Morbidity and Mortality #19

06 July 2020

Morbidity and Mortality

Weekly Update (MMWU) #19

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update/

Dead Recovered Confirmed Tested In this issue of COVID-19

Morbidity and Mortality Weekly

Update (MMWU) # 19 (30 June –

06 July 2020):

dashboard with key figures;

detailed epidemiological

update on COVID-19 pandemic

in Bangladesh, week 30 June –

06 July 2020;

daily and weekly distribution of

COVID-19 cases and related

deaths;

growth factor of daily COVID-

19 cases

daily distribution of COVID-19

cases and rolling three-days

average per division;

gender and age distribution of

COVID-19 cases and deaths

overall attack rate and per

division;

death and recovery rates of

closed cases;

comparison data with selected

countries in South East Asia;

and

geographical distribution of

COVID-19 laboratories, number

of COVID-19 tests and Attack

Rate per division.

Tested Confirmed Recovered Dead Hotline

863,307 165,618 76,149 2,096 14.9 million

Test/1 million New Cases Recovery Rate CFR% AR/1 million

5,069 3,201 45.9% 1.27% 972.4

Laboratories PPE Stock PoE Screening

73 COVID-19 Labs

Last days

115,865 Samples

1,171,950

359,588

3,162,783

25,771

62.5%

Inside Dhaka

Tests

193,659

7,029

22.4%

Positive Tests

470,227

351,651

Photo Credit: Social Media, Bangladesh

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update/

2 | P a g e

WHO Bangladesh COVID-19 Morbidity and Mortality Weekly Update (MMWU) 06 July 2020/Vol.19

1. Highlights

As of 06 July 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), there are

165,618 confirmed COVID-19 cases1 in Bangladesh, including 2,096 related deaths; Case Fatality Rate (CFR) is

1.27%.

On 30 June 2020, the Ministry of Public Administration issued a notification declaring Red Zones in Dhaka South

Corporation, which include Tipu Sultan Road; Tipu Sultan Road; Jahangir Road and Dhaka-Sylhet Highway (from Joykali

Mandir to Baldha Garden) – Outer Road and -Larmini Road; Hore Road; War Road; Rankin Road and Nawab Road -Inner

road. Conditional general holidays in these areas are announced from 4 to 25 July 2020. Full text of the notification:

www.mopa.gov.bd

2. Coordination

On 29 June 2020, WHO published a new interim guidance on Infection prevention and control during health care

when coronavirus disease (COVID-19) is suspected or confirmed. WHO recommendations for outpatient care

include: consideration of alternatives to face-to-face outpatient visits using telemedicine (e.g. telephone consultations

or cell phone videoconference) to provide clinical support without direct contact with the patient; screening, early

recognition and isolation of patients with suspected COVID-19; emphasis on hand hygiene, respiratory hygiene and

medical masks to be used by patients with respiratory symptoms; appropriate use of contact and droplet precautions

when performing clinical exam on patients with suspected COVID-19; prioritization of care of symptomatic patients;

when symptomatic patients are required to wait, ensuring they have a separate waiting area where pa tients can sit at

least one meter apart and provide them with masks; and education of patients and families about the early recognition

of symptoms, basic precautions to be used and which health-care facility they should refer to if any family member

shows signs of COVID-19. Full document: https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-2020.4

On 30 June 2020, WHO published a scientific brief on Smoking and COVID-19. The brief concluded that all available

evidence suggests that smoking is associated with increased severity of disease and death in hospitalized COVID-19

patients. Although smoking is likely related to severity, there is no evidence to quantify the risk to smokers of

hospitalization with COVID-19 or of infection by SARS-CoV-2 was found in the peer-reviewed literature. Population-

based studies are needed to address these questions. WHO recommended that tobacco users stop using tobacco.

Proven interventions to help users quit include toll-free quit lines, mobile text-messaging cessation programmes,

nicotine replacement therapies and other approved medications. Full document:

https://www.who.int/publications/i/item/WHO-2019-nCoV-Sci_Brief-Smoking-2020.2

On 30 June 2020, WHO held the 1st Infodemiology2 Conference. The overall aim of this consultation is to take stock

of relevant research and effective practices and define public health research needs in order to advance this field with

the objectives of understand the multidisciplinary nature of infodemic management; identify current examples and tools

to understand, measure and control infodemics; build a public health research agenda to direct focus and investment in

this emerging scientific field; and establish a community of practice and research. Experts from the fields of Epidemiology

& Public Health; Applied Mathematics & Data Science; Digital Health and Technology Applications; Social & Behavioral

Science; Media Studies & Journalism; Marketing, UX & Design; Risk Communication and Community Engagement; Ethics

& Governance and UN agencies and Public health authorities participated in the conference. Full document:

https://www.who.int/news-room/events/detail/2020/06/30/default-calendar/1st-who-infodemiology-conference

1 WHO Bangladesh COVID-19 Situation Reports present official counts of confirmed COVID-19 as announced by the IEDCR and DGHS

on the indicated date. Difference in data between the WHO reports and other sources can result from using different cutoff ti mes for

the aggregation and reporting of the total number of new cases in the country .

