Osong Public Health and Research Perspectives

Original Articles

Risk factors associated with death due to severe fever with thrombocytopenia syndrome in hospitalized Korean patients (2018–2022): Jia Kim, Hyo-jeong Hong, Ji-hye Hwang, Na-Ri Shin, Kyungwon Hwang; Osong Public Health Res Perspect. 2023;14(3):151-163. Published online June 8, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0048

1,685 View
176 Download

Graphical Abstract Abstract PDF: Objectives
Severe fever with thrombocytopenia syndrome (SFTS) has no vaccine or treatment and an extremely high fatality rate. We aimed to analyze and evaluate the risk factors for death associated with SFTS.
Methods
Among reports from 2018 to 2022, we compared and analyzed 1,034 inpatients aged 18 years or older with laboratory-confirmed SFTS who underwent complete epidemiological investigations.
Results
Most of the inpatients with SFTS were aged 50 years or older (average age, 67.6 years). The median time from symptom onset to death was 9 days, and the average case fatality rate was 18.5%. Risk factors for death included age of 70 years or older (odds ratio [OR], 4.82); agriculture-related occupation (OR, 2.01); underlying disease (OR, 7.20); delayed diagnosis (OR, 1.28 per day); decreased level of consciousness (OR, 5.53); fever/chills (OR, 20.52); prolonged activated partial thromboplastin time (OR, 4.19); and elevated levels of aspartate aminotransferase (OR, 2.91), blood urea nitrogen (OR, 2.62), and creatine (OR, 3.21).
Conclusion
The risk factors for death in patients with SFTS were old age; agriculture-related occupation; underlying disease; delayed clinical suspicion; fever/chills; decreased level of consciousness; and elevated activated partial thromboplastin time, aspartate aminotransferase, blood urea nitrogen, and creatine levels.

Early Epidemiological and Clinical Characteristics of 28 Cases of Coronavirus Disease in South Korea: Osong Public Health Res Perspect. 2020;11(1):8-14. Published online February 28, 2020; DOI: https://doi.org/10.24171/j.phrp.2020.11.1.03

23,749 View
759 Download
84 Web of Science
84 Crossref

Objectives

The first confirmed case of coronavirus disease 2019 (COVID-19) in South Korea was reported in January 2020, with 28 confirmed cases reported as of February 14^th, 2020. The epidemiological and clinical characteristics of all 28 cases were analyzed in response to this disease.

Methods

The epidemiological characteristics and early clinical features of the 28 patients from Korea with confirmed COVID-19 were analyzed using COVID-19 reporting and surveillance data and the epidemiological investigation reports prepared by the rapid response team.

Results

There were 16 patients that entered Korea from foreign countries: Wuhan, China (11 patients), Zhuhai, China, (1 patient), Singapore (2 patients), Japan (1 patient), and Thailand (1 patient). The early symptoms were fever, sore throat, cough or sputum production, chills, and muscle ache. Three patients were asymptomatic, however, 18 developed pneumonia. Of the 28 cases, 16 were index cases imported from abroad, with 10 cases of secondary infection originating in Korea, and the route of transmission still under investigation for 2 patients. The 10 patients with secondary infection were infected from contact with family members or acquaintances of primary patients, and the suspected sites of transmission were mostly at home.

Conclusion

COVID-19 in Korea was spread by 16 infected individuals traveling from other countries, leading to second-generation cases. The initial symptoms were mostly minor, but the disease was infectious at this stage, resulting from close contact, particularly at home. Establishing an early detection strategy for COVID-19 is crucial for managing the transmission of the disease.

