<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/css" href="https://imcjms.com/public/assets/rss.css" ?><rss version="2.0">
<channel>
    <title>IMC Journal of Medical Science</title>
    <link>https://imcjms.com/public</link>
    <description>Ibrahim Medical College Journal of Medical Science</description>

                        <item>
                <title><![CDATA[Trends of COVID-19 mortality and hospitalization
rates in southern states of the United States, 2020-2023]]></title>

                                    <author><![CDATA[Bever-Leigh Holden]]></author>
                                    <author><![CDATA[Precious Patrick Edet]]></author>
                                    <author><![CDATA[Elizabeth A.K. Jones]]></author>
                                    <author><![CDATA[Amal K. Mitra]]></author>
                
                <link data-url="https://imcjms.com/public/registration/journal_full_text/520">
    https://imcjms.com/public/registration/journal_full_text/520
</link>
                <pubDate>Tue, 09 Apr 2024 10:32:28 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[July 2024; Vol. 18(2):001]]></comments>
                <description>Abstract 
Background and Objectives: The COVID-19
pandemic, caused by the novel coronavirus SARS-CoV-2, has emerged as one of the
most profound global health crises of the 21st century. In the United States,
the impact of COVID-19 has been severe, with notable disparities observed in
the Southern region. This study aims to evaluate trends in COVID-19 mortality
and hospitalization rates in southern states over the course of 2020 to 2023 by
presenting a comprehensive analysis of trends in COVID-19 outcomes within
Southern states. 
Methods: Data for the
study was collected from the COVID-19 Data Tracker, a resource provided by the
Centers for Disease Control and Prevention (CDC). Stratification techniques
were employed to categorize the sample into subgroups of Southern states
(Arkansas, Alabama, Florida, Georgia, Kentucky, Louisiana, Mississippi, North
Carolina, South Carolina, Tennessee, Texas, and Virginia). Joinpoint regression
models were used to calculate Annual Percentage Change (APC) and Average Annual
Percentage Change (AAPC).
Results: Results showed a downward trend in both
age adjusted APC and AAPC COVID-19 hospitalization rates and an upward trend in
mortality rates for all southern states between 2020 to 2023. Only 3 out of the
12 states have age adjusted mortality rates that are lower than the national
age adjusted mortality rate for COVID-19 (286.4 deaths per 100,000). COVID-19 vaccine
coverage in 12 southern states is 61.8% - 91.3%. 
Conclusion:The study contributes to a deeper
understanding of the evolving dynamics of COVID-19 pandemic within the southern
U.S. states. The information would be a valuable guidance for public health
strategies, resource allocation, and policymaking aimed at addressing this
ongoing crisis.
July
2024; Vol. 18(2):001.&amp;nbsp; DOI: https://doi.org/10.55010/imcjms.18.013
*Correspondence: Bever-Leigh
Holden, Jackson State University, Department of Epidemiology and Biostatistics,
Jackson, Mississippi, USA, Email:bever-leigh.i.holden@students.jsums.edu; beverleighholden@yahoo.com
&amp;nbsp;
Introduction
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2,
emerged as one of the most profound global health crises of the 21st century [1].&amp;nbsp;Since its inception in late 2019, this highly contagious and
potentially lethal virus has threatened human population worldwide causing
severe respiratory distress and life-threatening complications [2].&amp;nbsp;&amp;nbsp;According to the World Health Organization (WHO), a total of
770,875,433 confirmed cases of COVID-19, including 6,959,316 deaths globally
were reported as of September 27, 2023 [3].&amp;nbsp;&amp;nbsp;In addition, the cumulative count of COVID-19 vaccine doses
administered globally stands at 13,505,262,477 as of September 19, 2023 [3].&amp;nbsp;With millions of cases and fatalities recorded worldwide, this
pandemic has not only strained healthcare systems but has also disrupted
economies, education, and the daily lives of many [4].&amp;nbsp;
In the United States (U.S.), the impact of COVID-19 has been severe,
causing 6,368,333 hospitalizations and 1,144,539 deaths as of September 23,
2023 [3],&amp;nbsp;with notable disparities reported, particularly among racial/ethnic
minorities and in the Southern region of the country [6,7].&amp;nbsp;These outcomes have necessitated an unprecedented public health
response, including lockdowns, social distancing, mask mandates, and the rapid
development of vaccines [8].&amp;nbsp;As
the U.S. grapples with the spread and devastating consequences of COVID-19,
public health systems have been challenged to comprehend, mitigate, and respond
effectively to the multifaceted dimensions of this disease threat. 