2 “infodemiology” is defined as the science of managing infodemics.

http://www.mopa.gov.bd/

https://www.who.int/publications/i/item/WHO-2019-nCoV-IPC-2020.4

https://www.who.int/publications/i/item/WHO-2019-nCoV-Sci_Brief-Smoking-2020.2

https://www.who.int/news-room/events/detail/2020/06/30/default-calendar/1st-who-infodemiology-conference

3 | P a g e


3. Surveillance and Laboratory

Between 9 March and 06 July 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR)

there were one-hundred-sixty-five thousand-six-hundred-eighteen (165,618) COVID-19 confirmed by rt-PCR, including

two-thousand nighty-six (2,096) related deaths (CFR 1.27%).

In the current week (epidemiological week 27), in comparison to the previous epidemiological week, the number of

COVID-19 confirmed cases decreased by 3.3% (24,630 and 25,481) but the number of COVID-19 related deaths

increased by 14.9% (315 and 274 respectively), leading the CFR to go up from 1.08% in epidemiological week 26 to

1.28% in the current week.

The figures below are showing the daily and weekly distribution of reported confirmed COVID-19 cases and

deaths, 08 March – 06 July 2020, Bangladesh.

60

45

30

15

0

15

30

45

60

75

90

-4,000

-3,000

-2,000

-1,000

0

1,000

2,000

3,000

4,000

08/03 16/03 24/03 01/04 09/04 17/04 25/04 03/05 11/05 19/05 27/05 04/06 12/06 20/06 28/06 06/07

Num

ber

of D

eath

s (n

=2,0

96)

Num

ber

of C

ase

s (N

=165,6

18)

# Cases # Deaths

Poly. ( # Cases ) Poly. (# Deaths)

0

50

100

150

200

250

300

350

-

5,000

10,000

15,000

20,000

25,000

30,000

w10 w11 w12 w13 w14 w15 w16 w17 w18 w19 w20 w21 w22 w23 w24 w25 w26 w27

Weekl

y D

eath

s

Weekl

y C

ase

s

# Cases # Deaths

4 | P a g e


Out of the total 165,618 COVID-19 cases registered as of 06 July 2020, 45.98% (76,149/165.618) - recovered, 1.27%

(2,096) - died and 52.76% (87,373) are active cases.

The figure below is showing active vs recovered confirmed COVID-19 cases outcome per epidemiological week,

08 March – 06 July 2020, Bangladesh.

In the current week (epidemiological week 27), the number of COVID-19 active cases decreased by 96.3%, in comparison

to the previous week (7,417 and 14,557), the number of recovered COVID-19 cases increased by 58.7% (16,898 and

10,650) and the number of COVID-19 related deaths increased by 14.9% (315 and 274 respectively).

The figure below is showing the weekly outcome of reported confirmed COVID-19 cases, 08 March – 06 July 2020,

Bangladesh.

0 T

20 T

40 T

60 T

80 T

100 T

120 T

140 T0 T

10 T

20 T

30 T

40 T

50 T

60 T

70 T

80 T

90 T

10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

Tho

usa

nd

s

Epi Week

Active cases =

76,149

87,373

Recovered =

8,6

62

10,4

93

14,2

56

16,6

41

12,1

47

14,5

57

7,4

17

4,8

23

26,3

47

10,6

50

16,8

98

51

100

152

170

238

283

292

274 315

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000


Weekly Active Weekly Recovery Weekly Deaths

5 | P a g e


As of 06 July 2020, there were 78,245 (47.2%) COVID-19 cases with known outcome (closed cases). Out of all closed

cases, 97.3% (76,149/78,245) were cured and 2.7% (2,096) died. The recovery rate of 97% in the closed cases didn’t

show any change since 16 June 2020. The death rate on closed cases in Bangladesh is lower than the 8.0%

(533,621/6,978,964) global average as of 06 July 2020.

