Hamilton County Public Health
Division of Epidemiology and Assessment
250 William Howard Taft Road
Cincinnati, Ohio 45219
513.946.7800
www.hamiltoncountyhealth.org
Date Reported: December 2023
2023 3rd QUARTER
Region 8 HIV Quarterly Report
HIV Surveillance Background
HIV Quarterly Report: Summary
Hamilton County Public Health conducts HIV surveillance and mitigation in seven counties (Brown, Butler, Clermont,
Clinton, Hamilton, Highland, and Warren) known as Region 8. This quarterly report was created as a surveillance eort
to help track and prevent new cases of HIV within Region 8 counties. When an individual tests positive for HIV in
Region 8, disease intervention specialists from Hamilton County Public Health attempt to contact that person and oer
partner-services (e.g., interviews, contact tracing, partner testing and linkage to care). Only HIV cases where the resident
was identied as a previously unknown new HIV infection by a disease intervention specialist were counted for analysis
purposes in this report. Some HIV cases are unable to be located for an interview, which may impact data collection. The
following report features total new HIV counts, demographic data and risk factor data for Region 8 counties. The purpose
of collecting and distributing demographic and risk factor data are to inform programming, community partners, and
stakeholders so the best eort can be made to diagnose, prevent, and treat HIV infections in our community. These data
can provide a snapshot of HIV surveillance in the region, but does not always tell the entire story. To fully understand the
situation, community voices, stakeholders, and other sources should be considered.
These data are provisional and subject to change as there is lag time in reporting and cases may be added or removed.
Ohio Department of Health specically disclaims responsibility for analyses, interpretations or conclusions.
Data downloaded from Ohio Disease Reporting System (ODRS) on 11/14/2023.
Email [email protected] with any questions regarding this report.
Page 1 of 11
For HIV or other STI testing information please call the HCPH Clinic at 513-946-7600
Region 8 Map
2019 2020 2021 2022 Jan - Sept 2023
218 165 200 135 111
Table 1. Region 8 New HIV Infections by Year
Month
New Cases of HIV
2022
New Cases of HIV
2023
J anuary 17 10
February 11 11
March 14 17
April 12 11
May 13 12
June 11 16
July 12 10
August 10 10
September 11 14
Octo ber 7 ־
Novemb er 12 ־
December 5 ־
Total 135 111
Table 2. Region 8 New HIV Infections by Month
Table 1 shows total new HIV
infections in Region 8 from
2019 through the September
2023. The most recent data are
highlighted in light green.
Figure 1 is a line graph of HIV
infections from 2019-2022.
2022 2023 % Change
111 111
0.0%
Table 3. Region 8 1st - 3rd Quarter Comparisons
218
165
200
135
2019 2020 2021 2022
Figure 1. Region 8 HIV Counts 2019 - 2022
Table 2 displays the breakdown of new
HIV cases for Region 8 residents from
January 2022 through September 2023
by month. In 2022, the highest number
of cases were seen in January (17
cases). In 2023, the highest number of
new HIV cases have occurred in March
(17 cases).
Table 3 is a comparison of the 1st
through 3rd quarters of 2022 and 2023.
In this time frame, there has been a
equal amount of HIV infections.
HIV Quarterly Report: Region 8
Page 2 of 11
Overview of HIV in Region 8
HIV Quarterly Report: Region 8
Figure 2 shows a surveillance control chart. The dashed orange line is the 3-year average (2020, 2021, and 2022) for new
HIV infections by month. The 3-year average is 13.69 new HIV infections per month. The dashed gray line is the upper
control limit (UCL) with a value of 22.44. The diamonds on the blue line graph show the actual number of new HIV
infections by month. The green diamonds are the months from the most recent quarter.
Analysis: For 2023, March, June, and September were above the 3-year average. All other months in 2023 were below
the average. A single point above or near the upper control limit or consecutive points above the average may signal
anomalies that need to be investigated. When there are only a small number of cases it may be dicult to distinguish
random uctuations in disease/injury incidence from true changes in the underlying risk for the disease/injury.
The average is found using HIV counts by month for the previous 3 years. A standard deviation is calculated using the same time frame. The upper
control limit is determined by multiplying the standard deviation by 2 and adding the 3-year average.
