", | 9 | "key": "citation", | ||
10 | "value": "Staudacher, P., Brugger, C., Winkler, M., Stamm, C. | 10 | "value": "Staudacher, P., Brugger, C., Winkler, M., Stamm, C. | ||
11 | <christian.stamm@eawag.ch, Farnham, A. <andrea.farnham@swisstph.ch, | 11 | <christian.stamm@eawag.ch, Farnham, A. <andrea.farnham@swisstph.ch, | ||
12 | Mubeezi, R., et al. (2021). Data for: What agro-input dealers know, | 12 | Mubeezi, R., et al. (2021). Data for: What agro-input dealers know, | ||
13 | sell and say to smallholder farmers about pesticides: A mystery | 13 | sell and say to smallholder farmers about pesticides: A mystery | ||
14 | shopping and KAP analysis in Uganda. (Version 1.0) [Data set]. Eawag: | 14 | shopping and KAP analysis in Uganda. (Version 1.0) [Data set]. Eawag: | ||
15 | Swiss Federal Institute of Aquatic Science and Technology. | 15 | Swiss Federal Institute of Aquatic Science and Technology. | ||
16 | https://doi.org/10.25678/0004CX" | 16 | https://doi.org/10.25678/0004CX" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "key": "citation_publication", | 19 | "key": "citation_publication", | ||
20 | "value": "Staudacher, P., Brugger, C., Winkler, M. S., Stamm, | 20 | "value": "Staudacher, P., Brugger, C., Winkler, M. S., Stamm, | ||
21 | C., Farnham, A., Mubeezi, R., et al. (2021). What agro-input dealers | 21 | C., Farnham, A., Mubeezi, R., et al. (2021). What agro-input dealers | ||
22 | know, sell and say to smallholder farmers about pesticides: a mystery | 22 | know, sell and say to smallholder farmers about pesticides: a mystery | ||
23 | shopping and KAP analysis in Uganda. <i>Environmental Health</i>, | 23 | shopping and KAP analysis in Uganda. <i>Environmental Health</i>, | ||
24 | <i>20</i>(1), 100. https://doi.org/10.1186/s12940-021-00775-2" | 24 | <i>20</i>(1), 100. https://doi.org/10.1186/s12940-021-00775-2" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "key": "doi", | 27 | "key": "doi", | ||
28 | "value": "10.25678/0004CX" | 28 | "value": "10.25678/0004CX" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "key": "geographic_name", | 31 | "key": "geographic_name", | ||
32 | "value": "[\"Country: Uganda\", \"Districts as of 2014: Bugiri, | 32 | "value": "[\"Country: Uganda\", \"Districts as of 2014: Bugiri, | ||
33 | Bushenyi, Hoima, Kabale, Kabarole, Kampala, Kamuli, Kamwenge, Kasese, | 33 | Bushenyi, Hoima, Kabale, Kabarole, Kampala, Kamuli, Kamwenge, Kasese, | ||
34 | Kayunga, Kibaale, Kyenjojo, lbanda, lganga, Luweero, Mbarara, Mityana, | 34 | Kayunga, Kibaale, Kyenjojo, lbanda, lganga, Luweero, Mbarara, Mityana, | ||
35 | Mpigi, Nakaseke, Rakai, Wakiso (Pilot)\", \"Districts as of 2019: | 35 | Mpigi, Nakaseke, Rakai, Wakiso (Pilot)\", \"Districts as of 2019: | ||
36 | Bugiri, Bugweri, Buhweju, Bunyangabu, Bushenyi, Butambala, Gomba, | 36 | Bugiri, Bugweri, Buhweju, Bunyangabu, Bushenyi, Butambala, Gomba, | ||
37 | Hoima, Ibanda, Iganga, Kabale, Kabarole, Kagadi, Kakumiro, Kampala, | 37 | Hoima, Ibanda, Iganga, Kabale, Kabarole, Kagadi, Kakumiro, Kampala, | ||
38 | Kamuli, Kamwenge, Kasese, Kayunga, Kibaale, Kikuube, Kitagwenda, | 38 | Kamuli, Kamwenge, Kasese, Kayunga, Kibaale, Kikuube, Kitagwenda, | ||
39 | Kyenjojo, Kyotera, Luweero, Mbarara, Mityana, Mpigi, Nakaseke, Rakai, | 39 | Kyenjojo, Kyotera, Luweero, Mbarara, Mityana, Mpigi, Nakaseke, Rakai, | ||
