This COVID-19 ontology is a data model for publishing COVID-19 data on the Web as a Graph. The primary focuses of the model are: (1) COVID-19 cases: the data for COVID-19 cases (e.g., active, recovered, deceased, migrated) ondaily basis across the geo-location (district, state and country), available resources and requirements; (2) COVID-19 patient data: nationality, symptom, suspected level of covid -19 cases, covid-19 treatment facility, covid-19 clinical facility, patient's travel history, inter-personal relationships between patients, suspected transmission reason, tracking of patient test results, etc. 2020-04-27T10:00:00 Biswanath Dutta (Indian Statistical Institute, India) Michael DeBellis (Semantic Web Consultant, USA) https://creativecommons.org/licenses/by/4.0/ Indian Statistical Institute An Ontology for Representation and Publication of COVID-19 Cases and Patient Information http://www.isibang.ac.in/ns/codo Some example competency questions: How many people recovered from COVId-19 in place p until date t? How many people died in country c? Give me the travel history of patient p? Give me the COVID-19 patients and their relationship, if any. Give me the COVID-19 patients who are in family relationships. Give me the primary reasons for the maximum number of COVID-19 patients. Give me the most prevalent symtopms of Severe COVID-19. Used to mark any entity (only data properties now) that is meant for processing data but is not part of the deployed model The patient admitted to the covid-19 dedicated facilities, like home, hotel, hospital, etc. admitted in The medical clinic where testing/ diagnosis for disease is available. clinical facility Two persons in co-worker relation. co-worker comorbidity Indicates a place has a place part. contained in A place is part of another place. contains In case the patient contracted the virus from is known, this property mentions the case number of the "parent" [source: https://www.isibang.ac.in/~athreya/incovid19/data.html] contracted virus from A property to connect to the country wise metrics related to the casualities of the disease. country wise statistics The medical clinic where testing/ diagnosis for the COVID-19 Coronavirus disease is available. covid-19 clinical facility The Place (typically a City but could be a building, state, etc.) where a Person currently lives currentResident A property to connect to the district wise metrics related to the casualities of the disease. district wise statistics The sister of your father or mother; the wife of your uncle. hasAunt A male with the same parents as someone else. hasBrother has city has country The diagnosis details of a patient. has diagnosis has district A person is a domestic help to anothe person. domestic help hasHusband The location of for example where a person is situated, an organization (covid-19 dedicated facilities, medical clinics) is located, or the geographic coverage of a disease. location hasMember hasNeighbor A son of your brother or sister. hasNephew A daughter of your brother or sister. hasNiece province A generic property to store the relationships between persons. has relationships An associate who shares a room with you. roommate A female person who has the same parents as another person. hasSister Two persons in married relationship. spouse A generic property to connect to the metrics related to the casualities of the disease. has statistics Any sensation or change in bodily function that is experienced by a patient and is associated with a particular disease. has symptom A patient has clinical test result. has test result The brother of your father or mother; the husband of your aunt. hasUncle has union territory hasWife is covid-19 statistics of is diagnosis of isMemberOf is test result for A male relative. kinsman A female relative. kinswomen Patient's covid-19 clinical test result. laboratory test finding The most recent covid-19 clinical test result. most recent test result The next clinical test result of a patient. next test result The Place (typically a City but could be a building, State, etc.) that a Person has as their permanent home. The previous clinical test result of a patient. previous test result A security guard of a person. security guard A property to connect to the state (province) wise metrics related to the casualities of the disease. state wise statistics The suspected reasons of catching covid-19 disease, for example, travel, attending a marriage anniversary, while treating a patient, infected famility member. suspected reasons of catching covid-19 A generic property to store the travel history of a patient. Also used to record the Place that a