59 extractive question-and-answer pairs built from a, published by ncdc.mohfw.gov.in. The source is a 18-page publication. Source-evidenced topics include national antimicrobial resistance surveillance network, amr surveillance, global amr surveillance system, glass, whonet, staphylococcus aureus, enterococcus species, escherichia coli. Every answer is a verbatim span of text the source prints, and each row carries the passage it sits in, its offset in that passage, the source quote, the page and the location in the document, so any row can be checked against the original. Question types in the export: 26 factual, 20 table, 3 list, 3 relationship, 3 summary, 2 comparison, 2 definition. 13 of the 59 pairs (22.0%) ask explanatory questions; the remaining 46 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains 59 extractive question-and-answer pairs derived from a publication by the National Centre for Disease Control (NCDC) in India, focusing on antimicrobial resistance (AMR) surveillance. It includes information on pathogens, resistance rates, and surveillance methods. The data highlights the use of WHONET software for managing AMR data, the role of NCDC in the Global AMR Surveillance System (GLASS), and resistance trends for various pathogens. The dataset is based on a complete review of the source document, ensuring high corpus quality.
Browse more economy datasets, including other records from the same source when available.
Explore Economy datasets5 - Question and Answer Dataset
Economy · 159 rows
LRF Outlook for Second Half of SW Monsoon Season: 2010 - Question and Answer Dataset
Economy · 30 rows
air2 - Question and Answer Dataset
Health · 169 rows
Microsoft Word - Brief note on NCDC Cooler.doc - pdfMachine from Broadgun Software, http://pdfmachine.com, a great PDF writer utility! - Question and Answer Dataset
Health · 12 rows
Annual Report 2015-16 by agriwelfare.gov.in - Question and Answer Dataset
Economy · 1K+ rows
Higher Education in India - Question and Answer Dataset
Economy · 1.5K+ rows
Gender Policy of NABARD - Question and Answer Dataset
Economy · 14 rows
ICAR Annual Report 2025-26 - Question and Answer Dataset
Economy · 1.1K+ rows
Use the API URL with your free DD token in notebooks, scripts, and pipelines.
https://www.desidata.in/api/datasets/ncdc-mohfw-gov-in-628b56374ec9a00182e14452b382bbba/downloadDataset downloads are free. For Python or API downloads, sign in once and create a free DD token; set it as DD_TOKEN or save it in your notebook's secrets. Requests are linked to your account so your download history and counts stay accurate.
# One-time install: pip install desidata
# Set DD_TOKEN in your environment first (create a free token in Profile & settings).
import desidata
df = desidata.load("ncdc-mohfw-gov-in-628b56374ec9a00182e14452b382bbba")
df.head()First 10 of 59 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What software is used by NCDC for managing laboratory-based AMR surveillance data? | WHONET, a microbiology data management software | A standardized approach has been undertaken by NCDC for collection, analysis, and reporting of laboratory-based AMR surveillance data using WHONET, a microbiology data management software. Standard operating procedures (SOPs) and guidance documents have been developed for sentinel surveillance sites for AMR surveillance and the sites are trained to use them. Various measures are undertaken on a regular basis to improve the quality of culture, identification of pathogens and antimicrobial susceptibility testing (AST) with strict quality control. The officers and staff at the AMR surveillance network sites are provided regular hands on training and onsite support for streamlining AMR data management. Regular feedback is also provided to network sites to improve data quality. | 140 | definition | 1.000 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | A standardized approach has been undertaken by NCDC for collection, analysis, and reporting of laboratory-based AMR surveillance data using WHONET, a microbiology data management software. | 2 | page=2,block=3 | 0.700 | valid |