40 | Rubanda ,Rubirizi, Rukiga, Rwampara, Shema, Wakiso (Pilot)\", \"Towns: | 40 | Rubanda ,Rubirizi, Rukiga, Rwampara, Shema, Wakiso (Pilot)\", \"Towns: | ||
41 | Bamunanika, Bbaale, Biguli, Biguri town, Bombo town council, Bonmbo | 41 | Bamunanika, Bbaale, Biguli, Biguri town, Bombo town council, Bonmbo | ||
42 | town council, Bugiri, Bugiri District, Bugiri Municipal Council, | 42 | town council, Bugiri, Bugiri District, Bugiri Municipal Council, | ||
43 | Bugiri town, Bugiri trading center, Bugulumbya subcounty Nakibungulya | 43 | Bugiri town, Bugiri trading center, Bugulumbya subcounty Nakibungulya | ||
44 | town, Buhimba, Bulera TC, Bulo, Busaana town council, Busembantia | 44 | town, Buhimba, Bulera TC, Bulo, Busaana town council, Busembantia | ||
45 | trading centre, Busembatia, Buseruka, Bushenyi, Busiika, Busow, | 45 | trading centre, Busembatia, Buseruka, Bushenyi, Busiika, Busow, | ||
46 | Busowa, Busunju, Busunju TC, Butalangu town council, Butare, Butare | 46 | Busowa, Busunju, Busunju TC, Butalangu town council, Butare, Butare | ||
47 | kyamuhunga, Butare Kyamuhunga Bushenyi, Buteraniro town council, | 47 | kyamuhunga, Butare Kyamuhunga Bushenyi, Buteraniro town council, | ||
48 | Buwama, Buwama town, Buwuni, Bwizibwera, Central Market, Central | 48 | Buwama, Buwama town, Buwuni, Bwizibwera, Central Market, Central | ||
49 | market, Central market Mbarara, Container Village, Container village, | 49 | market, Central market Mbarara, Container Village, Container village, | ||
50 | Fort portal, Fortportal, Hamurwa, Hima town, Hoima, Hoima taxi park., | 50 | Fort portal, Fortportal, Hamurwa, Hima town, Hoima, Hoima taxi park., | ||
51 | Hoima town, Ibanda, Ibanda municipality, Ibanda town, Idudi, Idudi | 51 | Hoima town, Ibanda, Ibanda municipality, Ibanda town, Idudi, Idudi | ||
52 | Market, Iganga, Iganga district, Iganga Municipal Council, Iganga | 52 | Market, Iganga, Iganga district, Iganga Municipal Council, Iganga | ||
53 | town, Igorora, Isaka, Ishaka, Ishongororo, Ishongororo town council, | 53 | town, Igorora, Isaka, Ishaka, Ishongororo, Ishongororo town council, | ||
54 | Kabaale town, Kabale, Kabale municipality, Kabale town, Kabuga trading | 54 | Kabaale town, Kabale, Kabale municipality, Kabale town, Kabuga trading | ||
55 | centre, Kabundaire, Kabwohe, Kabwoohe, Kabwoya, Kabwoya trading | 55 | centre, Kabundaire, Kabwohe, Kabwoohe, Kabwoya, Kabwoya trading | ||
56 | centre, Kagadi, Kaharo sub county, Kahunge, Kahunge town, Kaihura, | 56 | centre, Kagadi, Kaharo sub county, Kahunge, Kahunge town, Kaihura, | ||
57 | Kakindu, Kakumiro, Kakumiro town, Kalerwe TC, Kalisizo, Kalisizo | 57 | Kakindu, Kakumiro, Kakumiro town, Kalerwe TC, Kalisizo, Kalisizo | ||
58 | town., Kamengo TC, Kammengo, Kamuli, Kamuli municipality, Kamuli Taxi | 58 | town., Kamengo TC, Kammengo, Kamuli, Kamuli municipality, Kamuli Taxi | ||
59 | park, Kamuli town, Kamwenge, Kamwenge town council, Kamwengye, | 59 | park, Kamuli town, Kamwenge, Kamwenge town council, Kamwengye, | ||
60 | Kangulumila, Kangulumira, Kanoni, Kapeeka, Karago town council, | 60 | Kangulumila, Kangulumira, Kanoni, Kapeeka, Karago town council, | ||
61 | Karuguza, Kasaana, Kasambira, Kasese, Kasese municipality, Kasese | 61 | Karuguza, Kasaana, Kasambira, Kasese, Kasese municipality, Kasese | ||