Patient traveledFrom on ExposureToCovid19 individuals. travel history A suspected covid-19 patient travelled from a place, e.g., country/ state/ district. travelled from A suspected covid-19 patient travelled to a place, e.g., country/ state/ district. travelled to Gender of a person. has gender Nationality of the person. nationality Blood Pressure (Distolic) Blood Pressure (Systolic) The peripheral capillary oxygen saturation, an estimate (in %) of the amount of oxygen in the blood. peripheral capillary oxygen saturation(SpO2) An acronym. acronym Number of active covid cases. active A patient admitted on a particular day and time. admitted on date of admission An age of a person. age Tthe extent of a 2-dimensional surface enclosed within a boundary (in sq. km.). area no. of bed shortage. no. of bed shortage no. of beds needed. no. of beds needed Number of covid cases. cases The country code. Example, "IND" for India. country code covid-19 cases on a day covid-19 case on Total no,. of active cases in Date 2 - total no. of active cases in Date 1 daily increased cases A particular day specified as the time something happens. date number of deceased covid-19 patients. deceased The diagnosis took place on a day. diagnosed on tested positive on The patient ID assigned at the district level (usually a first level of administrative division within a state/ province). district wise patient ID Removed data type xsd:string from range for now. Because I copied the values over from the labels using SPARQL the annotations for the language (" A utility string to be used together with a Full Text Index in Allegro to facilitate processing reasonStrings with names of Places geoName This indiicates the the secondary infections caused, if any. The values are either "yes", "no" and indicate if the patient has caused any [known] secondary infections [source: https://www.isibang.ac.in/~athreya/incovid19/data.html]. has caused any secondary infections case id The rate at which the heart beats; usually measured to obtain a quick evaluation of a person's health. Heart rate height no. of icu bed shortage. no. of icu bed shortage no. of invasive ventilators needed. no. of icu beds needed no. of invasive ventilators needed. no. of invasive ventilators needed A generic property to provide the result related to the covid-19 disease casualties and resources. metrics Number of people migrated after recovery from the covid. number of people migrated For humans, population density is the number of people per unit of area, usually quoted per square kilometre or square mile, and which may include or exclude for example areas of water or glaciers. population density Number of people recovered from covid. recovered The patient released on a day from a covid dedicated facility. date of discharge out date released on Available/ required resource for covid treatment. resource Is the number of breaths a person take per minute. respiratory rate The data source based on which the statistics produced. State (province) code. Example, "KL" of Kerala. state code The patient ID assigned at the state/province level. state wise patient ID The body temperature. temperature The test result date. test result on The weight. weight A name for some thing. name Physical address of the item. address The locality in which the street address is, and which is in the region. For example, BHEL Layout. address locality The latitude of a location. For example 37.42242 latitude The longitude of a location. For example -122.08585. longitude The postal code. For example, 560060 postal code The street address. For example, 1st Main, Muthurainagara. street address A symptom is a perceived change in function, sensation, loss, disturbance or appearance reported by a patient indicative of a disease. Source: https://www.mohfw.gov.in/pdf/FinalGuidanceonMangaementofCovidcasesversion2.pdf https://www.who.int/news-room/q-a-detail/q-a-coronaviruses Symptom A Medical clinic where testing for the COVID-19 Coronavirus disease is available. Covid testing facility A facility, often associated with a hospital or medical school, that is devoted to the specific diagnosis and/or healthcare. Medical clinic Clinical finding (finding) Anniversary Business Any facility for providing care to COVID-19 patients. source: https://www.mohfw.gov.in/pdf/FinalGuidanceonMangaementofCovidcasesversion2.pdf COVID-19 dedicated facility The diagnosis as COVID-19 patient. The diagnosied COVID-19 patients are categorised to three different categories/cases based on various clinical test and vital signs. COVID-19 Diagnosis A city. Towns with population of 1,00,000 and above are called cities. A ward is a