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Article ; Online: Epidemiological intelligence community network intervention: a community response for COVID-19 community transmission.

Marzan-Rodríguez, Melissa / Muniz-Rodriguez, Kamalich / Morales, Luisa M / Martínez, Iris S / Torres-Borrero, Natasha / Castro-Figueroa, Eida M

BMC public health

2023 Volume 23, Issue 1, Page(s) 1044

Abstract: Background: Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health ... ...

Abstract	Background: Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health disparities. The Epidemiological Intelligence Community Network (EpI-Net) community-based intervention sought to increase coronavirus 2019 (COVID-19) testing uptake and prevention practices among SVC in Puerto Rico (PR). We evaluated EpI-Net's community leaders' capacity-building component by assessing pre-post COVID-19 public health workshops' tests' score changes and satisfaction among trained community leaders. Methods: A total of 24 community leaders from SVC in PR have completed four community workshops. Pre- and post-assessments were completed as part of the health promotors training program to evaluate participants' tests score changes and satisfaction outcomes. Results: Preliminary results showed: (1) high intervention retention levels of community leaders (85.7% acceptance rate); (2) change in post-test scores for community engagement strategies (p = 0.012); (3) change in post-test educational scores in COVID-19 prevention practices (p = 0.014); and (4) a change in scores in public health emergency management strategies (p < 0.001). Conclusions: The overall workshop satisfaction was 99.6%. Community leaders have shown the importance of community capacity building as a key component for intervention feasibility and impact. Trial registration: Our study was retrospectively registered under the ClinicalTrial.gov ID NCT04910542.
MeSH term(s)	Humans ; SARS-CoV-2 ; COVID-19/epidemiology ; Community Networks ; Public Health ; Puerto Rico
Language	English
Publishing date	2023-06-01
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-023-15727-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Exploring Social Media Network Connections to Assist During Public Health Emergency Response: A Retrospective Case-Study of Hurricane Matthew and Twitter Users in Georgia, USA.

Muniz-Rodriguez, Kamalich / Schwind, Jessica S / Yin, Jingjing / Liang, Hai / Chowell, Gerardo / Fung, Isaac Chun-Hai

Disaster medicine and public health preparedness

2023 Volume 17, Page(s) e315

Abstract: Objective: To assist communities who suffered from hurricane-inflicted damages, emergency responders may monitor social media messages. We present a case-study using the event of Hurricane Matthew to analyze the results of an imputation method for the ... ...

Abstract	Objective: To assist communities who suffered from hurricane-inflicted damages, emergency responders may monitor social media messages. We present a case-study using the event of Hurricane Matthew to analyze the results of an imputation method for the location of Twitter users who follow school and school districts in Georgia, USA. Methods: Tweets related to Hurricane Matthew were analyzed by content analysis with latent Dirichlet allocation models and sentiment analysis to identify needs and sentiment changes over time. A hurdle regression model was applied to study the association between retweet frequency and content analysis topics. Results: Users residing in counties affected by Hurricane Matthew posted tweets related to preparedness ( Conclusions: Social media data can be used to detect and evaluate damages of communities affected by natural disasters and identify users' needs in at-risk areas before the event takes place to aid during the preparedness phases.
MeSH term(s)	Humans ; Public Health ; Georgia ; Social Media ; Cyclonic Storms ; Retrospective Studies
Language	English
Publishing date	2023-02-17
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	2375268-3
ISSN	1938-744X ; 1935-7893
ISSN (online)	1938-744X
ISSN	1935-7893
DOI	10.1017/dmp.2022.285
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Epidemiological intelligence community network intervention

Melissa Marzan-Rodríguez / Kamalich Muniz-Rodriguez / Luisa M. Morales / Iris S. Martínez / Natasha Torres-Borrero / Eida M. Castro-Figueroa

BMC Public Health, Vol 23, Iss 1, Pp 1-

a community response for COVID-19 community transmission

2023 Volume 8

Abstract: Abstract Background Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health ... ...

Abstract	Abstract Background Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health disparities. The Epidemiological Intelligence Community Network (EpI-Net) community-based intervention sought to increase coronavirus 2019 (COVID-19) testing uptake and prevention practices among SVC in Puerto Rico (PR). We evaluated EpI-Net’s community leaders’ capacity-building component by assessing pre-post COVID-19 public health workshops’ tests’ score changes and satisfaction among trained community leaders. Methods A total of 24 community leaders from SVC in PR have completed four community workshops. Pre- and post-assessments were completed as part of the health promotors training program to evaluate participants’ tests score changes and satisfaction outcomes. Results Preliminary results showed: (1) high intervention retention levels of community leaders (85.7% acceptance rate); (2) change in post-test scores for community engagement strategies (p = 0.012); (3) change in post-test educational scores in COVID-19 prevention practices (p = 0.014); and (4) a change in scores in public health emergency management strategies (p < 0.001). Conclusions The overall workshop satisfaction was 99.6%. Community leaders have shown the importance of community capacity building as a key component for intervention feasibility and impact. Trial registration Our study was retrospectively registered under the ClinicalTrial.gov ID NCT04910542.
Keywords	Community engagement ; COVID-19 response ; Capacity building ; Community leaders ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Stressors and Impact of the COVID-19 Pandemic on Vulnerable Hispanic Caregivers and Children.