62 | rukoki, Kasese town, Kashenyi town council butare, Katalyeba, | 62 | rukoki, Kasese town, Kashenyi town council butare, Katalyeba, | ||
63 | Kataryeba town council, Katooke, Kayabwe TC, Kayebwa TC, Kayunga, | 63 | Kataryeba town council, Katooke, Kayabwe TC, Kayebwa TC, Kayunga, | ||
64 | Kayunga town, Kayunga Town council, Kayunga-church road, Kenara | 64 | Kayunga town, Kayunga Town council, Kayunga-church road, Kenara | ||
65 | central, Kibaale, Kibaale., Kibibi, Kibibi trading centre, Kibiito, | 65 | central, Kibaale, Kibaale., Kibibi, Kibibi trading centre, Kibiito, | ||
66 | Kiburara, Kigolobya, Kigooro, Kigoro, Kigorobya, Kiisita, Kikyanga, | 66 | Kiburara, Kigolobya, Kigooro, Kigoro, Kigorobya, Kiisita, Kikyanga, | ||
67 | Kikyusa, Kinyamaseke, Kipapati, Kisiita, Kisozi, Kisozi parish, | 67 | Kikyusa, Kinyamaseke, Kipapati, Kisiita, Kisozi, Kisozi parish, | ||
68 | Kitimbwa trading center, Kitodha parish, Kiwoko, Kiwoko town council, | 68 | Kitimbwa trading center, Kitodha parish, Kiwoko, Kiwoko town council, | ||
69 | Kiziranfumbi, Kyangwalli, Kyejonjo, Kyengera, Kyenjojo, Kyenjojo town | 69 | Kiziranfumbi, Kyangwalli, Kyejonjo, Kyengera, Kyenjojo, Kyenjojo town | ||
70 | council, Kyenkanga trading centre, Kyenznge trading centre, | 70 | council, Kyenkanga trading centre, Kyenznge trading centre, | ||
71 | Kyobugombe, Kyotera, Kyotera town, Kyotera., Lumbugu, Lumbugu., | 71 | Kyobugombe, Kyotera, Kyotera town, Kyotera., Lumbugu, Lumbugu., | ||
72 | Luweero, Luwero town, Lwamagwa, Lwamagwa town, Mabaale, Mabonwa, | 72 | Luweero, Luwero town, Lwamagwa, Lwamagwa town, Mabaale, Mabonwa, | ||
73 | Majengo ( kasese), Majengo( Rukooki), Matiri, Matiri trading centre, | 73 | Majengo ( kasese), Majengo( Rukooki), Matiri, Matiri trading centre, | ||
74 | Mayuge, Mbarara, Mbarara old tax park, Mbarara town, Mitala Maria, | 74 | Mayuge, Mbarara, Mbarara old tax park, Mbarara town, Mitala Maria, | ||
75 | Mityana, Mityana monicipal, Mityana monicipal council, Mpefu, Mperelwe | 75 | Mityana, Mityana monicipal, Mityana monicipal council, Mpefu, Mperelwe | ||
76 | Trading centre, Mpigi, Mpigi town, Mpigi-kalagala TC, Mpirigwa, Mubuku | 76 | Trading centre, Mpigi, Mpigi town, Mpigi-kalagala TC, Mpirigwa, Mubuku | ||
77 | trading centre98, Mugusu, Muhanga town council, Muhorro, Muko parish | 77 | trading centre98, Mugusu, Muhanga town council, Muhorro, Muko parish | ||
78 | in Rubanda, Mukunyu, Mwaro mubuku, Myenjojo town council, Nabitende, | 78 | in Rubanda, Mukunyu, Mwaro mubuku, Myenjojo town council, Nabitende, | ||
79 | Nabitende banada, Nabukalu, Nakaseke, Nakaseke TC, Nakawa Market, | 79 | Nabitende banada, Nabukalu, Nakaseke, Nakaseke TC, Nakawa Market, | ||
80 | Nakivubo, Nakivubo place container village, Nakivubo road Container | 80 | Nakivubo, Nakivubo place container village, Nakivubo road Container | ||
81 | village, Nakivubo street, Nakivumbi, Nakivumbi Trading Centre, | 81 | village, Nakivubo street, Nakivumbi, Nakivumbi Trading Centre, | ||
82 | Namayemba, Naminage, Namungalwe, Namwendwa, Nankandulo trading centre, | 82 | Namayemba, Naminage, Namungalwe, Namwendwa, Nankandulo trading centre, | ||
83 | Nankandulu, Nankoma, Nankoma town council, Nateete, Natteta parish, | 83 | Nankandulu, Nankoma, Nankoma town council, Nateete, Natteta parish, | ||
84 | Nawanyago, Nazigo, Nazigo town, Ndekye, Ngoma, Ntara, Ntinda, | 84 | Nawanyago, Nazigo, Nazigo town, Ndekye, Ngoma, Ntara, Ntinda, | ||
