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Sunday, October 24, 2021

Why Singapore has a Sudden Increase in Covid New Case?

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3) Update : 11 December 2021
 
Lastest chart update about Covid situation in Singapore
Expert said Antigent Rapid Test or LFT works with Omicron
South Africa Adds Antigen Test


24 October 2021

Abstract:

Lockdown is an effective way to curb Covid from spreading.  It works by isolating all or part of the community,  trying to force the infected,  especially those asymptomatic to stay away from the rest of the community;  hopefully,  by testing or otherwise,  these infected people will disappear over time. 

Instead of using the Lockdown method,  Singapore implemented free and easily accessible Antigen  Rapid Test Kits (ART) in September 2021.  This has managed to flush out thousands & thousands of asymptomatic patients,  who otherwise will stay hidden in the Community,  spreading Covid silently.  The success will depend on whether this new method can flush out the asymptomatic patients in the Community.

Introduction

Singapore used to be one of the best in handling the spread of Covid pandemic disease.   It used to have the lowest Covid infection rate as well as the death rate.  Many countries have taken it as a model.    Lately,   Singapore's infection rate has risen exponentially;  at the same time, the death rate has also increased slightly as shown in the following chart.  It has recorded infection new cases hovering at around 3,000 to 5,000 recently.



Possible Reasons

The following might be the reasons:-

1.  Increase in a spread of Covid infection; 

2.  Increase awareness in the community to carry out frequent testings;

3.  Management lapse and negligence.

There were active web discussions about the reasons why.  Many are clueless.  Some attributed this to the pervasive Mandatory Fast and Easy Testing (FET) rules in September 2021.  Others blamed the mismanagement.  There are also people saying the mRNA vaccine is not effective.  This article will make an attempt to explain.


Why?

The recent rapid increase could be due to a combination of the above reasons.  

There could be a real increase in the spread of infection.  Many countries that opted to live with Covid also experienced the same. But many countries,  especially the European countries, are using  Antigen (ART) testings as an alternative to do away with Lockdowns.  This is because of the frequent street protests from the residents.



Singapore has just introduced this new rule using Antigen testing in September.  The new rule makes it mandatory for the residents,  especially those workers,  to do self-testing at regular intervals or whenever they are feeling unwell.   This move must have flushed out many hidden cases that otherwise will go unrecorded,  spreading Covid in the community.    

Sudden increase Not by Variants

The sudden increase in Singapore is not caused by variants.  If it was so,  the Authority would have reported it, and such statistics would have been reflected in the GISAID webpage
Click picture to go to the GISAID webpage


The "Silent Covid Spreaders"?

Although there was no known statistical testing done,  this technical article using a decision analytical model estimated that about 59% of Covid transmission came from people without any symptoms.  These people without any symptoms are known to be "Silent Covid Spreaders".

These people are always living real in the community,  spreading and transmitting Covid silently every day.  The Covid virus can also grow stronger by the day.   That is the reason why many countries failed to contain the disease.  Many countries have conceded and changed their strategies from "Zero Tolerance" to "living with Covid".

How Can We Flush Out these Silent Covid Spreaders?

Mass testing is always done to flush out these  "Silent Covid Spreaders".   Following up with Lockdowns is the way to complete the job.

In the past,  residents & visitors to the infection areas or clusters are always troubled and made to line up under the hot sun or corridors for many hours to get their Covid testing done.  This was when only a few hundred infected people were found daily. 
 
Today,   this scene is no more around but many thousands were found.   Some more,   about 99% of those found infected are without symptoms or with mild symptoms.  Why it is so?

Brought-in-Dead (BID)

Many countries with very high Covid infection rates often use BID (Brought-in-Dead) or DOA (Dead on Arrival) to measure the gaps in health services or the seriousness of the pandemic disease in the field.  It measures how many people are brought in Dead before any effort is put into resuscitation.  This indicator will often stand up when the health services are so loaded that they cannot handle the pandemic disease.  


So far,  there were no such BID reports in Singapore even though the new infection cases have been hovering around 3,000 to 4,000 daily at the moment.  The health services were still able to handle the new cases.   Why is it so?


