Thank you for your answer.
Description
ANTISUERO SALMONELLA O GRUPO C1 FACTOR 7. RTC.
IMSS product code
080.081.1242.10
Each circle represents one of the 87 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 9 | 168,339.7 MXN | 28,435.8 MXN | 21.1 % | 19.4 | 14 de marzo de 2017 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 9 | 270,099.5 MXN | 40,847 MXN | 21.4 % | 15.9 | 16 de marzo de 2018 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 8 | 128,260.4 MXN | 19,558.6 MXN | 21.4 % | 8.91 | 22 de febrero de 2018 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 6 | 155,805.9 MXN | 9,981.8 MXN | 7.71 % | 6.85 | 16 de abril de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 5 | 303,616 MXN | 37,747.6 MXN | 11.7 % | 21.6 | 28 de enero de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 5 | 92,788.4 MXN | 5,605.8 MXN | 7.72 % | 4.61 | 3 de mayo de 2017 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 5 | 58,443.2 MXN | 9,585.3 MXN | 16.9 % | 7 | 6 de junio de 2017 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 5 | 34,292.1 MXN | 5,419 MXN | 18.5 % | 3.09 | 26 de enero de 2016 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 5 | 145,124.5 MXN | 35,717.1 MXN | 38.6 % | 15.1 | 29 de enero de 2016 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 4 | 27,563.6 MXN | 5,200.9 MXN | 27 % | 5.35 | 10 de enero de 2011 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 11,709.2 MXN | 2,005.8 MXN | 17.9 % | 1.09 | 3 de diciembre de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 3 | 7,424 MXN | 1,567.5 MXN | 26.8 % | 1.61 | 29 de diciembre de 2010 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 3 | 9,375 MXN | 1,644.9 MXN | 23.9 % | 1.71 | 18 de enero de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 3,734.8 MXN | 848.3 MXN | 29.6 % | 0.889 | 22 de febrero de 2011 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 3 | 21,880 MXN | 3,436.4 MXN | 21.4 % | 2.13 | 24 de octubre de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 15,683.2 MXN | 3,010 MXN | 55.9 % | 3.09 | 30 de noviembre de 2011 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 4,669 MXN | 764.7 MXN | 19.6 % | 0.784 | 1 de febrero de 2011 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 2 | 9,860 MXN | 2,046.5 MXN | 27.8 % | 2.1 | 1 de enero de 2011 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 10,405.2 MXN | 2,592.9 MXN | 33.2 % | 0.996 | 6 de febrero de 2015 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 224.3 MXN | - MXN | - | - | 1 de junio de 2009 |
| H. de Gineco Obstetricia Núm. 4 "Dr. Luis Castelazo Ayala" Umae Gineco - Obstetricia No. 4 (d.f. Sur) | Ciudad de México | 1 | 5,800 MXN | 965.6 MXN | 20 % | 0.399 | 16 de abril de 2013 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 310,836.9 MXN | 42,874.1 MXN | 16 % | 39.5 | 14 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INTERBIOL, S. A. DE C. V. | 23 | 33,848.7 MXN | 22.2 % | 29.7 | 2009 - 2017 |
| LABORATORIOS BELI, S. A. DE C. V. | 13 | 49,803.2 MXN | 15.2 % | 28.4 | 2009 - 2013 |
| TESSAN GARCIA OMAR FARID | 9 | 4,002.5 MXN | 24.3 % | 4.14 | 2009 - 2011 |
| AVISA MEDICAL, S.A. DE C.V. | 8 | 20,772.9 MXN | 14.7 % | 7.71 | 2015 - 2018 |
| BIO LEBEN, S.A. DE C.V. | 5 | 50,378.7 MXN | 16.9 % | 43.7 | 2010 - 2013 |
| PUBLISALUD, S. A. DE C. V. | 4 | 6,224.5 MXN | 13.9 % | 6.38 | 2010 - 2011 |
| ESCAMILLA ZENTENO AURORA | 3 | 4,524.3 MXN | 15.9 % | 1.86 | 2015 - 2016 |
| MARCAS ESPECIALIZADAS EN DIAGNOSTICO Y REPRESENTAC | 3 | 7,062.5 MXN | 27.8 % | 2.84 | 2013 - 2015 |
| ABALAT, S.A. DE C.V. | 2 | 1,768.1 MXN | 41.5 % | 1.89 | 2009 - 2009 |
| ARBILAB, S.A. DE C.V. | 2 | 15,589.6 MXN | 21.4 % | 5.68 | 2017 - 2018 |
| PRESEFA, S. A. DE C. V. | 2 | 18,524.9 MXN | 20.2 % | 6.3 | 2018 - 2018 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 2 | 28,051.8 MXN | 44.9 % | 10.8 | 2015 - 2015 |
| CASTILLO GALICIA PAULA | 1 | 5,956 MXN | 89 % | 2.67 | 2016 - 2016 |
| DIKYSA, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| FUENTES AGUIRRE CESAR ALFONSO | 1 | 5,544.8 MXN | 31.1 % | 2.49 | 2016 - 2016 |
| LABORATORIOS LAFON, S. A. DE C. V. | 1 | 240.7 MXN | 24.6 % | 0.246 | 2010 - 2010 |
| MEDLAB, SA.. DE C.V. | 1 | 699.5 MXN | 35.8 % | 0.716 | 2010 - 2010 |
| MERCURIO AX, S.A. DE C.V. | 1 | 796.8 MXN | 16 % | 0.32 | 2014 - 2014 |
| NACIONAL TERAPEUTICA, S.A. DE C.V. | 1 | 5,005.7 MXN | 42.8 % | 5.13 | 2011 - 2011 |
| PROVEEDORA DIAGNOSTICA, S. A. DE C. V. | 1 | 899.1 MXN | 9.2 % | 0.92 | 2010 - 2010 |
| SDP MEXICO, S.A. DE C.V. | 1 | 161.5 MXN | 8.28 % | 0.166 | 2011 - 2011 |
| VALBREN DE MEXICO, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| VALENCIA DURAN MARIA ESTER | 1 | - MXN | - | - | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
Information from QuienEsQuien.wiki can be reused without asking for permission, as long as you cite us as the source and use the CC-BY-SA license for your publications.
If you cannot comply with these requirements, please contact us and tell us about your project.
The information gathered on QuiénEsQuién.Wiki comes from public and official sources, such as Compranet and the BMV. If you find that it is inaccurate or contains errors, those are errors in the original sources.
If the information presented about {title} is not correct, please contact us reporting the incorrect information and where we can obtain the correct information. We offer to accompany you in filing a claim with the corresponding entities.
Unfortunately it is very common for companies and people not to fulfill their commitments when providing goods or services. In case of non-compliance in Mexico you can go to Profeco and file a complaint or report as appropriate. If you are the victim of cyber fraud, we invite you to read this guide from the Campaña Nacional Antifraude Cibernético.
If you are the victim of extortion, take screenshots of the messages you received and go to the public prosecutor's office to request protection, or call 088 for guidance on filing the corresponding report. Recommendations for reporting phone extortion. If the extortionists have explicitly mentioned QuienEsQuien.wiki in their messages, please send us a copy of the messages.
If you want to request quotes, offer your services, file claims against companies or contact people, we recommend looking for their official website or using another means of contact. QuienEsQuien.wiki is not an advertising site and has no contact with the companies and people mentioned on the site.
Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.081.1242.10")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.081.1242.10')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.081.1242.10')