| What is the role of NCDC in the Global AMR Surveillance System? | NCDC being the national coordinating center for Global AMR Surveillance System (GLASS), has also been submitting the annual data to GLASS since 2017. | National Centre for Disease Control (NCDC) is coordinating the “National Programme on Antimicrobial Resistance Containment” initiated during the 12th five year plan. Under the programme a network of state medical college laboratories across the country are being strengthened in a phased manner for generating quality Antimicrobial Resistance (AMR) surveillance data in order to understand the AMR trends in various geographical regions through a sentinel surveillance platform. Currently under this network AMR surveillance for seven high priority pathogens and identified emerging AMR alerts are to be reported to the national AMR surveillance coordinating center at NCDC. NCDC being the national coordinating center for Global AMR Surveillance System (GLASS), has also been submitting the annual data to GLASS since 2017. | 675 | relationship | 0.970 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | Currently under this network AMR surveillance for seven high priority pathogens and identified emerging AMR alerts are to be reported to the national AMR surveillance coordinating center at NCDC. NCDC being the national coordinating center for Global AMR Surveillance System (GLASS), has also been submitting the annual data to GLASS since 2017. | ||||
| What type of feedback is provided to AMR surveillance network sites? | Regular feedback is also provided to network sites to improve data quality. | A standardized approach has been undertaken by NCDC for collection, analysis, and reporting of laboratory-based AMR surveillance data using WHONET, a microbiology data management software. Standard operating procedures (SOPs) and guidance documents have been developed for sentinel surveillance sites for AMR surveillance and the sites are trained to use them. Various measures are undertaken on a regular basis to improve the quality of culture, identification of pathogens and antimicrobial susceptibility testing (AST) with strict quality control. The officers and staff at the AMR surveillance network sites are provided regular hands on training and onsite support for streamlining AMR data management. Regular feedback is also provided to network sites to improve data quality. | 708 | relationship | 0.970 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | The officers and staff at the AMR surveillance network sites are provided regular hands on training and onsite support for streamlining AMR data management. Regular feedback is also provided to network sites to improve data quality. | 2 | |||
| What was the purpose of validating and analyzing AMR data at NCDC in 2018? | for preparation of the AMR annual report for 2018. | As on 31st March 2019, the National AMR surveillance network includes 20 medical college laboratories located in 18 states (Figure 1 & Annexure-I). In the year 2018 (01 January 2018 to 31 December 2018), laboratories from 16 sentinel sites located in 14 states reported 50,724 priority pathogen isolates from unique patients and their antimicrobial sensitivity data. The data was validated and analyzed at NCDC for preparation of the AMR annual report for 2018. | 411 | relationship | 0.970 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | The data was validated and analyzed at NCDC for preparation of the AMR annual report for 2018. | 2 | page=2,block=3 | 0.700 | valid |
| What is the purpose of strengthening state medical college laboratories under the National Programme on Antimicrobial Resistance Containment? | generating quality Antimicrobial Resistance (AMR) surveillance data | National Centre for Disease Control (NCDC) is coordinating the “National Programme on Antimicrobial Resistance Containment” initiated during the 12th five year plan. Under the programme a network of state medical college laboratories across the country are being strengthened in a phased manner for generating quality Antimicrobial Resistance (AMR) surveillance data in order to understand the AMR trends in various geographical regions through a sentinel surveillance platform. Currently under this network AMR surveillance for seven high priority pathogens and identified emerging AMR alerts are to be reported to the national AMR surveillance coordinating center at NCDC. NCDC being the national coordinating center for Global AMR Surveillance System (GLASS), has also been submitting the annual data to GLASS since 2017. | 299 | summary | 0.970 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | Under the programme a network of state medical college laboratories across the country are being strengthened in a phased manner for generating quality Antimicrobial Resistance (AMR) surveillance data in order to understand the AMR trends in various geographical regions through a sentinel surveillance platform. | ||||