The figure below is showing the death and recovery rates over cumulative closed confirmed COVID-19 cases, 08

March – 06 July 2020, Bangladesh.

According to the available data, 26.4% cases were confirmed in people between 31 and 40 years old, 20.5% in the age

group of 21 to 30 years, 19.7% in the age group of 41 to 50 years and 14.7% in the age group between 51 and 60 years

old.

As on 06 July 2020, the highest death rate (30.1%) was reported in the age group of 61 to 70 years old, 24.5% in the

age group between 51 and 60 years and 21.2% in the older age group of 71 and above. Male represented 70% and

80% of the of total reported confirmed COVID-19 cases and deaths respectively.

The table below is showing gender and age distribution the reported confirmed COVID-19 cases and deaths 06

July 2020, Bangladesh.

0%

20%

40%

60%

80%

100%

08/0

3

12/0

3

16/0

3

20/0

3

24/0

3

28/0

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28/0

6

02/0

7

06/0

7

Num

ber

of C

lose

d C

ase

s (N

=78,2

45)

Death% Recovery%

20,000 15,000 10,000 5,000 5,000 10,000 15,000

0 - 10

11 - 20

21 - 30

31 - 40

41 - 50

51 - 60

61 - 70

71 - 80

> 80

Cases Male

400 300 200 100 100 200 300

0 - 10

11 - 20

21 - 30

31 - 40

41 - 50

51 - 60

61 - 70

71 - 80

> 80

DeathsFemale

0 0

1.1% 1.2% 0.2% 0.3%

2.6%

13.4%

19.2%

14.4%

10.7%

5.6%

2.0%

0.6%

2.5%

7.1%

7.2%

5.2%

4.0%

2.2%

0.7%

0.3%

70% 80% 20% 30%

0.5%

1.7%

5.2%

9.6%

20.7%

24.5%

13.8%

3.9%

0.6%

1.3%

2.3%

2.0%

4.2%

5.6%

2.2%

1.2%

6 | P a g e


As of 05 July 2020, geographical distribution of confirmed reported COVID-19 cases was available on 98% of cases

(162,418/165,618). Of all cases, 14.7% were reported from Chattogram division, 4.2% - from Rajshahi division, 3.3%

- from Khulna division, 3.0% - from Sylhet division, 2.1% - from Mymensingh division, 2.1% - from Rangpur division,

and 2.0% - from Barisal division.

The figure below is showing the daily distribution of reported confirmed COVID-19 cases per division (except

Dhaka), 16 April – 05 July 2020, Bangladesh.

Available data allows us to see how quickly the number of confirmed cases increased in different divisions in Bangladesh

by looking at the case doubling time in each division.

As of 05 July 2020, case doubling time is 7.5 days in Dhaka division: 7.9 days in Chattogram; in Khulna, Sylhet and

Rajshahi divisions – 8.0-8.5 days, in Rangpur, Mymensingh and Barisal divisions – 10.0 days.

The figure below is showing the case-doubling time of COVID-19 confirmed cases in all divisions starting from

the day each reported 10 confirmed cases, 06 July 2020, Bangladesh.

0

200

400

600

800

1,000

1,200

1,400

1,600

1,800

2,000

16/0

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Num

ber

of C

ase

s

Chattogram Mymensingh Rangpur Sylhet Rajshahi Khulna Barishal

10

100

1,000

10,000

100,000

0 10 20 30 40 50 60 70 80 90 100

Num

ber

of C

ase

s

Days since 10th Confirm Case

BSL CTG DHK KLN

MYM RSH RNP SYT

D2 D3 D5D8

D9

D15

D4 D6

D10

D12

D20

D40

D1

7 | P a g e


Case doubling time has increased in Dhaka city from 7 days in the last week to 7.5 days this week. Case are doubling

in Dhaka district and Faridpur district in 10 Days, Gazipur, Narayanganj, Munshiganj and Kishoreganj districts are

doubling at 11-day rate.

The figure below is showing the growth of COVID-19 confirmed cases in all districts of Dhaka division starting

from the day each reported 10 confirmed cases, 06 July 2020, Bangladesh.

In Chattogram division by 06 July 2020 case doubling time has increased in Chattogram district from 8 days in the

previous week to 8.5 days this week. Noakhali district shows 9 days, Cumilla and Cox’s Bazar district – 9.5 days, in

Chandpur, Laxmipur and Brahmanbaria districts the number of cases is doubling in more than 11 days.

The figure below is showing the growth of COVID-19 confirmed cases in all districts of Chattogram division

starting from the day each reported 10 confirmed cases, 06 July 2020, Bangladesh.