containedIn a city. Calling it CityWard to avoid confusion with a hospital ward. Close contact, a suspected cause for catching COVID-19. Close contact A Cluster is a group of patients with the same disease who are grouped by one or more properties that are considered critical to an analysis of how the disease has spread. indicate a medical condition existing simultaneously but independently with another condition in a patient (source: Wikipedia) Comorbidity A cluster defined by contact with certain individuals. Note that to some extent all clusters are contact clusters so this class is used only for those clusters that specifically mention contact with individuals (or lack of knowledge about such contact) rather than geographic, time, or disease data. Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). (source: https://www.who.int/news-room/q-a-detail/q-a-coronaviruses) SCTID: 186747009 Coronavirus infection Country wise statistics Any facility, such as hotels/lodges/hostels/stadiums for providing care to COVID-19 patients are reffered as Covid Care Centre (CCC). Covid Care Centre (CCC) The Dedicated COVID Health Centre are hospitals that shall offer care for all cases that have been clinically assigned as moderate. Dedicated Covid Health Centre (DCHC) The Dedicated COVID Hospitals are hospitals that shall offer comprehensive care primarily for those who have been clinically assigned as severe. Dedicated Covid Hospital (DCH) A person diagnosed With COVID-19. Diagnosed With COVID-19 SCTID: 439401001 identifying the nature or cause of some phenomenon. This models the manner in which a diagnosis was discovered. E.g., via a pregnancy test, screening for a suspected disease, tests done before surgery, etc. SCTID: 64572001 an impairment of health or a condition of abnormal functioning. Disease A viral disease caused by coronavirus. SCTID: 27619001 Disease caused by Coronaviridae Patients clustered by diseases that made them susceptible to the virus An adminidtrative area spanning regions or counties, several municipalities, subdivisions of municipalities, school district, or political district. District wise statistics A licensed medical doctor. SCTID: 158965000 Doctor Suspected causes of catching COVID-19. Exposure to COVID-19 Mass gathering, a suspected cause for catching COVID-19. Gathering Patients clustered by the geographic region where they contracted the infection Geographic regions such as the Middle East, North America, etc. For the cluster class GeographicRegion Group HealthCareProfessional InfectedNeighbor InfectedNephew InfectedNiece InfectedViaHealthcareWork InfectedViaJob InfectedViaPoliceWork SCTID: 118246004 The laboratory test finding of the patient. The possible values are Positive, Negative, Pending. Laboratory test finding A man. Cases presenting with fever and/or upper respiratory tract illness (Influenza Like Illness, ILI). Mild and very mild COVID-19 Pneumonia with no signs of severe disease (Respiratory Rate 15 to 30/minute, SpO2 90%-94%). Moderate COVID-19 A health professional skilled in caring for young children or the sick (usually under the supervision of a physician). SCTID: 106292003 Nurse Professional nurse PolicePerson The patient was discovered to have another disease as the result of tests given before surgery. The patient was discovered to have a disease as a result of tests given during pregnancy. Province SecondaryContact SecurityGuard Severe Pneumonia (with respiratory rate ≥30/minute and/or SpO2 < 90% in room air) or ARDS or Septic shock. Severe COVID-19 State wise statistics Statistics based on each day. Statistics of COVID-19 cases which includes the deatils of active, recovered, deaths, and also the resources (e.g., beds required, shortage of beds, ICUs) on daily basis. The current status of the patient, for example: recovered, hospitalized, deceased. Status A test result. Test result A cluster defined by some event (including lack of knowledge) at a certain date. Note that clusters are not disjoint, so a cluster can be an instance of a TimeCluster and other clusters. Places which satisfy the following criteria are called towns: (i) A minimum population of 5,000; (ii) At least 75 per cent of the male main working population engaged in non-agricultural pursuits; and (iii) A density of population of at least 400 persons per sq. km. (i.e. 1000 per sq. Mile). Town The patient was identified as at risk for the disease (e.g., Covid-19) and was tested as part of tracing people identified to be at risk. A union territory ('Federally administered territory/province') is a type of administrative division in the Republic of India. Unlike the states of India, which have