| Which marker is used as a surrogate for mecA-mediated oxacillin resistance in Staph. aureus? | cefoxitin | Whereas among the in-patients E. coli was the commonly isolated pathogen (35%), followed by Staph. aureus (24%), Klebsiella species (16.5%), Enterococcus species (10%), Acinetobacter species (8%), and Pseudomonas species (6%) (Table 3). Antibiotic resistance profile for the year 2018 The resistance profile of priority pathogens for selected antibiotics as per NCDC AMR Surveillance SOP has been tabulated in Tables 4-9 and summarized below: Staphylococcus aureus and Enterococcus species Staph. aureus isolates from blood showed 69% resistance to cefoxitin (surrogate marker for mecA- mediated oxacillin resistance) which was found to be higher than that reported in 2017 (57%). Overall resistance to cefoxitin, including isolates from other sterile body fluids and pus aspirates, was found to be 63% (Table 4). | 549 | definition | 0.940 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | aureus isolates from blood showed 69% resistance to cefoxitin (surrogate marker for mecA- mediated oxacillin resistance) which was found to be higher than that reported in 2017 (57%). | 6 | page=6,block=3 | ||
| How did the resistance rate of Salmonella Typhi to azithromycin change compared to the previous year? | almost doubled (8%) than from previous year (4.5%) | Salmonella enterica serotypes Typhi and Paratyphi Noticeably, isolates of Salmonella enterica serotype Typhi and Paratyphi obtained from blood showed 35% resistance to ciprofloxacin which has increased from previous year resistance rate (27%). Surprisingly, resistance to azithromycin in Salmonella Typhi isolates has almost doubled (8%) than from previous year (4.5%) (Table 10). However the number of Salmonella Typhi isolates tested for Azithromycin were much lower last year. | 318 | comparison | 0.920 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | Surprisingly, resistance to azithromycin in Salmonella Typhi isolates has almost doubled (8%) than from previous year (4.5%) (Table 10). | 17 | page=17,block=3 | 0.700 | valid |
| Which pathogen was the most common isolate from blood culture in 2018? | S. aureus (38%) | Of the 50,724 priority pathogen isolates submitted, the commonest is E.coli (36%) followed by S. aureus (22%), Klebsiella species (17%), Enterococcus species (10%), Acinetobacter species (8%) and Pseudomonas species (6%) (Table 2). From blood culture, S. aureus (38%) is the most common isolate followed by Acinetobacter species (19%) and Klebsiella species (18%) (Table 2). | 252 | summary | 0.890 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | From blood culture, S. aureus (38%) is the most common isolate followed by Acinetobacter species (19%) and Klebsiella species (18%) (Table 2). | 5 | page=5,block=3 | 0.700 | valid |
| Which antibiotic was found to be more active against Pseudomonas species among anti-pseudomonal agents? | piperacillin/tazobactam | Pseudomonas and Acinetobacter species Pseudomonas species showed lowest resistance to piperacillin-tazobactam (27%) followed by imipenem (36%), aminoglycosides (amikacin: 43%; tobramycin: 45%), ciprofloxacin (43%) and ceftazidime (51%) (Tables 8). Acinetobacter species showed high resistance to imipenem (66%) and aminoglycosides (amikacin: 66%; gentamicin: 54%) (Table 9). Among the anti-pseudomonal agents, piperacillin/tazobactam was found to be more active than imipenem. Not surprisingly, the isolates of both the species from ICU showed higher resistance as compared to isolates from non-ICU settings (Figure 11 and 12). Isolates of Acinetobacter species showed >50% resistance to almost all the antibiotics tested except for minocycline (29%) (Table 9). | 410 | comparison | 0.840 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | Among the anti-pseudomonal agents, piperacillin/tazobactam was found to be more active than imipenem. | 14 | page=14,block=4 | 0.700 | valid |
| What type of training is provided to officers and staff at AMR surveillance network sites? | regular hands on training and onsite support | A standardized approach has been undertaken by NCDC for collection, analysis, and reporting of laboratory-based AMR surveillance data using WHONET, a microbiology data management software. Standard operating procedures (SOPs) and guidance documents have been developed for sentinel surveillance sites for AMR surveillance and the sites are trained to use them. Various measures are undertaken on a regular basis to improve the quality of culture, identification of pathogens and antimicrobial susceptibility testing (AST) with strict quality control. The officers and staff at the AMR surveillance network sites are provided regular hands on training and onsite support for streamlining AMR data management. Regular feedback is also provided to network sites to improve data quality. | 625 | list | 0.820 | https://ncdc.mohfw.gov.in/uploads/pdf/amr38.pdf | The officers and staff at the AMR surveillance network sites are provided regular hands on training and onsite support for streamlining AMR data management. | 2 | page=2,block=3 | 0.700 |
Read straight from the file — download or use the API URL for the full dataset.
| 2 |
| page=2,block=3 |
| 0.700 |
| valid |
| page=2,block=3 |
| 0.700 |
| valid |
| 2 |
| page=2,block=3 |
| 0.700 |
| valid |
| 0.700 |
| valid |
| valid |