Citations

Citations to this article as recorded by

Environmental routes of virus transmission and the application of nanomaterial-based sensors for virus detection
Wei Wang, Seju Kang, Wei Zhou, Peter J. Vikesland
Environmental Science: Nano.2023; 10(2): 393. CrossRef
COVID-19: Mechanisms, risk factors, genetics, non-coding RNAs and neurologic impairments
Irina Gilyazova, Yanina Timasheva, Alexandra Karunas, Anastasiya Kazantseva, Albert Sufianov, Andrey Mashkin, Gulnaz Korytina, Yaolou Wang, Ilgiz Gareev, Elza Khusnutdinova
Non-coding RNA Research.2023; 8(2): 240. CrossRef
Asymptomatic infection and transmission of COVID-19 among clusters: systematic review and meta-analysis
K. Ravindra, V.S. Malik, B.K. Padhi, S. Goel, M. Gupta
Public Health.2022; 203: 100. CrossRef
Prevalence of comorbidities and symptoms stratified by severity of illness amongst adult patients with COVID-19: a systematic review
Ritambhara Pandey, Devesh Rai, Muhammad Tahir, Abdul Wahab, Dhrubajyoti Bandyopadhyay, Emil Lesho, Maryrose Laguio-Vila, Emilio Fentanes, Raseen Tariq, Srihari Naidu, Wilbert Aronow
Archives of Medical Science – Atherosclerotic Dise.2022; 7(1): 5. CrossRef
Diagnostic power of one-step and two-step RT-qPCR methods to SARS‑CoV‑2 detection
Asra Malekshahi, Sayyad Khanizadeh, Shirzad Fallahi, Gholamreza Talei, Mehdi Birjandi, Faezeh Hajizadeh
BMC Infectious Diseases.2022;[Epub] CrossRef
Unintended beneficial effects of COVID-19 on influenza-associated emergency department use in Korea
Sola Kim, Ju Ok Park, Hye Ah. Lee, Hang A. Park, Choung Ah. Lee, Soon-Joo Wang, Eun Ju Jung
The American Journal of Emergency Medicine.2022; 59: 1. CrossRef
The Impact of COVID-19 on Psychological and Social Stigma for Indonesian Nurses: A Cross-Sectional Survey
Mustikasari Mustikasari, Harif Fadhillah, Apri Sunadi, Nursalam Nursalam, Ati Surya Mediawati, Muhammad Adam
Frontiers in Psychiatry.2022;[Epub] CrossRef
The Impact of Chest Computed Tomography in A Covid-19 Reference Hospital - First Wave - Distrito Federal - Brazil
Gleim Dias De Souza, Luciana Rodrigues Queiroz De Souza, Gabriela Gomes De Souza, Thales Queiroz Souza, Ulysses Rodrigues Castro, Adriano Guimaraes Ibiapina, Paulo Henrique Ramos Feitosa, Sérgio Aron Ajzen, Ian James Martins
International Journal of Coronaviruses.2022; 4(3): 28. CrossRef
Identification of Bacteria and Fungi in Various Types of Multi-Use Facilities in Bucheon, South Korea
Min-kyeong Kim, Sung chul Seo, Duckshin Park
Environments.2022; 9(11): 136. CrossRef
Identification of Infectious Bacteria and Fungi in Various Types of Multi-Use Facilities in Bucheon, South Korea
Min-kyeong KIM, sung chul Seo, Duckshin Park
SSRN Electronic Journal .2022;[Epub] CrossRef
Response System for and Epidemiological Features of COVID-19 in Gyeongsangnam-do Province in South Korea
Yu Mi Wi, Su Jin Lim, Si-Ho Kim, Seungjin Lim, Su Jin Lee, Byung-Han Ryu, Sun In Hong, Oh-Hyun Cho, Kyunglan Moon, Kyung-Wook Hong, Sunjoo Kim, In-Gyu Bae
Clinical Infectious Diseases.2021; 72(4): 661. CrossRef
A Meta‐Analysis of 67 Studies with Presenting Symptoms and Laboratory Tests of COVID‐19 Patients
Manish Mair, Hitesh Singhavi, Ameya Pai, Jinesh Singhavi, Prachi Gandhi, Peter Conboy, Andrew Baker, Sudip Das
The Laryngoscope.2021; 131(6): 1254. CrossRef
Gastrointestinal and renal complications in SARS‐CoV‐2‐infected patients: Role of immune system
Fatemeh Maghool, Ali Valiani, Tahereh Safari, Mohammad Hassan Emami, Samane Mohammadzadeh
Scandinavian Journal of Immunology.2021;[Epub] CrossRef
Experience of 101 patients with coronavirus infectious disease 2019 (COVID-19) at a tertiary care center in Japan
Kenta Yao, Shinya Hasegawa, Yasuaki Tagashira, Akane Takamatsu, Yuki Uenoyama, Keiki Shimizu, Hitoshi Honda, Yoshiki Nagai, Koichiro Okumura, Tomoko Onda, Takuya Kakutani, Takami Seki, Takuro Sekine, Yasunori Yoshida, Haruka Miyamoto, Kenta Furuhashi, Fuj
Journal of Infection and Chemotherapy.2021; 27(2): 413. CrossRef
Can Stimulus Checks Boost an Economy Under Covid-19? Evidence from South Korea
Moon Jung Kim, Soohyung Lee
International Economic Journal.2021; 35(1): 1. CrossRef
Características y evolución de los pacientes COVID-19 en un centro de salud urbano al inicio de la pandemia
Karen Ruth Barroso López, Paloma Peñasco García, Clara Isabel Soria López, María Carmen Pérez Fernández, José Generoso Gómez Cruz, Yolanda González Silva
Atención Primaria.2021; 53(2): 101957. CrossRef
Clinical Characteristics and Diagnostic Challenges of COVID−19: An Update From the Global Perspective
S. M. Hasan Israfil, Md. Moklesur Rahman Sarker, Parisa Tamannur Rashid, Ali Azam Talukder, Khandkar Ali Kawsar, Farzana Khan, Selina Akhter, Chit Laa Poh, Isa Naina Mohamed, Long Chiau Ming
Frontiers in Public Health.2021;[Epub] CrossRef
A new SYBR Green real-time PCR to detect SARS-CoV-2
D. R. Marinowic, G. Zanirati, F. V. F. Rodrigues, M. V. C. Grahl, A. M. Alcará, D. C. Machado, J. C. Da Costa
Scientific Reports.2021;[Epub] CrossRef
Risk factors for SARS-CoV-2 infection in health care workers and prevention measures
Nadezhda I. Shulakova, Aleksey V. Tutelyan, Olga A. Kvasova, Vasiliy G. Akimkin, Alexander V. Konyukhov
Russian Journal of Occupational Health and Industr.2021; 61(1): 34. CrossRef
COVID‐19 in Australia: our national response to the first cases of SARS‐CoV‐2 infection during the early biocontainment phase
Ramon Z. Shaban, Cecilia Li, Matthew V. N. O'Sullivan, John Gerrard, Rhonda L. Stuart, Joanne Teh, Nicole Gilroy, Tania C. Sorrell, Elizabeth White, Shopna Bag, Kate Hackett, Sharon C. A. Chen, Jen Kok, Dominic E. Dwyer, Jonathan R. Iredell, Susan Maddock
Internal Medicine Journal.2021; 51(1): 42. CrossRef
A Meta-analysis on the Role of Children in Severe Acute Respiratory Syndrome Coronavirus 2 in Household Transmission Clusters
Yanshan Zhu, Conor J Bloxham, Katina D Hulme, Jane E Sinclair, Zhen Wei Marcus Tong, Lauren E Steele, Ellesandra C Noye, Jiahai Lu, Yao Xia, Keng Yih Chew, Janessa Pickering, Charles Gilks, Asha C Bowen, Kirsty R Short
Clinical Infectious Diseases.2021; 72(12): e1146. CrossRef
East–West differences in clinical manifestations of COVID‐19 patients: A systematic literature review and meta‐analysis
Xiucheng Liu, Xiang Li, Teng Sun, Hao Qin, Yeqing Zhou, Chenghang Zou, Junli Cao, Hao Zhang
Journal of Medical Virology.2021; 93(5): 2683. CrossRef
Gastroenterological and hepatic manifestations of patients with COVID-19, prevalence, mortality by country, and intensive care admission rate: systematic review and meta-analysis
Mohammad Shehab, Fatema Alrashed, Sameera Shuaibi, Dhuha Alajmi, Alan Barkun
BMJ Open Gastroenterology.2021; 8(1): e000571. CrossRef
Vitamin D and COVID-19: is there a role?
Aysha Habib Khan, Noreen Nasir, Nosheen Nasir, Quratulain Maha, Rehana Rehman
Journal of Diabetes & Metabolic Disorders.2021; 20(1): 931. CrossRef
SARS-CoV-2 routes of transmission and recommendations for preventing acquisition: joint British Infection Association (BIA), Healthcare Infection Society (HIS), Infection Prevention Society (IPS) and Royal College of Pathologists (RCPath) guidance
A. Bak, M.A. Mugglestone, N.V. Ratnaraja, J.A. Wilson, L. Rivett, S.M. Stoneham, J. Bostock, S.E. Moses, J.R. Price, M. Weinbren, H.P. Loveday, J. Islam, A.P.R. Wilson
Journal of Hospital Infection.2021; 114: 79. CrossRef
SARS-Cov2: a meta-analysis of symptom distribution by continent in 7310 adult COVID-19 infected patients
Hitesh Singhavi, Ameya Pai, Manish Mair, Jinesh Singhavi, Prachi Gandhi, Andrew Baker, Sudip Das, Sanjeev Kumar, Peter Conboy
VirusDisease.2021; 32(3): 400. CrossRef
Differences in seroprevalence between epicenter and non-epicenter areas of the COVID-19 outbreak in South Korea
Hye Won Jeong, Hyun-Ha Chang, Eun Ji Kim, Yu Kyung Kim, Se-Mi Kim, Eun-Ha Kim, Young-Il Kim, Mark Anthony B. Casel, Seong-Gyu Kim, Rare Rollon, Seung-Gyu Jang, Kwang-Min Yu, Hee-Sung Kim, Hee Sue Park, Su-Jin Park, Yong-Dae Kim, Eung-Gook Kim, Young Ki Ch
Journal of Microbiology.2021; 59(5): 530. CrossRef
Upper respiratory tract and otolaryngological manifestations of coronavirus disease 2019 (COVID-19): A systemic review
Jamil N Al-Swiahb, Mohammed A Motiwala
SAGE Open Medicine.2021; 9: 205031212110169. CrossRef
Antiviral peptides against the main protease of SARS-CoV-2: A molecular docking and dynamics study
Shafi Mahmud, Suvro Biswas, Gobindo Kumar Paul, Mohasana Akter Mita, Shamima Afrose, Md. Robiul Hasan, Mst. Sharmin Sultana Shimu, Mohammad Abu Raihan Uddin, Md. Salah Uddin, Shahriar Zaman, K.M. Kaderi Kibria, Md. Arif Khan, Talha Bin Emran, Md. Abu Sale
Arabian Journal of Chemistry.2021; 14(9): 103315. CrossRef
Ações de vigilância à saúde integradas à Atenção Primária à Saúde diante da pandemia da COVID-19: contribuições para o debate
Nilia Maria de Brito Lima Prado, Daniela Gomes dos Santos Biscarde, Elzo Pereira Pinto Junior, Hebert Luan Pereira Campos dos Santos, Sara Emanuela de Carvalho Mota, Erica Lima Costa de Menezes, Josilene Silva Oliveira, Adriano Maia dos Santos
Ciência & Saúde Coletiva.2021; 26(7): 2843. CrossRef
Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis
Pratha Sah, Meagan C. Fitzpatrick, Charlotte F. Zimmer, Elaheh Abdollahi, Lyndon Juden-Kelly, Seyed M. Moghadas, Burton H. Singer, Alison P. Galvani
Proceedings of the National Academy of Sciences.2021;[Epub] CrossRef
Gastrointestinal and hepatic diseases during the COVID-19 pandemic: Manifestations, mechanism and management
Dina Zakaria Mohamed, Mai El-Sayed Ghoneim, Sally El-Sayed Abu-Risha, Ramy Ahmed Abdelsalam, Mohamed Abdelhalem Farag
World Journal of Gastroenterology.2021; 27(28): 4504. CrossRef
Pneumonia-targeted lopinavir/ritonavir-based treatment for patients with COVID-19: an early-period retrospective single center observational study
Jongkyu Kim, Jiwoong Jung, Tae Ho Kim, Naree Kang, Hanzo Choi, Dong Hyun Oh, Mi Young Ahn, Su hyun Kim, Chorom Hahm, Young Kyong Lee, Keunhong Park, Kiho Hong, Jae-phil Choi
BMC Infectious Diseases.2021;[Epub] CrossRef
A Comprehensive Overview of the Newly Emerged COVID-19 Pandemic: Features, Origin, Genomics, Epidemiology, Treatment, and Prevention
Md. Sarker, A. Hasan, Md. Rafi, Md. Hossain, H. El-Mageed, Reem Elsapagh, Raffaele Capasso, Talha Emran
Biologics.2021; 1(3): 357. CrossRef
Impact of COVID-19 Pandemic on Cancer Surgical Services—AIIMS, New Delhi Experience
S. V. S. Deo, Sunil Kumar, Mukurdipi Ray, Sandeep Bhoriwal, Ashutosh Mishra, Jyoti Sharma, Raghuram K, Naveen Kumar, Jyoutishman Saikia, Babul Bansal, Amitabha Mandal, Kunal Dhall, Manish Gaur, Sourabh Nandi, Madiwalesh Chhebbi, Sushma Bhatnagar, Seema Mi
Indian Journal of Surgical Oncology.2021; 12(S2): 294. CrossRef
Effectiveness for the Response to COVID-19: The MERS Outbreak Containment Procedures
Hae-Wol Cho
Osong Public Health and Research Perspectives.2020; 11(1): 1. CrossRef
Coronavirus Disease-19: Summary of 2,370 Contact Investigations of the First 30 Cases in the Republic of Korea

