318 Deaths & 13479 Cases in DK due to COVID-19 from 25 March 2020

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318 Deaths & 13479 Cases in DK due to COVID-19 from 25 March 2020

Mangaluru: As per Dakshina Kannada Distrcit Analysis of Deaths related to COVID-19 from 25 March 2020 until 2 September 2020, in Mangaluru there were 218 deaths (57.21%); Bantwal – 46 ( 12.07%); Beltangady- 11 ( 2.88 %); Puttur-23 ( 6.03%); Sullia 4 ( 1.04%); and other districts 79 ( 2-73%) , with a total of 381 deaths (100.2%). In Male, there were 277 deaths (73%), and Female- 104 deaths ( 27%). Age wise No. of cases: 0 – 20 age 4 ; 21 to 40- 30; 41 to 60- 132; 60 to 80-188; 80 plus- 27.

HOSPITAL-WISE DISTRIBUTION OF COVID 19 DEATHS : AJ HOSPITAL, Mangaluru 34; KVG HOSPITAL,SULLIA; CITY HOSPITAL- Mangaluru- 1; COLACO HOSPITAL- Mangaluru- 1; DISTRICT WENLOCK HOSPITAL- 112; FATHER MULLER’S MEDICAL COLLEGE HOSPITAL.- 31; FIRST NEURO HOSPITAL- 1; HIGHLAND HOSPITAL-6; INDIANA HOSPITAL-13; INDIRA HOSPITAL- 1 ; K S HEGDE HOSPITAL- 35; KANNACHUR HOSPITAL- 12; KMC ATTAVAR-17; KMC HOSPITAL- JYOTHI – 6; MANGALA HOSPITAL-10; SCS HOSPITAL-3; SRINIVAS HOSPITAL-6 ; TARA HOSPITAL- 5; UNITY HOSPITAL- 9; VINAYA HOSPITAL 5; VINAYA NURSING HOME- 1; YENEPOYA HOSPITAL- 69; GOVERNMENT HOSPITAL, PUTTUR- 1

In Dakshina Kannada district, Mangaluru Taluk has a maximum number of Deaths 57.21% (overall DK District’s mortality rate is 2.82%). The male death percentage is much higher than the female. With reference to COVID-19 Age-wise death indicates, the age group between 60 to 80 – 49.3% and 95.3% deaths because of Co-morbidity.

To reduce the death rate, these strategies were focused on:

Testing and Tracing Local transmission leading to clustering of cases in time and space

Extensive contact tracing and active search for cases in the containment zones

Testing all suspect cases and high-risk contacts

Isolating all suspect / confirmed cases and providing medical care

Quarantining contacts

Implementing social distancing measures

Intensive risk communication

Setting up an infrastructure for treatment Patients Categorization with respect to COVID Hospitals.

Dedicated COVID Care Centers (DCCC):

Patients who tested positive for COVID-19 with mild and very mild symptoms or till such time their results are available they will remain in the “suspect cases” section of the COVID Care Center preferably in an individual room. If any patient admitted to the COVID Care Center qualifies the clinical criteria for moderate or severe cases, such patients will be shifted to a Dedicated COVID Health Centre or a Dedicated COVID Hospital.

Dedicated COVID Health Centre (DCHC):

Patients who have tested positive for COVID-19 with moderate symptoms means Pneumonia with no signs of severe disease (Respiratory Rate 15 to 30/minute, SpO2 90%-94%) in these conditions. Such cases will not be referred to COVID Care Centers but, will be admitted to Dedicated COVID Health centers.

Dedicated COVID Hospital (DCH):

If Patient with Severe Pneumonia (with respiratory rate ≥30/minute and/or SpO2 < 90% in room air) or ARDS (Acute respiratory Distress syndrome) such cases will be directly admitted to a Dedicated COVID Hospital’s ICU till the test results are obtained.

Categorization of Patients will reduce the rush in the hospitals, and resources are properly utilized for essential and high-risk patients. Manpower Medical staff; Doctors and nurses attending to patients in isolation, ICU/ critical care facilities of hospitals in the containment zone; Para-medical staff in the rear cabin; Those working in laboratories; To be used by Fieldworkers doing surveillance work; Staff providing essential services; Suspect cases and caregiver/bystander of the suspect case; Security staff; Ambulance drivers.

Ensuring that all the staff are getting sufficient amounts of medical equipment like PPE Kit, N95 Mask, Gloves, etc. These staffs undergo regular testing so that they can isolate themselves immediately from another team when they get caught by COVID-19. Use of technology plays a vital role in reducing the death rate of COVID-19.

COVID-19 data is vast, it is very tough to maintain manually, so technology provides support to analyze the data for quick actions. Some technologies like DBMS (Database management system), GIS (Geographical information system) are very useful in reducing death cases.

Photos for Illustration Only

Note: Inputs provided by District Surveillance Unit.


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