Rodríguez-Rabassa, Mary / Torres-Marrero, Estefanía / López, Pablo / Muniz-Rodriguez, Kamalich / Borges-Rodríguez, Marilyn / Appleton, Allison A / Avilés-Santa, Larissa / Alvarado-Domenech, Luisa I

International journal of environmental research and public health

2023 Volume 20, Issue 3

Abstract: Psychological sequelae are important elements of the burden of disease among caregivers. Recognition of the impact of adversity and stress biomarkers is important to prevent mental health problems that affect rearing practices and child well-being. This ... ...

Abstract	Psychological sequelae are important elements of the burden of disease among caregivers. Recognition of the impact of adversity and stress biomarkers is important to prevent mental health problems that affect rearing practices and child well-being. This cross-sectional study explored social determinants of health (SDoH)-mediated stressors during COVID-19 and risks for mental health problems among caregivers of children with prenatal Zika virus exposure. Twenty-five Hispanic caregivers completed surveys assessing SDoH vulnerabilities, COVID-exposures and impact, post-traumatic stress disorder (PTSD) symptomatology, and provided a hair sample for cortisol concentration (HCC). Most caregivers had low education, household income < $15,000/year, and were unemployed. Stressors included disrupted child education and specialized services, and food insecurity. While most reported PTSD symptomatology, multivariate linear regression models adjusted for the caregiver's age, education, and the child's sex, revealed that caregivers with high symptomatology had significantly lower HCC than those with low symptomatology and those with food insecurity had significantly higher HCC than participants without food insecurity. The impact of COVID-19 on daily life was characterized on average between worse and better, suggesting variability in susceptibility and coping mechanisms, with the most resilient identifying community support and spirituality resources. SDoH-mediators provide opportunities to prevent adverse mental health outcomes for caregivers and their children.
MeSH term(s)	Child ; Humans ; Caregivers/psychology ; COVID-19/epidemiology ; Cross-Sectional Studies ; Hispanic or Latino ; Pandemics ; Health Disparate Minority and Vulnerable Populations ; Food Insecurity
Language	English
Publishing date	2023-01-19
Publishing country	Switzerland
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph20031838
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Article ; Online: Stressors and Impact of the COVID-19 Pandemic on Vulnerable Hispanic Caregivers and Children

Mary Rodríguez-Rabassa / Estefanía Torres-Marrero / Pablo López / Kamalich Muniz-Rodriguez / Marilyn Borges-Rodríguez / Allison A. Appleton / Larissa Avilés-Santa / Luisa I. Alvarado-Domenech

International Journal of Environmental Research and Public Health, Vol 20, Iss 1838, p

2023 Volume 1838

Abstract	Psychological sequelae are important elements of the burden of disease among caregivers. Recognition of the impact of adversity and stress biomarkers is important to prevent mental health problems that affect rearing practices and child well-being. This cross-sectional study explored social determinants of health (SDoH)-mediated stressors during COVID-19 and risks for mental health problems among caregivers of children with prenatal Zika virus exposure. Twenty-five Hispanic caregivers completed surveys assessing SDoH vulnerabilities, COVID-exposures and impact, post-traumatic stress disorder (PTSD) symptomatology, and provided a hair sample for cortisol concentration (HCC). Most caregivers had low education, household income < $15,000/year, and were unemployed. Stressors included disrupted child education and specialized services, and food insecurity. While most reported PTSD symptomatology, multivariate linear regression models adjusted for the caregiver’s age, education, and the child’s sex, revealed that caregivers with high symptomatology had significantly lower HCC than those with low symptomatology and those with food insecurity had significantly higher HCC than participants without food insecurity. The impact of COVID-19 on daily life was characterized on average between worse and better, suggesting variability in susceptibility and coping mechanisms, with the most resilient identifying community support and spirituality resources. SDoH-mediators provide opportunities to prevent adverse mental health outcomes for caregivers and their children.
Keywords	COVID-19 impact ; caregivers ; post-traumatic stress disorder symptomatology ; hair cortisol ; vulnerable children ; Hispanic ; Medicine ; R
Subject code	360
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SARS-CoV-2 Transmission in Alberta, British Columbia, and Ontario, Canada, December 25, 2019, to December 1, 2020.

