Healthcare
28 columns
100 rows
8 formats

Infectious Disease Surveillance Registry

This dataset provides a comprehensive registry of reportable infectious disease cases, capturing patient demographics, disease details, pathogen identification, antibiotic resistance, outbreak events, contact tracing, and public health reporting. It enables robust epidemiological analysis, outbreak management, and supports public health decision-making at local, regional, and national levels.

last updated 2 Nov 2025
by GoMask

The brief that made it

Epidemiological analysis and disease trend monitoring

Sample rows

preview · 8 of 100 rows · all 28 columns

case_idstring	outbreak_statusstring	number_of_contacts_identifiedinteger	public_health_reportedboolean	antibiotic_resistancestring	patient_idstring	patient_ageinteger	patient_genderstring	patient_street_addressstring	patient_citystring	patient_statestring	patient_postal_codestring	patient_countrystring	disease_namestring	disease_codestring	organism_identifiedstring	date_of_onsetdate	date_of_diagnosisdate	reporting_facility_idstring	reporting_facility_namestring	reporting_facility_citystring	reporting_facility_statestring	reporting_facility_countrystring	outbreak_idstring	contact_tracing_statusstring	date_reported_to_public_healthdate	case_statusstring	notesstring
CASE0001	not_applicable	0	true	blank	PAT001	34	female	1420 Oakwood Ave	Chicago	IL	60616	USA	Influenza	J10	Influenza A virus	2024-02-05	2024-02-07	FAC1001	Midwest Medical Center	Chicago	IL	USA	blank	not_required	2024-02-08	resolved	Patient responded well to antiviral therapy
CASE0002	confirmed	7	true	blank	PAT002	5	male	22 Spruce Lane	Denver	CO	80203	USA	Measles	B05	Measles virus	2024-01-10	2024-01-13	FAC1002	Children's Hospital Denver	Denver	CO	USA	OUT001	initiated	2024-01-13	active	Vaccination history incomplete
CASE0003	suspected	3	true	ESBL	PAT003	67	male	876 Willow Dr	Seattle	WA	98101	USA	Legionellosis	A48.1	Legionella pneumophila	2024-03-11	2024-03-13	FAC1003	Seattle General Hospital	Seattle	WA	USA	OUT002	ongoing	2024-03-14	active	Environmental investigation ongoing
CASE0004	contained	12	true	MDR-TB	PAT004	52	female	304 Pine St	Boston	MA	02116	USA	Tuberculosis	A15	Mycobacterium tuberculosis	2023-12-29	2024-01-04	FAC1004	Boston Medical Center	Boston	MA	USA	OUT003	completed	2024-01-05	active	Directly observed therapy initiated
CASE0005	ongoing	4	true	blank	PAT005	23	female	55 Elm St	San Diego	CA	92102	USA	Salmonellosis	A02	Salmonella enterica	2024-04-10	2024-04-12	FAC1005	San Diego Health	San Diego	CA	USA	OUT004	initiated	2024-04-13	active	Suspected foodborne source
CASE0006	confirmed	9	true	blank	PAT006	41	male	102 Maple Rd	Miami	FL	33101	USA	COVID-19	U07.1	SARS-CoV-2	2023-11-07	2023-11-09	FAC1006	Miami Infectious Disease Clinic	Miami	FL	USA	OUT005	completed	2023-11-09	resolved	Patient isolated at home
CASE0007	not_applicable	2	false	blank	PAT007	58	male	900 Birch Lane	Houston	TX	77002	USA	Hepatitis A	B15	Hepatitis A virus	2024-03-20	2024-03-23	FAC1007	Houston General Hospital	Houston	TX	USA	blank	initiated	blank	active	Symptoms mild; monitoring at home
CASE0008	suspected	5	true	blank	PAT008	16	female	78 Cedar St	Minneapolis	MN	55401	USA	Pertussis	A37	Bordetella pertussis	2024-02-14	2024-02-17	FAC1008	Minneapolis Children's	Minneapolis	MN	USA	OUT006	initiated	2024-02-18	active	Household contacts vaccinated