Case Fatality Rate (CFR) vs Infection Rates

CFR is a ratio between confirmed deaths and confirmed cases.   CFR can be used roughly to indicate how serious is pandemic in a country.  Therefore,   countries with higher CFR can mean countries are having pandemic that is more serious than those with lower CFR.  The country with a higher CFR might have a lot of very sick people.   Presently,  Singapore has very high infection cases but very low CFR.  One reason is that 99% of the infection cases are asymptomatic.   How do they do it?






The Possible Answer
The sudden increase in infection rate happening in Singapore can be viewed as the result of the latest move by the Government to live with Covid and do away with "Circuit Breakers" aka lockdowns.  But at the same time,  they are flushing out the "Silent Covid Spreaders".  

First,  Singapore announced a new Covid testing rule in August/September.   It introduced and started ART,  the Antigen Self Covid Testing in September.  It made ART testing mandatory in some establishments in early September.  The month-long result must be good for them to extend mandatory ART testing to the rest of the community including the residents by 1st October.  Offenders would be taken to task and cases publicized.  

Second,  it has given every household a free blood oxygen meter and some free ART Self-Test kits to start with.    After that,  more ART Self Test kits were made available for free.


In addition,  the Government is making sure:-

a)  The free Self-Test kits are made readily available also to those infected.  They can draw the test kits from vending machines located all over the island on a 24/7 basis;

b)  The kits are also distributed to companies, factories,  construction sites,  offices & establishments for them to test each and every worker regularly daily.  

All those who tested positive using self-test kits & display symptoms (mild or otherwise) will have to submit the results to the Authority for PCR confirmation as required.  Once confirmed,  the patients will have to wait for the quarantine instruction from the Authority.  Home quarantine is only allowed for those aged below 60.  

Most Singaporeans are generally aware of the strict law enforcement in Singapore.   They don't want to be caught by the laws.  Many must have diligently carried out the self-testing at their premises. 

After such a move started on Sept/Oct,   PCR testing centres,  information service, and treatment facilities were overwhelmed and overloaded.   Those waiting for Authority's instructions were often seen complaining in the forum about the long waiting time.   The infection rate suddenly shot up.    It would appear that the Singapore Government's latest strategy of flushing the "Silent Covid Spreaders" started working.  

With ART testing kits easily available,  people are aware if they have been infected by the deadly Covid and seek medical attention at the earliest instant.  Hence, no BID reports so far.



Corresponding Increase in Hospitalisation and Death Rate

Although there was a corresponding increase in the number of hospitalization and deaths putting some pressure on the medical system,  this could be due to the emergence of a new infection wave or pattern.   But this did not attract the Authority to sound any alarm or raise the DORSCON (Danger) level because:- 

1)  The hospitalization number is rising slightly

This chart shows the number of infections vs the number of hospitalization. It indicates that the hospitalization number has risen only slightly. This was after they introduced ART testing.  It is not rising in tandem with the infection. 

2)  The majority of those infected were having either mild or no symptoms.  They have been put either in-home quarantine order or in Community Care Centre for observation.  


3)  The death rate per 100,000 is still very low. 


4)  The Weekly Ratio of Infection in the Community is falling

The Ratio of community cases in the past week over the week before has been falling gradually ever since August.















This Could be What Happen


1.  Before ART Testing is in place
The "Silent Covid Spreaders" would stay at home and would not pay money to visit the clinic when they have had flu-like symptoms,  like fever or sore throat.  They would visit the clinics only when they became very sick.  

Mass testing done can get at most,  a few hundred "Silent Covid Spreaders"

2.  After ART Testing is in place
The same "Silent Covid Spreaders"  will usually use the free blood oxygen meter to test for fun.  When reading is low,  they become curious and use the free ART testing kit to confirm.   With positive readings from ART testing,  they will get panic.   wondering if the sickness will get worst and they will want to visit the clinic or the testing centres in the next very first hour.  As a result,  clinics are lately seeing a lot more infection cases.

This explains why no mass testing was done but Authority can get several thousand in a day. 
 


What about Cost-Effectiveness?

Giving out free blood oxygen meters and ART testing kits to every household may look to be a wasteful and overkilled effort initially.  Many people did not expect it to be well-received because Singaporeans,  by nature,  are always reluctant to share personal information voluntarily even though submitting the test results is mandatory.    

Now it turns up that this strategy of self-testing is not only successful,  it is also cost-effective.  The Government can save at least the cost of the following items:-

a)  The first PCR testing which otherwise would cost another US$100/=.  This is because 2 PCR testing will be needed to confirm the infection;

b)  The cost of setting up and manning of field testing stations;
c)  The manpower and admin for tracing,  calling up & monitoring all the testing work.  The majority might not be even infected and PCR testings are always wasted.