85 | Nyaihanga Trading centre., Nyakigumba, Nyamarunda, Nyeihanga, Raki | 85 | Nyaihanga Trading centre., Nyakigumba, Nyamarunda, Nyeihanga, Raki | ||
86 | town council, Rubanda, Rubindi, Rubindi town, Rubirizi, Rugombe, | 86 | town council, Rubanda, Rubindi, Rubindi town, Rubirizi, Rugombe, | ||
87 | Rukoki, Rukoki kasese, Rukooki, Rukunyu, Rwebikona, Rwenkobwa, | 87 | Rukoki, Rukoki kasese, Rukooki, Rukunyu, Rwebikona, Rwenkobwa, | ||
88 | Rwibaale, Rwibale, Rwimi, Rwimi bunyangabo, Semuto, Semuto TC, Semuto | 88 | Rwibaale, Rwibale, Rwimi, Rwimi bunyangabo, Semuto, Semuto TC, Semuto | ||
89 | town council, Ssekanyonyi, Uganda municipality, Wobulenzi, Zigoti\"]" | 89 | town council, Ssekanyonyi, Uganda municipality, Wobulenzi, Zigoti\"]" | ||
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175 | 4.368320420876243 ] ] ] }" | 175 | 4.368320420876243 ] ] ] }" | ||
176 | }, | 176 | }, | ||
177 | { | 177 | { | ||
178 | "key": "status", | 178 | "key": "status", | ||
179 | "value": "complete" | 179 | "value": "complete" | ||
180 | }, | 180 | }, | ||
181 | { | 181 | { | ||
182 | "key": "substances", | 182 | "key": "substances", | ||
183 | "value": "[]" | 183 | "value": "[]" | ||
184 | }, | 184 | }, | ||
185 | { | 185 | { | ||
186 | "key": "substances_generic", | 186 | "key": "substances_generic", | ||
187 | "value": "[\"pesticides\", \"herbicides\", \"insecticides\", | 187 | "value": "[\"pesticides\", \"herbicides\", \"insecticides\", | ||
188 | \"fungicides\"]" | 188 | \"fungicides\"]" | ||
189 | }, | 189 | }, | ||
190 | { | 190 | { | ||
191 | "key": "systems", | 191 | "key": "systems", | ||
192 | "value": "[\"urban\", \"rural\", \"city\", \"town\", | 192 | "value": "[\"urban\", \"rural\", \"city\", \"town\", | ||
193 | \"village\", \"shop\", \"agro-input dealer\", \"dealership\", | 193 | \"village\", \"shop\", \"agro-input dealer\", \"dealership\", | ||
194 | \"pesticide shop\"]" | 194 | \"pesticide shop\"]" | ||
195 | }, | 195 | }, | ||
196 | { | 196 | { | ||
197 | "key": "tags_string", | 197 | "key": "tags_string", | ||
198 | "value": | 198 | "value": | ||
199 | "Attitude,Counterfeit,Highly-hazardous,Knowledge,Pesticide | 199 | "Attitude,Counterfeit,Highly-hazardous,Knowledge,Pesticide | ||
200 | dealer,Practices,Registration,Retail,Risk communication,Smallholder" | 200 | dealer,Practices,Registration,Retail,Risk communication,Smallholder" | ||
201 | }, | 201 | }, | ||
202 | { | 202 | { | ||
203 | "key": "taxa", | 203 | "key": "taxa", | ||
204 | "value": "[]" | 204 | "value": "[]" | ||
205 | }, | 205 | }, | ||
206 | { | 206 | { | ||
207 | "key": "taxa_generic", | 207 | "key": "taxa_generic", | ||
208 | "value": "[]" | 208 | "value": "[]" | ||
209 | }, | 209 | }, | ||
210 | { | 210 | { | ||
211 | "key": "timerange", | 211 | "key": "timerange", | ||
212 | "value": "[\"[2019-10-15 TO 2019-11-28]\"]" | 212 | "value": "[\"[2019-10-15 TO 2019-11-28]\"]" | ||
213 | }, | 213 | }, | ||
214 | { | 214 | { | ||
215 | "key": "variables", | 215 | "key": "variables", | ||
216 | "value": "[\"none\"]" | 216 | "value": "[\"none\"]" | ||
217 | } | 217 | } | ||
218 | ], | 218 | ], | ||
219 | "groups": [], | 219 | "groups": [], | ||
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222 | "license_id": null, | 222 | "license_id": null, | ||
