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Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |1 of 18
Analysing the impact of the joint intervention of Pune
Municipal Corporation (PMC) and Bharatiya Jain
Sanghatana (BJS) in the fight against COVID-19 in Pune
City – Mobile Dispensary SEVA (MDS)
Summary: This report looks at the health intervention data from MDS to assess the extent
of the impact that extensive screening and testing has had on the control of COVID-19 in
Pune. It analyses data on the screenings, suspected, and positive cases detected by MDS to
look at the effect of their targeted interventions. Within this, it specifically looks at the
effects of casting a wider testing net, early detection of cases, and the effect of this on the
deaths due to COVID.
1. Background
India touched 4.4 lakh COVID-19 case on 23rd
June 2020. Pune city had the 6th
highest
number with 12,686 cases, 4,496 active cases, and 518 deaths.
The huge impact that the pandemic has had on the health and economy is evidently clear
and becoming increasingly severe. To save lives and recover economically, it is crucial to
get the spread of cases under control. Governments around the world have been working
on this extensively. Experience from around the world has shown that best-practice COVID
response needs a multi-pronged strategy that includes intensive screening, testing,
isolation and contact tracing.
The World Health Organization (WHO) recommends that health systems need to be able to
"detect, test, isolate and treat every case and trace every contact" in order to get disease
transmission under control.i
WHO also observes that the ‘hotspots’ specifically need to be
managed. In Indian cities, slum settlements with a large density and poor WASH
infrastructure have emerged as the major hotspots. Kerala had handled its first phase
through an arduous, but time tested method of extensive screening, isolation, testing and
contact tracing.ii
CPC Analytics through this report aims to understand the intervention of grassroots
pandemic response teams that focus on the process and maximizes the coverage of the
screening net. It aims to understand if this helps control the spread of disease and if early
detection prevents avoidable deaths.
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |2 of 18
Figure 1: Number of active cases, cured and deaths in Pune city as of 22nd June (total
of 12,686 cases)- Source: PMC1
12,686 cases consist of 4,496 active cases, 7,672 recoveries/discharged and 518 deaths. Red line shows
the 7-day average growth rate of cases. In the figure below, RR refers to the recovery rate, CFR refers to
the case fatality rate and GR refers to the 7-day growth rate. The vertical lines show various phases of the
lockdown and the end of MDS work in Pune (13
th
June).
Source: Pune Mayor Twitter Handle
Date
Cases in PMC- Source PMC
Total cases Active Recovered Deaths
7 day Growth rate of
cases
25
th
March- lockdown 1.0 20 18 2 0 8%
15
th
April- Lockdown 2.0 377 307 29 41 11.82%
4
th
May- Lockdown 3.0 1,878 1,288 483 107 6.41%
18
th
May- Lockdown 4.0 3,598 1,599 1,800 199 4.92%
3
rd
June- Unlock 1.0 7,089 2,389 4,348 352 3.62%
13
th
June- End of BJS MDS
work
9,336 6,087 2,810 439 2.75%
22nd
June 12,686 4,496 7,672 518 3.63%
1
Twitter Handle of Pune Mayor Murlidhar Mohol- https://twitter.com/mohol_murlidhar
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |3 of 18
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |4 of 18
Methodology
To understand the impact of MDS interventions, we looked at data on testing, screening,
detection of positive cases.
The central questions were to understand-
 What is the impact of early and aggressive screening, followed by testing and
isolation on the number and spread of cases?
 What is the impact of these methods especially in hotspot areas such as slum
settlements?
 What is the age distribution of positive and deceased patients with early screening
and testing ?
2. Overview of PMC-BJS initiative in Pune city
Timeline of events
On 1st
April, MDS started screening in Pune City using the Mobile Dispensary Seva (MDS)
Vans. Through the vans, they screened 6,40,611 people, found 8,880 suspect cases, out of
which 483 people were found positive. Additionally, they conducted 2,170 swab tests
through which 325 positive cases were found. In total, MDS found 808 positive cases in
Pune. Their intervention targeted hotspots in the cities and areas with large number of
cases.
BJS work in
Yerwada (14th
May onwards)
13th June:
End of work
26 days
BJS starts screening and
recommending suspect
cases to PMC for
testing.