CASE0009	not_applicable	0	false	MRSA	PAT009	72	female	410 Poplar Ave	New York	NY	10032	USA	Pneumococcal disease	J13	Streptococcus pneumoniae	2023-12-03	2023-12-05	FAC1009	NYC Health Hospital	New York	NY	USA	blank	not_required	blank	active	History of chronic lung disease
CASE0010	confirmed	6	true	blank	PAT010	29	female	11 Magnolia Rd	Sacramento	CA	95814	USA	Norovirus infection	A08.1	Norovirus	2024-04-02	2024-04-04	FAC1010	Sacramento Medical Center	Sacramento	CA	USA	OUT007	completed	2024-04-05	resolved	Linked to restaurant outbreak
CASE0011	ongoing	14	true	ESBL	PAT011	47	female	200 Redwood Ave	San Jose	CA	95110	USA	Shigellosis	A03	Shigella sonnei	2024-03-18	2024-03-21	FAC1011	San Jose Regional Hospital	San Jose	CA	USA	OUT008	ongoing	2024-03-21	active	Travel-related cluster
CASE0012	not_applicable	0	true	blank	PAT012	80	male	155 Spruce Blvd	Detroit	MI	48226	USA	Listeriosis	A32	Listeria monocytogenes	2024-02-21	2024-02-24	FAC1012	Detroit Mercy Hospital	Detroit	MI	USA	blank	not_required	2024-02-25	resolved	No known immunocompromise
CASE0013	confirmed	10	true	blank	PAT013	38	other	45 Aspen Way	Austin	TX	78701	USA	Mumps	B26	Mumps virus	2024-03-11	2024-03-14	FAC1013	Austin Health Center	Austin	TX	USA	OUT009	initiated	2024-03-15	active	University outbreak
CASE0014	not_applicable	0	true	blank	PAT014	62	female	300 Sycamore St	Cleveland	OH	44114	USA	Dengue	A90	Dengue virus	2024-05-01	2024-05-04	FAC1014	Cleveland Clinic	Cleveland	OH	USA	blank	not_required	2024-05-05	active	Recent travel to Brazil
CASE0015	not_applicable	0	false	blank	PAT015	48	male	125 Willow Ave	Phoenix	AZ	85003	USA	Chikungunya	A92.0	Chikungunya virus	2023-10-15	2023-10-18	FAC1015	Phoenix Infectious Disease	Phoenix	AZ	USA	blank	not_required	blank	active	Symptoms moderate
CASE0016	not_applicable	3	true	blank	PAT016	21	female	330 Palm Blvd	Orlando	FL	32801	USA	COVID-19	U07.1	SARS-CoV-2	2024-01-12	2024-01-13	FAC1016	Orlando Urgent Care	Orlando	FL	USA	blank	completed	2024-01-14	resolved	Mild symptoms
CASE0017	confirmed	8	true	blank	PAT017	8	male	12 Cherry St	Baltimore	MD	21201	USA	Chickenpox	B01	Varicella zoster virus	2024-03-01	2024-03-03	FAC1017	Baltimore Children's Hospital	Baltimore	MD	USA	OUT010	initiated	2024-03-04	active	School outbreak
CASE0018	ongoing	2	true	blank	PAT018	36	female	87 Oak Loop	Portland	OR	97201	USA	Salmonellosis	A02	Salmonella enterica	2024-04-15	2024-04-17	FAC1018	Portland Health Center	Portland	OR	USA	OUT011	initiated	2024-04-18	active	Linked to local event
CASE0019	not_applicable	1	false	blank	PAT019	30	male	99 Maple Ct	Dallas	TX	75201	USA	Hepatitis B	B16	Hepatitis B virus	2024-02-01	2024-02-03	FAC1019	Dallas Regional Medical	Dallas	TX	USA	blank	initiated	blank	active	Household member positive
CASE0020	suspected	4	true	blank	PAT020	54	female	67 Walnut St	Pittsburgh	PA	15222	USA	Legionellosis	A48.1	Legionella pneumophila	2024-03-10	2024-03-12	FAC1020	Pittsburgh Infectious Disease	Pittsburgh	PA	USA	OUT012	ongoing	2024-03-13	active	Hospital water system tested

What the 100 rows show

from the 100-row sample

Not_applicable (outbreak status) stands out: mean number_of_contacts_identified is 0.40, against 8.2 for the rest.