As for the Singaporeans,  they can save themselves from the agony of spending valuable time,  lining up for hours to get mandatory PCR testing done.

Results:  

1) Flushed out Thousands of  "Silent Covid Spreaders" 

The following chart using Data from Our-World-in-Data illustrates that Singapore was able to use the latest ART testings strategy to successfully detect about 5,000 cases a day on 27 October.  They have not only reduced the frequency of PCR testings but also did it without using mass testing and other methods.  Thousands were found with no or mild symptoms.  The chart shows clearly that the infection rate increased in tandem with the increase in the positive rate in testings;  at the same time,  the testing rate was declining.  The positive rate went up 18 times from about 1% to about 18% with a 60% decline in testing rates.  This is not possible without the help of ART testings.


Note:  Positive Rate is the % ratio between Confirmed Case over the number of tests carried out

2) Rapid Increase and falling in Covid cases

Our World in Data compares countries in terms of how rapidly a country's Covid cases have doubled.  Singapore came second next to Barbados,  doubling the cases in 35 days.  Although there was no report in our World in Data about the rapid fall in Covid cases,  Singapore just announced to say that the new cases were only 1,723 on 14 November.  They managed to cut down by half the number of new cases from the record of 5,000 new cases on 29 October.  That is in less than 16 days.  


What Others Are Still Doing


The attached Appendix is showing some examples of what other countries are now doing to flush out the "Silent Covid Spreader".  Although some ideas like mobile testing are good, it is doubtful it will be as effective as giving out free ART Test kits idea.  

In Conclusion

We are of the view that this sudden increase in the infection rate in Singapore is mostly due to the Government's latest move to make self-testing mandatory.   It is good,  timely, efficient, and cost-effective.  

The "Silent Covid Spreaders" in the Community must always be flushed out as much as possible to stop Covid from having a chance to spread and grow stronger every day.  Singapore should be able to see very low new cases very soon.

3)  Update: 11 December 2021

This updated chart taken on 11 December shows that Singapore was able to tame the Covid in about 109 days;  this is less than half of the ttime taken by its neighbour,  Malaysia.  Both Malaysia and  Singaopre are having predominantly the Delta variant.   

The  abundant use of ART test kits must have help Singapore to achieve this better than expected results.




2) Update: 8 December 2021

  • Individuals getting tested will likely not know which specific variant of the virus they have based on a basic PCR or antigen test.
for more information:  Read here


1) Update 28 November

South Africa Adds Antigen Test

South Africa Health Authority found 20,000 new cases by Nov 8 and this is about 26% of the 75,000 Antigen tests (ART) done.  They are now adding Antigen testing to the National count.   They said " Analysis of the mutations in the nucleocapsid (N gene) of B.1.1.529 viruses suggests that rapid antigen tests should be unaffected, however, verification of this is underway."

References:


Appendix:   What others are still doing



Why UK's Vaccinated Has Higher rate of Infection than the Unvaccinated?

10 October 2021

Jump to 

1) Update : 13 December 2021

Introduction

The UK Heath Security Agent (UKHS) has regularly published COVID-19 vaccine surveillance reports weekly.  In its week 42 report,  it attached this table:

It also attached this chart



What Could be the cause?

UKHS explained that it could be due to a variety of reasons, including differences in the population of vaccinated and unvaccinated people as well as differences in testing patterns.  But what exactly does this mean and why does this happen?

What does it mean and Why?

The infection rate discrepancy between the vaccinated and unvaccinated always happen and is commonly found when the majority of the population is vaccinated.   This also happened recently in Singapore.  The Singapore Authority had to stop publishing such information in late September when such data become meaningless and misleading.   We are not comparing the effectiveness of vaccines.

To understand why it happens,  lets us examine a simple and extreme example.  Imagine we have a population of 10,000 people.  9,000 are fully vaccinated and stay active with constant human-to-human contacts and interactions.   The other 1,000 are unvaccinated and always stay in isolation or in a rural area away from busy streets.  In this case,  it is always likely that the rate of infection of the vaccinated is always higher than the unvaccinated in this population.