Osong Public Health and Research Perspectives.2020; 11(2): 81. CrossRef
Clinical Course and Outcomes of Patients with Severe Acute Respiratory Syndrome Coronavirus 2 Infection: a Preliminary Report of the First 28 Patients from the Korean Cohort Study on COVID-19
Eu Suk Kim, Bum Sik Chin, Chang Kyung Kang, Nam Joong Kim, Yu Min Kang, Jae-Phil Choi, Dong Hyun Oh, Jeong-Han Kim, Boram Koh, Seong Eun Kim, Na Ra Yun, Jae-Hoon Lee, Jin Yong Kim, Yeonjae Kim, Ji Hwan Bang, Kyoung-Ho Song, Hong Bin Kim, Ki-hyun Chung, My
Journal of Korean Medical Science.2020;[Epub] CrossRef
COVID-19 in otolaryngologist practice: a review of current knowledge
Joanna Krajewska, Wojciech Krajewski, Krzysztof Zub, Tomasz Zatoński
European Archives of Oto-Rhino-Laryngology.2020; 277(7): 1885. CrossRef
Coronavirus Disease Outbreak in Call Center, South Korea
Shin Young Park, Young-Man Kim, Seonju Yi, Sangeun Lee, Baeg-Ju Na, Chang Bo Kim, Jung-il Kim, Hea Sook Kim, Young Bok Kim, Yoojin Park, In Sil Huh, Hye Kyung Kim, Hyung Jun Yoon, Hanaram Jang, Kyungnam Kim, Yeonhwa Chang, Inhye Kim, Hyeyoung Lee, Jin Gwa
Emerging Infectious Diseases.2020; 26(8): 1666. CrossRef
Risk factors for predicting mortality in elderly patients with COVID-19: A review of clinical data in China
Char Leung
Mechanisms of Ageing and Development.2020; 188: 111255. CrossRef
Letter: Neurological Implications of COVID-19 and Lessons Learned From Prior Epidemics and Pandemics
Badih J Daou, Sravanthi Koduri, Gregory Palmateer, B Gregory Thompson, Neeraj Chaudhary, Joseph J Gemmete, Aditya S Pandey
Neurosurgery.2020; 87(2): E234. CrossRef
Guiding Principles for Cancer Surgery during the COVID-19 Pandemic
S. V. S. Deo, Sunil Kumar, Naveen Kumar, Jyoutishman Saikia, Sandeep Bhoriwal, Sushma Bhatnagar, Atul Sharma
Indian Journal of Surgical Oncology.2020; 11(S1): 3. CrossRef
The CoV-2 outbreak: how hematologists could help to fight Covid-19
Sara Galimberti, Chiara Baldini, Claudia Baratè, Federica Ricci, Serena Balducci, Susanna Grassi, Francesco Ferro, Gabriele Buda, Edoardo Benedetti, Rita Fazzi, Laura Baglietto, Ersilia Lucenteforte, Antonello Di Paolo, Mario Petrini
Pharmacological Research.2020; 157: 104866. CrossRef
Comparison of Epidemiological Variations in COVID-19 Patients Inside and Outside of China—A Meta-Analysis
Ali Ahmed, Areeba Ali, Sana Hasan
Frontiers in Public Health.2020;[Epub] CrossRef
Clinical Features, Diagnosis, and Treatment of COVID-19 in Hospitalized Patients: A Systematic Review of Case Reports and Case Series
Azin Tahvildari, Mahta Arbabi, Yeganeh Farsi, Parnian Jamshidi, Saba Hasanzadeh, Tess Moore Calcagno, Mohammad Javad Nasiri, Mehdi Mirsaeidi
Frontiers in Medicine.2020;[Epub] CrossRef
SARS-CoV-2/COVID-19: Viral Genomics, Epidemiology, Vaccines, and Therapeutic Interventions
Mohammed Uddin, Farah Mustafa, Tahir A. Rizvi, Tom Loney, Hanan Al Suwaidi, Ahmed H. Hassan Al-Marzouqi, Afaf Kamal Eldin, Nabeel Alsabeeha, Thomas E. Adrian, Cesare Stefanini, Norbert Nowotny, Alawi Alsheikh-Ali, Abiola C. Senok
Viruses.2020; 12(5): 526. CrossRef
Neurologic Characteristics in Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis
Rizaldy Taslim Pinzon, Vincent Ongko Wijaya, Ranbebasa Bijak Buana, Abraham Al Jody, Patrick Nalla Nunsio
Frontiers in Neurology.2020;[Epub] CrossRef
AGA Institute Rapid Review of the Gastrointestinal and Liver Manifestations of COVID-19, Meta-Analysis of International Data, and Recommendations for the Consultative Management of Patients with COVID-19
Shahnaz Sultan, Osama Altayar, Shazia M. Siddique, Perica Davitkov, Joseph D. Feuerstein, Joseph K. Lim, Yngve Falck-Ytter, Hashem B. El-Serag
Gastroenterology.2020; 159(1): 320. CrossRef
Detection of Novel Coronavirus on the Surface of Environmental Materials Contaminated by COVID-19 Patients in the Republic of Korea
Sang-Eun Lee, Deog-Yong Lee, Wook-Gyo Lee, ByeongHak Kang, Yoon Suk Jang, Boyeong Ryu, SeungJae Lee, Hyunjung Bahk, Eungyu Lee
Osong Public Health and Research Perspectives.2020; 11(3): 128. CrossRef
COVID-19: from epidemiology to treatment
J M Pericàs, M Hernandez-Meneses, T P Sheahan, E Quintana, J Ambrosioni, E Sandoval, C Falces, M A Marcos, M Tuset, A Vilella, A Moreno, J M Miro, Jose M Miró, Juan Ambrosioni, Juan M Pericàs, Adrian Téllez, Marta Hernandez-Meneses, Delia Garcia-Pares, As
European Heart Journal.2020; 41(22): 2092. CrossRef
Gastrointestinal Manifestations of SARS-CoV-2 Infection and Virus Load in Fecal Samples From a Hong Kong Cohort: Systematic Review and Meta-analysis
Ka Shing Cheung, Ivan F.N. Hung, Pierre P.Y. Chan, K.C. Lung, Eugene Tso, Raymond Liu, Y.Y. Ng, Man Y. Chu, Tom W.H. Chung, Anthony Raymond Tam, Cyril C.Y. Yip, Kit-Hang Leung, Agnes Yim-Fong Fung, Ricky R. Zhang, Yansheng Lin, Ho Ming Cheng, Anna J.X. Zh
Gastroenterology.2020; 159(1): 81. CrossRef
Clinical manifestations and evidence of neurological involvement in 2019 novel coronavirus SARS-CoV-2: a systematic review and meta-analysis
Lei Wang, Yin Shen, Man Li, Haoyu Chuang, Youfan Ye, Hongyang Zhao, Haijun Wang
Journal of Neurology.2020; 267(10): 2777. CrossRef
What do we know about COVID-19? A review article
Júlia Maggi Vieira, Olívia Moura de Paula Ricardo, Carolina Miranda Hannas, Tereza Cristina Moreira Kanadani, Tiago dos Santos Prata, Fábio Nishimura Kanadani
Revista da Associação Médica Brasileira.2020; 66(4): 534. CrossRef
Update on possible animal sources for COVID‐19 in humans
Tanja Opriessnig, Yao‐Wei Huang
Xenotransplantation.2020;[Epub] CrossRef
Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus
Gerry F. Killeen, Samson S. Kiware
Infectious Disease Modelling.2020; 5: 442. CrossRef
COVID‐19: Focus on the lungs but do not forget the gastrointestinal tract
Wiktor Smyk, Maciej K. Janik, Piero Portincasa, Piotr Milkiewicz, Frank Lammert, Marcin Krawczyk
European Journal of Clinical Investigation.2020;[Epub] CrossRef
Headache is an important symptom in patients with coronavirus disease 2019 (COVID-19)
Giuseppe Lippi, Camilla Mattiuzzi, Chiara Bovo, Brandon Michael Henry
Diagnosis.2020; 7(4): 409. CrossRef
Diabetes and COVID-19: Global and regional perspectives
In-Kyung Jeong, Kun Ho Yoon, Moon Kyu Lee
Diabetes Research and Clinical Practice.2020; 166: 108303. CrossRef
Clinical Epidemiology of Coronavirus Disease 2019:Defined on Current Research
Fengyu Zhang, Claude Hughes
Global Clinical and Translational Research.2020; : 54. CrossRef
The concern about ACE/ARB and COVID-19: Time to hold your horses!
Joseph V. Pergolizzi, Giustino Varrassi, Peter Magnusson, Jo Ann LeQuang, Marianna Leopoulou, Antonella Paladini, Robert Taylor, Charles Wollmuth, Frank Breve
Journal of the American Pharmacists Association.2020; 60(6): e88. CrossRef
Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis
Catherine R. Jutzeler, Lucie Bourguignon, Caroline V. Weis, Bobo Tong, Cyrus Wong, Bastian Rieck, Hans Pargger, Sarah Tschudin-Sutter, Adrian Egli, Karsten Borgwardt, Matthias Walter
Travel Medicine and Infectious Disease.2020; 37: 101825. CrossRef
Clinical Features and Outcomes of 105 Hospitalized Patients With COVID-19 in Seattle, Washington
Frederick S Buckner, Denise J McCulloch, Vidya Atluri, Michela Blain, Sarah A McGuffin, Arun K Nalla, Meei-Li Huang, Alex L Greninger, Keith R Jerome, Seth A Cohen, Santiago Neme, Margaret L Green, Helen Y Chu, H Nina Kim
Clinical Infectious Diseases.2020; 71(16): 2167. CrossRef
An adapted emergency department triage algorithm for the COVID‐19 pandemic
Douglas W. Wallace, Samuel L. Burleson, Matthew A. Heimann, James C. Crosby, Jonathan Swanson, Courtney B. Gibson, Christopher Greene
Journal of the American College of Emergency Physi.2020; 1(6): 1374. CrossRef
Containment of a healthcare-associated COVID-19 outbreak in a university hospital in Seoul, Korea: A single-center experience
Sei Won Kim, Sung Jin Jo, Heayon Lee, Jung Hwan Oh, Jihyang Lim, Sang Haak Lee, Jung Hyun Choi, Jehoon Lee, Xia Jin
PLOS ONE.2020; 15(8): e0237692. CrossRef
Awareness of Health Professionals on COVID-19 and Factors Affecting It Before and During Index Case in North Shoa Zone, Ethiopia, 2020