According to the CDC, the
U.S. federal Public Health Emergency (PHE) declaration for COVID-19 concluded
on May 11, 2023, leading to the expiration of the CDC&#039;s authorization to
collect specific public health data [9]. The CDC is actively integrating its
COVID-19 emergency response into existing programs, transitioning to
sustainable public health practices [9]. The CDC remains committed to providing
valuable COVID-19 updates for informed public health actions, especially for
those at the highest risk, prioritizing the protection of the nation&#039;s public
health [9].
One of such updates was
released on September 8, 2023, in a CDC report titled, “Update on SARS CoV-2
Variant BA.2.86,” which announced a new COVID-19 variant called BA.2.86 [10].
According to the CDC, “the current increases in COVID-19 cases and
hospitalizations in the United States are not being driven by BA.2.86 and
instead are being caused by other predominantly circulating viruses” [10]. The
CDC advises individuals aged 5 years and above to receive one dose of a
2023-2024 updated COVID-19 vaccine from Pfizer-BioNTech, Moderna, or Novavax,
as a safeguard against severe illness caused by COVID-19 [11].
Southern states, characterized by their unique demographics,
healthcare infrastructure, and policies, have faced distinct challenges in
dealing with the pandemic [12,13].&amp;nbsp;These
factors account for a high number of White Americans having elevated COVID-19 mortality
rates. Additionally, research findings show that in 2022, Southern states
including Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina,
South Carolina, and Tennessee, recorded the highest number of
COVID-19-associated deaths, totaling 56,695 [5]. To&amp;nbsp;comprehend the gravity of the situation, it is crucial to compare
and contrast the experiences of Southern states with national averages as such
comparisons enable the identification of COVID-19 patterns and disparities, measurement of COVID-19 trends
over a pre-specified fixed interval utilizing Annual Percentage Change
(APC) and Average Annual Percentage Change (AAPC) tools, and the assessment of
potential factors contributing to variations in COVID-19 outcomes, such as
mortality and hospitalization rates.
While the COVID-19 pandemic has prompted a wealth of research, there
remains a notable gap in the knowledge regarding COVID-19 trends, and APC and
AAPC of hospitalization and mortality rates in Southern states. As a result,
our current understanding of the pandemic&#039;s trajectory within the Southern
states remains incomplete, limiting our ability to tailor public health
responses, allocate resources effectively, and inform evidence-based
policymaking in this region. To address this knowledge gap, it is imperative
that researchers prioritize region-specific studies that employ robust
methodologies to analyze APC and AAPC trends in hospitalization and mortality
rates. Such research endeavors are essential not only for enhancing our
comprehension of the evolving COVID-19 dynamics in the Southern states but also
for shaping targeted interventions and public health strategies that can
mitigate the impact of the virus in this distinct geographical context.
To address this gap in knowledge, this study aims to evaluate trends
in COVID-19 mortality and hospitalization rates in southern states over the
course of 2020 to 2023 by presenting a comprehensive analysis of trends in
COVID-19 outcomes within Southern states. Through a rigorous examination of
these trends, we intend to shed light on the changing dynamics of COVID-19 within
this region, thereby informing public health strategies, resource allocation,
and policy decisions necessary to combat this ongoing crisis.
&amp;nbsp;
Materials and Methods 
Data Collection: Data was exported from the CDC’s COVID-19
Tracker. The database contains COVID-19 related surveillance data from each
state in the United States. SAS Studio [15] was used to calculate standard
error for joinpoint regression and MS excel/ text file was used to prepare data
(variables: state, year, age adjusted rate, and standard error) for joinpoint
regression software. Stratification was used to separate the sample into
subgroups of southern states (Arkansas, Alabama, Florida, Georgia, Kentucky,
Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia.
Statistical Analysis: Age-adjusted rates and frequencies were extracted
from the CDC database. SAS Studio [15] was used to calculate the standard error
for the sample. U.S. Surveillance, Epidemiology, and End Results (SEER)
Joinpoint regression program version 5.0 [16] was used to calculate Annual
Percentage Change (APC) and Average Annual Percentage Change (AAPC) of
hospitalization and mortality rates in southern states. Joinpoint regression
describes trends and significant changes in trends. &amp;nbsp; Based on the Bayesian information criterion [17], the Empirical Quantile Method was used to
identify the significant best fit line for trend 1. P-value was not calculated
based on the method. However, each model tested for significance and listed the
results for significance. Confidence intervals were calculated for APC and
AAPC. 