If we must compare the vaccine effectiveness,  we must make sure the comparison is always done on the fairground.  We must know if the vaccinated and unvaccinated are exposed to Covid on an equal and fair basis.   This is only possible only when the unvaccinated are not aware they were not vaccinated.   

This was exactly what the vaccine manufacturers had done when they first carried out the vaccine efficacy test earlier.  Then,  all participants were jabbed;  half with vaccines & others half with placebo.  The unvaccinated always thought they were vaccinated  They were expected to behave the same when they returned back to the community.    

Using the raw real-world data,  the remaining few unvaccinated,  knowing they are more vulnerable,   will always take extra precautionary steps to prevent themselves from exposing themselves to Covid infection.  If we were to use such raw real-world data for comparison,  we are actually not comparing vaccinated against unvaccinated but other things like vaccinated against the various Covid control measures. By using the same argument,   if the vaccinated were to take the same and stringent control measures as the unvaccinated,  quite sure the results would be much different.

Then How Do We Rate them?

When a situation like the above extreme example was to happen and we must rate them,  a fairer rating system is to compare the rate of infection (or the attack rate) of the vaccinated against a known benchmark,  An example is shown on this webpage.

In Conclusion

It is always important to know what we are comparing.  Sometimes, it is better to omit and ignore such data instead of comparing them and getting meaningless results or answers.



back to top
Update: 13 December 2021

One can always take all extra precautions to avoid being infected but one cannot cheat death.  This superimposed chart from Our-World-in Data shows that the unvaccinated has 5 times the death rate compared to the vaccinated.  The ratio was 8:1 at the peak just a week ago.



References:



Thursday, October 21, 2021

Latest Update of Singapore's Covid-19 Charts

Updated Daily from 20 October 2021

MOH  resumed publishing Covid data by vaccination status again in early October after a brief stop in September.  This time,  they concentrate on reporting the data for hospitalization and severely sick patients.  The latest data are shown by vaccination status in terms of vaccinated(V) and Not-Fully-Vaccinated (NFV).   

This article will resume tracking the vaccine effectiveness.  The charts will be updated daily. 

1)  Vaccination Rates

2)  Attack Rate for Hospitalisation

This chart shows the Hospitalisation attack rates of vaccinated(V) and the Not-Fully-Vaccinated (NFV)The data is extracted from MOH's chart. The rate is worked out based on this formula

The chart shows the % of people who are hospitalised after having exposed to Covid-19. The right axis shows the ratio between vaccinated and not fully vaccinated.  The attack rate assumes:

1.  The population of NFV excluded those whose age is less than 12 years old (the minors) and also,  their infection figures adjusted to reflect the same.  The population of the minors is about 250,000;
2.  Those having infected will have natural immunity and 40% of them are NFV


3)  Attack Rate for Patients in O2 or ICU Beds 

Similar to Chart 1 but for patients who are severely sick requiring O2 support or ICU beds.

The chart shows the % of people who become severely sick after having been exposed to Covid-19. The right axis shows the ratio between vaccinated and not fully vaccinated.

4)  Full-Doses Vaccine Effectiveness for hospitalised & those required O2 & ICU )

This chart works out the Full-Doses' vaccine effectiveness for those who are severely sick & in O2 or ICU beds. It uses the data extracted from MOH's chart. The effectiveness is worked out based on the same formula in this wiki.
The chart shows that Fully Vaccinated people have more than 80% chances of avoiding hospitalisation & 90% chances of becoming severely sick as compared to Not Fully Vaccinated people.


Note 1:  The sudden dip could have been caused by spikes and delays in testings
Note 2:  The Chart was split to show ICU(unstable) & ICU(critical)  on 30 October 2021.

5)  Booster-Dose Vaccine Effectiveness for hospitalised & those required O2 & ICU ) 

This chart works out the Booster-Dose's vaccine effectiveness who are severely sick & in O2 or ICU beds. It uses the data extracted from MOH's chart.
The chart shows that people with Booster-Dose have more than 95% chances of avoiding hospitalisation & severely sick as compared to Not Fully Vaccinated people.

Note 1:  MOH's started to provide booster shot information on severely sick patients from 6 October 2021
Note 2:  The Chart was split to show ICU(unstable) & ICU(critical)  on 30 October 2021.

6)  Infection Number vs Hospitalisation/Dead  Numbers
This chart shows the number of Infections vs Hospitalisation published by Singapore MOH.   If the infection is due to new waves,  hospitalisation figures will usually rise in tandem.