10

100

1,000

10,000

100,000

0 10 20 30 40 50 60 70 80 90 100

Num

ber

of C

ase

s


Dhaka (District) Dhaka City

Faridpur Gazipur

Kishoreganj Munshiganj

Narayanganj

D1 D2 D3 D5D8

D15

D4 D6

D10

D12

D20

D40

D9

10

100

1,000

10,000

100,000

0 10 20 30 40 50 60 70 80 90 100

Num

ber

of C

ase

s


Brahmanbaria Chandpur Chattogram

Cox's Bazar Cumilla Lakshmipur

Noakhali

D1 D2 D3 D5D8

D15

D4 D6 D7

D10

D12

D20

D40

8 | P a g e


The figures below are showing the daily distribution of reported confirmed COVID-19 cases and rolling three-

days average per division, 16 April – 05 July 2020, Bangladesh.

0

500

1,000

1,500

2,000

2,500

3,000

16/0

4

20/0

4

24/0

4

28/0

4

02/0

5

06/0

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10/0

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05/0

7

Dhaka 3 per. Mov. Avg. (Dhaka)

0

150

300

450

600

750

900

16/0

4

20/0

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24/0

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28/0

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02/0

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05/0

7

Chattogram 3 per. Mov. Avg. (Chattogram)

0

50

100

150

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250

300

350

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450

500

16/0

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20/0

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24/0

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01/0

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05/0

7

Rajshahi 3 per. Mov. Avg. (Rajshahi)

0

50

100

150

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250

300

350

400

16/0

4

20/0

4

24/0

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28/0

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7

Khulna 3 per. Mov. Avg. (Khulna)

9 | P a g e


0

50

100

150

200

250

30016/0

4

20/0

4

24/0

4

28/0

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Rangpur 3 per. Mov. Avg. (Rangpur)

0

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300

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Sylhet 3 per. Mov. Avg. (Sylhet)

0

30

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90

120

150

180

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20/0

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Mymensingh 3 per. Mov. Avg. (Mymensingh)

0

30

60

90

120

150

180

16/0

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Barishal 3 per. Mov. Avg. (Barishal)

10 | P a g e


The overall COVID-19 attack rate (the total number of cases divided by the total population) in Bangladesh has been on

a steady increase since the first reported confirmed COVID-19 case on 08 March 2020. On 06 July, Bangladesh attack

rate (AR) is 972.4 per 1 million and 100% (64/64) of districts with the total population of 170,306,468 people have

reported confirmed COVID-19 cases. In the current week (epidemiological week 27), COVID-19 weekly AR increased by

17.9%, in comparison to the previous week (954 and 659 respectively).

The figure below is showing the weekly COVID-19 attack rate, 08 March – 06 July 2020, Bangladesh.

According to the available data, the highest AR continues to be observed in the Dhaka division (2,586.5/1,000,000).

Within the Dhaka division, Dhaka city has the highest AR (10,467.5/1,000,000) followed by Narayanganj district

(1,527.1), Munshiganj (1,316.4), Faridpur (1,080.6), Gazipur (922.6), Madaripur (603.5), Gopalganj (576.4), Dhaka

district (561.9), ), Shariatpur (488.8), Kishoreganj (469.7), Rajbari (453.6), Manikganj (378.9), and the lowest AR 175.3

was reported from Tangail district.

The 2nd

highest COVID-19 AR is reported from Chattogram division (711.1/1,000,000), the AR in all the 11 districts is

over 300 per million. Within the division, Chattogram district reported the highest AR (1,098.1/1,000,000) followed by

Cox’s Bazar district (1,021.2), Bandarban (888.6), Noakhali (616.1), Cumilla (606.6), Feni (531.4), Rangamati (515.2),

Lakshmipur (463.2), Chandpur (362.7), and the lowest AR 350.8 was reported from Brahmanbaria District.

The 3rd

highest AR in the country was reported from Sylhet division (411.5/1,000,000) with the highest AR in Sylhet

district (631.2/100,0000) followed by Sunamganj (356.1), Habiganj (298.0), and Maulvibazar (213.3) district.

Barishal division has taken the fourth highest in the overall AR with 336.0/1,000,000 with the highest AR in Barishal

district (613.2/1,000,000) followed by Jhalokathi (299.8), Barguna (286.1), Patuakhali (282.5), Pirojpur (186.9) and the

lowest 151.9 in Bhola district.