Fung, Isaac Chun-Hai / Hung, Yuen Wai / Ofori, Sylvia K / Muniz-Rodriguez, Kamalich / Lai, Po-Ying / Chowell, Gerardo

Disaster medicine and public health preparedness

2021 , Page(s) 1–10

Abstract: Objective: This study aimed to investigate coronavirus disease (COVID-19) epidemiology in Alberta, British Columbia, and Ontario, Canada.: Methods: Using data through December 1, 2020, we estimated time-varying reproduction number, Rt, using EpiEstim ...

Abstract	Objective: This study aimed to investigate coronavirus disease (COVID-19) epidemiology in Alberta, British Columbia, and Ontario, Canada. Methods: Using data through December 1, 2020, we estimated time-varying reproduction number, Rt, using EpiEstim package in R, and calculated incidence rate ratios (IRR) across the 3 provinces. Results: In Ontario, 76% (92 745/121 745) of cases were in Toronto, Peel, York, Ottawa, and Durham; in Alberta, 82% (49 878/61 169) in Calgary and Edmonton; in British Columbia, 90% (31 142/34 699) in Fraser and Vancouver Coastal. Across 3 provinces, Rt dropped to ≤ 1 after April. In Ontario, Rt would remain < 1 in April if congregate-setting-associated cases were excluded. Over summer, Rt maintained < 1 in Ontario, ~1 in British Columbia, and ~1 in Alberta, except early July when Rt was > 1. In all 3 provinces, Rt was > 1, reflecting surges in case count from September through November. Compared with British Columbia (684.2 cases per 100 000), Alberta (IRR = 2.0; 1399.3 cases per 100 000) and Ontario (IRR = 1.2; 835.8 cases per 100 000) had a higher cumulative case count per 100 000 population. Conclusions: Alberta and Ontario had a higher incidence rate than British Columbia, but Rt trajectories were similar across all 3 provinces.
Language	English
Publishing date	2021-03-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	2375268-3
ISSN	1938-744X ; 1935-7893
ISSN (online)	1938-744X
ISSN	1935-7893
DOI	10.1017/dmp.2021.78
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Article ; Online: Winter Storms and Unplanned School Closure Announcements on Twitter: Comparison Between the States of Massachusetts and Georgia, 2017-2018.

Evans, Haley I / Handberry, Maya T / Muniz-Rodriguez, Kamalich / Schwind, Jessica S / Liang, Hai / Adhikari, Bishwa B / Meltzer, Martin I / Fung, Isaac Chun-Hai

Disaster medicine and public health preparedness

2022 Volume 17, Page(s) e132

Abstract: Objective: This project aimed to quantify and compare Massachusetts and Georgia public school districts' 2017-2018 winter-storm-related Twitter unplanned school closure announcements (USCA).: Methods: Public school district Twitter handles and ... ...

Abstract	Objective: This project aimed to quantify and compare Massachusetts and Georgia public school districts' 2017-2018 winter-storm-related Twitter unplanned school closure announcements (USCA). Methods: Public school district Twitter handles and National Center for Education Statistics data were obtained for Georgia and Massachusetts. Tweets were retrieved using Twitter application programming interface. Descriptive statistics and regression analyses were conducted to compare the rates of winter-storm-related USCA. Results: Massachusetts had more winter storms than Georgia during the 2017-2018 winter season, but Massachusetts school districts posted winter-storm-related USCA at a 60% lower rate per affected day (adjusted rate ratio, aRR = 0.40, 95% confidence intervals, CI: 0.30, 0.52) than Georgia school districts after controlling for the student enrollments and Twitter followers count per Twitter account. A 10-fold increase in followers count was correlated with a 118% increase in USCA rate per affected day (aRR = 2.18; 95% CI: 1.74, 2.75). Georgia school districts had a higher average USCA tweet rate per winter-storm-affected day than Massachusetts school districts. A higher number of Twitter followers was associated with a higher number of USCA tweets per winter-storm-affected day. Conclusion: Twitter accounts of school districts in Massachusetts had a lower tweet rate for USCA per winter-storm-affected days than those in Georgia.
MeSH term(s)	Humans ; Georgia ; Social Media ; Massachusetts ; Schools ; Data Collection
Language	English
Publishing date	2022-04-11
Publishing country	United States
Document type	Journal Article ; Research Support, U.S. Gov't, P.H.S.
ZDB-ID	2375268-3
ISSN	1938-744X ; 1935-7893
ISSN (online)	1938-744X
ISSN	1935-7893
DOI	10.1017/dmp.2022.41
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Article ; Online: Spatially Refined Time-Varying Reproduction Numbers of COVID-19 by Health District in Georgia, USA, March-December 2020.