their own governments, union territories are federal territories governed directly by the Central Government of India. UnionTerritory false Untested for COVID-19 Untested for COVID-19 false Urgently needs COVID test Urgently needs COVID-19 test SCTID: 34014006 Viral disease The vital signs of a suspected covid-19 patient as found through clinical tests. Vital signs A women. An agent (eg. person, group, software or physical artifact). Agent A group of people who work together. Organization A human being. Person A country. An enumeration of genders. Gender type An infectious disease is a clinically evident human disease resulting from the presence of pathogenic microbial agents, like pathogenic viruses, pathogenic bacteria, fungi, protozoa, multicellular parasites, and prions. To be considered an infectious disease, such pathogens are known to be able to cause this disease. SCTID: 40733004 Infectious disease A patient is any person recipient of health care services. Patients are categorised into three groups based on the following guidelines. Source: https://www.mohfw.gov.in/pdf/FinalGuidanceonMangaementofCovidcasesversion2.pdf SCTID: 116154003 Patient Entities that have a somewhat fixed, physical extension. A state or province of a country. Abu Dhabi 24.466667 54.366667 Abu Dhabi SCTID: 82991003 Generalized aches and pains (finding) Acute Respiratory Distress Syndrome (ARDS) Ahmedabad 23.03 72.58 Ahmedabad Ajmer 26.4499 74.6399 Ajmer Amsterdam 52.366667 4.9 Amsterdam Anantapur Anantapur Andaman and Nicobar Islands A union territory of India comprising 572 islands of which 37 are inhabited, are a group of islands at the juncture of the Bay of Bengal and the Andaman Sea. Andaman and Nicobar Islands Andhra Pradesh Andhra Pradesh Argentina Argentina Assam Assam Athens 37.983972 23.727806 Athens Bagalkote 16.1817 75.6958 Bagalkote Bahrain Bahrain Bangalore 12.983333 77.583333 Bangalore Bangalore-Urban Bangalore-Urban Bangalore Rural Bangalore Rural Bangladesh Bangladesh Baroda 22.3 73.2 Baroda Belagavi 15.85 74.5 Belagavi 15.1 76.916667 Bellary District Bellary District 59 59 Bengaluru Urban Bengaluru Urban Bhatkal 13.967 74.567 Bhatkal Bidar 17.9 77.5 Bidar Bihar Bihar Brazil Brazil Breathlessness COVID-19 A disease caused by severe acute respiratory syndrome coronavirus 2.  Disease caused by 2019 novel coronavirus Disease caused by 2019-nCoV SCTID: 840539006 Cardiovascular Disease (CVD) Carwar Carwar Chamarajanagar 11.926 76.9402 Chamarajanagar Channagiri 14.03 75.93 Channagiri Chattisgadh Chattisgadh Chennai 13.0825 80.275 Chennai Chikkaballapur 13.43 77.72 Chikkaballapur Chikmagalur 13.313 75.737 Chikmagalur Chitradurga 14.23 76.4 Chitradurga Chronic Kidney Disease (CKD) Chronic Kidney Insufficiency (CKI) Chronic Liver Disease (CLD) Chronic Obstructive Pulmonary Disease (COPD) Colombo 6.934444 79.842778 Colombo Containment Zones : The patients who were contacts of Conatinment Zones and their contacts. Some patients have the Ward represented in the Reason column. Cough Dadra And Nagar Haveli And Daman And Diu Dadra and Nagar Haveli and Daman and Diu (DNHDD) is a union territory in western India. Dadra And Nagar Haveli And Daman And Diu Dakshina Kannada District Dakshina Kannada District Daman And Diu Until June 2019, Daman and Diu was an Union Territory of India. But since July 2019 it was merged to another Union Territory of India "Dadra and Nagar Haveli" and togtrehr formed a single union territory "Dadra and Nagar Haveli and Daman and Diu (DNHDD)." Daman And Diu Dammam 26.433333 50.1 Dammam Davangere 14.4666 75.9242 Davangere Davangere District Davangere District Debaspete Debaspete Delhi 28.61 77.23 Delhi Dharwad 15.458333 75.008333 Dharwad Dharwad District Dharwad District Diabetes Mellitus (DM) SCTID: 62315008 Diarrhea Diu 20.71 70.98 Diu Doha 25.286667 51.533333 Doha Domestic Travel History Absent : The patients for whom the information was given as "Travel History-Domestic" SCTID: 11833005 Dry cough Dubai 25.263056 55.297222 Dubai Edinburgh 55.953 -3.189 Edinburgh SCTID: 386661006 Fever France France Gadag 15.4167 75.6167 Gadag Gadag-Betageri 15.4167 75.6167 Gadag-Betageri Germany Germany Goa 15.5 73.83 Goa Greece Greece Gujarat Gujarat From Gujarat : The patients with travel history to Gujarat and their contacts. Gulbarga 17.329 76.825 Gulbarga Guyana officially the Co‑operative Republic of Guyana, is a country on the northern mainland of South America. Guyana SCTTID: 59994004 Hacking cough Haryana Haryana Hassan 13.012 76.068 Hassan Haveri 14.793889 75.403889 Haveri Himachal Pradesh Himachal Pradesh Hindupur 13.83 77.49 Hindupur Hubballi 15.350217 75.137625 Hubballi Hubli 15.350217 75.137625 