Rajshahi division has overall AR (314.3/1,000,000) with the highest AR in Bogura district (826.7/1000000), followed by

Joypurhat (421.2), Rajshahi (352.6), Natore (277.0), Pabna (159.2), and Sirajganj (171.2), Chapainawabganj (125.8);

while AR in Naogaon districts is less than 40.0/1,000,000.

In Khulna division the overall AR is 287.9/1,000,00 while the highest AR district is Khulna district (691.3/1000000)

followed by Jhenaidah, (351.0), Kushtia (265.9), Narail (249.6), Chuadanga (227.5), Jashore (210.5), Satkhira (140.5),

Bagerhat (127.8) and the lowest 112.3 in Meherpur district.

0.0

1

0.0

2

0.1

0.3

1 4 14 32 56 8

6 131 1

97 2

77

386

514

659

809

954

0

100

200

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600

700

800

900

1,000

1,100


Weekl

y A

ttack

Rate

per

Millio

n

Attack Rate

TOT/C/M

Poly. ( Attack Rate

TOT/C/M )

11 | P a g e


Although Mymensingh division reported an overall AR of 261.7/1,000,00, Mymensingh district reported high AR

(329.71000000), followed by Jamalpur (232.8), Netrakona (205.6) and Sherpur (147.0).

Rangpur division reported the lowest AR in the country (179.8/1,000,000). Within the division Rangpur district having

the highest AR (313.5/1000000) followed by Dinajpur (209.0), Nilphamari (186.8), Thakurgaon (137.5) and Panchagarh

(126.7), Lalmonirhat (104.4) and Kurigram (86.2).

The following figure is showing the COVID-19 attack rate per 1,000,000 population in selected divisions, 16 April

- 06 July 2020, Bangladesh.

Growth factor (every day's new cases / new cases on the previous day) between 0 and 1 indicates a decline; when it is

above 1 it signals an increase, and if is persistently above 1 this could signify exponential growth. On April 3, the Growth

factor (GF) for COVID-19 cases in Bangladesh reached the highest of 2.5, the GF was above 2 on 9 and 12 April. Since

the beginning of June 2020, the GF has been within the range of 0.8 – 1.2 and on 06 July 2020, it is 1.17.

The figure below is showing the Growth Factor of daily confirmed COVID-19 cases, 08 March – 06 July 2020,

Bangladesh.

0

100

200

300

400

500

600

700

800

16/0

4

20/0

4

24/0

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02/0

5

06/0

5

10/0

5

14/0

5

18/0

5

22/0

5

26/0

5

30/0

5

03/0

6

07/0

6

11/0

6

15/0

6

19/0

6

23/0

6

27/0

6

01/0

7

05/0

7

Att

ack R

ate

/1,0

00,0

00

CTG RNP KLN MYM BSL RSH SYT

0.0

0.5

1.0

1.5

2.0

2.5

3.0

08/0

3

12/0

3

16/0

3

20/0

3

24/0

3

28/0

3

01/0

4

05/0

4

09/0

4

13/0

4

17/0

4

21/0

4

25/0

4

29/0

4

03/0

5

07/0

5

11/0

5

15/0

5

19/0

5

23/0

5

27/0

5

31/0

5

04/0

6

08/0

6

12/0

6

16/0

6

20/0

6

24/0

6

28/0

6

02/0

7

06/0

7

Gro

wth

Fact

or

12 | P a g e


As of 06 July 2020, according to the IEDCR, 863,307 COVID-19 tests with the overall positivity rate of 22.4% were

conducted in Bangladesh by 73 laboratories (39) laboratories in Dhaka city and (34) laboratories in outside Dhaka. The

latest laboratories, which have started the testing: in Dhaka - Universal Medical College Hospital Ltd., National Institute

of Biotechnology (NIB) and DNA Lab Limited. Outside Dhaka - International Medical College & Hospital, Gazipur. 62.5%

(537,810/863,307) of all samples were tested by laboratories in the Dhaka city, and 37.5% (322,497) - outside Dhaka.

The graph below is showing the weekly and cumulative number of COVID-19 conducted tests, 08 March – 06 July

2020, Bangladesh.

COVID-19 testing coverage has been gradually increasing in Bangladesh, reaching now 5,096/1,000,000: now almost

reached Sri Lanka (5,160/1,000,000) but is lower than Thailand (8,648/1,000,000), India (7,093/1,000,000), Nepal

(18,802/1,000,000), Malaysia (24,647/1,000,000) and Maldives (99,645/1,000,000).