Calculation of APC and AAPC: APC assumes the change at a constant percentage
of the rate of the previous year to predict outcomes [18]. Therefore, the
following regression model is used to estimate the APC for a series of data: 
, where &amp;nbsp;is the natural log of the rate
in year “y”.
&amp;nbsp;
The APC from year “y” to
year “y+1”
=&amp;nbsp;
&amp;nbsp;
=&amp;nbsp;
&amp;nbsp;
=&amp;nbsp;
The AAPC is a weighted average of the slope coefficients
of the underlying joinpoint regression model with the weights equal to the
length of each segment over the interval [19]. If we denote bi&amp;nbsp;as
the slope coefficient for the ith&amp;nbsp;segment with i indexing the
segments in the desired range of years, and wi&amp;nbsp;as the length of
each segment in the range of years, then:

&amp;nbsp;
Results
Trends of COVID-19 hospitalization and mortality rates in 12 southern
states of United States for the period of 2020-2023 have been analyzed.
COVID-19 hospitalization
and mortality rates
&amp;nbsp;Details of hospitalizations and deaths due to
COVID-19 during 2020-2023 in all the 12 southern states of US are shown in
Table-1, 2 and 2a. Between 2020 to 2023, the southern states of the United
States (Arkansas, Alabama, Florida, Georgia, Kentucky, Louisiana, Mississippi,
North Carolina, South Carolina, Tennessee, and Texas) have a total of 2,418,046
hospitalizations, and 420,659 COVID-19 deaths. During this period, all the 12
southern states have experienced declines in COVID-19 hospitalizations. Rate of
age adjusted decline of COVID-19 hospitalization in 12 southern states ranged from
57.4% to 90.1% (Table-2a). Highest and lowest decline has been observed in
Kentucky (90.1%) and Florida (57.4%) respectively between 2020 to 2023. From
2020-2023, Texas has the highest number of hospitalizations in the southern
region (n=607,125, 25.1%) while Kentucky has the highest age adjusted
hospitalization rate (62.9 per 100,000) (Table-1and 2).
&amp;nbsp;
Table-1: Rates of
COVID-19
hospitalization, mortality and vaccination against SARS-CoV-2 in 12 southern states of
US, 2020-2023 (As of September 9th)
&amp;nbsp;
&amp;nbsp;
Between 2020-2023, all
the southern states have experienced increases in COVID-19 mortality. The
changes within the age-adjusted COVID-19 mortality rates ranged from 61.0% to
78.1% for southern states between 2020-2023. Louisiana has the lowest (61.0%)
while Kentucky has the highest (78.1%) increase in mortality rates among the
southern states from 2020-2023. From 2020-2023, Texas has the highest number of
deaths in the southern region (n=102,325, 24.3%; Table-1). However, Mississippi
has the highest age adjusted mortality rate in the southern region (428 deaths
per 100,000; Table-2).In terms of weekly COVID-19 deaths as of September 9,
2023, 5 states (41.7%) had 1-9 deaths (Arkansas, Alabama, Kentucky, Louisiana,
and Mississippi), 6 states (50%) had 13-24 deaths (Virginia-13 deaths;
Georgia-15 deaths; Texas-17 deaths; Tennessee and South Caroline- 19 deaths;
North Carolina-24 deaths), and 1 state (8.3%) had 66 deaths (Florida).
&amp;nbsp;
Table-2: Trends in COVID-19
hospitalizations and deaths, 2020-2023
&amp;nbsp;
&amp;nbsp;
COVID-19 vaccine coverage
&amp;nbsp;In the southern states, 85,900,123 individuals
have been administered at least 1 vaccine dose (Table-1). All the southern
states have more than 60% vaccination coverage with at least 1 dose of a
vaccine. The range of COVID-19 vaccine coverage in 12 southern states is 61.8%
to 91.3% (Table-1). Virginia has the highest (91.3%) while North Carolina has
the lowest (61.8%) vaccine coverage. 
COVID-19 mortality by gender,
age, and race/ethnicity in the Southern states 
Gender: Between 2020-2023,
males had higher age adjusted COVID-19 mortality rates (136.6 deaths per
100,000 [2020]; 158.8 deaths per 100,000 [2021]; 80.0 deaths per 100,000
[2021]; 26.5 deaths per 100,000 [2023]) than females (108.4 deaths per 100,000
[2020]; 123.2 deaths per 100,000 [2021]; 64.8 deaths per 100,000 [2020]; 11.9
deaths per 100,000 [2023]) in southern states. Between 2020-2023, the age
adjusted mortality rate declined by 80% in males and by 89.0% in females.