223 | "license_title": null, | 223 | "license_title": null, | ||
224 | "maintainer": "Staudacher, Philipp", | 224 | "maintainer": "Staudacher, Philipp", | ||
225 | "maintainer_email": "philipp.staudacher@eawag.ch", | 225 | "maintainer_email": "philipp.staudacher@eawag.ch", | ||
226 | "metadata_created": "2021-12-21T15:01:06.840855", | 226 | "metadata_created": "2021-12-21T15:01:06.840855", | ||
227 | "metadata_modified": "2021-12-21T15:01:06.840863", | 227 | "metadata_modified": "2021-12-21T15:01:06.840863", | ||
228 | "name": "agro-input-dealer-uganda-2019", | 228 | "name": "agro-input-dealer-uganda-2019", | ||
229 | "notes": "**Dataset for MYSKAPADU:** Mystery Shopping, and | 229 | "notes": "**Dataset for MYSKAPADU:** Mystery Shopping, and | ||
230 | Knowledge, Attitude and Practice of Pesticides among Agro-Input | 230 | Knowledge, Attitude and Practice of Pesticides among Agro-Input | ||
231 | Dealers in Uganda\r\nIncluding study tools to collect data, raw data, | 231 | Dealers in Uganda\r\nIncluding study tools to collect data, raw data, | ||
232 | analysis scripts, analyzed outcomes and final | 232 | analysis scripts, analyzed outcomes and final | ||
233 | data\r\n\r\n**Publication Title:**\r\nWhat agro-input dealers know, | 233 | data\r\n\r\n**Publication Title:**\r\nWhat agro-input dealers know, | ||
234 | sell and say to smallholder farmers about pesticides: A mystery | 234 | sell and say to smallholder farmers about pesticides: A mystery | ||
235 | shopping and KAP analysis in Uganda.\r\n\r\n**Publication | 235 | shopping and KAP analysis in Uganda.\r\n\r\n**Publication | ||
236 | abstract:**\r\n**Background:** Pesticides can have negative effects on | 236 | abstract:**\r\n**Background:** Pesticides can have negative effects on | ||
237 | human and environmental health, especially when not handled as | 237 | human and environmental health, especially when not handled as | ||
238 | intended. In many countries, agro-input dealers sell pesticides to | 238 | intended. In many countries, agro-input dealers sell pesticides to | ||
239 | smallholder farmers and are supposed to provide recommendations on | 239 | smallholder farmers and are supposed to provide recommendations on | ||
240 | application and handling. This study investigates the role of | 240 | application and handling. This study investigates the role of | ||
241 | agro-input dealers in transmitting safety information from chemical | 241 | agro-input dealers in transmitting safety information from chemical | ||
242 | manufacturers to smallholder farmers, assesses the safety of their | 242 | manufacturers to smallholder farmers, assesses the safety of their | ||
243 | shops, what products they sell, and how agro-input dealers abide by | 243 | shops, what products they sell, and how agro-input dealers abide by | ||
244 | laws and recommendations on best practices for preventing pesticide | 244 | laws and recommendations on best practices for preventing pesticide | ||
245 | risk situations.\r\n\r\n**Methods:** Applying a mixed-methods | 245 | risk situations.\r\n\r\n**Methods:** Applying a mixed-methods | ||
246 | approach, we studied agro-input dealers in Central and Western Uganda. | 246 | approach, we studied agro-input dealers in Central and Western Uganda. | ||
247 | Structured questionnaires were applied to understand agro-input | 247 | Structured questionnaires were applied to understand agro-input | ||