Ayele Abebe, Abinet Mekuria, Awraris Balchut
Infection and Drug Resistance.2020; Volume 13: 2979. CrossRef
Considerations for future novel human-infecting coronavirus outbreaks
Georges Sinclair, Philippa Johnstone, Mustafa Aziz Hatiboglu
Surgical Neurology International.2020; 11: 260. CrossRef
Real Asymptomatic SARS-CoV-2 Infection Might be Rare: the Importance of Careful Interviews and Follow-up
Tae Heum Jeong, Chuiyong Pak, Minsu Ock, Seock-Hwan Lee, Joung Sik Son, Young-Jee Jeon
Journal of Korean Medical Science.2020;[Epub] CrossRef
Identifying common baseline clinical features of COVID-19: a scoping review
Daniela Ferreira-Santos, Priscila Maranhão, Matilde Monteiro-Soares
BMJ Open.2020; 10(9): e041079. CrossRef
Potential sources, modes of transmission and effectiveness of prevention measures against SARS-CoV-2
G. Kampf, Y. Brüggemann, H.E.J. Kaba, J. Steinmann, S. Pfaender, S. Scheithauer, E. Steinmann
Journal of Hospital Infection.2020; 106(4): 678. CrossRef
Gastrointestinal insights during the COVID-19 epidemic
Kai Nie, Yuan-Yuan Yang, Min-Zi Deng, Xiao-Yan Wang
World Journal of Clinical Cases.2020; 8(18): 3934. CrossRef
Response to COVID-19 in South Korea and implications for lifting stringent interventions
Amy Dighe, Lorenzo Cattarino, Gina Cuomo-Dannenburg, Janetta Skarp, Natsuko Imai, Sangeeta Bhatia, Katy A. M. Gaythorpe, Kylie E. C. Ainslie, Marc Baguelin, Samir Bhatt, Adhiratha Boonyasiri, Nicholas F. Brazeau, Laura V. Cooper, Helen Coupland, Zulma Cuc
BMC Medicine.2020;[Epub] CrossRef
A Public-Private Partnership Model to Build a Triage System in Response to a COVID-19 Outbreak in Hanam City, South Korea
Seong Su Ku, Young June Choe
Osong Public Health and Research Perspectives.2020; 11(5): 339. CrossRef
Gastrointestinal and hepatic manifestations of COVID-19 infection: Lessons for practitioners
Syed B Pasha, Ahmed Swi, Ghassan M Hammoud
World Journal of Meta-Analysis.2020; 8(5): 348. CrossRef
Emergency exploratory laparotomy in a COVID-19 patient - A case report -
Seong Su Lee, Ji Hyun Park, Gunn Hee Kim, Mi Young Kwon, Hee Yeong Kim, Yeon Jin Moon, Su Jin Kim, Mi Jung Yun
Anesthesia and Pain Medicine.2020; 15(4): 498. CrossRef
Effectiveness of contact tracing and quarantine on reducing COVID-19 transmission: a retrospective cohort study
R. Malheiro, A.L. Figueiredo, J.P. Magalhães, P. Teixeira, I. Moita, M.C. Moutinho, R.B. Mansilha, L.M. Gonçalves, E. Ferreira
Public Health.2020; 189: 54. CrossRef
What is the clinical course of patients hospitalised for COVID-19 treatment Ireland: a retrospective cohort study in Dublin’s North Inner City (the ‘Mater 100’)
Brendan O’Kelly, Colm Cronin, Stephen Peter Connolly, Walter Cullen, Gordana Avramovic, Tina McHugh, Eileen O’Connor, Aoife Cotter, Peter Doran, Tara McGinty, Dermot S O’Callaghan, Sean Gaine, Gerard Sheehan, Eamonn Brazil, Brian Marsh, John S. Lambert
HRB Open Research.2020; 3: 80. CrossRef
Delay-adjusted age- and sex-specific case fatality rates for COVID-19 in South Korea: Evolution in the estimated risk of mortality throughout the epidemic
A.T. Newall, R.N.F. Leong, A. Nazareno, D.J. Muscatello, J.G. Wood, W.J. Kim
International Journal of Infectious Diseases.2020; 101: 306. CrossRef
Clinical presentations, laboratory and radiological findings, and treatments for 11,028 COVID-19 patients: a systematic review and meta-analysis
Carlos K. H. Wong, Janet Y. H. Wong, Eric H. M. Tang, C. H. Au, Abraham K. C. Wai
Scientific Reports.2020;[Epub] CrossRef
Pain as clinical manifestations of COVID-19 infection and its management in the pandemic era: a literature review
I. Putu Eka Widyadharma, Ni Nyoman Shinta Prasista Sari, Kadek Enny Pradnyaswari, Kadek Tresna Yuwana, I. Putu Gede Danika Adikarya, Clarissa Tertia, I. A. Sri Wijayanti, I. A. Sri Indrayani, Desak Ketut Indrasari Utami
The Egyptian Journal of Neurology, Psychiatry and .2020;[Epub] CrossRef
Clinical spectrum of coronavirus disease 2019 in Iceland: population based cohort study
Elias Eythorsson, Dadi Helgason, Ragnar Freyr Ingvarsson, Helgi K Bjornsson, Lovisa Bjork Olafsdottir, Valgerdur Bjarnadottir, Hrafnhildur Linnet Runolfsdottir, Solveig Bjarnadottir, Arnar Snaer Agustsson, Kristin Oskarsdottir, Hrafn Hliddal Thorvaldsson,
BMJ.2020; : m4529. CrossRef
Coronavirus Disease 2019 (COVID-19): The Singapore Experience. A Review of the First Eight Months
Trevor Hwee Yong Tan, Matthias Paul Han Sim Toh, Shawn Vasoo, David Chien Boon Lye, Brenda Sze Peng Ang, Yee Sin Leo, Vernon Jian Ming Lee, Ser Hon Puah, Asok Kurup
Annals of the Academy of Medicine, Singapore.2020; 49(10): 764. CrossRef
Available evidence on risk factors associated with COVID-19's poorer outcomes, worldwide and in Brazil
Bruna Rinaldi, João Pedro S. N. Rinaldi
REVISTA CIÊNCIAS EM SAÚDE.2020; 10(2): 80. CrossRef
Early cases of SARS-CoV-2 infection in Uganda: epidemiology and lessons learned from risk-based testing approaches – March-April 2020
Richard Migisha, Benon Kwesiga, Bernadette Basuta Mirembe, Geofrey Amanya, Steven N. Kabwama, Daniel Kadobera, Lilian Bulage, Godfrey Nsereko, Ignatius Wadunde, Tonny Tindyebwa, Bernard Lubwama, Atek A. Kagirita, John T. Kayiwa, Julius J. Lutwama, Amy L.
Globalization and Health.2020;[Epub] CrossRef