(Table-3) The trend for the
age-adjusted mortality rates in males and females consisted of 1 segment with a
significant APC of -20.6% (-50.5% to 7.1%) and -17.8% (-45.8% to 10%)
respectively (Table-3). 
&amp;nbsp;
Table-2a: Changes in
age-adjusted hospitalization and mortality rates in 12 southern states of US 
&amp;nbsp;
&amp;nbsp;
Age: Between
2020-2023, adults 65 years and older had higher age-adjusted COVID-19 mortality
rates (904.9 deaths per 100,000 [2020]; 1085.9 deaths per 100,000 [2021]; 655.1
deaths per 100,000 [2022]; 149.5 deaths per 100,000 [2023]) than any other age
group in southern states. Between 2020-2023, the age-adjusted mortality rate
remained 0% for the 0-17 age group, but it declined by 99.7%, 92.2% and 83.5%
in the 18-39, 40-64 and &amp;gt; 65 years age groups respectively. Adults aged 65
years and older had the lowest decline in age-adjusted mortality rates among
all age groups in southern states. The trend for the age-adjusted mortality rates in the 0-17 age group
could not be calculated due to 0 COVID-19 morality rates within the reported
years. The trend for the age-adjusted mortality rates in the 18-39 age group
consisted of 1 segment with a significant APC of -0.8% (-63.7% to 99.2%) The
values for 40-60 and above 65 years age groups are -7.5% (-75.6% to 138.3%) and
-20.0% (-43.6% to 0.6%) respectively (Table- 3). 
&amp;nbsp;
Table-3: Trends in COVID-19 mortality
by gender, race/ethnicity, and age in southern states, 2020-2023
&amp;nbsp;
&amp;nbsp;
Race/Ethnicity: Between 2020-2023, Whites had higher age adjusted
COVID-19 mortality rates (138 deaths per 100,000 [2021]; 78.6 deaths per
100,000 [2022]; 15.64 deaths per 100,000 [2023]) than Blacks, American Indian/
Alaska Native (Non-Hispanic), Asians/ Pacific Islander (Non-Hispanic), and
Hispanic in each year of the pandemic except for 2020. During 2020, Blacks had
a higher age-adjusted COVID-19 mortality rate (91.8 deaths per 100,000) than
any other race/ethnicity in southern states. Between 2020-2023, the age
adjusted mortality rate declined by 93.2% in Blacks, 100% in American
Indians/Alaska Natives (Non-Hispanic), 98.3% in Asians/Pacific Islanders
(Non-Hispanic), 89.9% in Hispanics, and 82.9% in Whites in southern states.
Whites had the lowest decline in age-adjusted COVID-19 mortality rates during
the period (Table -3). The trend for
the age-adjusted mortality rates for American Indians/ Alaska Natives
(Non-Hispanic) could not be calculated due to zero COVID-19 morality rates
being reported within the reported years. The trend for the age-adjusted
mortality rates in different ethnic groups is shown in detail in Table-3. 
&amp;nbsp;
Discussion 
Among all southern states, there is a downward
trend in both age adjusted, annual percentage change and average annual
percentage change hospitalization rates between 2020 to 2023 (Table 2).
However, there is an upward trend in age adjusted, annual percentage change,
and average annual percentage change mortality rates in all southern states
between 2020 to 2023. Only 3 out of the 12 southern states (25%) have age
adjusted COVID-19 mortality rates that are lower than the national average for age
adjusted COVID-19 mortality rates (286.4 deaths per 100,000) in the United
States [20] These states are Virginia (235 deaths per 100,000), North Carolina
(271 deaths per 100,000), and Florida (249 deaths per 100,000). These findings
are attributed to Virginia (91.3%), North Carolina (90.2%), and Florida (82.6%)
having vaccination rates surpassing or approaching 85%, which is the ideal rate
of COVID-19 vaccinations to foster herd immunity [21]. Unfortunately, the other
southern states have failed to fall within a significant range of the 85%
vaccination rate goal for each state. In addition to low vaccination rates,
changes in COVID-19 variants may also be responsible for upward trends in
mortality within southern states. These findings emphasize a need for
initiatives to address challenges surrounding COVID-19 related issues, such as
vaccine misinformation, allocation of resources, strategic planning, and state
policies. 