§ BJS screened and referred
more than 90% of the
positive cases in Patil
Estate
§ The intervention helped
flatten the curve- only 3
new cases in the last
month
§ As of 13th June, BJS
detected 253 cases
through testing in
Yerwada
§ This was 35% of all
positive cases in this
period
Total of 6.4 lakh
screenings, 8,880
suspect cases
and detected 808
positive cases
1st April- BJS
starts work
BJS work in Patil
Estate (13th- 9th May)
Mar 24
Start of
Lockdown
30 days
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |5 of 18
Summary of work done by BJS
SCREENING TEST and POSITIVE
6,40,611
people screened
92 Vans
4,176 trips
8,800
people referred
2,170
samples collected
808
positive patients found
Data for screened and suspect: 1st
April to 13th
June
Data for swab testing- 14th
May-12th
June
808
positive patients
8,880
people
referred
6,40,611
people
screened
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |6 of 18
Geographical spread of MDS interventions
Figure 2: Ward wise number of screening, referred patients, positive and swab tests
conducted by MDS (As of 13th June 2020)
Map 2.1. shows the total number of screenings done ward wise by MDS. Maximum screenings were done
in Yerwada-Kalas Dhanori, followed by Kasba Vishrambaugwada and Sinhagad road
Map 2.2. shows the total number of referrals for testing made in each ward by MDS. Maximum suspect
cases were found in Shivajinagar-Ghole Road, followed by Bhavani Peth and Kasba Vishrambaugwada
Map 2.3. shows the total number of patients who were detected as COVID positive. Maximum positive
cases were found in Shivajinagar-Ghole Road (274), followed by Yerwada-Kalas-Dhanori (253) and Kasba
Vishrambaugwada
Yerwada-Kalas-
Dhanori
82761
Shivajinagar-
Ghole Road
36307
Kasba –
Vishrambaugwada
60690
Sinhagad Road
56303
Bibvewadi
41185
Nagar Road -
Vadgaonsheri
34549
Dhole Patil
34
6,40,611 screenings
Yerwada-Kalas-
Dhanori
933
Shivajinagar-
Ghole Road
2939
Kasba –
Vishrambaugwada
807
Sinhagad Road
592
Bhavani Peth
1026
Bibvewadi
471
8,880 people referred
Yerwada-Kalas-
Dhanori
253
Shivajinagar-
Ghole Road
274
Kasba –
Vishrambaugwada
53
Sinhagad Road
44
Dhole Patil Road
34
808 tested positive through BJS
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |7 of 18
3. Impact of BJS Mobile Dispensary Seva Vans
Mobile Dispensary Seva (MDS) Vans were deployed in Pune to do extensive door-to-door
screenings and find positive cases in communities. MDS vans screened people and referred
suspect cases to the PMC for isolation and testing. Through this, cases could be found and
isolated in early stages and help prevent community transmission.
To understand the proportion of all the MDS work in Pune done by BJS, the data of 8th
June
was considered2
. As of 8th
June, in the whole of Pune city, 6.92 lakh people were screened,
9,092 people referred, out of which 484 were found to be COVID positive. Out of this, BJS
was responsible for screening 6.25 lakh people and referring 8300 people.
Thus, through MDS vans, BJS did 90.3% of the screenings and referred 91.2% of the
suspect cases.
Image below is from PMC COVID-19 Response War Room dashboard report of 9th June
2020 (data in the report was till 8th
June)
2
8
th
June was selected because PMC war room dashboard data that showed the city wide data for Pune was available
for 8
th
June. All BJS figures were also taken till 8
th
June for enabling comparision
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |8 of 18
Figure 3: MDS data- percentage of screenings, suspect referrals and positives found
by BJS
Parameter
i. By BJS MDS
(8th
June)
ii. By Others through
MDS (8th
June)
Total in PMC (i+ii)
(8th
June)
Screenings 6.25 lakh 67,000 6.92 lakh
Number of suspect
cases
8,300 792 9,092
This was done with the joint effort of BJS, PMC and the PCB (Pune Cantonment Board) and
KCB. Out of 2,938 doctor trips in Pune city, 2116 had doctors sponsored by BJS (71.3%), 714
by PMC (24.5%) and 103 by PCB (3.4%).
4. Impact of early and extensive screening
Early and aggressive screening, followed by testing and isolation plays a vital role in
limiting the number of cases and the spread of the virus. If early detection does not
happen, the infected person could spread the disease more and it could increase the
chance of death due to late treatment3
. Whether the intervention by MDS was effective or
not in “breaking the chain” can be understood by tracking the number of cases in a
selected location.
To analyse this, cases in wards with maximum positive cases was considered (see Figure 2)-
Shivajinagar-Ghole Road was selected because they had 2,939 referrals out of which 274
3
Data from Mumbai tells that 60% of people who die, die within 4 days of being diagnosed or identified, because
lack of oxygen has already affected for enough time to affect organs. People detected early have a much higher chance
of recovery
10%
90%
Screenings done in Pune
by others by BJS
9%
91%
Suspect cases in Pune
by others by BJS
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |9 of 18
were positive). Within this, the case study of Patil Estate was selected for three reasons- (i).
The large number of screenings done and positives found by MDS in this location4
(ii). It
had the maximum cases at the beginning of the analysis5
(iii). It has slum settlements
where the control of the disease is tough
BJS MDV worked in Patil Estate from 13th
April to 9th
May. Figure 3 shows the spread of
cases within Patil Estate. As can be observed in the map, several of the cases were detected
in gullys and lanes of the slum settlements which have highly congested living conditions
and poor access to WASH infrastructure.
Figure 4: Analysis of interventions in Patil Estate
Map shows Patil Estate and cases in that area
Grey polygons show slums, red points show the location of positive cases, yellow points show suspect
cases
Source for slum shapefiles: Mundhe, N, 2019.
Figure 5 (below) shows that 90% of positive cases detected in Patil Estate were found by BJS
MDS. They helped drastic reduction in growth rate from 37% to nearly 0%.