The graph below is showing the daily, cumulative number of COVID-19 and tests per 1,000,000 population, 08

March – 06 July 2020, Bangladesh.

0

1000

2000

3000

4000

5000

6000

7000

0

3000

6000

9000

12000

15000

18000

21000

08-0

3

12-0

3

16-0

3

20-0

3

24-0

3

28-0

3

01-0

4

05-0

4

09-0

4

13-0

4

17-0

4

21-0

4

25-0

4

29-0

4

03-0

5

07-0

5

11-0

5

15-0

5

19-0

5

23-0

5

27-0

5

31-0

5

04-0

6

08-0

6

12-0

6

16-0

6

20-0

6

24-0

6

28-0

6

02-0

7

06-0

7

Test

s p

er

Millio

m

Num

ber

of Test

s (N

=863,3

07)

# Test # Cases Tests/1,000,000 Population

0 T

200 T

400 T

600 T

800 T

1,000 T

10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

Epi Week

Tests N =

Positive N =

08 March 2020

First Bangladesh case reported

863 Thousand

As of 06 July 2020

165,618

863,307

234 368 786 1,774 6,577 14,172 22,76434,845

41,123

115,865

52,821

68,175

65,347

89,057

106,478

110,699

118,033

13 | P a g e


The map below is showing the Dhaka city COVID-19 laboratories, number of cases and attack rate, 06

July 2020, Bangladesh.

14 | P a g e


As of 06 July 2020, the overall case doubling time in Bangladesh remains six and half (6.5) days.

Available data allows us to see how quickly the number of confirmed cases increased in Bangladesh and some other

countries in the WHO South-East Asia region: India, Indonesia, Thailand and Sri Lanka.

The figure below is showing the growth of COVID-19 confirmed cases in selected South East Asian countries

starting from the day they reported 100 confirmed cases, 06 July 2020.

As of 06 July 2020, the death doubling time in Bangladesh is twelve (12.0) days as of 06 July 2020, one day more than

in the previous update on 29 June 2020.

Available data allows us to see how quickly the number of confirmed deaths increased in Bangladesh and some other

countries in the WHO South-East Asia region: India, Indonesia, Thailand and Sri Lanka

The figure below is showing the growth of COVID-19 confirmed deaths in selected South East Asian countries

starting from the day they reported 100 confirmed cases, 06 July 2020.

100

1000

10000

100000

1000000

0 10 20 30 40 50 60 70 80 90 100 110

Num

ber

of C

ase

s


India Indonesia

Malaysia Sri Lanka

Thailand Bangladesh

D1 D2 D3 D4 D5 D7

D40

D20

D15 D12

D10

D8

5

50

500

5000

0 10 20 30 40 50 60 70 80 90 100 110

Num

ber

of D

eath

s

Days since 5th Confirm Death

India Indonesia

Malaysia Sri Lanka

Thailand Bangladesh

D1 D2 D3 D5D4 D6 D7 D8

D10

D12

D15

D20

D40

15 | P a g e


4. Contact Tracing, Points of Entry (PoEs) and Quarantine

According to the DGHS, as of 06 July 2020, the current institutional quarantine capacity in the country is represented by

629 centres across 64 districts, which can receive 31,991 persons. A total of 19,912 individuals were placed in quarantine

facilities and of them 15,049 (75.6%) have been already released. By 06 July 2020, in total 31,594 individuals were

isolated in designated health facilitates all over the country, of them 14,755 (46.7%) have been released, and 16,839

(53.3%) are presently in isolation facilities which is 17.2% increase than the last week.

The highest number of people (6,547) in quarantine facilities was reported on 24 April 2020 while presently, the number

reduced to 4,864. Between 17 March to 06 July 2020, total 359,258 individuals were placed under home quarantine all

the over the county and to date 83.6% (300,275/359,258) have been already released. Remaining 16.4% (58,983

individuals) are in home quarantine now.

The figures below are showing the number of individuals in home quarantine and individuals in hospital

isolation, 16 Mach – 06 July 2020, Bangladesh.