As of 2023, there is also a downward trend in mortality rates based on
gender, age, and race in all southern states. However, the downward COVID-19
mortality trends by subgroups are lower in females, Whites (Non-Hispanic), and
adults 65 years and older. Furthermore, Whites (Non-Hispanic), adults 65 years
and older, and males have higher rates of morality than any other group within
their respective categories between 2020-2023. These findings are attributed to
COVID-19 related complexities within southern states related to socio-political
factors. In southern states, white males tend to be more influenced by negative
political views regarding PPE (Personal protection equipment), vaccines, and
COVID-19 prevention because of their political affiliations. While southern
states are experiencing downward trends in mortality by each subgroup, findings
still suggest that whites, males, and 65 years and old still depict the need
for further intervention and education. 
The impact of COVID-19 can vary substantially from one region to
another, and there are various theories that can contribute to why certain
areas, notably specific southern states, may bear a disproportionately
significant burden from the pandemic. It is important to remember that COVID-19&#039;s
influence could alter overtime as vaccination rates rise, new variations
develop, and public health policies are implemented and revised. Regional
disparities may also vary as communities adapt to changing circumstances and
new data becomes available. Factors such as population density, vaccination
hesitancy, healthcare infrastructure, public health measures, demographics,
socioeconomic factors, and political and cultural factors all result in the
disproportionate rates of mortality in southern regions of the United States. 
There was significant geographic variation in COVID-19 cases and
fatalities, with certain states bearing a disproportionately higher incidence
of the disease [22]. Controlling the spread of the virus is often more
difficult in areas with a higher population density. Southern states like
Florida and Texas have densely populated metropolitan areas, such as Miami and
Houston, where the virus can spread more easily due to close proximity. There
was also a distinct urban-rural gap seen, with urban areas having greater case
counts, undoubtedly due to population density and mobility, whereas rural areas
had fewer cases but faced challenges with healthcare access and resources. 
Trust in health experts, government, or public health institutions are
closely related to risk perception about COVID-10 immunizations and vaccine
adoption [23]. Tailored and evidence-based health communication is critical in
encouraging beneficial health behaviors and winning folks&#039; trust. Individuals
agreed to accept the vaccine if it was required by their employer, if
government officials gave clear and consistent communication about the
infection and vaccine regarding the safety and effectiveness of the vaccine, or
if it was suggested by their doctor or a health professional. The frequency
with which people watched, listened to, or read the news reflected an increase
in vaccine acceptance. However, the media frequently exaggerates the hazards of
vaccination, which can contribute to lower vaccine acceptability among some
populations. COVID-19 vaccinations and prevention strategies are critical for
preserving public health, decreasing virus spread, and ultimately ending the
pandemic. To overcome the obstacles posed by COVID-19, a mix of immunization,
public health interventions, and responsible individual behavior is required.&amp;nbsp;&amp;nbsp;&amp;nbsp; 
Healthcare infrastructure availability and capacity can have a
substantial impact on a region&#039;s ability to handle COVID-19 cases. Some
southern states have struggled with hospital capacity and funding, putting an
additional strain on the healthcare system. Shortly after the start of the
pandemic in the United States, COVID-19 infections spread quickly, resulting in
rapid increases in hospitalizations. At that time the influx put a burden on
healthcare infrastructure, such as hospitals, clinics, and emergency services [24].
Many healthcare facilities were suffering from a lack of beds, ventilators, and
other crucial services. The epidemic disrupted worldwide supply systems for
medical goods and equipment. Personal protection equipment, ventilators,
testing kits, and even pharmaceuticals were in short supply. To deal with the
pandemic, healthcare infrastructure needed to react quickly. This frequently
entailed repurposing non-traditional venues such as COVID-19 treatment centers,
establishing field hospitals, and establishing specialist COVID-19 sections
within existing healthcare facilities. The state’s public and private clinics
and hospitals funding allotment, population size, and demand all contributed to
the Southern states’ ability to provide immediate and equitable healthcare to those
who sought prevention and treatment options. 
Differences in the adoption and adherence to public health measures,
such as mask regulations, social distance, and lockdowns all impacted the
spread of the virus globally. Variability in adherence to these strategies
guided the effects and impact of the COVID-19 burden in various places,
especially in Southern regions, where political figures and representatives
guided the adoption, or lack thereof, of public health suggested/mandated
guidelines. Increases in COVID-19 cases and deaths in the south and rural areas
represented disproportionate rates compared to other parts of the country [25].