Figure 5: Observing the trend of cases in Patil Estate
Black line shows the total number of cases in Patil estate, Blue line shows the total number of patients
referred by BJS MDS who were detected as COVID positive | Red Line shows the seven day average
growth rate of cases | Graph shows that patients screened and referred by BJS MDS formed more than 90%
of the total positive cases from Patil Estate | Graph also shows that the number of cases in flattened after
9
th
May
4
BJS did a total of 6665 screenings, found 1692 suspects and detected 156 out of the 173 (90%) of the positives in the
locality
5
At one point, Patil Estate had 63.2% of the cases in Shivajinagar-Ghole Road ward [on 25
th
April, the ward had 133
cases out of which 84 was from Patil Estate. 25
th
April is selected because it is the earliest observation available for Patil
Estate]
13th June
Ward: Shivajinagar-Ghole Road
Prabhag: Pune University - Wakadewadi
Location: PATIL ESTATE
Total Positive in Patil Estate: 173
Positives detected by BJS MDS= 156 (90%)
Number of suspected cases found by BJS:
1,692
Number of screenings done by BJS: 6,665
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |10 of 18
Source for PMC data on Patil Estate: Twitter handle @SidShirole6
Data for Patil Estate was not available from 11th
Apr to 23rd
Apr- average values were taken (dotted line)
Date Positive cases in
Patil Estate as per
PMC data
Positive cases
found by BJS MDS
in Patil Estate
% of positive
cases found by
MDS
Average 7-dat
growth rate
25-Apr 84 72 86% 11%
1-May 152 139 91% 10%
7-May 159 143 90% 1%
14-May 172 156 91% 1%
21-May 172 156 91% 0%
28-May 173 156 90% 0%
4-Jun 173 156 90% 0%
9-Jun 173 156 90% 0%
13-Jun 173 156 90% 0%
Findings
At the beginning of the pandemic, Patil Estate was one of the biggest and fast-growing
hotspots for COVID in Pune, contributing to over 62% of the ward’s cases. Figure 4 shows
that new cases started reducing from the first week of May, average growth rate of cases
reduced from 37% to ~0%, and Patil Estate flattened the curve. In the last one month
(between 13th
May and 13th
June), only 1 new case was detected. The intervention was
hence been extremely effective in breaking the chain and limiting the spread of COVID.
6
Data for 25
th
April- https://twitter.com/SidShirole/status/1253985606365036554
Data for 13
th
June- https://twitter.com/SidShirole/status/1271828412248686592
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |11 of 18
The intervention by BJS MDS helped flatten the curve in an area that had many cases and
slum settlements. The extensive screening and referral method helped early detection,
isolation and breaking the chain.
5. Assessing testing data in Yerwada
Till 13th
June, 8,880 people were referred as suspect patients after screening, and 808
people tested positive through MDS. Figure 2 shows that a large number of positive cases
detected by BJS 253 cases were found in Yerwada-Kalas Dhanori ward.
As per PMC data7
, Yerwada ward has the second highest number of cases in Pune and
within it, Yerwada prabhag has the second highest cases8
. Hence, Yerwada ward was
chosen for analysis.
BJS did extensive work in Yerwada between 14th
May and 13th
June. Figure 5 shows the
distribution of cases (red points) within Yerwada prabhag. As can be observed in the map
(Figure 6), most of the testing was done in the slum settlements in the prabhag (grey
polygons are slum settlements)
Figure 6: Analysis of positive cases in Yerwada
Map shows spread of suspect and positive cases in Yerwada
Grey polygons show slums, red points show the location of positive cases, yellow points show suspect
cases
7
Twitter Handle of Pune Mayor - https://twitter.com/mohol_murlidhar
8
13
th
June source PMC: Yerwada ward had 1075 cases (second only to Dhole Patil Road- 1706 cases). Yerwada prabhag
had 834 cases (second only to Tadiwala Road - Sassoon Hospital prabhag- 1168 cases)
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |12 of 18
Source for slum shapefiles: Mundhe, N, 2019.
Further analysing the daily new cases detected in the ward, it can be observed that 35% of
the positive cases in this period were found through the efforts of MDS (Figure 7). The
growth rate of cases also decreased in this period.
Figure 7: Observing the trend of daily positive cases detected in Yerwada ward from
15th
May to 13th
June
Light blue area shows the daily new positive cases in Yerwada, Dark blue area shows the daily new
positive cases detected by MDS, Red line shows the 5-day growth rate of cases (in secondary axis)| Graph
shows that 35% of the positive cases in Yerwada (between 15-May and 13-June) were detected by MDS |
Graph shows that growth rate of new cases detected has reduced from 42.6% in the start to 6.36% on 13
th
June
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |13 of 18
Source for data: PMC and BJS.
Findings
The growth rate of cases in Yerwada has decreased in the last month. Increased and
targeted testing is particularly required in hotspot wards. Looking at the data, it is found
that-
 Yerwada has the second highest number of cases in Pune city (1,113 cases) and was
growing fast at ~40% at the start of the intervention.
 35% of the positive cases detected in the ward between 15th May and 13th
June
was detected by MDS
 MDS testing was targeted towards the slum settlements in the prabhag to ensure
early identification of cases and reducing transmission
 Two weeks after MDS started intensive work the number of daily new cases has
reduced. The 5-day growth rate of cases has reduced from a high of over 40% in the
start to 15% on 1st
June and 6.36% on 13th
June. The new positive cases in Yerwada
has flattened over time.