Page 3 of 11
0
5
10
15
20
25
Jan-22
Feb-22
Mar-22
Apr-22
May-22
Jun-22
Jul-22
Aug-22
Sep-22
Oct-22
Nov-22
Dec-22
Jan-23
Feb-23
Mar-23
Apr-23
May-23
Jun-23
Jul-23
Aug-23
Sep-23
New HIV 3 year Avg (13.69) UCL (22.44)
Figure 2. Region 8 New HIV Infection Control Chart
HIV Quarterly Report: Region 8
Table 4 shows demographic and risk factor data for Region 8. Highest number percentages are highlighted in
blue. For 2023, Male (74.8%), Black (45%), and 25-34 year olds (42.3%) were the demographics that made
up the highest percentages of new HIV infections. For risk factors, MSM (36.9%) had the highest percentage
of new HIV infections. The “Unknown” category for risk factors could be due to a disease intervention
specialist not being able to determine the possible mode of HIV transmission. See the risk factor denitions
below the table.
Percentages may not total to 100 due to rounding. Percentages are based on availability of data for all cases. MSM are men who have sex with men.
High risk heterosexuals (HRH) are determined by factors including but not limited to having a previous STI, sex while intoxicated, exchanging sex
for drugs, or having anonymous sexual partners. PWID is a person who injects drugs.
Page 4 of 11
# % # %
Male 100 74.1% 83 74.8%
Female 35 26.3% 28 25.2%
Black 72 53.3% 50 45.0%
White 55 40.7% 48 43.2%
Multi 1 0.7% 3 2.7%
Other 7 5.2% 9 8.1%
Unknown/Null 0 0.0% 1 0.9%
<14 0 0% 1 0.9%
15-24 30 22.2% 24 21.6%
25-34 49 36.3% 47 42.3%
35-44 27 20.0% 24 21.6%
45-54 19 14.1% 9 8.1%
55-64 7 5.2% 5 4.5%
65+ 3 2.2% 1 0.9%
MSM 48 35.6% 41 36.9%
HRH 25 18.5% 26 23.4%
PWID 20 14.8% 13 11.7%
Unknown/Null 42 31.1% 31 27.9%
2022
Jan - Sept 2023
HIV Quarterly Report: Hamilton County
Overview of HIV in Hamilton County
Page 5 of 11
2019 2020 2021 2022 Jan - Sept 2023
175 132 129 93 80
Table 5. Hamilton County New HIV Infections by Year
175
132
129
93
2019 2020 2021 2022
Figure 3. Hamilton County HIV Counts 2019-2022
Table 5 shows total new HIV
infections in Hamilton County
from 2019 through September
2023. The most recent data are
highlighted in light green.
Figure 3 is a line graph of HIV
infections from 2019-2022.
Month
New Cases of HIV
2022
New Cases of HIV
2023
J anuary 12 6
February 4 9
March 10 14
April 6 7
May 9 10
June 9 12
July 9 5
August 8 6
September 9 11
Octo ber 5 ־
Novemb er 8 ־
December 4 ־
Total 93 80
Table 6. Hamilton County New HIV Infections by Month
2022 2023 % Change
76 80
5.3% ↑
Table. 7 Hamilton County 1st - 3rd Quarter Comparisons
Table 6 displays the breakdown of
new HIV cases for Hamilton County
residents from January 2022 through
September 2023 by month. In 2022, the
highest number of cases were seen in
January (12 cases). In 2023, the highest
number of new HIV cases occurred in
March (14 cases).
Table 7 is a comparison of the 1st
through 3rd quarters of 2022 and 2023.
In this time frame, there has been a
5.3% increase of HIV infections.
The average is found using HIV counts by month for the previous 3 years. A standard deviation is calculated using the same time frame. The upper
control limit is determined by multiplying the standard deviation by 2 and adding the 3-year average.
Figure 4 shows a surveillance control chart. The dashed orange line is the 3-year average (2020, 2021, and 2022) for new
HIV infections by month. The 3-year average is 9.78 new HIV infections per month. The dashed gray line is the upper
control limit (UCL) with a value of 16.41. The diamonds on the blue line graph show the actual number of new HIV
infections by month. The green diamonds are the months from the most recent quarter.
Analysis: For 2023, March, May, June, and September were above the 3-year average. All other months in 2023 were
below the average. A single point above or near the upper control limit or consecutive points above the average may signal
anomalies that need to be investigated. When there are only a small number of cases it may be dicult to distinguish
random uctuations in disease/injury incidence from true changes in the underlying risk for the disease/injury.
