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Description
FEBRILES. SUERO CONTROL POSITIVO. ANTIGENOS PARA AGLUTINACION MACROSCOPICA EN PLACA O TUBO PARA EL DIAGNOSTICO SEROLOGICO EN PROCESOS INFECCIOSOS PRODUCIDOS POR MICROORGANISMOS DE LOS GENEROS: SALMONELLA Y BRUCELLA. FRAS
IMSS product code
080.835.0573.11
Each circle represents one of the 121 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí | San Luis Potosi | 13 | 6,033.3 MXN | 4,837.1 MXN | 419.2 % | 65.6 | 13 de octubre de 2016 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 7 | 7,129.9 MXN | 2,234 MXN | 47.4 % | 48.8 | 22 de febrero de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 7 | 9,081.6 MXN | 1,543.5 MXN | 19.7 % | 32.7 | 2 de octubre de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 7 | 3,994.8 MXN | 340.9 MXN | 14.5 % | 8.32 | 11 de diciembre de 2018 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 7 | 9,393.7 MXN | 2,079.2 MXN | 26.4 % | 23.4 | 6 de marzo de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 7 | 14,908.3 MXN | 3,386.6 MXN | 32.6 % | 53.8 | 9 de mayo de 2018 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 7 | 38,450.1 MXN | 469.2 MXN | 3.27 % | 5.12 | 29 de octubre de 2018 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 7 | 11,954.4 MXN | 6,999.8 MXN | 167.7 % | 124.5 | 1 de febrero de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 6 | 27,945.6 MXN | 258.2 MXN | 4.53 % | 2.57 | 10 de abril de 2017 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 6 | 23,207.5 MXN | 1,942.2 MXN | 9.66 % | 24.1 | 15 de marzo de 2018 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 6 | 8,912.3 MXN | 642.6 MXN | 18.7 % | 14.3 | 26 de marzo de 2018 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 6 | 16,105.1 MXN | 5,137.9 MXN | 38.2 % | 111.4 | 8 de febrero de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 5 | 60,488.5 MXN | 11,310.7 MXN | 24.2 % | 139.6 | 14 de marzo de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 4 | 4,631.7 MXN | 1,264.3 MXN | 36.5 % | 18 | 19 de abril de 2017 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 4 | 12,985 MXN | 1,477.6 MXN | 15.5 % | 29.9 | 20 de marzo de 2015 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 4 | 7,371.8 MXN | 7,048.7 MXN | 2,045.8 % | 127.4 | 24 de noviembre de 2016 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 3 | 1,719.1 MXN | 221.3 MXN | 14.4 % | 5.72 | 17 de enero de 2014 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 6,936.8 MXN | 914.9 MXN | 15.2 % | 16.3 | 13 de febrero de 2018 |
| Delegación Baja California | Baja California | 2 | 646.1 MXN | 531.7 MXN | 464.5 % | 10.8 | 21 de febrero de 2014 |
| Delegación Chihuahua | Chihuahua | 2 | 2,165.9 MXN | 2,037.3 MXN | 1,777.3 % | 55.1 | 16 de mayo de 2013 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 2 | 182.1 MXN | 79.9 MXN | 77.2 % | 1.54 | 26 de noviembre de 2015 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 2 | 1,921 MXN | 229.7 MXN | 17.2 % | 4.13 | 26 de marzo de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 1,336.3 MXN | 310.5 MXN | 17.5 % | 8.4 | 9 de enero de 2013 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 1,299.2 MXN | 782 MXN | 151.2 % | 21.2 | 25 de septiembre de 2013 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 403.7 MXN | 182 MXN | 82.1 % | 4.93 | 12 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 16 | 5,393.2 MXN | 22 % | 60.1 | 2013 - 2018 |