Early testing and early detection of positive cases enables early isolation, breaking-the-
chain and lowering the number of deaths. Testing and detection of positive cases
through MDS in Yerwada has reduced the growth rate of cases and the ward shows
early signs of flattening the curve.
6. Mapping the age groups and gender of positive and deceased
patients in PMC
Comparing the age and gender of COVID positive and deceased patients, it can be
observed that
35.17
42.62
26.92
21.3
34.78
31.84
44.15
28.6
31.67
20.5
15.55
8.69
7.45 7.8
6.79 6.36
0
5
10
15
20
25
30
35
40
45
50
0
10
20
30
40
50
60
70
15-May
16-May
17-May
18-May
19-May
20-May
21-May
22-May
23-May
24-May
25-May
26-May
27-May
28-May
29-May
30-May
31-May
01-Jun
02-Jun
03-Jun
04-Jun
05-Jun
06-Jun
07-Jun
08-Jun
09-Jun
10-Jun
11-Jun
12-Jun
13-Jun
Daily positive cases detected by MDS Daily positive cases in Yerwada growth_rate
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |14 of 18
Figure 8: Observing the gender and age of positive and deceased patients in PMC data
and BJS data
Graph 7.1 shows the distribution for PMC: 45% men, 55% women
Graph 7.2 shows the distribution for BJS: 58% men, 42% women for 755 positive cases (data for 755 out of
808 positive cases was available)
Graphs show that while the age distribution of both are roughly the same, the gender distribution in both
is different. Additionally, PMC cases show a case fatality ratio (CFR) of 4.6% whereas BJS data shows a CFR
of 0.4%.
Age group
PMC data – 12th June MDS data
Male Female Deaths Male Female Deaths
0-10 years 228 256 1 32 22 0
10-20 years 439 487 1 49 42 0
20-30 years 803 955 5 124 76 0
228
439
803 785
636
500
370
144 11
256
487
955 1022
804
606
413
199
1
1
5 19
52
78
133
96
24
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0-10
years
10-20
years
20-30
years
30-40
years
40-50
years
50-60
years
60-70
years
70-80
years
80-90
years
90-100
years
Pune city demographic distribution
men women deaths
8777 cases
413 deaths
32
49
124
104
64
34
19
22
42
76
72
43
33
23
0
0
0
0
1
1
1
0
0
50
100
150
200
250
0-10
years
10-20
years
20-30
years
30-40
years
40-50
years
50-60
years
60-70
years
70-80
years
80-90
years
90-100
years
Demographic distribution in the BJS data
men women deaths
755 cases
3 deaths
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |15 of 18
30-40 years 785 1,022 19 104 72 0
40-50 years 636 804 52 64 43 1
50-60 years 500 606 78 34 33 1
60-70 years 370 413 133 19 23 1
70-80 years 144 199 96 7 5 0
80-90 years 38 70 24 2 1 0
90-100 years 11 9 4 0 0 0
TOTAL 3,954 4,821 413 435 317 3
The data on age and gender shows that BJS has identified more men whereas PMC has
identified more women. The Case Fatality Ratio (CFR) for PMC is higher, but more data is
needed to establish the reason for it. PMC data shows a CFR of 4% for age group 40-50, 7%
for 50-60, 15% for 60-70, 21% for 70-80, 20% for 80-90 and 19% for 90-100.
7. Conclusion
The work done by BJS in Pune in targeted locations has significantly aided the fight against
COVID-19. Specifically
 Total of 6.4 lakh screenings, 8,880 referrals and helped detect 808 positive cases
 Of all the screenings, suspects and positive cases found through the Mobile
Dispensary Seva Vans in PMC, BJS MDS did 90.3% of the screenings and referred
91.2% of the suspect cases and found 99.7% of positive cases in Pune
 BJS-MDS interventions have focussed on slum clusters that have emerged as
hotspots due to high density and inadequate WASH infrastructure. They have
helped in early identification of cases in slums which has helped flatten the curve
o BJS screened and referred more than 90% of the positive cases in Patil
Estate
o The work helped reduce the average growth rate of cases from 37% to 0%.
o The extensive screening helped flatten the curve in the Patil Estate hotspot-
only 1 new case in the last month (from 13th
May to 13th
June)
 Till 13th
June, BJS collected 2,253 samples and identified 325 positive cases. Out of
this, maximum were in Yerwada ward. Yerwada had the second highest number of
cases in Pune, and BJS work here is another example of how screening and testing
resulting in reducing the number of cases.
o BJS detected 253 cases in Yerwada ward.
o This was 35% of all positive cases in this period.
o The efforts in Yerwada have reduced the average growth rate of cases from
40% to 6.3% and shows early signs of flattening the curve in Yerwada.
 The CFR of positive patients detected by BJS is considerably lower than the CFR of all
positive patients in PMC. This could be due to early detection of cases.
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |16 of 18
Overall, the extensive screening and referral method helped early detection, isolation and
breaking the chain. The early detection of positive cases has helped control transmission
and would also reduce the number of deaths.