Hubli, officially known as Hubballi, is a city in the Indian state of Karnataka. Hubli Humnabad 17.77 77.13 a City and municipal council in the Bidar District of the Indian state of Karnataka and city is a headquarters of Humnabad taluk. Humnabad Hyderabad 17.37 78.48 Hyderabad Hypertension (HTN) India India India 14759 14759 18601 3252 590 590 14759 18601 3252 590 3252 Indonesia Indonesia Influenza like illness : The patients showing influenza like symptoms and their contacts. International Travel History Absent : The patients for whom the information was given as "Travel History-International" Iraq Republic of Iraq A country in Western Asia, bordered by Turkey to the north, Iran to the east, Kuwait to the southeast, Saudi Arabia to the south, Jordan to the southwest and Syria to the west. Iraq Republic of Iraq Ireland Ireland Ischemic Heart Disease (IHD) Italy Italy Jalgaon 20.997984 75.566711 Jalgaon Jalgaon District Jalgaon District Jammu 32.73 74.87 Jammu is the winter capital and the largest city in Jammu district of the Indian union territory of Jammu and Kashmir. Jammu Jammu And Kashmir Jammu And Kashmir Jeddah 21.543333 39.172778 Jeddah Jharkhand Jharkhand 2020-06-27T00:00:00 2020-06-27T00:00:00 27-June Trace History Absent : On this day, no trace history information was given for the patients. Patients who were contacts of these individuals are also in this cluster. 2020-06-28T00:00:00 2020-06-28T00:00:00 28-June Trace History Absent : On this day, no trace history information was given for the patients. Patients who were contacts of these individuals are also in this cluster. 2020-06-29T00:00:00 2020-06-29T00:00:00 29-June Trace History Absent : On this day, no trace history information was given for the patients. Patients who were contacts of these individuals are also in this cluster. Kalaburagi 17.329 76.825 Kalaburagi Kalburgi 17.329 76.825 Kalburgi Karnataka Karnataka Karnataka Karwara Karwara Kashmir Kashmir Kerala Kerala Coorg Kodagu Kodagu, also called Coorg, is a district in Karnataka State. Coorg Kodagu Kodagu District Kodagu District Kolhapur 16.691667 74.233333 Kolhapur Kolkata 22.5726 88.3639 Kolkata Koppal Koppala 15.35 76.15 a city in Koppala district in the Indian state of Karnataka. Koppal Koppala Koppala District Koppala District Kuwait Kuwait London 51.507222 -0.1275 London Madhya Pradesh Madhya Pradesh Madikeri 12.4209 75.7397 Madikeri Madrid 40.416667 -3.716667 Madrid Madurai 9.9 78.1 Madurai Madurai District Madurai District Maharashtra Maharashtra From Maharashtra : The patients with travel history to Maharashtra and their contacts. Malaysia Malaysia Mandya 12.52 76.9 Mandya Mangalore 12.78563 74.84108 Mangalore Mangaluru 12.78563 74.84108 Mangaluru Manipur Manipur Mecca 21.4225 39.823333 Mecca Middle East Middle East From Middle East : The patients with travel to the Middle East and their contacts. MiddleEastCluster Mumbai 18.975 72.825833 Mumbai Muscat 23.588889 58.408333 Muscat Mysore Mysore Nagaland Nagaland Nandurbar 21.37 74.25 Nandurbar Nandurbar District Nandurbar District Nanjangud 12.12 76.68 Nanjangud SCTID: 68235000 Nasal congestion Nelamangala 13.102 77.374 Nelamangala Nepal Nepal Netherlands Netherlands New York City 40.71274 -74.005974 New York City New York State New York State Not reported Oman Oman Others : The patients who had interdistrict travel in Karnataka, travel to countries / states, healthcare workers and policemen on COVID-19 duty and their contacts. The numbers for these reasons were too few to form separate clusters. 120 10 2020-04-26T09:00:00 15 2020-04-26T09:00:00 false 90 2020-04-21T10:00:00 35 2020-04-21T10:00:00 2020-04-22T10:00:00 2020-04-22T10:00:00 2020-04-23T11:00:00 2020-04-23T11:00:00 90 2020-04-26T08:00:00 35 2020-04-26T08:00:00 SCTID: 22253000 Pain SCTID: 162397003 Pain in throat Sore throat Palghar Palghar Panvel 18.994444 73.113889 a locality in Raigad district of Maharashtra in India. Panvel Paris 48.856613 2.352222 Paris Pharmaceutical Company In Nanjangud Pharmaceutical Company in Nanjangud : This patients who were workers of a Pharmaceutical Company in Nanjangud, Mysore along with their contacts. Philippines Philippines Pune 18.520278 73.856667 Pune Punjab Punjab Qatar Qatar Raichore Raichur 16.2 77.37 a city municipality in the district of Raichur in the Indian state of Karnataka. Raichore Raichur Rayachuru Raigad Raigadh Raigad District (formerly Kolába district), is a district in the Konkan division of Maharashtra, India. Raigad Raigadh Rajasthan Rajasthan From Rajasthan : The patients with travel history to Rajasthan and their contacts. Ramanagara 12.723 77.286 a city and a city municipal council in the