Figure 4. Hamilton County New HIV Infection Control Chart
Page 6 of 11
HIV Quarterly Report: Hamilton County
0
2
4
6
8
10
12
14
16
18
Jan-22
Feb-22
Mar-22
Apr-22
May-22
Jun-22
Jul-22
Aug-22
Sep-22
Oct-22
Nov-22
Dec-22
Jan-23
Feb-23
Mar-23
Apr-23
May-23
Jun-23
Jul-23
Aug-23
Sep-23
New HIV 3 Year Avg (9.78) UCL (16.41)
Table 8 shows demographic and risk factor data in Hamilton County. Highest number percentages are
highlighted in blue. For 2023, Male (80%), Black (52.5%), 25-34 year olds (46.3%) were the demographics
that made up the highest percentages of new HIV infections. For risk factors, MSM (42.5%) had the highest
percentage of new HIV infections. The “Unknown” category for risk factors could be due to a disease
intervention specialist not being able to determine the possible mode of HIV transmission. See the risk factor
denitions below the table.
HIV Quarterly Report: Hamilton County
Percentages may not total to 100 due to rounding. Percentages are based on availability of data for all cases. MSM are men who have sex with men.
High risk heterosexuals (HRH) are determined by factors including but not limited to having a previous STI, sex while intoxicated, exchanging sex
for drugs, or having anonymous sexual partners. PWID is a person who injects drugs.
Page 7 of 11
# % # %
Male 73 78.5% 64 80.0%
Female 20 21.5% 16 20.0%
Black 67 72.0% 42 52.5%
White 24 25.8% 28 35.0%
Multi 1 1.1% 2 2.5%
Other 1 1.1% 7 8.8%
Unknown/Null 0 0.0% 1 1.3%
<14 0 0.0% 1 1.3%
15-24 27 29.0% 17 21.3%
25-34 30 32.3% 37 46.3%
35-44 13 14.0% 18 22.5%
45-54 15 16.1% 5 6.3%
55-64 5 5.4% 1 1.3%
65+ 3 3.2% 1 1.3%
MSM 38 40.9% 34 42.5%
HRH 21 22.6% 18 22.5%
PWID 4 4.3% 5 6.3%
Unknown/Null 30 32.3% 23 28.8%
Gender
Race
Age Group
Risk Factor
Table 8. Hamilton County New HIV Morbidity
2022
Jan - Sept 2023
HIV Quarterly Report: Butler County
Overview of HIV in Butler County
Page 8 of 11
2019 2020 2021 2022 Jan - Sept 2023
21 15 59 30 24
Table 9. Butler County New HIV Infections by Year
21
15
59
30
2019 2020 2021 2022
Figure 5. Butler County HIV Counts 2019-2022
Table 9 shows total new HIV
infections in Butler County
from 2019 through September
2023. The most recent data are
highlighted in light green.
Figure 5 is a line graph of HIV
infections from 2019-2022.
Month
New Cases of HIV
2022
New Cases of HIV
2023
J anuary 1 4
February 7 2
March 3 2
April 5 4
May 4 1
June 2 2
July 1 3
August 1 4
September 1 2
Octo ber 2 ־
Novemb er 3 ־
December 0 ־
Total 30 24
Table 10. Butler County New HIV Infections by Month
2022 2023 % Change
25 24
-4.0% ↓
Table 11. Butler County 1st - 3rd Quarter Comparisons
Table 10 displays the breakdown of
new HIV cases for Butler County
residents from January 2022 through
September 2023 by month. In 2022, the
highest number of cases were seen in
February (7 cases). In 2023, the highest
number of cases occurred in January,
April, and August (4 cases).
Table 11 is a comparison of the 1st
through 3rd quarters of 2022 and 2023.
In this time frame, there has been a 4%
decrease of HIV infections.
Figure 6 shows a surveillance control chart. The dashed orange line is the 3-year average (2020, 2021, and 2022) for
new HIV infections by month. The 3-year average is 2.89 new HIV infections per month. The dashed gray line is the
upper control limit (UCL) with a value of 7.99. The diamonds on the blue line graph show the actual number of new HIV
infections by month. The green diamonds are the months from the most recent quarter.
Analysis: For 2023, January, April, July, and August were above the 3-year average. A single point above or near the
upper control limit or consecutive points above the average may signal anomalies that need to be investigated. When there
are only a small number of cases it may be dicult to distinguish random uctuations in disease/injury incidence from
true changes in the underlying risk for the disease/injury.