The findings emphasize the importance of further understanding the factors
behind perceptions of COVID-19 risk in rural areas. During national
catastrophes, the dissemination of scientifically sound and consistent
information is crucial. 
COVID-19 mortality rates are heavily influenced by demographics. Age,
gender, race/ethnicity, socioeconomic level, occupational risks, and underlying
political and health issues can all influence an individual&#039;s chance of
acquiring the disease and outcome [26,27,28]. Southern states exhibit a higher
prevalence of comorbidities, which raises the risk of the severity of the
disease if infected [26]. One of the most important demographic parameters
influencing COVID-19 mortality is age. Elderly individuals, particularly those
over the age of 65, are at a significantly higher risk of serious illness and
death if they contract the disease. Younger individuals, particularly children,
are often less affected. Early in the pandemic, men were found to have a
greater fatality rate than women. This gender disparity could be attributed to
a variety of variables, including immune response disparities, the incidence of
underlying health disorders, and a person&#039;s belief in health-seeking
attention/treatment [26]. COVID-19 mortality rates have been found to be
unequally distributed between racial and ethnic groupings. Some minority
groups, such as Black, and Hispanic have had higher death rates than Whites
earlier in the pandemic, which was consistent with the findings of this study.
This gap is frequently linked to socioeconomic issues, lack of access to
healthcare, and increased prevalence. Individuals with lower socioeconomic
level, such as those with poor access to healthcare, unstable housing, and
employment that involve close contact with others, are more likely to be
exposed to the virus and suffer serious implications. Individuals with
preexisting health issues, such as heart disease, diabetes, obesity, and
respiratory disorders, are predisposed to catastrophic COVID-19 results. Cities
with dense residents frequently have greater death rates than rural areas. Certain
occupations, such as healthcare personnel, first responders, and vital workers,
stand a higher risk of acquiring viral infection. This can have an impact on
death rates in various occupational populations. 
Socioeconomic factors can have a substantial impact on COVID-19
fatality rates. Inequities in access to healthcare facilities, quality of care,
and individual habits, have an impact on outcomes. During the initial phase of
the COVID-19 epidemic, individuals with limited incomes had restricted access
to healthcare, which made early diagnosis and treatment more challenging [27].
People in low-wage occupations were frequently unable to work from home which
caused them to be more vulnerable to the virus. Individuals with lower
education levels were linked to lower health literacy, which resulted in less
effective preventative measures and delayed medical care. A lack of or
insufficient health insurance resulted in delayed or inadequate care,
increasing the chance of catastrophic COVID-19 outcomes. Overcrowding or
inadequate housing rendered social distancing and isolation impossible, leading
to an increased likelihood of transmission within homes. Inadequate nutrition
caused by food instability was found to weaken the immune system and worsen the
results for people infected with the virus. Individuals with limited access to
private transportation found it difficult to obtain medical treatment or visit
testing and immunization sites. Individual behaviors such as mask-wearing,
social distancing, and vaccine hesitancy influenced by socioeconomic disparities,
affected COVID-19 outcomes. Economic insecurity, job loss, and social isolation
also led to mental health problems, which affected COVID-19 outcomes.
Public health response measures are frequently influenced by political
and cultural variables. Political divisions or cultural attitudes on health
measures such as masking and vaccination had an impact on the COVID-19 burden
in some circumstances [27,28]. COVID-19 is a worldwide pandemic, and
international political collaboration was critical to contain its spread.
Policies governing foreign travel, trade, and vaccine delivery were critical in
impacting the Southern region of the United States’ vulnerability to the virus.
Clear and consistent messaging from political and social groups is important to
persuade people to take precautionary measures to prevent morbidity and
mortality.
This study has some limitations. First, only
individuals with confirmed COVID-19 cases were included in the study, which may
have left out individuals with unconfirmed COVID-19 diagnosis. Second, based on
the nature of the study, there is a low capacity to estimate associations. The
study is important because it focuses on analyzing trends and changes of
COVID-19 hospitalization and mortality over periods of time in all the Sothern
states of US. 