Characterization of Clostridium difficile Strains Isolated from Patients with C. difficile-associated Disease in Korea: Seung-Hak Cho, Jung-Whan Chon, Kun-Ho Seo, Young Kwon Kim, Jung-Beom Kim, Young-Seok Bak, Woon-Won Jung, Cheorl-Ho Kim, Jong Tae Choi; Osong Public Health Res Perspect. 2017;8(5):325-331. Published online October 31, 2017; DOI: https://doi.org/10.24171/j.phrp.2017.8.5.06

4,248 View
32 Download
1 Crossref

Abstract PDF

Objectives

Studies on Clostridium difficile are rare in Korea. We investigated the epidemiological characteristics of C. difficile isolates from patients with C. difficile-associated disease (CDAD) in Korea.

Methods

Multiplex polymerase chain reaction was performed to detect the presence of tcdA and tcdB toxin genes. Antimicrobial susceptibility test was carried out by the disk-dilution method. C. difficile strains were subtyped by automated repetitive-element palindromic PCR (rep-PCR).

Results

Among patients with CDAD, 73 (25.8%), 32 (11.3%), 32 (11.3%), and 26 (9.2%) suffered from pneumonia, cancer or neoplasm, diabetes, and colitis, respectively. Of all stool samples, 43 samples (15.2%) were positive for C. difficile strains. We observed two expression patterns of toxin genes: tcdA+/tcdB+ (86% isolates) and tcdA−/tcdB+ (14% isolates), with all isolates expressing tcdB. Furthermore, some isolates were resistant to clindamycin (65%), ampicillin (56%), and cefazolin (40%), but all were susceptible to vancomycin and metronidazole. The tested samples were classified into diverse clusters using automated rep-PCR.

Conclusion

Our findings revealed the characteristics and antibiotic resistance of C. difficile isolates from patients in Korea. The epidemiological data may provide valuable insight into development of treatment strategies for C. difficile infections in Korea.

Citations

Citations to this article as recorded by

Metronidazole therapy as initial treatment of Clostridium difficile infection in patients with chronic kidney disease in Korea
Jaeuk Shin, Yu Mi Wi, Yu-Ji Lee
Epidemiology and Infection.2019;[Epub] CrossRef

Comparing Seasonal Pattern of Laboratory Confirmed Cases of Pertussis with Clinically Suspected Cases: Golam Reza Ghorbani, Seyed Mohsen Zahraei, Mahmood Moosazadeh, Mahdi Afshari, Fahimeh Doosti; Osong Public Health Res Perspect. 2016;7(2):131-137. Published online April 30, 2016; DOI: https://doi.org/10.1016/j.phrp.2016.02.004

2,724 View
19 Download
12 Crossref

Abstract PDF

Objectives
During recent decades, there has been limited attention on the seasonal pattern of pertussis within a high vaccine coverage population. This study aimed to compare the seasonal patterns of clinical suspected pertussis cases with those of laboratory confirmed cases in Iran.
Methods
The current study was conducted using time series methods. Time variables included months and seasons during 2011–2013. The effects of seasons and months on the incidence of pertussis were estimated using analysis of variance or Kruskal–Wallis.
Results
The maximum average incidence of clinically confirmed pertussis was 23.3 in July (p = 0.04), but the maximum incidence of clinical suspected pertussis was 115.7 in May (p = 0.6). The maximum seasonal incidences of confirmed and clinical pertussis cases were reported in summer (average: 12, p = 0.004), and winter (average: 108.1; p = 0.4), respectively.
Conclusion
The present study showed that the seasonal pattern of laboratory confirmed pertussis cases is highly definite and different from the pattern of clinical suspected cases.