248 | dealers\u2019 knowledge, attitude and practices on pesticides (n = | 248 | dealers\u2019 knowledge, attitude and practices on pesticides (n = | ||
249 | 402). Shop layout (n = 392) and sales interaction (n = 236) were | 249 | 402). Shop layout (n = 392) and sales interaction (n = 236) were | ||
250 | assessed through observations. Actual behavior of agro-input dealers | 250 | assessed through observations. Actual behavior of agro-input dealers | ||
251 | when selling pesticides was revealed through mystery shopping with | 251 | when selling pesticides was revealed through mystery shopping with | ||
252 | local farmers buying pesticides (n = 94).\r\n\r\n**Results:** While | 252 | local farmers buying pesticides (n = 94).\r\n\r\n**Results:** While | ||
253 | 97.0% of agro-input dealers considered advising customers their | 253 | 97.0% of agro-input dealers considered advising customers their | ||
254 | responsibility, only 26.6% of mystery shoppers received any advice | 254 | responsibility, only 26.6% of mystery shoppers received any advice | ||
255 | from agro-input dealers when buying pesticides. 53.2% of products | 255 | from agro-input dealers when buying pesticides. 53.2% of products | ||
256 | purchased were officially recommended. Sales interactions focused | 256 | purchased were officially recommended. Sales interactions focused | ||
257 | mainly on product choice and price. Agro-input dealers | 257 | mainly on product choice and price. Agro-input dealers | ||
258 | showed\r\nlimited understanding of labels and active ingredients. | 258 | showed\r\nlimited understanding of labels and active ingredients. | ||
259 | Moreover, 25.0% of shops were selling repackaged products, while 10.5% | 259 | Moreover, 25.0% of shops were selling repackaged products, while 10.5% | ||
260 | sold unmarked or unlabeled products. 90.1% of shops were lacking | 260 | sold unmarked or unlabeled products. 90.1% of shops were lacking | ||
261 | safety equipment. Pesticides of World Health Organization toxicity | 261 | safety equipment. Pesticides of World Health Organization toxicity | ||
262 | class I and II were sold most frequently. Awareness of health effects | 262 | class I and II were sold most frequently. Awareness of health effects | ||
263 | seemed to be high, although agro-input dealers showed incomplete | 263 | seemed to be high, although agro-input dealers showed incomplete | ||
264 | hygiene practices and were lacking infrastructure. One reason for | 264 | hygiene practices and were lacking infrastructure. One reason for | ||
265 | these findings might be that only 55.7% of agro-input dealers held a | 265 | these findings might be that only 55.7% of agro-input dealers held a | ||
266 | certificate of competency on safe handling of pesticides and even | 266 | certificate of competency on safe handling of pesticides and even | ||
267 | fewer (5.7%) were able to provide a government-approved up-to-date | 267 | fewer (5.7%) were able to provide a government-approved up-to-date | ||
268 | license.\r\n\r\n**Conclusion:** The combination of interviews, mystery | 268 | license.\r\n\r\n**Conclusion:** The combination of interviews, mystery | ||
269 | shopping and observations proved to be useful, allowing the comparison | 269 | shopping and observations proved to be useful, allowing the comparison | ||