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |17 of 18
APPENDIX
Prabhag wise positive cases found by BJS. First map shows cases in Pune prabhags on 18th
June (source Twitter, MurlidharMohol). Second map shows positive patients detected by BJS
Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |18 of 18
i
https://www.npr.org/sections/goatsandsoda/2020/04/15/834021103/who-sets-6-conditions-for-ending-a-
coronavirus-lockdown
ii
https://www.theguardian.com/commentisfree/2020/apr/21/kerala-indian-state-flattened-coronavirus-
curve
BJS Mobile Dispensary Seva -Impact Assessment

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BJS Mobile Dispensary Seva -Impact Assessment

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  • 2. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |1 of 18 Analysing the impact of the joint intervention of Pune Municipal Corporation (PMC) and Bharatiya Jain Sanghatana (BJS) in the fight against COVID-19 in Pune City – Mobile Dispensary SEVA (MDS) Summary: This report looks at the health intervention data from MDS to assess the extent of the impact that extensive screening and testing has had on the control of COVID-19 in Pune. It analyses data on the screenings, suspected, and positive cases detected by MDS to look at the effect of their targeted interventions. Within this, it specifically looks at the effects of casting a wider testing net, early detection of cases, and the effect of this on the deaths due to COVID. 1. Background India touched 4.4 lakh COVID-19 case on 23rd June 2020. Pune city had the 6th highest number with 12,686 cases, 4,496 active cases, and 518 deaths. The huge impact that the pandemic has had on the health and economy is evidently clear and becoming increasingly severe. To save lives and recover economically, it is crucial to get the spread of cases under control. Governments around the world have been working on this extensively. Experience from around the world has shown that best-practice COVID response needs a multi-pronged strategy that includes intensive screening, testing, isolation and contact tracing. The World Health Organization (WHO) recommends that health systems need to be able to "detect, test, isolate and treat every case and trace every contact" in order to get disease transmission under control.i WHO also observes that the ‘hotspots’ specifically need to be managed. In Indian cities, slum settlements with a large density and poor WASH infrastructure have emerged as the major hotspots. Kerala had handled its first phase through an arduous, but time tested method of extensive screening, isolation, testing and contact tracing.ii CPC Analytics through this report aims to understand the intervention of grassroots pandemic response teams that focus on the process and maximizes the coverage of the screening net. It aims to understand if this helps control the spread of disease and if early detection prevents avoidable deaths.
  • 3. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |2 of 18 Figure 1: Number of active cases, cured and deaths in Pune city as of 22nd June (total of 12,686 cases)- Source: PMC1 12,686 cases consist of 4,496 active cases, 7,672 recoveries/discharged and 518 deaths. Red line shows the 7-day average growth rate of cases. In the figure below, RR refers to the recovery rate, CFR refers to the case fatality rate and GR refers to the 7-day growth rate. The vertical lines show various phases of the lockdown and the end of MDS work in Pune (13 th June). Source: Pune Mayor Twitter Handle Date Cases in PMC- Source PMC Total cases Active Recovered Deaths 7 day Growth rate of cases 25 th March- lockdown 1.0 20 18 2 0 8% 15 th April- Lockdown 2.0 377 307 29 41 11.82% 4 th May- Lockdown 3.0 1,878 1,288 483 107 6.41% 18 th May- Lockdown 4.0 3,598 1,599 1,800 199 4.92% 3 rd June- Unlock 1.0 7,089 2,389 4,348 352 3.62% 13 th June- End of BJS MDS work 9,336 6,087 2,810 439 2.75% 22nd June 12,686 4,496 7,672 518 3.63% 1 Twitter Handle of Pune Mayor Murlidhar Mohol- https://twitter.com/mohol_murlidhar
  • 4. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |3 of 18
  • 5. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |4 of 18 Methodology To understand the impact of MDS interventions, we looked at data on testing, screening, detection of positive cases. The central questions were to understand-  What is the impact of early and aggressive screening, followed by testing and isolation on the number and spread of cases?  What is the impact of these methods especially in hotspot areas such as slum settlements?  What is the age distribution of positive and deceased patients with early screening and testing ? 2. Overview of PMC-BJS initiative in Pune city Timeline of events On 1st April, MDS started screening in Pune City using the Mobile Dispensary Seva (MDS) Vans. Through the vans, they screened 6,40,611 people, found 8,880 suspect cases, out of which 483 people were found positive. Additionally, they conducted 2,170 swab tests through which 325 positive cases were found. In total, MDS found 808 positive cases in Pune. Their intervention targeted hotspots in the cities and areas with large number of cases. BJS work in Yerwada (14th May onwards) 13th June: End of work 26 days BJS starts screening and recommending suspect cases to PMC for testing. § BJS screened and referred more than 90% of the positive cases in Patil Estate § The intervention helped flatten the curve- only 3 new cases in the last month § As of 13th June, BJS detected 253 cases through testing in Yerwada § This was 35% of all positive cases in this period Total of 6.4 lakh screenings, 8,880 suspect cases and detected 808 positive cases 1st April- BJS starts work BJS work in Patil Estate (13th- 9th May) Mar 24 Start of Lockdown 30 days