The average is found using HIV counts by month for the previous 3 years. A standard deviation is calculated using the same time frame. The upper
control limit is determined by multiplying the standard deviation by 2 and adding the 3-year average.
HIV Quarterly Report: Butler County
Figure 6. Butler County New HIV Infection Control Chart
Page 9 of 11
0
1
2
3
4
5
6
7
8
9
Jan-22
Feb-22
Mar-22
Apr-22
May-22
Jun-22
Jul-22
Aug-22
Sep-22
Oct-22
Nov-22
Dec-22
Jan-23
Feb-23
Mar-23
Apr-23
May-23
Jun-23
Jul-23
Aug-23
Sep-23
New HIV 3 Year Avg (2.89) UCL (7.99)
Table 12 shows demographic and risk factor data in Butler County. Highest number percentages are highlighted
in blue. For 2023, Male (54.2%), White (58.3%), and 25-34 year olds (33.3%) were the demographics that made
up the highest percentages of new HIV infections. For risk factors (excluding Unknown/Null), PWID and MSM
(25%) had the highest percentage of new HIV infections. The “Unknown” category for risk factors could be due
to a disease intervention specialist not being able to determine the possible mode of HIV transmission. See the
risk factor denitions below the table.
HIV Quarterly Report: Butler County
Percentages may not total to 100 due to rounding. Percentages are based on availability of data for all cases. MSM are men who have sex
with men. High risk heterosexuals (HRH) are determined by factors including but not limited to having a previous STI, sex while intoxicated,
exchanging sex for drugs, or having anonymous sexual partners. PWID is a person who injects drugs.
Page 10 of 11
#
% # %
Male 19 63.3% 13 54.2%
Female 11 36.7% 11 45.8%
Black 4 13.3% 7 29.2%
White 21 70.0% 14 58.3%
Multi 0 0.0% 1 4.2%
Other 5 16.7% 2 8.3%
15-24 2 6.7% 6 25.0%
25-34 13 43.3% 8 33.3%
35-44 13 43.3% 4 16.7%
45-54 2 6.7% 3 12.5%
55-64 0 0.0% 3 12.5%
65+ 0 0.0% 0 0.0%
MSM 7 23.3% 6 25.0%
HRH 0 0.0% 5 20.8%
PWID 16 53.3% 6 25.0%
Unknown/Null 7 23.3% 7 29.2%
Gender
Race
Age Group
Risk Factor
Table 12. Butler County New HIV Morbidity
2022
Jan - Sept 2023
HIV Quarterly Report: Select Region 8 Counties
Overview of HIV in Brown, Clermont, Clinton, Highland, and Warren County
Table 13 shows total new HIV
infections in select Region 8
counties by quarter for 2022 and
2023. For 2023, Clermont County
has the highest number of new
HIV infections (3 cases).
Table 14 shows demographic and
risk factor data for the aggregate
of the select Region 8 counties.
Highest number of percentages are
highlighted in blue. For 2023, Male
(87.5%), White (87.5%), and 35-
44 year olds (37.5%) made up the
highest percentages of new HIV
infections. For Risk Factors, HRH
(37.5%) had the highest percentage
of new HIV infections. Risk factor
denitions are on previous pages.
Page 11 of 11
Brown
Clermont Clinton Highland Warren
Q1 1 2 0 0 2
Q2 0 0 0 0 1
Q3 0 1 1 0 2
Q4 0 1 0 0 1
Total 1 4 1 0 6
Q1 0 0 0 0 1
Q2 0 1 2 0 0
Q3 0 2 0 1 1
Total 0 3 2 1 2
2022
2023
Table 13. Select Region 8 Counties New HIV Infections by Quarter
# % # %
Male 8 66.7% 7 87.5%
Female 4 33.3% 1 12.5%
Black 1 8.3% 1 12.5%
White 10 83.3% 7 87.5%
Multi 0 0.0% 0 0.0%
Other 1 8.3% 0 0.0%
15-24 1 8.3% 1 12.5%
25-34 6 50.0% 2 25.0%
35-44 1 8.3% 3 37.5%
45-54 2 16.7% 1 12.5%
55-64 2 16.7% 1 12.5%
65+ 0 0.0% 0 0.0%
MSM 3 25.0% 2 25.0%
HRH 4 33.0% 3 37.5%
PWID 0 0.0% 2 25.0%
Unknown/Null 5 42.0% 1 12.5%
Risk Factor
Table 14. Select Region 8 Counties HIV Morbidity
2022
Jan - Sept 2023
Gender
Race
Age Group