| LABORATORIOS BELI, S. A. DE C. V. | 10 | 2,206.2 MXN | 17.8 % | 52.7 | 2013 - 2015 |
| REPRESENTACIONES MEDICAS Y DE LABORATORIOS DE GUAD | 10 | 1,944.3 MXN | 252.6 % | 29.3 | 2014 - 2016 |
| GRUPO BIOMYRE SC | 9 | 5,805 MXN | 42.2 % | 97.9 | 2012 - 2017 |
| DISTRIBUIDORA LAB-HOS, S.A. DE C.V. | 8 | 2,225.3 MXN | 23.5 % | 44.7 | 2012 - 2016 |
| AVISA MEDICAL, S.A. DE C.V. | 7 | 1,614.4 MXN | 10.5 % | 17.9 | 2016 - 2018 |
| FUENTES AGUIRRE CESAR ALFONSO | 6 | 448.7 MXN | 8.06 % | 7.15 | 2015 - 2017 |
| BIO LEBEN, S.A. DE C.V. | 4 | 474.5 MXN | 29.5 % | 10.5 | 2012 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 4 | 1,854.4 MXN | 69.4 % | 41.9 | 2012 - 2015 |
| ESCAMILLA ZENTENO AURORA | 4 | 154.6 MXN | 1.45 % | 3.13 | 2013 - 2014 |
| INTERBIOL, S. A. DE C. V. | 3 | 3,518.9 MXN | 82.1 % | 95.2 | 2013 - 2013 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 3 | 198.1 MXN | 5.69 % | 2.16 | 2012 - 2018 |
| SANCHEZ ROSAS CESAR | 3 | 482.9 MXN | 41.8 % | 13.1 | 2013 - 2013 |
| ABALAT, S.A. DE C.V. | 2 | 2,823.9 MXN | 297.8 % | 57.7 | 2012 - 2014 |
| CLINIBAC, S DE R.L. DE C.V. | 2 | 531.7 MXN | 464.5 % | 10.8 | 2014 - 2014 |
| GRUPO EMEQUR, S.A. DE C.V. | 2 | 2,608 MXN | 1,410.6 % | 32.7 | 2016 - 2016 |
| MIGUEL ENRIQUE MARTINEZ BOLA?OS | 2 | 922.6 MXN | 34.2 % | 10 | 2017 - 2018 |
| ODICALP, S.A. DE C.V. | 2 | 3,104.8 MXN | 207.2 % | 49.7 | 2015 - 2017 |
| PIZAYA MOLINA JAIME ARTURO | 2 | - MXN | - | - | 2014 - 2015 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 2 | 2,325.2 MXN | 2,097.9 % | 62.9 | 2013 - 2013 |
| TOY TAVARES WILLIAMS | 2 | 125.8 MXN | 5.72 % | 1.37 | 2017 - 2018 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 373.1 MXN | 39 % | 4.68 | 2016 - 2016 |
| ATR INSTRUMENTOS, S.A. DE C.V. | 1 | 114.1 MXN | 3.78 % | 1.13 | 2017 - 2017 |
| CASTRO ORRANTIA HUGO | 1 | 1,027.9 MXN | 1,199.2 % | 27.8 | 2013 - 2013 |
| COMERCIALIZADORA MYL PRODUCTOS, S.A. DE C.V. | 1 | 273.8 MXN | 18.5 % | 5.55 | 2014 - 2014 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| DIMARLAB SA DE CV | 1 | 3,912.2 MXN | 2,454.6 % | 49.1 | 2016 - 2016 |
| DISTRIBUIDORA PROHLAB SA DE CV | 1 | 133.3 MXN | 31.5 % | 2.52 | 2015 - 2015 |
| EQUIPOS BIOQUIMICOS DE SAN LUIS, S. DE R.L. DE C.V | 1 | 721.6 MXN | 14.9 % | 14.6 | 2014 - 2014 |
| FERNANDEZ DIAZ CARLOS PABLO | 1 | 811.3 MXN | 1,532.6 % | 15.3 | 2015 - 2015 |
| HEMOSER, S.A. DE C.V. | 1 | 404.2 MXN | 36.8 % | 4.41 | 2018 - 2018 |
| INDUSTRIAS ERDULIFE, S. A. DE C. V. | 1 | 5,754.4 MXN | 34 % | 57.2 | 2017 - 2017 |
| INFARIND, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| LABORATORIOS LAFON, S. A. DE C. V. | 1 | 35.5 MXN | 9.57 % | 0.67 | 2015 - 2015 |
| MARIA DEL ROSARIO JAUREGUI RAMIREZ | 1 | 1,009.4 MXN | 2,355.4 % | 27.3 | 2013 - 2013 |
| MARTHA ANDREA BARRERA MCDONALD | 1 | 1,421.4 MXN | 72.6 % | 26.9 | 2015 - 2015 |
| PRESEFA, S. A. DE C. V. | 1 | 1,168.6 MXN | 20.1 % | 14.7 | 2016 - 2016 |
| Proveedor local no identificado (Compra Emergente) | 1 | 284.7 MXN | 102.7 % | 3.57 | 2016 - 2016 |
| SISTEMAS MEDICOS MENOVUM, S.A. DE C.V. | 1 | 53.8 MXN | 101.6 % | 1.02 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
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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=080.835.0573.11")
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=080.835.0573.11')
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=080.835.0573.11')