  • 6. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |5 of 18 Summary of work done by BJS SCREENING TEST and POSITIVE 6,40,611 people screened 92 Vans 4,176 trips 8,800 people referred 2,170 samples collected 808 positive patients found Data for screened and suspect: 1st April to 13th June Data for swab testing- 14th May-12th June 808 positive patients 8,880 people referred 6,40,611 people screened
  • 7. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |6 of 18 Geographical spread of MDS interventions Figure 2: Ward wise number of screening, referred patients, positive and swab tests conducted by MDS (As of 13th June 2020) Map 2.1. shows the total number of screenings done ward wise by MDS. Maximum screenings were done in Yerwada-Kalas Dhanori, followed by Kasba Vishrambaugwada and Sinhagad road Map 2.2. shows the total number of referrals for testing made in each ward by MDS. Maximum suspect cases were found in Shivajinagar-Ghole Road, followed by Bhavani Peth and Kasba Vishrambaugwada Map 2.3. shows the total number of patients who were detected as COVID positive. Maximum positive cases were found in Shivajinagar-Ghole Road (274), followed by Yerwada-Kalas-Dhanori (253) and Kasba Vishrambaugwada Yerwada-Kalas- Dhanori 82761 Shivajinagar- Ghole Road 36307 Kasba – Vishrambaugwada 60690 Sinhagad Road 56303 Bibvewadi 41185 Nagar Road - Vadgaonsheri 34549 Dhole Patil 34 6,40,611 screenings Yerwada-Kalas- Dhanori 933 Shivajinagar- Ghole Road 2939 Kasba – Vishrambaugwada 807 Sinhagad Road 592 Bhavani Peth 1026 Bibvewadi 471 8,880 people referred Yerwada-Kalas- Dhanori 253 Shivajinagar- Ghole Road 274 Kasba – Vishrambaugwada 53 Sinhagad Road 44 Dhole Patil Road 34 808 tested positive through BJS
  • 8. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |7 of 18 3. Impact of BJS Mobile Dispensary Seva Vans Mobile Dispensary Seva (MDS) Vans were deployed in Pune to do extensive door-to-door screenings and find positive cases in communities. MDS vans screened people and referred suspect cases to the PMC for isolation and testing. Through this, cases could be found and isolated in early stages and help prevent community transmission. To understand the proportion of all the MDS work in Pune done by BJS, the data of 8th June was considered2 . As of 8th June, in the whole of Pune city, 6.92 lakh people were screened, 9,092 people referred, out of which 484 were found to be COVID positive. Out of this, BJS was responsible for screening 6.25 lakh people and referring 8300 people. Thus, through MDS vans, BJS did 90.3% of the screenings and referred 91.2% of the suspect cases. Image below is from PMC COVID-19 Response War Room dashboard report of 9th June 2020 (data in the report was till 8th June) 2 8 th June was selected because PMC war room dashboard data that showed the city wide data for Pune was available for 8 th June. All BJS figures were also taken till 8 th June for enabling comparision
  • 9. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |8 of 18 Figure 3: MDS data- percentage of screenings, suspect referrals and positives found by BJS Parameter i. By BJS MDS (8th June) ii. By Others through MDS (8th June) Total in PMC (i+ii) (8th June) Screenings 6.25 lakh 67,000 6.92 lakh Number of suspect cases 8,300 792 9,092 This was done with the joint effort of BJS, PMC and the PCB (Pune Cantonment Board) and KCB. Out of 2,938 doctor trips in Pune city, 2116 had doctors sponsored by BJS (71.3%), 714 by PMC (24.5%) and 103 by PCB (3.4%). 4. Impact of early and extensive screening Early and aggressive screening, followed by testing and isolation plays a vital role in limiting the number of cases and the spread of the virus. If early detection does not happen, the infected person could spread the disease more and it could increase the chance of death due to late treatment3 . Whether the intervention by MDS was effective or not in “breaking the chain” can be understood by tracking the number of cases in a selected location. To analyse this, cases in wards with maximum positive cases was considered (see Figure 2)- Shivajinagar-Ghole Road was selected because they had 2,939 referrals out of which 274 3 Data from Mumbai tells that 60% of people who die, die within 4 days of being diagnosed or identified, because lack of oxygen has already affected for enough time to affect organs. People detected early have a much higher chance of recovery 10% 90% Screenings done in Pune by others by BJS 9% 91% Suspect cases in Pune by others by BJS
  • 10. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |9 of 18 were positive). Within this, the case study of Patil Estate was selected for three reasons- (i). The large number of screenings done and positives found by MDS in this location4 (ii). It had the maximum cases at the beginning of the analysis5 (iii). It has slum settlements where the control of the disease is tough BJS MDV worked in Patil Estate from 13th April to 9th May. Figure 3 shows the spread of cases within Patil Estate. As can be observed in the map, several of the cases were detected in gullys and lanes of the slum settlements which have highly congested living conditions and poor access to WASH infrastructure. Figure 4: Analysis of interventions in Patil Estate Map shows Patil Estate and cases in that area Grey polygons show slums, red points show the location of positive cases, yellow points show suspect cases Source for slum shapefiles: Mundhe, N, 2019. Figure 5 (below) shows that 90% of positive cases