Journal Publishing: Never Ending Saga

Hae-Wol Cho; Chaeshin Chu

doi:10.1016/j.phrp.2014.01.005

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Editorial Journal Publishing: Never Ending Saga: Hae-Wol Cho, Chaeshin Chu; Osong Public Health and Research Perspectives 2014;5(1):1-2.
DOI: https://doi.org/10.1016/j.phrp.2014.01.005
Published online: January 31, 2014

Osong Public Health and Research Perspectives, Osong, Korea

College of Health Science, Eulji University, Seongnam, Korea

College of Medicine, Eulji University, Daejeon, Korea

Osong Public Health and Research Perspectives, Osong, Korea

∗Corresponding author.

∗Corresponding author. hwcho@eulji.ac.krcchu@cdc.go.kr

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Since its first issue, Osong Public Health and Research Perspectives (PHRP) has been unique in every aspect. Korea Centers for Disease Control and Prevention (KCDC) relocated to Osong technopolis, the heartland of the Republic of Korea in December 2010. The small city was planned to serve as a center of the biomedical industry and six governmental agencies in Korea: Korean National Institute of Health, Korea Food and Drug Administration, Korea National Institute of Food and Drug Safety Evaluation, Korea Human Resource Development Institute for Health and Welfare, Korea Health Industry Development Institute, and KCDC. KCDC prepared the journal since 2007 and 3 years of hard work bore fruit in December 2010 in Osong.

The PHRP started with a biannual journal in 2011, expanded to quarterly in 2012, and became a full-fledged bimonthly in 2013. PHRP is currently indexed in Scopus, PubMed/PubMed/PubMed Central (PMC), Science Direct, EMBASE, Google Scholar, World Health Organization Health InterNetwork Access to Research Initiative (WHO HINARI) and CrossRef. A total of 135 manuscripts are enlisted, including the February 2014 issue. The managing editor has read 4350 references and corrected 140 manuscripts prior to the peer review process. We have tried to put at least one mathematical model paper in each issue including human immunodeficiency virus (HIV), malaria, Vibrio vulnificus infection, pandemic influenza, nosocomial outbreaks, and foot and mouth disease outbreaks [1–5], which is a unique feature for a biomedical journal. If you see disease or health-related research papers with population-based data in Korea, PHRP is the right journal for you. PHRP has also taken international papers. The journal's website (www.kcdc-phrp.org, www.kcdc-phrp.com) has been hit from more than 80 countries around the world. It has gained a reputation of the fastest-growing biomedical journal in the world.

In the current issue of PHRP, a mathematical model is proposed to investigate the HIV dynamics of active and inactive cytotoxic immune cells within a host [6]. The analysis is a modified version of an existing model [7] that splits the cytotoxic immune cells compartment M into two: inactive and active immune compartments of the response cells. The idea is that cytotoxic cells are always present in the body, whereas inactive cytotoxic immune cells are activated through specific biochemical processes related to the presence of HIV. The authors investigated the impact of the immune response on HIV patients at an initial stage. The new model has been subjected to standard mathematical and numerical analyses with local and global stability tests. The results might be helpful in treating patients with more effective drug schedules in the presence of active and inactive immune responses.

A new mathematical model for Korean tuberculosis (TB) is proposed in this issue of PHRP [8]. A previous Korean TB dynamical model was developed by including time-dependent coefficients, and optimal control theory has been used to observe what would be more effective control measures to minimize the number of infected and exposed individuals [9]. A mathematical model has been proposed to model the role of the exogenous reinfection from the latent individuals [10]. The authors of the new model have modified the existing model of Whang et al [9] by incorporating the exogenous reinfection from Feng et al's model [10]. Parameter estimation for the new TB model has been carried out using the least-square method for the TB incidence from two periods, 1970–2000 and 2001–2012. The model output and the TB incidence data show a good agreement.

We would like to see the real data of Korea HIV/AIDS applied to the HIV model presented in this issue. We also hope to apply the new TB model to estimate the incidence in Korea.

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1. Chu C., Do Y., Kim Y.. Mathematical modeling of Vibrio vulnificus infection in Korea and the influence of global warming. Osong Public Health Res Perspect 2(1). 2011 Jun;51−58. PMID: 24159451.Article PubMed
2. Kim M.S., Chu C., Kim Y.. A note on obesity as epidemic in Korea. Osong Public Health Res Perspect 2(2). 2011 Sep;135−140. PMID: 24159463.Article PubMed
3. Chu C., Lee J., Choi D.H.. Sensitivity analysis of the parameters of Korea's pandemic influenza preparedness plan. Osong Public Health Res Perspect 2(3). 2011 Dec;210−215. PMID: 24159475.Article PubMed
4. Nishiura H.. Early detection of nosocomial outbreaks caused by rare pathogen: a case study employing score prediction model. Osong Public Health Res Perspect 3(3). 2012 Sep;121−127. PMID: 24159503.Article PubMed
5. Yoon H., Yoon S.-S., Kim H.. Estimation of the infection window for the 2010/2011 Korean foot-and-mouth disease outbreak. Osong Public Health Res Perspect 4(3). 2013 Jun;127−132. PMID: 24159543.Article PubMed
6. Lee S., Zapata H.D.T., Casso A.C., Bichara D.. The role of active and inactive cytotoxic immune response in the HIV dynamics within a host. Osong Public Health Res Perspect 5(1). 2014 Feb;3−8.Article PubMed
7. Culshaw R.V., Ruan S.. A delay-differential equation model of HIV infection of CD(+4) T-cells. Math Biosci 165(1). 2000 May;27−39. PMID: 10804258.Article PubMed
8. Lee S., Kim S., Choe S.. What does a mathematical model tell about the impact of re-infection in Korean tuberculosis infection? Osong Public Health Res Perspect 5(1). 2014 Feb;40−45.Article PubMed
9. Whang S., Choi S., Jung E.. A dynamic model for tuburculosis transmission and optimal treatment strategies in South Korea. J Theor Biol 279(1). 2011 Jun 21;120−131. PMID: 21439972.Article
10. Feng Z., Castillo-Chavez C., Capurro A.F.. A model for tuberculosis with exogenous reinfection. Theor Popul Biol 57(3). 2000 May;235−247. PMID: 10828216.Article PubMed

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Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2014; 5(4): 177. CrossRef

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