1,3

87

8,7

94

15,4

24

23,5

37

19,5

53

16,6

65

12,2

43

5,7

50

1,5

15

3,7

60

12,6

38

26,2

90

30,1

73

61,6

33

64,0

05

62,1

07

59,9

03

56,7

49

55,6

01

56,2

95

36,6

32

36,0

34

34,2

20

38,1

65

32,1

59

42,0

08

44,0

59

46,0

85

48,8

83

51,2

43

51,6

45

52,3

91

54,6

16

56,6

10

55,4

65

54,2

54

53,6

35

52,0

71

53,1

80

55,5

49

57,2

37

57,9

06

58,6

42

59,1

67

59,2

26

60,0

02

59,7

90

59,5

45

60,3

97

59,3

11

58,9

70

59,6

81

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

16/0

3

20/0

3

24/0

3

28/0

3

01/0

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05/0

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09/0

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13/0

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17/0

4

21/0

4

25/0

4

29/0

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03/0

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07/0

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11/0

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15/0

5

19/0

5

23/0

5

27/0

5

31/0

5

04/0

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12/0

6

16/0

6

20/0

6

24/0

6

28/0

6

02/0

7

06/0

7

Presently in Home Quarantine Total Home Quarantined Total Home Released

1,6

36

1,6

94

1,7

94

1,7

71

1,8

74

2,0

17

2,1

15

2,2

36

2,3

61

2,4

35

2,5

70

2,7

48

3,0

46

3,2

48

3,3

83

3,6

16

3,8

16

3,8

97

4,0

60

4,3

05

4,4

64

4,6

53

4,7

70

4,9

94

4,9

84

5,1

40

5,5

29

5,7

94

6,0

21

6,2

40

6,4

98

6,7

54

6,9

46

7,1

62

7,3

99

7,5

52

7,8

93

8,2

43

8,7

61

9,0

12

9,3

40

9,7

58

10,0

26

10,3

02

10,7

52

11,0

26

11,4

74

11,9

15

12,1

90

12,4

67

12,9

27

13,1

55

13,4

29

13,8

00

14,2

67

14,5

23

14,9

69

15,1

47

15,5

47

15,7

55

15,9

47

16,4

49

16,7

15

16,8

39

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

03/0

5

07/0

5

11/0

5

15/0

5

19/0

5

23/0

5

27/0

5

31/0

5

04/0

6

08/0

6

12/0

6

16/0

6

20/0

6

24/0

6

28/0

6

02/0

7

06/0

7

Presently in Isolation Hospital Isolation Released from Isolation

16 | P a g e


5. Case Management and Infection Control

On 2 and 6 July DGDA hosted two consultative meetings on minimum testing requirements of fabric masks for

community use, in the context of COVID-19. The purpose of the consultative meeting was to discuss the technical

aspects related to specifications and quality of fabric masks intended for use by the general public. The discussion was

based on a draft list of minimum testing requirements developed by the technical working group supported by USAID

and JICA and including technical experts from BUET, icddr,b and Japanese inspection firm K2, and technically led by

WHO. Participants included technical experts from laboratories approved by DGDA for quality testing of personal

protective equipment (PPE). Setting the specifications and testing requirements of cloth masks has become an urgent

priority as worldwide the use of masks is mandated or encouraged in many countries. WHO has also issued technical

guidance on the use of masks in the community. The consultative meeting discussed several issues related to the

Bangladesh context including types of fabric available, capacity of local testing laboratories, safety levels of chemicals

used in treating fabrics, design of masks and labelling information. A visual inspection checklist is also under

development by K2 to ensure the adherence of the bulk production with the technical specifications claimed by the

manufacturer. A final stakeholder consultation is planned with the manufacturers to capture any input from their side n

the requirements. DGDA aims to publish the requirements early next week. Full document:

https://apps.who.int/iris/rest/bitstreams/1279750/retrieve.

Technical support continues with local manufacturers of PPE aiming to improve adherence to the WHO requirements,

specified in the WHO disease commodity package for COVID-19. Since the beginning of the COVID-19 pandemic,

local textile and ready-made-garments manufacturers have taken initiative to repurpose their manufacturing lines to

produce different PPE items including coveralls, gowns, surgical masks and respirators. Several manufacturers have

refined their methods and are now exporting to the US and European markets. This gives a valuable opportunity for

ensuring the products locally available are compliant and with international standards.

DGHS has issued further guidance to health facilities on classification of PPE according to level of protection approved

by DGDA for the PPE products. The exercise involves capacity building of concerned staff at health facilities on the role

of PPE as part of the infection prevention and control practices. An important factor is identification of PPE according to

its classification. Supply chain solutions are needed to ensure appropriate identification and distribution of PPE at the

user-level, as many of the items look similar in design and colour and may not be easily identifiable to the user. This is

especially important for health professionals involved in surgical procedures, emergency care or other healthcare

activities which involve risk of exposure to body fluids, as the requirement of splash resistance is available in level 3 and

4 PPE. For other health care activities, in the context of COVID-19, the WHO DCP accepts all levels of PPE conforming

with the required standards.