7)  Number of Deceased
This chart shows the number of deceased as published by Singapore MOH



8)  Imported as % of Local Cases

The imported cases have cropped up the end of December 2021.  This  chart shows the import cases as % of local cases


9)  Weekly Infection Growth Rate


This Chart from MOH Singapore shows how serious is the spreading of the infection and if the infection spread has been controlled.  If the growth rate is less than 1.0,  it will mean that the infection spread has slowed down.



10)  % of people severely sick and Dead according to Vaccination Status 

This MOH Singapore chart shows the % of people becoming severely sick (Requiring O2 support and ICU) and Dead after having exposed to Covid infection.   For the period (1 May to 31 Oct 2021as shown in this MOH webpage

11)  Daily new Cases and Case Fatality Rate (CFR)

Our World in Data has published 2 useful comparison charts that will tell how serious is the present pandemic in various countries.  These 2 chart shows the situation in ASEAN Countries.   It will be less worrying if a country has very high new Cases but very low CFR especially when the country has a lot of new asymptomatic cases.  This is presently the case in Singapore.




Reference:

1.  MOH Twitter

2.  Covid-19 Situation Report (Summary)

3.  Covid-19 Situation Report (Detail)

4.  News Highlight (Daily)

5.  Statistic

6.  Download MOH Singapore Data

a)  Raw from MOH/Data.sg

         



b)  Extracted





Why Discriminate Against Unvaccinated?

21 October 2021

Nowadays,   it is common for countries to restrict the movement of the unvaccinated.  Some do not allow unvaccinated to enter PUBs,  some,  to enter malls and public places. This has made many people very unhappy.   Some even take the matter to the street,  protesting against the Government for unfairness and discrimination, and for disrupting their daily and family life. This article will try to illustrate why there is such a rule using the available data provided by MOH of Singapore.

Singapore's New Covid Rule

Singapore changed its Covid rule on 9 October 2021.  The new rule allows only groups of up to 2 fully vaccinated persons to dine in at hawker centres and coffee shops, and to enter shopping malls and attractions.  The Authority did not elaborate much on the reasons for such a move when they first announced the new rule. 
 

Possible & Likely Reasons for such Move

The following are the possible and likely reasons:

1.  The number of those severely ill patients requiring oxygen support and ICU has risen exponentially;  most of these patients are unvaccinated and many of them are seniors;
3.  The existing and available medical facilities have almost been exhausted;  it is expensive and wasteful to increase the facilities unless it cannot be avoided.   

The Explanatory Charts

MOH has published several data and charts as shown in the appendix.   Among them,  only the following chart could explain and back up the reasons.  This chart shows that the Not-Fully-Vaccinated (NFV) are using up more than 50% of oxygen and ICU facilities at the present date.  But the number of unvaccinated at present is less than 10% of the population if we were to exclude those below 12 years old.

Click picture to enlarge
   
The following charts expanded from the MOH's data show the attack rate of those severely ill patients recently admitted to the hospital.      The rate is worked out based on this formula

The chart shows  the % of people who become severely ill after  having exposed to Covid-19. 

1)  Attack Rate for Severely ill Vaccinated/Not-Fully-Vaccinated (NFV) Patients




2)  Number of Deceased



One can readily see from the above 2 charts that the attack rate of the unvaccinated and the number of death have risen significantly in recent weeks.  Most of the death are Not-Fully-Vaccinated patients (NFV).    They, unfortunately, loaded up the existing and available medical facilities.   This must-have prompted the Singapore Government to introduce the new Covid Rule as the first step to restrict the movements of the NFV.

References:

1)  Singapore's New Covid Rule:  sg.gov
2)  Attack Rate Definition:  Wikipedia
3)  Chart source 1:  MOH,  Singapore



Friday, October 8, 2021

How Best to Verify if an Air-conditioning Fan Coil Requires a Chemical Washing

Chemical washing of air conditioning units is always expensive.   It is a difficult decision to make for the novice especially when the air conditioner is still in good working condition after the last servicing.  Also,  chemical washing of air conditioning units can be messy involving a lot of after-service work such as floor cleaning,  etc.  This article will describe a simple and yet cost-effective way to verify if chemical washing is necessary.

How They Tell? 