In summary, COVID-19 pandemic had a significant impact on mortality
rates in the United States, with southern regions bearing a disproportionate
weight of deaths. COVID-19 has a substantial impact on global healthcare
infrastructure, revealing both its strengths and weaknesses. It underlined the
significance of robust and adaptive healthcare systems in responding to
unforeseen problems such as COVID-19 pandemics. To address the gaps in
healthcare system, public health and medical professionals must concentrate on
underlying social and economic inequities as well as enhancing healthcare
access for vulnerable groups. 
Public health measures, such as educational campaigns aimed at
vulnerable communities, equal access to testing, treatment, and vaccination are
crucial to contain and minimize COVID-19 pandemic. The measures can help minimizing
COVID-19 mortality rates, especially in the southern states.
&amp;nbsp;
Author’s contribution
EAKJ conceptualized the
study; AKM validated the study and the original draft; BH, PPE and EAKJ
prepared the original draft, reviewed and edited the manuscript. 
&amp;nbsp;
Competing interest: No competing
interest/conflict of interest.
&amp;nbsp;
Funding: None 
&amp;nbsp;
References 
1.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Centers
for Disease Control and Prevention. COVID-19 and your health. 2023; https://www.cdc.gov/coronavirus/2019-ncov/your-health/about-covid-19.html.
[Accessed on Oct. 01, 2023].
2.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; World
Health Organization. Coronavirus disease (COVID-19) pandemic. https://www.who.int/europe/emergencies/situations/covid-19. [Accessed on Oct. 01, 2023].
3.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; World
Health Organization.WHO COVID-19 dashboard. https://covid19.who.int.[Accessed
on Oct. 01, 2023]
4.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Isasi F, Naylor MD, Skorton D, Grabowski DC,
Hernández S, Rice VM. Patients, families, and communities COVID-19 impact
assessment: Lessons learned and compelling needs. NAM Perspect.
2021; 2021: 10.31478/202111c. doi: 10.31478/202111c.
5.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Centers
for Disease Control and Prevention. COVID data
tracker.https://covid.cdc.gov/covid-data-tracker. [Accessed on Oct. 01, 2023].
6.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Boehmer TK, Koumans EH,
Skillen EL, Kappelman MD, Carton TW, Patel A, et al. Racial and ethnic
disparities in outpatient treatment of COVID-19 - United States, January-July
2022. MMWR Morb Mortal Wkly Rep. 2022; 71(43): 1359-1365. doi:
10.15585/mmwr.mm7143a2.
7.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Lopez L 3rd,
Hart LH 3rd, Katz MH. Racial and ethnic
health disparities related to COVID-19. JAMA. 2021;
325(8): 719–720. doi:10.1001/jama.2020.26443.
8.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Mahase
E. Covid-19:
Lockdowns and masks helped reduce transmission, expert group finds. BMJ.
2023; 382:1959. doi:10.1136/bmj.p1959.
9.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Centers
for Disease Control and Prevention. End of the federal COVID-19 public health
emergency (PHE) declaration. 2023; https://www.cdc.gov/coronavirus/2019-ncov/your-health/end-of-phe.html.
[Accessed on Nov. 20, 2023].
10.&amp;nbsp; Centers for Disease Control and Prevention.
Update on SARS CoV-2 variant BA.2.86. 2023; https://www.cdc.gov/respiratory-viruses/whats-new/covid-19-variant-update-2023-09-08.html.
[Accessed on Nov. 20, 2023]
11.&amp;nbsp; Centers for Disease Control and Prevention.
Stay up to date with COVID-19 vaccines. 2023; https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html.
[Accessed on Nov. 20, 2023]
12.&amp;nbsp; Johnston
CD, Chen RX. The COVID-19 pandemic and its impact on the southern United
States. J Comp Fam Stud.
2020; 51(3–4): 314–323. doi:
covidwho-972369. 
13.&amp;nbsp; Laughland
O. Death by structural poverty: US south struggles against Covid-19. 2020; https://www.theguardian.com/world/2020/aug/05/us-deep-south-racism-poverty-fuel-coronavirus-pandemic.
[Accessed on Oct. 01, 2023].
14.&amp;nbsp; Ahmad FB, Cisewski JA, Xu J,
Anderson RN. COVID-19 mortality update - United States, 2022.MMWR
Morb Mortal Wkly Rep. 2023; 72(18):493-496. doi:10.15585/mmwr.mm7218a4.
15.&amp;nbsp; SAS Studio, SAS Studio SAS Support. (n.d.) https://support.sas.com/en/software/studio-support.html.