WHO published interim guidance on Biomedical equipment for COVID-19 case management - inventory tool.

Countries can use this tool to collect in-depth facility inventories of biomedical equipment re-allocation, procurement

and planning for COVID-19 case management. The survey assesses quantified availability and the causes for non-

functioning of different sources of oxygen delivery and supply systems to the patient in order to determine priorities

and re-allocation requirements in accordance with needs. Content areas include: oxygen supplies and equipment;

respiratory instruments and equipment; suction devices; ventilators; and autoclaves/sterilizers. Target audiences include

facility managers; clinical decision-makers; procurement officers; planning officers; biomedical engineers; and

infrastructure engineers. Full document: https://apps.who.int/iris/rest/bitstreams/1284105/retrieve.

The Emergency Use Listing (EUL) scope for in vitro diagnostics (IVDs) to detect SARS-CoV-2 has been expanded

to include antibody detection enzyme immunoassays. The following IVDs are therefore eligible for EUL submission:

Assays for the detection of SARS-CoV-2 nucleic acid; Rapid diagnostic tests for the detection of IgM/IgG to SARS-CoV-

2; and Rapid diagnostic tests for the detection of SARS-CoV-2 antigens. To date, 47 expressions of interest for NAT

assays, 12 for antibody detection RDTs have been received so far. 13 products have been listed as eligible for WHO

procurement based on their compliance with WHO EUL requirements. Six products have been identified as not eligible

for procurement following the review. The WHO EUL assessments and support to in-country authorization or listing of

IVDs for COVID-19 are at the core of WHO’s support to market readiness and come to complement partners’ efforts

towards equal and adequate access to diagnostic tools. Updated EUL is available online at

https://www.who.int/diagnostics_laboratory/EUL/en/.

https://apps.who.int/iris/rest/bitstreams/1279750/retrieve

17 | P a g e


Contact: Dr Bardan Jung Rana, WHO Representative to Bangladesh, [email protected]

Dr Hammam El Sakka, Senior Medical Epidemiologist, Team Leader, WHE, COVID-19 IM, WHO-BAN, [email protected]

6. Risk Communication and Public Awareness

Risk Communication and Community Engagement (RCCE) supports the DGHS in planning and execution of two media

information campaigns for better informing population about COVID-19 and the prevention measures. One of the

campaigns regards the use of cloth masks, importance and guidelines for correct use as well as for making masks at

home. The second campaign is an overarching communication and information project aimed at informing the

individuals and communities about generic prevention measures as well as for preventing stigma and discrimination,

emphasizing the role of communities not only individuals in addressing COVID. Basic information regarding personal

and community protective measures are already disseminated through RCCE partners social media platforms as well as

through community level channels such as mosques, posters distribution or community health workers. Both campaigns

are scheduled to be expanded in the upcoming period to further include mainstream media distribution (Radio, TV)

which will complement the social media and community channels and will ensure a wider distribution of the information.

7. Useful COVID-19 links:

WHO Bangladesh COVID-19 Situation Reports: https://www.who.int/bangladesh/emergencies/coronavirus-disease-

(covid-19)-update/coronavirus-disease-(covid-2019)-bangladesh-situation-reports

COVID-19 Situation in the WHO South-East Asia Region: https://www.who.int/southeastasia/outbreaks-and-

emergencies/novel-coronavirus-2019

Latest global WHO Situation Report # 167 as of 05 July 2020: https://www.who.int/emergencies/diseases/novel-

coronavirus-2019/situation-reports

WHO Bangladesh awareness and risk communication materials in Bengali:

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update

EPI-WIN: WHO information network for epidemics: https://www.who.int/teams/risk-communication

COVID-19 updates from the Directorate General of Health Services, Ministry of Health and Family Welfare,

Government of The People’s Republic of Bangladesh: https://dghs.gov.bd/index.php/en/home/5343-covid-19-update

Institute of Epidemiology, Disease Control and Research (IEDCR): https://www.iedcr.gov.bd/

mailto:[email protected]

mailto:[email protected]

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update/coronavirus-disease-(covid-2019)-bangladesh-situation-reports

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update/coronavirus-disease-(covid-2019)-bangladesh-situation-reports

https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports

https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports

https://www.who.int/bangladesh/emergencies/coronavirus-disease-(covid-19)-update

https://www.who.int/teams/risk-communication

https://dghs.gov.bd/index.php/en/home/5343-covid-19-update

https://www.iedcr.gov.bd/

Morbidity and Mortality #19

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