The very experienced will often determine if a chemical washing is required by just visually inspecting the condition of the fan coil.  The more responsible mechanics might carry out air flow, refrigeration pressure, or cooling coil temperature measurements.  But the result of these is just "Greeks" to the Novice.  Some might like to be convinced if the expensive chemical washing work is required.  

A quick and dirty method to tell if chemical washing is required is to use backlight inspection.  This method will use a bright light shining from the back of the fan coil unit.  The Novice can easily use this method to verify if a chemical washing is required.  

What's Needed? 

All one needs is a very bright inspection lamp that can be inserted behind the coils.  This lamp must be small & thin enough to "snake" through the very narrow space around and behind the axial fan as shown. 
This brightly lighted lamp behind the cooling coils will allow one to inspect the fins.   If the fins are badly clogged with dirt,  one could hardly see the bright light emitted by the lamps.   

Where to Buy this lamp?

This lamp can be purchased from Internet Shopping.  


The alternative is to construct such a lamp using the following components from eBay:


To make these cheap eBay lamps as inspection lamps,  one might have to stiffen the lamp wiring with some sort of thin gauge stainless wire or equivalent.  

One could also construct this inspection lamp quickly using  SMD LEDs powered by AA-size batteries with steel wire as stiffener as shown in the following picture.  The number of batteries to be used will depend on the rating of the LEDs.   Usually,  3 batteries would be more than enough to power up the LED lamp.  The addition of a small copper heat sink would ensure lasting performance.   The SMD LEDs can be extracted from spoilt LED lamps.




 The Result














    

Thursday, September 2, 2021

Why do We Need to Be Concern about Some Vaccine Effectiveness Studies (Part 2) ?

In Part 1,  we found that those studies done using real World Data are actually not measuring the vaccine effectiveness but a combination of vaccine and the other Covid-19 control measures.   These other control measures are shutdowns & isolation,  mask-wearing, etc.    This Part 2 will suggest a way where we can use to monitor how effective are these combined Covid-19 control measures.  We can term this "the effectiveness of the Covid-19 control measures"

How?

By comparing the attack rates of Covid-19 against those data obtained from the vaccine efficacy trial results or an acceptable level or limit.

What data?

From the vaccine efficacy trial results for the 3 vaccines,  namely,  Pfizer, Moderna & Johnson & Johnson,   we can obtain the following data:

a)  The average attack rate for the vaccine group was 0.24% and for the placebo group,  1.25%.  The standard efficacy formula is as follows



b)  Using the same standard formula,  we can plot out a chart showing the attack rates of the vaccine group against vaccine efficacy as shown in the following chart

Chart 1:  Attack rates of Vaccinated Group at various Vaccine Efficacies


Comparing the Attack Rates

Using the attack rates at various vaccine efficacies,  we can draw up a chart showing how effective is the Covid control measures as compared to the vaccine efficacies shown in Chart 1.  This is Chart 2 which plotted  "the Attack Rates by Vaccination Status".  This chart uses Singapore MOH's Real World Data

Doubleclick picture for latest updates




Interpretation?

1. Chart 2 illustrated that Singapore has good control over Covid-19 infection at present. It uses a combination of the following measures:

a) Vaccination: To date, 80% of the 5.9 million residents have received full-dose and 85% of them have at least 1-dose;

 b) Mask wearing & social safety distancing for all residents are compulsory for all indoor as well as outdoor activities;

 c) All social, religious gatherings and sporting events are controlled by having a cap on the maximum number of attendees as well as other controls;

         d) Business events and other events are curtailed;

e) Other measures are as shown here

2. The above control measures in Singapore are showing to have a Covid attack rate even better than the 95% vaccine efficacy;
3. The remaining 15% of the unvaccinated residents in Singapore have exercised good control measures to prevent themselves from getting infected. As many as 60,000 Singaporeans have already been infected before Singapore rolled out its vaccination program in Feb 2021. They would have the natural immunization without acquiring vaccines. Many could have been infected without noticing it because they were asymptomatic. The unvaccinated residents in Singapore have better attack rates at the present moment.

4. We can use this method to monitor how effective are our control measures and what would happen if we relax any of the control measures.

Conclusion


1. We could monitor the effectiveness of the control measures implemented in various countries by comparing the Covid-19 attack rates of the residents against those of the Vaccine Trial Tests;

2. The real World Data cannot be used to measure the vaccine effectiveness unless one can discount the effect due to all the biases and other Covid-19 control measures that will affect vaccine effectiveness calculation;

3. The standard formula cannot be used when more people in the population have been vaccinated.
The charts and table as shown will be updated daily and presented on this webpage.