270 | of stated and actual behavior. While agro-input dealers want to sell | 270 | of stated and actual behavior. While agro-input dealers want to sell | ||
271 | pesticides and provide the corresponding risk advice, their customers | 271 | pesticides and provide the corresponding risk advice, their customers | ||
272 | might receive neither the appropriate product nor sufficient advice on | 272 | might receive neither the appropriate product nor sufficient advice on | ||
273 | proper handling. In light of the expected increase in pesticide use, | 273 | proper handling. In light of the expected increase in pesticide use, | ||
274 | affordable, accessible and repeated pesticide training and shop | 274 | affordable, accessible and repeated pesticide training and shop | ||
275 | inspections are indispensable.", | 275 | inspections are indispensable.", | ||
n | 276 | "num_resources": 3, | n | 276 | "num_resources": 4, |
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278 | "organization": { | 278 | "organization": { | ||
279 | "approval_status": "approved", | 279 | "approval_status": "approved", | ||
280 | "created": "2019-09-18T14:11:46.198533", | 280 | "created": "2019-09-18T14:11:46.198533", | ||
281 | "description": "Our activities focus on understanding how | 281 | "description": "Our activities focus on understanding how | ||
282 | agriculture and urban sources affect water quality. We concentrate on | 282 | agriculture and urban sources affect water quality. We concentrate on | ||
283 | organic (micro-)pollutants. We also consider impacts of heavy metals | 283 | organic (micro-)pollutants. We also consider impacts of heavy metals | ||
284 | and nutrients and work on concepts on how to best monitor water | 284 | and nutrients and work on concepts on how to best monitor water | ||
285 | quality in practice. Interdisciplinary studies on issues like linking | 285 | quality in practice. Interdisciplinary studies on issues like linking | ||
286 | water quality and ecological effects (e.g. EcoImpact) or policies of | 286 | water quality and ecological effects (e.g. EcoImpact) or policies of | ||
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386 | { | 413 | { | ||
387 | "display_name": "Attitude", | 414 | "display_name": "Attitude", | ||
388 | "id": "6669749c-4a9d-4035-a7f2-a66508c79466", | 415 | "id": "6669749c-4a9d-4035-a7f2-a66508c79466", | ||
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391 | "vocabulary_id": null | 418 | "vocabulary_id": null | ||
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394 | "display_name": "Counterfeit", | 421 | "display_name": "Counterfeit", | ||
395 | "id": "68335abc-cd8c-4707-a51c-d8083b11cf96", | 422 | "id": "68335abc-cd8c-4707-a51c-d8083b11cf96", | ||
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397 | "state": "active", | 424 | "state": "active", | ||
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404 | "state": "active", | 431 | "state": "active", | ||
405 | "vocabulary_id": null | 432 | "vocabulary_id": null | ||
406 | }, | 433 | }, | ||
407 | { | 434 | { | ||
408 | "display_name": "Knowledge", | 435 | "display_name": "Knowledge", | ||
409 | "id": "bebb66e8-341e-4cd3-af0d-985336e5242f", | 436 | "id": "bebb66e8-341e-4cd3-af0d-985336e5242f", | ||
410 | "name": "Knowledge", | 437 | "name": "Knowledge", | ||