detected in Patil Estate were found by BJS MDS. They helped drastic reduction in growth rate from 37% to nearly 0%. Figure 5: Observing the trend of cases in Patil Estate Black line shows the total number of cases in Patil estate, Blue line shows the total number of patients referred by BJS MDS who were detected as COVID positive | Red Line shows the seven day average growth rate of cases | Graph shows that patients screened and referred by BJS MDS formed more than 90% of the total positive cases from Patil Estate | Graph also shows that the number of cases in flattened after 9 th May 4 BJS did a total of 6665 screenings, found 1692 suspects and detected 156 out of the 173 (90%) of the positives in the locality 5 At one point, Patil Estate had 63.2% of the cases in Shivajinagar-Ghole Road ward [on 25 th April, the ward had 133 cases out of which 84 was from Patil Estate. 25 th April is selected because it is the earliest observation available for Patil Estate] 13th June Ward: Shivajinagar-Ghole Road Prabhag: Pune University - Wakadewadi Location: PATIL ESTATE Total Positive in Patil Estate: 173 Positives detected by BJS MDS= 156 (90%) Number of suspected cases found by BJS: 1,692 Number of screenings done by BJS: 6,665
  • 11. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |10 of 18 Source for PMC data on Patil Estate: Twitter handle @SidShirole6 Data for Patil Estate was not available from 11th Apr to 23rd Apr- average values were taken (dotted line) Date Positive cases in Patil Estate as per PMC data Positive cases found by BJS MDS in Patil Estate % of positive cases found by MDS Average 7-dat growth rate 25-Apr 84 72 86% 11% 1-May 152 139 91% 10% 7-May 159 143 90% 1% 14-May 172 156 91% 1% 21-May 172 156 91% 0% 28-May 173 156 90% 0% 4-Jun 173 156 90% 0% 9-Jun 173 156 90% 0% 13-Jun 173 156 90% 0% Findings At the beginning of the pandemic, Patil Estate was one of the biggest and fast-growing hotspots for COVID in Pune, contributing to over 62% of the ward’s cases. Figure 4 shows that new cases started reducing from the first week of May, average growth rate of cases reduced from 37% to ~0%, and Patil Estate flattened the curve. In the last one month (between 13th May and 13th June), only 1 new case was detected. The intervention was hence been extremely effective in breaking the chain and limiting the spread of COVID. 6 Data for 25 th April- https://twitter.com/SidShirole/status/1253985606365036554 Data for 13 th June- https://twitter.com/SidShirole/status/1271828412248686592
  • 12. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |11 of 18 The intervention by BJS MDS helped flatten the curve in an area that had many cases and slum settlements. The extensive screening and referral method helped early detection, isolation and breaking the chain. 5. Assessing testing data in Yerwada Till 13th June, 8,880 people were referred as suspect patients after screening, and 808 people tested positive through MDS. Figure 2 shows that a large number of positive cases detected by BJS 253 cases were found in Yerwada-Kalas Dhanori ward. As per PMC data7 , Yerwada ward has the second highest number of cases in Pune and within it, Yerwada prabhag has the second highest cases8 . Hence, Yerwada ward was chosen for analysis. BJS did extensive work in Yerwada between 14th May and 13th June. Figure 5 shows the distribution of cases (red points) within Yerwada prabhag. As can be observed in the map (Figure 6), most of the testing was done in the slum settlements in the prabhag (grey polygons are slum settlements) Figure 6: Analysis of positive cases in Yerwada Map shows spread of suspect and positive cases in Yerwada Grey polygons show slums, red points show the location of positive cases, yellow points show suspect cases 7 Twitter Handle of Pune Mayor - https://twitter.com/mohol_murlidhar 8 13 th June source PMC: Yerwada ward had 1075 cases (second only to Dhole Patil Road- 1706 cases). Yerwada prabhag had 834 cases (second only to Tadiwala Road - Sassoon Hospital prabhag- 1168 cases)
  • 13. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |12 of 18 Source for slum shapefiles: Mundhe, N, 2019. Further analysing the daily new cases detected in the ward, it can be observed that 35% of the positive cases in this period were found through the efforts of MDS (Figure 7). The growth rate of cases also decreased in this period. Figure 7: Observing the trend of daily positive cases detected in Yerwada ward from 15th May to 13th June Light blue area shows the daily new positive cases in Yerwada, Dark blue area shows the daily new positive cases detected by MDS, Red line shows the 5-day growth rate of cases (in secondary axis)| Graph shows that 35% of the positive cases in Yerwada (between 15-May and 13-June) were detected by MDS | Graph shows that growth rate of new cases detected has reduced from 42.6% in the start to 6.36% on 13 th June