[Accessed on Nov. 22, 2023].&amp;nbsp;
16.&amp;nbsp; National Cancer Institute. Division of Cancer Control &amp;amp;
Population Sciences. Joinpoint Trend Analysis Software. 2023;
https://surveillance.cancer.gov/joinpoint/ [Accessed on Nov. 22, 2023].&amp;nbsp;
17.&amp;nbsp; Science Direct. Bayesian information criterion - an overview.
(n.d.) https://www.sciencedirect.com/topics/social-sciences/bayesian-information-criterion.
[Accessed on Nov. 22, 2023].
18.&amp;nbsp; Joinpoint Help System. Annual percent change
(APC) and confidence interval. https://surveillance.cancer.gov/help/joinpoint/setting-parameters/method-and-parameters-tab/apc-aapc-tau-confidence-intervals/estimate-average-percent-change-apc-and-confidence-interval.
[Accessed on Nov. 22, 2023].
19.&amp;nbsp; Joinpoint Help System. Average annual percent
change (AAPC) and confidence interval. https://surveillance.cancer.gov/help/joinpoint/setting-parameters/method-and-parameters-tab/apc-aapc-tau-confidence-intervals/average-annual-percent-change-aapc#:~:text=Thus%2C%20the%20AAPC%20is%20computed,1%20%7D%20x%20100%20%3D%200.7.
[Accessed on Nov. 22, 2023].
20.&amp;nbsp; Centers for Disease Control and Prevention. Covid Data tracker. https://covid.cdc.gov/covid-data-tracker/#datatracker-home.
[Accessed Nov. 22, 2023].&amp;nbsp;
21.&amp;nbsp; Mitra AK.&amp;nbsp;Epidemiology for Dummies. 1st ed. John
Wiley &amp;amp; Sons; 2023.
22.&amp;nbsp; Jackson SL, Derakhshan S, Blackwood L, Lee L,
Huang Q, Habets M, et al. Spatial
disparities of COVID-19 cases and fatalities in United States counties.&amp;nbsp;Int J
Environ Res Public Health. 2021; 18(16):
8259. doi:10.3390/ijerph18168259.
23.&amp;nbsp; Joshi A, Kaur M, Kaur R, Grover A, Nash D,
El-Mohandes A. Predictors of COVID-19 vaccine acceptance,
intention, and hesitancy: A scoping review. Front Public Health. 2021; 9:
698111. doi:10.3389/fpubh.2021.698111.
24.&amp;nbsp; Ndayishimiye C, Sowada C, Dyjach P, Stasiak A, Middleton J, Lopes
H, et al. Associations between the COVID-19 pandemic and
hospital infrastructure adaptation and planning - a scoping review.&amp;nbsp;Int
J Environ Res Public Health. 2022; 19(13): 8195. doi:10.3390/ijerph19138195.
25.&amp;nbsp; Pro G, Schumacher K, Hubach R, Zaller N, Giano
Z, Camplain R, et al. US trends in mask
wearing during the COVID-19 pandemic depend on rurality. Rural Remote Health. 2021; 21(3): 6596. doi:10.22605/rrh6596.
26.&amp;nbsp; Kniep N, Achidi T, Flynn C,
Gangur J, Khot M, Kueider L, et al.County-level sociodemographic factors associated with
COVID-19 incidence and mortality in North and South Carolina. N C Med J.
2022; 83(5): 366–374. doi:10.18043/ncm.83.5.366.
27.&amp;nbsp; Aburto JM, Tilstra AM, Floridi G, Dowd JB. Significant impacts of
the COVID-19 pandemic on race/ethnic differences in US mortality.&amp;nbsp;Proc
Natl Acad Sci. U S A.
2022; 119(35): e2205813119. doi:10.1073/pnas.2205813119.&amp;nbsp;
28.&amp;nbsp; The
Lancet Infectious Diseases. Political casualties of the COVID-19 pandemic. Lancet
Infect Dis. 2020; 20(7): 755.
doi:10.1016/s1473-3099(20)30496-5.&amp;nbsp;[Editorial].Cite
this article as:Holden B-L, Edet PP,&amp;nbsp;
Jones EAK, Mitra AK. Trends of COVID-19 mortality
and hospitalization rates in southern states of the United States,
2020-2023.&amp;nbsp; IMC J Med Sci. 2024; 18(2):001.&amp;nbsp; DOI: https://doi.org/10.55010/imcjms.18.013.  </description>

            </item>
            
    <copyright>2026 Ibrahim Medical College. All rights reserved.</copyright>
</channel>
</rss>