Ogwara, Chigozie A / Mallhi, Arshpreet Kaur / Hua, Xinyi / Muniz-Rodriguez, Kamalich / Schwind, Jessica S / Zhou, Xiaolu / Jones, Jeffery A / Chopak-Foss, Joanne / Chowell, Gerardo / Fung, Isaac Chun-Hai

Epidemiolgia (Basel, Switzerland)

2021 Volume 2, Issue 2, Page(s) 179–197

Abstract: This study quantifies the transmission potential of SARS-CoV-2 across public health districts in Georgia, USA, and tests if per capita cumulative case count varies across counties. To estimate the time-varying reproduction number, ...

Abstract	This study quantifies the transmission potential of SARS-CoV-2 across public health districts in Georgia, USA, and tests if per capita cumulative case count varies across counties. To estimate the time-varying reproduction number,
Language	English
Publishing date	2021-05-28
Publishing country	Switzerland
Document type	Journal Article
ISSN	2673-3986
ISSN (online)	2673-3986
DOI	10.3390/epidemiologia2020014
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Article ; Online: Severe Acute Respiratory Syndrome Coronavirus 2 Transmission Potential, Iran, 2020.

Muniz-Rodriguez, Kamalich / Fung, Isaac Chun-Hai / Ferdosi, Shayesteh R / Ofori, Sylvia K / Lee, Yiseul / Tariq, Amna / Chowell, Gerardo

Emerging infectious diseases

2020 Volume 26, Issue 8, Page(s) 1915–1917

Abstract: To determine the transmission potential of severe acute respiratory syndrome coronavirus 2 in Iran in 2020, we estimated the reproduction number as 4.4 (95% CI 3.9-4.9) by using a generalized growth model and 3.5 (95% CI 1.3-8.1) by using epidemic ... ...

Abstract	To determine the transmission potential of severe acute respiratory syndrome coronavirus 2 in Iran in 2020, we estimated the reproduction number as 4.4 (95% CI 3.9-4.9) by using a generalized growth model and 3.5 (95% CI 1.3-8.1) by using epidemic doubling time. The reproduction number decreased to 1.55 after social distancing interventions were implemented.
MeSH term(s)	Betacoronavirus/growth & development ; Betacoronavirus/pathogenicity ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques/methods ; Communicable Disease Control/methods ; Communicable Disease Control/organization & administration ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Humans ; Incidence ; Iran/epidemiology ; Models, Statistical ; Pandemics/prevention & control ; Physical Distancing ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; SARS-CoV-2 ; Time Factors
Keywords	covid19
Language	English
Publishing date	2020-04-22
Publishing country	United States
Document type	Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	1380686-5
ISSN	1080-6059 ; 1080-6040
ISSN (online)	1080-6059
ISSN	1080-6040
DOI	10.3201/eid2608.200536
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Article ; Online: Time-varying Reproduction Numbers of COVID-19 in Georgia, USA, March 2, 2020 to November 20, 2020.

Muniz-Rodriguez, Kamalich / Chowell, Gerardo / Schwind, Jessica S / Ford, Randall / Ofori, Sylvia K / Ogwara, Chigozie A / Davies, Margaret R / Jacobs, Terrence / Cheung, Chi-Hin / Cowan, Logan T / Hansen, Andrew R / Chun-Hai Fung, Isaac

The Permanente journal

2021 Volume 25

Abstract: Background: In 2020, Severe Acute Respiratory Syndrome Coronavirus 2 impacted Georgia, USA. Georgia announced a state-wide shelter-in-place on April 2 and partially lifted restrictions on April 27. We estimated the time-varying reproduction numbers (R!## ...

Abstract	Background: In 2020, Severe Acute Respiratory Syndrome Coronavirus 2 impacted Georgia, USA. Georgia announced a state-wide shelter-in-place on April 2 and partially lifted restrictions on April 27. We estimated the time-varying reproduction numbers (R Methods: We analyzed the daily incidence of confirmed COVID-19 cases in Georgia, Metro Atlanta, and Dougherty County and its surrounding counties, and estimated R Results: The median R Conclusions: In Spring 2020, Severe Acute Respiratory Syndrome Coronavirus 2 transmission in Georgia declined likely because of social distancing measures. However, because restrictions were relaxed in late April and elections were conducted in November, community transmission continued, with R
MeSH term(s)	COVID-19/epidemiology ; Georgia/epidemiology ; Humans ; Incidence ; SARS-CoV-2 ; Time
Language	English
Publishing date	2021-05-11
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	2062823-7
ISSN	1552-5775 ; 1552-5775
ISSN (online)	1552-5775
ISSN	1552-5775
DOI	10.7812/TPP/20.232
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