Indian state of Karnataka. Ramanagara Ramanagara District Ramanagara District Ratnagiri 16.994444 73.3 Ratnagiri Ratnagiri District Ratnagiri District Rest Of Europe Rest Of Europe From the rest of Europe : The patients with travel history to Europe but not to UK and their contacts. RestOfEuropeCluster Riyadh 24.633333 46.716667 Riyadh SCTID: 267101005 Nasal discharge presen Nose dripping Nose running Saudi Arabia Saudi Arabia Scotland Scotland Second Generation Contact Absent : The patients whose information was given as "Contact" without giving the patient ID of the individual they were a contact of. SecondGenerationContactCluster Severe Acute Respiratory Infection: This includes patients with a history of Severe Acute Respiratory Infection whose symptoms have resurfaced and their contacts. Shahapur 16.7 76.83 a city and taluka headquarter located in the Yadgir district of Indian state of Karnataka. Shahapur Sharjah 25.3575 55.390833 Sharjah Shikharaji 23.9611 86.1371 Shikharaji Shivamogga 13.933333 75.566667 Shivamogga Singapore 1.283333 103.833333 Singapore SCTID: 76067001 Sneezing Solapur 17.68 75.92 Solapur Republic of South Africa Republic of South Africa South America South America From South America : The patients with travel history to South America and their contacts. SouthAmericaCluster From the Southern States : The patients with travel to Kerala, Tamil Nadu, Andhra Pradesh or Telengana and their contacts. This doesn't contain patients with interdistrict travel in Karnataka Southern States Of India Kerala, Tamil Nadu, Andhra Pradesh or Telengana. This doesn't contain Karnataka Southern States Of India Spain Spain Sri Lanka Sri Lanka Surat 21.17024 72.831061 Surat Switzerland Switzerland 2020-03-13T00:00:00 2020-03-18T00:00:00 2020-03-18T00:00:00 2020-03-13T00:00:00 TJ Congregation from 13th to 18th March in Delhi : The patients with travel history to the TJ Congregation in Delhi and their contacts. Tamil Nadu Tamil Nadu Telangana Telangana Texas Texas Thane 19.172431 72.957019 Thane Thane District Thane District The World Represents the geographic region of the entire world. The World SCTID: 224960004 Feeling tired Trivandrum 8.4875 76.9525 Trivandrum Tumkur 13.34 77.1 Tumkur Turkey Turkey UK UK UP Uttar Pradesh UP SCTID: 54150009 URTI Upper Respiratory Tract Infection USA USA From USA : The patients who had travel history to USA and their contacts. USACluster Udupi 13.3389 74.7451 Udupi United Arab Emirates United Arab Emirates From United Kingdom : The patients with travel history to UK and their contacts. UnitedKingdomCluster Unknown : The patients who have been listed in the Media Bulletins as "Contact Under Tracing"and their contacts. Uttar Kannada Uttar Kannada Uttar Pradesh Uttar Pradesh North Canara Uttara Kannada Uttara Kannada, formerly known as North Canara, is a district in the Indian state of Karnataka. North Canara Uttara Kannada Vadodara District Vadodara District Vellore 12.920219 79.133306 Vellore Vellore District Vellore District Vijayapura 13.29 77.8 Vijayapura Vishakapatnam 17.704167 83.297778 Vishakapatnam Ward 135 Ward 135 West Bengal West Bengal Western Province is one of the nine provinces of Sri Lanka, the first level administrative division of the country. Western Province Yadgir Yadgir 10 10 10 10 true T1 true T2 true T3 false T4 false T5 false T6 false T7 false T8 true T9 false T10 true T11 false T12 T13 T14 T15 T16 T18 p000018 T19 p000019 T20 p000020 T17 Note: had to give this test data id that may conflict with real data in order to process reason strings that require numeric computations on the ID's. I.e., they have to be numeric strings that can be converted to integers not string starting with "T" So make sure to delete this and similar test data before loading actual data. p000017 99992 Note: had to give this test data id that may conflict with real data in order to process reason strings that require numeric computations on the ID's. I.e., they have to be numeric strings that can be converted to integers not string starting with "T" So make sure to delete this and similar test data before loading actual data. 99993 Note: had to give this test data id that may conflict with real data in order to process reason strings that require numeric computations on the ID's. I.e., they have to be numeric strings that can be converted to integers not string starting with "T" So make sure to delete this and similar test data before loading actual data. 15 15 Bengalure Urban true Mild and Very Mild Covid19 Diagnostic Rule true Uncle Rule true Aunt Rule true Niece Rule true Nephew Rule true Moderate Covid19 Diagnostic Rule 15 true Severe Covid19 Diagnostic Rule 30 90