  • 14. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |13 of 18 Source for data: PMC and BJS. Findings The growth rate of cases in Yerwada has decreased in the last month. Increased and targeted testing is particularly required in hotspot wards. Looking at the data, it is found that-  Yerwada has the second highest number of cases in Pune city (1,113 cases) and was growing fast at ~40% at the start of the intervention.  35% of the positive cases detected in the ward between 15th May and 13th June was detected by MDS  MDS testing was targeted towards the slum settlements in the prabhag to ensure early identification of cases and reducing transmission  Two weeks after MDS started intensive work the number of daily new cases has reduced. The 5-day growth rate of cases has reduced from a high of over 40% in the start to 15% on 1st June and 6.36% on 13th June. The new positive cases in Yerwada has flattened over time. Early testing and early detection of positive cases enables early isolation, breaking-the- chain and lowering the number of deaths. Testing and detection of positive cases through MDS in Yerwada has reduced the growth rate of cases and the ward shows early signs of flattening the curve. 6. Mapping the age groups and gender of positive and deceased patients in PMC Comparing the age and gender of COVID positive and deceased patients, it can be observed that 35.17 42.62 26.92 21.3 34.78 31.84 44.15 28.6 31.67 20.5 15.55 8.69 7.45 7.8 6.79 6.36 0 5 10 15 20 25 30 35 40 45 50 0 10 20 30 40 50 60 70 15-May 16-May 17-May 18-May 19-May 20-May 21-May 22-May 23-May 24-May 25-May 26-May 27-May 28-May 29-May 30-May 31-May 01-Jun 02-Jun 03-Jun 04-Jun 05-Jun 06-Jun 07-Jun 08-Jun 09-Jun 10-Jun 11-Jun 12-Jun 13-Jun Daily positive cases detected by MDS Daily positive cases in Yerwada growth_rate
  • 15. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |14 of 18 Figure 8: Observing the gender and age of positive and deceased patients in PMC data and BJS data Graph 7.1 shows the distribution for PMC: 45% men, 55% women Graph 7.2 shows the distribution for BJS: 58% men, 42% women for 755 positive cases (data for 755 out of 808 positive cases was available) Graphs show that while the age distribution of both are roughly the same, the gender distribution in both is different. Additionally, PMC cases show a case fatality ratio (CFR) of 4.6% whereas BJS data shows a CFR of 0.4%. Age group PMC data – 12th June MDS data Male Female Deaths Male Female Deaths 0-10 years 228 256 1 32 22 0 10-20 years 439 487 1 49 42 0 20-30 years 803 955 5 124 76 0 228 439 803 785 636 500 370 144 11 256 487 955 1022 804 606 413 199 1 1 5 19 52 78 133 96 24 0 200 400 600 800 1000 1200 1400 1600 1800 2000 0-10 years 10-20 years 20-30 years 30-40 years 40-50 years 50-60 years 60-70 years 70-80 years 80-90 years 90-100 years Pune city demographic distribution men women deaths 8777 cases 413 deaths 32 49 124 104 64 34 19 22 42 76 72 43 33 23 0 0 0 0 1 1 1 0 0 50 100 150 200 250 0-10 years 10-20 years 20-30 years 30-40 years 40-50 years 50-60 years 60-70 years 70-80 years 80-90 years 90-100 years Demographic distribution in the BJS data men women deaths 755 cases 3 deaths
  • 16. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |15 of 18 30-40 years 785 1,022 19 104 72 0 40-50 years 636 804 52 64 43 1 50-60 years 500 606 78 34 33 1 60-70 years 370 413 133 19 23 1 70-80 years 144 199 96 7 5 0 80-90 years 38 70 24 2 1 0 90-100 years 11 9 4 0 0 0 TOTAL 3,954 4,821 413 435 317 3 The data on age and gender shows that BJS has identified more men whereas PMC has identified more women. The Case Fatality Ratio (CFR) for PMC is higher, but more data is needed to establish the reason for it. PMC data shows a CFR of 4% for age group 40-50, 7% for 50-60, 15% for 60-70, 21% for 70-80, 20% for 80-90 and 19% for 90-100. 7. Conclusion The work done by BJS in Pune in targeted locations has significantly aided the fight against COVID-19. Specifically  Total of 6.4 lakh screenings, 8,880 referrals and helped detect 808 positive cases  Of all the screenings, suspects and positive cases found through the Mobile Dispensary Seva Vans in PMC, BJS MDS did 90.3% of the screenings and referred 91.2% of the suspect cases and found 99.7% of positive cases in Pune  BJS-MDS interventions have focussed on slum clusters that have emerged as hotspots due to high density and inadequate WASH infrastructure. They have helped in early identification of cases in slums which has helped flatten the curve o BJS screened and referred more than 90% of the positive cases in Patil Estate o The work helped reduce the average growth rate of cases from 37% to 0%. o The extensive screening helped flatten the curve in the Patil Estate hotspot- only 1 new case in the last month (from 13th May to 13th June)  Till 13th June, BJS collected 2,253 samples and identified 325 positive cases. Out of this, maximum were in Yerwada ward. Yerwada had the second highest number of cases in Pune, and BJS work here is another example of how screening and testing resulting in reducing the number of cases. o BJS detected 253 cases in Yerwada ward. o This was 35% of all positive cases in this period. o The efforts in Yerwada have reduced the average growth rate of cases from 40% to 6.3% and shows early signs of flattening the curve in Yerwada.  The CFR of positive patients detected by BJS is considerably lower than the CFR of all positive patients in PMC. This could be due to early detection of cases.
  • 17. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |16 of 18 Overall, the extensive screening and referral method helped early detection, isolation and breaking the chain. The early detection of positive cases has helped control transmission and would also reduce the number of deaths.
  • 18. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |17 of 18 APPENDIX Prabhag wise positive cases found by BJS. First map shows cases in Pune prabhags on 18th June (source Twitter, MurlidharMohol). Second map shows positive patients detected by BJS
  • 19. Analysing the impact of BJS intervention in the fight against COVID-19 in Pune| CPC Analytics |18 of 18 i https://www.npr.org/sections/goatsandsoda/2020/04/15/834021103/who-sets-6-conditions-for-ending-a- coronavirus-lockdown ii https://www.theguardian.com/commentisfree/2020/apr/21/kerala-indian-state-flattened-coronavirus- curve