Citations

Citations to this article as recorded by

Pertussis seasonal variation in Northern Vietnam: the evidence from a tertiary hospital
Nhung TH Pham, Quyen TT Bui, Dien M Tran, Mattias Larsson, Mai P Pham, Linus Olson
BMC Public Health.2024;[Epub] CrossRef
Population-Based Study of Pertussis Incidence and Risk Factors among Persons >50 Years of Age, Australia
Rodney Pearce, Jing Chen, Ken L. Chin, Adrienne Guignard, Leah-Anne Latorre, C. Raina MacIntyre, Brittany Schoeninger, Sumitra Shantakumar
Emerging Infectious Diseases.2024;[Epub] CrossRef
Bordetella pertussis in School-Age Children, Adolescents, and Adults: A Systematic Review of Epidemiology, Burden, and Mortality in the Middle East
Denis Macina, Keith E. Evans
Infectious Diseases and Therapy.2021; 10(2): 719. CrossRef
Pertussis epidemiology and effect of vaccination among diagnosed children at Vietnam, 2015‐2018
Nhung T. H. Pham, Nhan D. T. Le, Ngai K. Le, Khoa D. Nguyen, Mattias Larsson, Linus Olson, Dien M. Tran
Acta Paediatrica.2020; 109(12): 2685. CrossRef
Spatial distribution of vaccine-preventable diseases in central Iran in 2015–2018: A GIS-based study
Abolfazl Mohammadbeigi, Abedin Saghafipour, Nahid Jesri, Fatemeh Zahra Tarkhan, Moharram Karami Jooshin
Heliyon.2020; 6(9): e05102. CrossRef
The comparative performance of wavelet‐based outbreak detector, exponential weighted moving average, and Poisson regression‐based methods in detection of pertussis outbreaks in Iranian infants: A simulation‐based study
Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie‐Naieni
Pediatric Pulmonology.2020; 55(12): 3497. CrossRef
Alarm Thresholds for Pertussis Outbreaks in Iran: National Data Analysis
Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie-Naieni
Osong Public Health and Research Perspectives.2020; 11(5): 309. CrossRef
The burden of laboratory-confirmed pertussis in low- and middle-income countries since the inception of the Expanded Programme on Immunisation (EPI) in 1974: a systematic review and meta-analysis
Rudzani Muloiwa, Benjamin M. Kagina, Mark E. Engel, Gregory D. Hussey
BMC Medicine.2020;[Epub] CrossRef
Sommergrippe: Mehr als ein Mythos!
Johannes Bogner
MMW - Fortschritte der Medizin.2019; 161(12): 39. CrossRef
Estimating seasonal variation in Australian pertussis notifications from 1991 to 2016: evidence of spring to summer peaks
R. N. F. Leong, J. G. Wood, R. M. Turner, A. T. Newall
Epidemiology and Infection.2019;[Epub] CrossRef
Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model
Yongbin Wang, Chunjie Xu, Zhende Wang, Shengkui Zhang, Ying Zhu, Juxiang Yuan, Lei Lin
PLOS ONE.2018; 13(12): e0208404. CrossRef
Identification of Etiologic Agents of the Pertussis-like Syndrome in Children by Real-time PCR Method
Shima Mahmoudi, Maryam Banar, Babak Pourakbari, Hediyeh Sadat Alavi, Hamid Eshaghi, Alireza Aziz Ahari, Setareh Mamishi
Prague Medical Report.2018; 119(1): 61. CrossRef

Modeling the Spread of Ebola: Tae Sug Do, Young S. Lee; Osong Public Health Res Perspect. 2016;7(1):43-48. Published online February 28, 2016; DOI: https://doi.org/10.1016/j.phrp.2015.12.012

2,949 View
18 Download
15 Crossref

Abstract PDF

Objectives
This study aims to create a mathematical model to better understand the spread of Ebola, the mathematical dynamics of the disease, and preventative behaviors.
Methods
An epidemiological model is created with a system of nonlinear differential equations, and the model examines the disease transmission dynamics with isolation through stability analysis. All parameters are approximated, and results are also exploited by simulations. Sensitivity analysis is used to discuss the effect of intervention strategies.
Results
The system has only one equilibrium point, which is the disease-free state (S,L,I,R,D) = (N,0,0,0,0). If traditional burials of Ebola victims are allowed, the possible end state is never stable. Provided that safe burial practices with no traditional rituals are followed, the endemic-free state is stable if the basic reproductive number, R₀, is less than 1. Model behaviors correspond to empirical facts. The model simulation agrees with the data of the Nigeria outbreak in 2004: 12 recoveries, eight deaths, Ebola free in about 3 months, and an R₀ value of about 2.6 initially, which signifies swift spread of the infection. The best way to reduce R₀ is achieving the speedy net effect of intervention strategies. One day's delay in full compliance with building rings around the virus with isolation, close observation, and clear education may double the number of infected cases.
Conclusion
The model can predict the total number of infected cases, number of deaths, and duration of outbreaks among others. The model can be used to better understand the spread of Ebola, educate about prophylactic behaviors, and develop strategies that alter environment to achieve a disease-free state. A future work is to incorporate vaccination in the model when the vaccines are developed and the effects of vaccines are known better.

Citations

Citations to this article as recorded by

Fractional–Order Modeling and Control of COVID-19 with Shedding Effect
Isa A. Baba, Usa W. Humphries, Fathalla A. Rihan, J. E. N. Valdés
Axioms.2023; 12(4): 321. CrossRef
Projecting the impact of an ebola virus outbreak on endangered mountain gorillas
Dawn M. Zimmerman, Emily Hardgrove, Sara Sullivan, Stephanie Mitchell, Eddy Kambale, Julius Nziza, Benard Ssebide, Chantal Shalukoma, Mike Cranfield, Pranav S. Pandit, Sean P. Troth, Taylor Callicrate, Philip Miller, Kirsten Gilardi, Robert C. Lacy
Scientific Reports.2023;[Epub] CrossRef
Mathematical Models for Typhoid Disease Transmission: A Systematic Literature Review
Sanubari Tansah Tresna, Subiyanto, Sudradjat Supian
Mathematics.2022; 10(14): 2506. CrossRef
Fractional COVID-19 Modeling and Analysis on Successive Optimal Control Policies
Mohammed Subhi Hadi, Bülent Bilgehan
Fractal and Fractional.2022; 6(10): 533. CrossRef
Analysis of a Covid-19 model: Optimal control, stability and simulations
Seda İğret Araz
Alexandria Engineering Journal.2021; 60(1): 647. CrossRef
Modeling 2018 Ebola virus disease outbreak with Cholesky decomposition
Lagès Nadège Mouanguissa, Abdul A. Kamara, Xiangjun Wang
Mathematical Methods in the Applied Sciences.2021; 44(7): 5739. CrossRef
Mitigation strategies and compliance in the COVID-19 fight; how much compliance is enough?
Swati Mukerjee, Clifton M. Chow, Mingfei Li, Martin Chtolongo Simuunza
PLOS ONE.2021; 16(8): e0239352. CrossRef
A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic
Hamdi Friji, Raby Hamadi, Hakim Ghazzai, Hichem Besbes, Yehia Massoud
IEEE Access.2021; 9: 13266. CrossRef
Analytical solution for post-death transmission model of Ebola epidemics
Abdul A. Kamara, Xiangjun Wang, Lagès Nadège Mouanguissa
Applied Mathematics and Computation.2020; 367: 124776. CrossRef
Modelling the daily risk of Ebola in the presence and absence of a potential vaccine
Stéphanie M.C. Abo, Robert Smith
Infectious Disease Modelling.2020; 5: 905. CrossRef
Data Fitting and Scenario Analysis of Vaccination in the 2014 Ebola Outbreak in Liberia
Zhifu Xie
Osong Public Health and Research Perspectives.2019; 10(3): 187. CrossRef
Effect of sexual transmission on the West Africa Ebola outbreak in 2014: a mathematical modelling study
Dongmei Luo, Rongjiong Zheng, Duolao Wang, Xueliang Zhang, Yi Yin, Kai Wang, Weiming Wang
Scientific Reports.2019;[Epub] CrossRef
Mathematical modeling of contact tracing as a control strategy of Ebola virus disease
T. Berge, A. J. Ouemba Tassé, H. M. Tenkam, J. Lubuma
International Journal of Biomathematics.2018; 11(07): 1850093. CrossRef
Challenges of Designing and Implementing High Consequence Infectious Disease Response
Joan M. King, Chetan Tiwari, Armin R. Mikler, Martin O’Neill
Disaster Medicine and Public Health Preparedness.2018; 12(5): 563. CrossRef
The potential impact of a prophylactic vaccine for Ebola in Sierra Leone
Erin N. Bodine, Connor Cook, Mikayla Shorten
Mathematical Biosciences and Engineering.2017; 15(2): 337. CrossRef