91%public_health_reported = true
2.5median number_of_contacts_identified
2case statuses
4patient genders
4contact tracing statuses
39median patient_age

Mean number_of_contacts_identified by outbreak_status100 rows

number_of_contacts_identified100 rows, in bands of 2.5

Median 2.5, from 0 to 22.

antibiotic_resistance20 rows with a value · 80 left blank

ESBL7
MDR-TB4
MRSA3
Penicillin-resistant2
Ciprofloxacin-resistant1
Metronidazole-resistant1
MDR-Typhi1
Ceftriaxone-resistant1

28 columns by typefrom the column list below

string 22
integer 2
date 3
boolean 1

Columns

28 columns in four groups

blueprint · 28 columns
column	type	description	example
Text 22 columns
`case_id`	string	Unique identifier for the infectious disease case reportunique	CASE0001
`patient_id`	string	Unique identifier for the patient involved in the case	PAT001
`patient_gender`	string	Gender of the patientmale · female · other · unknown	female
`patient_street_address`	string	Street address of the patientoptional	1420 Oakwood Ave
`patient_city`	string	City of residence of the patientoptional	Chicago
`patient_state`	string	State or province of residence of the patientoptional	IL
`patient_postal_code`	string	Postal code of the patient's addressoptional	60616
`patient_country`	string	Country of residence of the patientoptional	USA
`disease_name`	string	Name of the infectious disease diagnosed	Influenza
`disease_code`	string	Standardized code for the disease (e.g., ICD-10)optional	J10
`organism_identified`	string	Name of the pathogen or organism identifiedoptional	Influenza A virus
`antibiotic_resistance`	string	Description of any antibiotic resistance detected (e.g., MRSA, ESBL)8 resistances · optional	ESBL
`reporting_facility_id`	string	Unique identifier for the reporting healthcare facility	FAC1001
`reporting_facility_name`	string	Name of the reporting healthcare facilityoptional	Midwest Medical Center
`reporting_facility_city`	string	City of the reporting healthcare facilityoptional	Chicago
`reporting_facility_state`	string	State or province of the reporting healthcare facilityoptional	IL
`reporting_facility_country`	string	Country of the reporting healthcare facilityoptional	USA
`outbreak_id`	string	Identifier for the outbreak event, if applicableoptional	OUT001
`outbreak_status`	string	Status of the outbreak (e.g., confirmed, suspected, contained, ongoing)confirmed · suspected · contained · ongoing · not_applicable · optional	not_applicable
`contact_tracing_status`	string	Status of contact tracing for this caseinitiated · completed · not_required · ongoing · optional	not_required
`case_status`	string	Current status of the case (e.g., active, resolved, deceased)active · resolved · deceased · unknown	resolved
`notes`	string	Additional notes or comments related to the caseoptional	Patient isolated at home
Numbers 2 columns
`patient_age`	integer	Age of the patient at the time of diagnosis0 to 120	34
`number_of_contacts_identified`	integer	Number of contacts identified for tracing0 or more · optional	0
Dates and times 3 columns
`date_of_onset`	date	Date when symptoms began	2024-02-05
`date_of_diagnosis`	date	Date when the disease was diagnosed	2024-02-07
`date_reported_to_public_health`	date	Date the case was reported to public health authoritiesoptional	2024-02-08
True or false 1 column
`public_health_reported`	boolean	Indicates if the case has been reported to public health authorities	true

Use it for

A healthcare dashboard
The public_health_reported rate, number_of_contacts_identified by outbreak_status and a breakdown of antibiotic_resistance. Excel, Power BI or Tableau.
Why do the 52 not_applicable rows have a mean number_of_contacts_identified of 0.40?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Cases100
CASE00010not_appl…
CASE00027confirmed
CASE00072not_appl…
A software demo
Believable cases with patient_id, patient_age and patient_gender to fill a screen in front of a buyer.

This dataset100 rows28 columns

Yours1,000 rows28 columnspatient_street_address: UK only

blueprint · infectious-disease-surveillance-registry

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 28 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Case ID unique per disease report
Notifiable disease: COVID-19, influenza, TB, HIV, STIs, foodborne, etc.
Diagnosis date and report date
Laboratory confirmation vs clinical diagnosis
Organism or pathogen identified
Antibiotic susceptibility and resistance patterns
MDRO (Multi-Drug Resistant Organism) flagging
Outbreak association: sporadic vs outbreak-related

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: infectious-disease-surveillance-registry

What should your data show?

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Sample rows

What the 100 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

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