Wednesday, September 1, 2021

Coronavirus Vaccination Status in Hong Kong

17 May 2021

Notices

The data and graph from SCMP are readable again from 22 November onwards.   The other Graphs have been updated

Hong Kong Government has been publishing data about the number of people taking Sinovac and BioNTech coronavirus vaccines.   The data has been collated and plotted by South China Morning Post (SCMP) of Hong Kong and a copy of which is mimicked here for the convenient of the readers

Courtesy: SCMP

The data has also been analyzed and graphically plotted as shown in the following which is self-explanatory

2)  Total Number of Covid-19 Doses in Hong Kong

3)  Daily 1st Covid-19 Doses in Hong Kong

4)   Daily Covid-19 Doses in Hong Kong

5)  Cummulative 1st Covid-19 Doses in Hong Kong

6)  1st Dose growth against average in Hong Kong 

The pick-up rate of the 1st dose takers was fast in the first month after the roll out. Hong Kong rolled out a vaccination plan at the end of Feb 2021.  The growth was later boosted by introducing BioNTech in early March.  But this growth rate had a setback and dropped to -70% against the average at the end of March. This was because BioNTech was suspended for 10 days for a packaging problem. The growth pick up steam from 4th April. By mid-April, it grew to 88% against the average. Growth slowly declined thereafter to the present -39%  on 19 May.

 

7)  % Population with at least 1 Dose & with Full Doses


For more other details,  please refer to this other webpage:  

The Comparison of Real World Covid Charts



Hong Kong Vaccination Data Download in CSV file

     





https://tinyurl.com/h5j7zb9e

The Updates From the Ministry of Health (MOH) of Singapore

8 September 2021

12 September 2021 Update:   MOH has stopped publishing details about infection and death rate according to vaccination status.  This page will not be updated.


Singapore's Ministry of Health (MOH) has recently changed its reporting format.   It now concentrates on reporting how well the vaccinated and unvaccinated Singapore residents have performed when they have been infected.    The idea is to encourage more residents to take vaccines.  It paid special attention to those elderly aged residents who are most vulnerable to be infected.

This article is using these MOH's real World data and transforms some of them to show the vaccine effectiveness used in Singapore as an example.  The information has been used on this webpage.   

Note:  The information in this article will be updated daily until further notice.  

Chart 1: % of Population vaccinated with 1 dose and full 2 doses
This chart shows the vaccination status of Singapore residents over the period specified. It can be used to roughly estimate the vaccine effectiveness by assuming entire Singapore as one community
Chart 2: Infection According to Vaccination Status

This chart shows the number of infections according to Vaccination Status as shown in MOH Figure 3: Local Cases in the Last 28 Days by Vaccination Status & Severity of Condition


Chart 3: The Virus Attack Rates by Vaccination Status (Infection)

This chart shows the attack rates of vaccinated and the unvaccinated of those infected. The data is extracted from the same source as Chart 2. The attack rate is explained in this wiki.
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Fishery Market Breakout on 18 July 2021

Dormitory in Woodlands Breakout on 23 Aug 2021

Note The attack rate is for a 28-day interval as stated by MOH from 9 Sept 2021

Chart 4: Attack Rates of Severely ill (O2 +ICU)

This chart shows the attack rates of vaccinated and the unvaccinated, who are severely ill and required oxygen or ICU support. The data is extracted from Figure 3: Local Cases in the Last 28 Days by Vaccination Status & Severity of Condition. The attack rate is explained in this wiki


Note 1:  6.00E-5 in vertical scale=0.006%
Note 2: The attack rate is for a 28-day interval as stated by MOH

Chart 5: The Attack Rates of Death


This chart shows the attack rates of vaccinated and the unvaccinated who have left the World. The data is extracted from Figure 3: Local Cases in the Last 28 Days by Vaccination Status & Severity of Condition. The attack rate is explained in this wiki


Note 1:  6.00E-6 in vertical scale=0.0006%
Note 2: The attack rate is for a 28-day interval as stated by MOH
Note 3:  No Death so far 1 dose; one Fully dosed 90-year-old died on 17 August

The MOH Real-World Data in CSV file





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