Optimal Implementation of Intervention to Control the Self-harm Epidemic: Byul Nim Kim, M.A. Masud, Yongkuk Kim; Osong Public Health Res Perspect. 2014;5(6):315-323. Published online December 31, 2014; DOI: https://doi.org/10.1016/j.phrp.2014.10.001

2,797 View
17 Download
3 Crossref

Abstract PDF

Objectives
Deliberate self-harm (DSH) of a young person has been a matter of growing concern to parents and policymakers. Prevention and early eradication are the main interventional techniques among which prevention through reducing peer pressure has a major role in reducing the DSH epidemic. Our aim is to develop an optimal control strategy for minimizing the DSH epidemic and to assess the efficacy of the controls.
Methods
We considered a deterministic compartmental model of the DSH epidemic and two interventional techniques as the control measures. Pontryagin's Maximum Principle was used to mathematically derive the optimal controls. We also simulated the model using the forward-backward sweep method.
Results
Simulation results showed that the controls needed to be used simultaneously to reduce DSH successfully. An optimal control strategy should be adopted, depending on implementation costs for the controls.
Conclusion
The long-term success of the optimum control depends on the implementation cost. If the cost is very high, the control could be used for a short term, even though it fails in the long run. The control strategy, most importantly, should be implemented as early as possible to attack a comparatively fewer number of addicted individuals.

Citations

Citations to this article as recorded by

A review of the use of optimal control in social models
D. M. G. Comissiong, J. Sooknanan
International Journal of Dynamics and Control.2018; 6(4): 1841. CrossRef
Adolescent self‐harm and risk factors
Jixiang Zhang, Jianwei Song, Jing Wang
Asia-Pacific Psychiatry.2016; 8(4): 287. CrossRef
Optimal Intervention Strategies for the Spread of Obesity
Chunyoung Oh, Masud M A
Journal of Applied Mathematics.2015; 2015: 1. CrossRef

Optimal Implementation of Intervention Strategies for Elderly People with Ludomania: Byul Nim Kim, M.A. Masud, Yongkuk Kim; Osong Public Health Res Perspect. 2014;5(5):266-273. Published online October 31, 2014; DOI: https://doi.org/10.1016/j.phrp.2014.08.006

2,616 View
19 Download
1 Crossref

Abstract PDF

Objectives
Now-a-days gambling is growing especially fast among older adults. To control the gratuitous growth of gambling, well-analyzed scientific strategies are necessary. We tried to analyze the adequacy of the health of society mathematically through immediate treatment of patients with early prevention.
Methods
The model from Lee and Do was modified and control parameters were introduced. Pontryagin's Maximum Principle was used to obtain an optimal control strategy.
Results
Optimal control can be achieved through simultaneous use of the control parameters, though it varies from society to society. The control corresponding to prevention needed to be implemented in full almost all the time for all types of societies. In the case of the other two controls, the scenario was greatly affected depending on the types of societies.
Conclusion
Prevention and treatment for elderly people with ludomania are the main intervention strategies. We found that optimal timely implementation of the intervention strategies was more effective. The optimal control strategy varied with the initial number of gamblers. However, three intervention strategies were considered, among which, preventing people from engaging in all types of gambling proved to be the most crucial.

Citations

Citations to this article as recorded by

Roll the Dice
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2014; 5(5): 243. CrossRef

Brief Reports

Epidemic Intelligence Service Officers and Field Epidemiology Training Program in Korea: Geun-Yong Kwon, Shinje Moon, Wooseok Kwak, Jin Gwack, Chaeshin Chu, Seung-Ki Youn; Osong Public Health Res Perspect. 2013;4(4):215-221. Published online August 31, 2013; DOI: https://doi.org/10.1016/j.phrp.2013.07.001

3,513 View
23 Download
9 Crossref

Abstract PDF

Korea has adopted Epidemic Intelligence Service (EIS) officers through the Field Epidemiology Training Program (FETP) since 1999 for systematic control of emerging and re-emerging infectious diseases. Graduates of medical schools in Korea are selected and serve as public health doctors (PHDs) for their mandatory military service. The duration of service is 3 years and PHDs comprise general practitioners and specialists. Some PHDs are selected as EIS officers with 3 weeks basic FETP training and work for central and provincial public health authorities to conduct epidemiological investigations. The total number of EIS officers is 31 as of 2012. The Korea Centers for Disease Control and Prevention (KCDC) has 12 specialists, whereas specialists and each province has one or two EIS officers to administer local epidemiological investigations in 253 public health centers. The Korean EIS officers have successfully responded and prevented infectious diseases, but there is a unique limitation: the number of PHDs in Korea is decreasing and PHDs are not allowed to stay outside Korea, which makes it difficult to cope with overseas infectious diseases. Furthermore, after 3 years service, they quit and their experiences are not accumulated. KCDC has hired full-time EIS officers since 2012 to overcome this limitation.

Citations

Citations to this article as recorded by

A resposta da Coreia do Sul à pandemia de COVID-19: lições aprendidas e recomendações a gestores
Thais Regis Aranha Rossi, Catharina Leite Matos Soares, Gerluce Alves Silva, Jairnilson Silva Paim, Lígia Maria Vieira-da-Silva
Cadernos de Saúde Pública.2022;[Epub] CrossRef
Turnover Intention among Field Epidemiologists in South Korea
Sukhyun Ryu
International Journal of Environmental Research an.2020; 17(3): 949. CrossRef
National Response to COVID-19 in the Republic of Korea and Lessons Learned for Other Countries
Juhwan Oh, Jong-Koo Lee, Dan Schwarz, Hannah L. Ratcliffe, Jeffrey F. Markuns, Lisa R. Hirschhorn
Health Systems & Reform.2020; 6(1): e1753464. CrossRef
Steering the Private Sector in COVID-19 Diagnostic Test Kit Development in South Korea
Sora Lee
Frontiers in Public Health.2020;[Epub] CrossRef
Experience of 16 years and its associated challenges in the Field Epidemiology Training Program in Korea
Moo-Sik Lee, Eun-Young Kim, Sang-Won Lee
Epidemiology and Health.2017; 39: e2017058. CrossRef
The direction of restructuring of a Korea field epidemiology training program through questionnaire survey among communicable disease response staff in Korea
Moo Sik Lee, Kwan Lee, Jee-Hyuk Park, Jee-Young Hong, Min-Young Jang, Byoung-Hak Jeon, Sang-Yun Cho, Sun-Ja Choi, JeongIk Hong
Epidemiology and Health.2017; 39: e2017032. CrossRef
Review for the Korean Health Professionals and International Cooperation Doctors Dispatched to Peru by the Korea International Cooperation Agency (KOICA)
Bongyoung Kim
Osong Public Health and Research Perspectives.2015; 6(2): 133. CrossRef
From Seoul to Lima: Korean Doctors in Peru
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2015; 6(2): 71. CrossRef
Emerging Pathogens and Vehicles of Food- and Water-borne Disease Outbreaks in Korea, 2007–2012
Shinje Moon, Il-Woong Sohn, Yeongseon Hong, Hyungmin Lee, Ji-Hyuk Park, Geun-Yong Kwon, Sangwon Lee, Seung-Ki Youn
Osong Public Health and Research Perspectives.2014; 5(1): 34. CrossRef

Epidemiological Characteristics of Imported Shigellosis in Korea, 2010–2011: Hee-Jung Kim, Seung-Ki Youn, Sangwon Lee, Yeon Hwa Choi; Osong Public Health Res Perspect. 2013;4(3):159-165. Published online June 30, 2013; DOI: https://doi.org/10.1016/j.phrp.2013.02.002