411 | "state": "active", | 438 | "state": "active", | ||
412 | "vocabulary_id": null | 439 | "vocabulary_id": null | ||
413 | }, | 440 | }, | ||
414 | { | 441 | { | ||
415 | "display_name": "Pesticide dealer", | 442 | "display_name": "Pesticide dealer", | ||
416 | "id": "b6b3ed36-6ea8-41bf-80b1-582b1b855f74", | 443 | "id": "b6b3ed36-6ea8-41bf-80b1-582b1b855f74", | ||
417 | "name": "Pesticide dealer", | 444 | "name": "Pesticide dealer", | ||
418 | "state": "active", | 445 | "state": "active", | ||
419 | "vocabulary_id": null | 446 | "vocabulary_id": null | ||
420 | }, | 447 | }, | ||
421 | { | 448 | { | ||
422 | "display_name": "Practices", | 449 | "display_name": "Practices", | ||
423 | "id": "00afb627-c747-494e-a4e4-d4113b256cc9", | 450 | "id": "00afb627-c747-494e-a4e4-d4113b256cc9", | ||
424 | "name": "Practices", | 451 | "name": "Practices", | ||
425 | "state": "active", | 452 | "state": "active", | ||
426 | "vocabulary_id": null | 453 | "vocabulary_id": null | ||
427 | }, | 454 | }, | ||
428 | { | 455 | { | ||
429 | "display_name": "Registration", | 456 | "display_name": "Registration", | ||
430 | "id": "fc3f71d8-adb9-4577-a93b-82dc39f62eae", | 457 | "id": "fc3f71d8-adb9-4577-a93b-82dc39f62eae", | ||
431 | "name": "Registration", | 458 | "name": "Registration", | ||
432 | "state": "active", | 459 | "state": "active", | ||
433 | "vocabulary_id": null | 460 | "vocabulary_id": null | ||
434 | }, | 461 | }, | ||
435 | { | 462 | { | ||
436 | "display_name": "Retail", | 463 | "display_name": "Retail", | ||
437 | "id": "18654355-b723-4570-b607-088f6b5e200e", | 464 | "id": "18654355-b723-4570-b607-088f6b5e200e", | ||
438 | "name": "Retail", | 465 | "name": "Retail", | ||
439 | "state": "active", | 466 | "state": "active", | ||
440 | "vocabulary_id": null | 467 | "vocabulary_id": null | ||
441 | }, | 468 | }, | ||
442 | { | 469 | { | ||
443 | "display_name": "Risk communication", | 470 | "display_name": "Risk communication", | ||
444 | "id": "d3b5b9c0-54bc-47e9-bd93-6d0cd54ea99a", | 471 | "id": "d3b5b9c0-54bc-47e9-bd93-6d0cd54ea99a", | ||
445 | "name": "Risk communication", | 472 | "name": "Risk communication", | ||
446 | "state": "active", | 473 | "state": "active", | ||
447 | "vocabulary_id": null | 474 | "vocabulary_id": null | ||
448 | }, | 475 | }, | ||
449 | { | 476 | { | ||
450 | "display_name": "Smallholder", | 477 | "display_name": "Smallholder", | ||
451 | "id": "91eea42c-6d19-4f7d-85a8-b46661a8c854", | 478 | "id": "91eea42c-6d19-4f7d-85a8-b46661a8c854", | ||
452 | "name": "Smallholder", | 479 | "name": "Smallholder", | ||
453 | "state": "active", | 480 | "state": "active", | ||
454 | "vocabulary_id": null | 481 | "vocabulary_id": null | ||
455 | } | 482 | } | ||
456 | ], | 483 | ], | ||
457 | "title": "Data for:\u00a0What agro-input dealers know, sell and say | 484 | "title": "Data for:\u00a0What agro-input dealers know, sell and say | ||
458 | to smallholder farmers about pesticides: A mystery shopping and KAP | 485 | to smallholder farmers about pesticides: A mystery shopping and KAP | ||
459 | analysis in Uganda.", | 486 | analysis in Uganda.", | ||
460 | "type": "dataset", | 487 | "type": "dataset", | ||
461 | "url": "https://doi.org/10.25678/0004CX/", | 488 | "url": "https://doi.org/10.25678/0004CX/", | ||
462 | "version": null | 489 | "version": null | ||
463 | } | 490 | } |