3,225 View
20 Download
7 Crossref

Abstract PDF

Shigellosis is a global disease as food poisoning by infection of Shigella spp (S. dysenteriae, S. flexneri, S. boydii and S. sonnei). In Korea, approximately 500 cases of shigellosis have reported every year since 2004, and imported shigellosis is increasing gradually from 2006 in particular. According to increase of numbers of overseas travelers, the numbers of patients diseased with imported shigellosis is also increasing. We need continuous surveillance studies network (SSN) for control of imported shigellosis. We studied epidemiological characteristic of imported shigellosis by using database of Korea Centers for Disease Control and Prevention (KCDC) from 2010 to 2011. The imported shigellosis is analyzed on correlation with variable factors such as sex, age, symptom, visited country as well as Shigella spp in the database. Total 399 patients diseased with shigellosis have been reported between 2010 and 2011, The 212 patients (53.1%) among them were disease with imported shigellosis and the 205 patients (96.7%) were diagnosed as definite shigellosis. Shigella sonnei (65.6%) and Shigella flexneri (20.3%) were isolated in order. Clinical symptoms of the shigellosis were diarrhea (96.5%), abdominal pain (54.7%), fever (52.8%), chill (31.6%), and weakness (21.7% etc) in order. Duration of diarrhea was 1 to 5 days, the number of diarrhea was mostly more than 10 times, and type of stool was almost yellow stool. Almost shigellosis was occurred in the travelers visited to Asia (98.1%). Particularly, the occurrence rate of shigellosis was highest in traveler visited to Southeast Asia which is India (21.7%), Cambodia (19.8%), Philippines (17.9%), and Vietnam (9.0%) in order. According to increase of traveler to Southeast Asia, imported Shigellosis also increased. We need to strengthen the public health and hygiene, which is infection prevention rules, eating properly-cook food, washing hands, drinking boiled water, for traveler to Asia. The quarantine and surveillance system to control imported shigellosis is need continually in Korea.

Citations

Citations to this article as recorded by

An in vivo acute toxicity and anti-shigellosis effect of designed formulation on rat
Devendra Singh, Vishnu Agarwal
Journal of Ayurveda and Integrative Medicine.2023; 14(1): 100536. CrossRef
Shigellosis in Southeast Asia: A systematic review and meta-analysis
Basilua Andre Muzembo, Kei Kitahara, Debmalya Mitra, Ayumu Ohno, Januka Khatiwada, Shanta Dutta, Shin-Ichi Miyoshi
Travel Medicine and Infectious Disease.2023; 52: 102554. CrossRef
Epidemic Trends of Imported Shigellosis Cases in Korea and Japan, 2016–2020
Won-Chang Lee, Myeon-Jin Lee, Kyu Sung Kim, Young Hwan Kwon
The Korean Journal of Aerospace and Environmental .2023; 33(3): 71. CrossRef
History and Epidemiology of Bacillary Dysentery in Korea: from Korean War to 2017
Hyunjoo Pai
Infection & Chemotherapy.2020; 52(1): 123. CrossRef
Principal Component Analysis for Clustering Probiotic-Fortified Beverage Matrices Efficient in Elimination of Shigella sp.
Srijita Sireswar, Didier Montet, Gargi Dey
Fermentation.2018; 4(2): 34. CrossRef
Importation of travel-related infectious diseases is increasing in South Korea: An analysis of salmonellosis, shigellosis, malaria, and dengue surveillance data
Young-June Choe, Seung-Ah Choe, Sung-Il Cho
Travel Medicine and Infectious Disease.2017; 19: 22. CrossRef
Current state on the development of nanoparticles for use against bacterial gastrointestinal pathogens. Focus on chitosan nanoparticles loaded with phenolic compounds
Ana Raquel Madureira, Adriana Pereira, Manuela Pintado
Carbohydrate Polymers.2015; 130: 429. CrossRef

Article

Optimal Control Strategy of Plasmodium vivax Malaria Transmission in Korea: Byul Nim Kim, Kyeongah Nah, Chaeshin Chu, Sang Uk Ryu, Yong Han Kang, Yongkuk Kim; Osong Public Health Res Perspect. 2012;3(3):128-136. Published online June 30, 2012; DOI: https://doi.org/10.1016/j.phrp.2012.07.005

2,762 View
18 Download
12 Crossref

Abstract PDF

Objective To investigate the optimal control strategy for Plasmodium vivax malaria transmission in Korea.
Methods
A Plasmodium vivax malaria transmission model with optimal control terms using a deterministic system of differential equations is presented, and analyzed mathematically and numerically.
Results
If the cost of reducing the reproduction rate of the mosquito population is more than that of prevention measures to minimize mosquito-human contacts, the control of mosquito-human contacts needs to be taken for a longer time, comparing the other situations. More knowledge about the actual effectiveness and costs of control intervention measures would give more realistic control strategies.
Conclusion
Mathematical model and numerical simulations suggest that the use of mosquito-reduction strategies is more effective than personal protection in some cases but not always.

Citations

Citations to this article as recorded by

Numerical Investigation of Malaria Disease Dynamics in Fuzzy Environment
Fazal Dayan, Dumitru Baleanu, Nauman Ahmed, Jan Awrejcewicz, Muhammad Rafiq, Ali Raza, Muhammad Ozair Ahmad
Computers, Materials & Continua.2023; 74(2): 2345. CrossRef
New Trends in Fuzzy Modeling Through Numerical Techniques
M. M. Alqarni, Muhammad Rafiq, Fazal Dayan, Jan Awrejcewicz, Nauman Ahmed, Ali Raza, Muhammad Ozair Ahmad, Witold Pawłowski, Emad E. Mahmoud
Computers, Materials & Continua.2023; 74(3): 6371. CrossRef
Optimal control analysis of hepatocytic-erythrocytic dynamics of Plasmodium falciparum malaria
Titus Okello Orwa, Rachel Waema Mbogo, Livingstone Serwadda Luboobi
Infectious Disease Modelling.2022; 7(1): 82. CrossRef
Effects of climate change on Plasmodium vivax malaria transmission dynamics: A mathematical modeling approach
Jung Eun Kim, Yongin Choi, Chang Hyeong Lee
Applied Mathematics and Computation.2019; 347: 616. CrossRef
Optimal bed net use for a dengue disease model with mosquito seasonal pattern
Bruno Buonomo, Rossella Della Marca
Mathematical Methods in the Applied Sciences.2018; 41(2): 573. CrossRef
Optimal control in epidemiology
Oluwaseun Sharomi, Tufail Malik
Annals of Operations Research.2017; 251(1-2): 55. CrossRef
A new analysis of infection dynamics: multi-regions discrete epidemic model with an extended optimal control approach
Omar Zakary, Mostafa Rachik, Ilias Elmouki
International Journal of Dynamics and Control.2017; 5(4): 1010. CrossRef
On the analysis of a multi-regions discrete SIR epidemic model: an optimal control approach
Omar Zakary, Mostafa Rachik, Ilias Elmouki
International Journal of Dynamics and Control.2017; 5(3): 917. CrossRef
Bifurcation and Sensitivity Analysis of Malaria–Schistosomiasis Co-infection Model
E. A. Bakare, C. R. Nwozo
International Journal of Applied and Computational.2017; 3(S1): 971. CrossRef
Effect of awareness programs and travel-blocking operations in the control of HIV/AIDS outbreaks: a multi-domains SIR model
Omar Zakary, Abdelilah Larrache, Mostafa Rachik, Ilias Elmouki
Advances in Difference Equations.2016;[Epub] CrossRef
Transmission Dynamics and Optimal Control of Malaria in Kenya
Gabriel Otieno, Joseph K. Koske, John M. Mutiso
Discrete Dynamics in Nature and Society.2016; 2016: 1. CrossRef
Years of Epidemics (2009–2011): Pandemic Influenza and Foot-and-Mouth Disease Epidemic in Korea
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2013; 4(3): 125. CrossRef

First
Prev
Page of 1
Next
Last

Search