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Hadeed SJ, Broadway KM, Schwartz-Watjen KT, Tigabu B, Woodards AJ, Swiatecka AL, Owens AN, Wu A. Notional Spread of Cholera in Haiti Following a Natural Disaster: Considerations for Military and Disaster Relief Personnel. Mil Med 2023; 188:e2074-e2081. [PMID: 36573576 DOI: 10.1093/milmed/usac415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/29/2022] [Accepted: 12/16/2022] [Indexed: 02/17/2024] Open
Abstract
INTRODUCTION Cholera remains a significant public health threat for many countries, and the severity largely varies by the population and local conditions that drive disease spread, especially in endemic areas prone to natural disasters and flooding. Epidemiological models can provide useful information to military planners for understanding disease spread within populations and the effectiveness of response options for preventing the transmission among deployed and stationed personnel. This study demonstrates the use of epidemiological modeling to understand the dynamics of cholera transmission to inform emergency planning and military preparedness in areas with highly communicable diseases. MATERIALS AND METHODS Areas with higher probability for a potential cholera outbreak in Haiti followed by a natural disaster were identified. The hotspots were then used to seed an extended compartmental model, EpiGrid, to simulate notional spread scenarios of cholera originating in three distinct areas in Haiti. Disease parameters were derived from the 2010 cholera outbreak in Haiti, and disease spread was simulated over a 12-week period under uncontrolled and controlled spread. RESULTS For each model location, scenarios of mitigated (intervention with 30% transmission reduction via international aid) and unmitigated (without intervention) are simulated. The results depict the geographical spread and estimate the cumulative cholera infection for each notional scenario over the course of 3 months. Disease transmission differs considerably across origin site with an outbreak originating in the department of Nippes spanning the largest geographic area and resulting in the largest number of cumulative cases after 12 weeks under unmitigated (79,518 cases) and mitigated (35,667 cases) spread scenarios. CONCLUSIONS We modeled the notional re-emergence and spread of cholera following the August 2021 earthquake in Haiti while in the midst of the global COVID-19 pandemic. This information can help guide military and emergency response decision-making during an infectious disease outbreak and considerations for protecting military personnel in the midst of a humanitarian response. Military planners should consider the use of epidemiological models to assess the health risk posed to deployed and stationed personnel in high-risk areas.
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Affiliation(s)
- Steven J Hadeed
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA
| | - Katherine M Broadway
- Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA
| | | | - Bersabeh Tigabu
- Global Systems Engineering (GSE), Support to DTRA Technical Reachback, Alexandria, VA 22312, USA
| | - Ashley J Woodards
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA
| | - Anna L Swiatecka
- Noblis, Inc., Support to DTRA Technical Reachback, Reston, VA 20191, USA
| | - Akeisha N Owens
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA
| | - Aiguo Wu
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA
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O'Connell LM, Coffey A, O'Mahony JM. Alternatives to antibiotics in veterinary medicine: considerations for the management of Johne's disease. Anim Health Res Rev 2023; 24:12-27. [PMID: 37475561 DOI: 10.1017/s146625232300004x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Antibiotic resistance has become a major health concern globally, with current predictions expecting deaths related to resistant infections to surpass those of cancer by 2050. Major efforts are being undertaken to develop derivative and novel alternatives to current antibiotic therapies in human medicine. What appears to be lacking however, are similar efforts into researching the application of those alternatives, such as (bacterio)phage therapy, in veterinary contexts. Agriculture is still undoubtedly the most prominent consumer of antibiotics, with up to 70% of annual antibiotic usage attributed to this sector, despite policies to reduce their use in food animals. This not only increases the risk of resistant infections spreading from farm to community but also the risk that animals may acquire species-specific infections that subvert treatment. While these diseases may not directly affect human welfare, they greatly affect the profit margin of industries reliant on livestock due to the cost of treatments and (more frequently) the losses associated with animal death. This means actively combatting animal infection not only benefits animal welfare but also global economies. In particular, targeting recurring or chronic conditions associated with certain livestock has the potential to greatly reduce financial losses. This can be achieved by developing novel diagnostics to quickly identify ill animals alongside the design of novel therapies. To explore this concept further, this review employs Johne's disease, a chronic gastroenteritis condition that affects ruminants, as a case study to exemplify the benefits of rapid diagnostics and effective treatment of chronic disease, with particular regard to the diagnostic and therapeutic potential of phage.
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Affiliation(s)
- Laura M O'Connell
- Department of Biological Sciences, Munster Technological University, Rossa Avenue, Bishopstown, Cork, T12 P928, Ireland
| | - Aidan Coffey
- Department of Biological Sciences, Munster Technological University, Rossa Avenue, Bishopstown, Cork, T12 P928, Ireland
| | - Jim M O'Mahony
- Department of Biological Sciences, Munster Technological University, Rossa Avenue, Bishopstown, Cork, T12 P928, Ireland
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Nielsen SS, Alvarez J, Bicout DJ, Calistri P, Canali E, Drewe JA, Garin‐Bastuji B, Gonzales Rojas JL, Gortázar C, Herskin M, Michel V, Miranda Chueca MÁ, Padalino B, Pasquali P, Spoolder H, Ståhl K, Velarde A, Viltrop A, Winckler C, De Clercq K, Gubbins S, Libeau G, Gervelmeyer A, Roberts HC. Assessment of the control measures of category A diseases of the Animal Health Law: Infection with rinderpest virus (Rinderpest). EFSA J 2022; 20:e07071. [PMID: 35106093 PMCID: PMC8787597 DOI: 10.2903/j.efsa.2022.7071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
EFSA received a mandate from the European Commission to assess the effectiveness of control measures against diseases included in the Category A list according to Regulation (EU) 2016/429 on transmissible animal diseases ('Animal Health Law'). This opinion belongs to a series of opinions where these control measures are assessed, with this opinion covering the assessment of control measures for rinderpest (RP), the only animal disease to have been globally eradicated. In this opinion, the AHAW Panel reviewed the effectiveness of: (i) clinical and laboratory sampling procedures, (ii) monitoring period and (iii) the minimum radius of the protection and surveillance zone, and the minimum length of time the measures should be applied in these zones. The general methodology used for this series of opinions has been published elsewhere. The transmission kernels used for the assessment of the minimum radius of the protection and surveillance zones are shown. Several scenarios for which control measures had to be assessed were agreed prior to the assessment. Considering that RP has been eradicated globally, a re-emergence that is not stopped in its early phases could have a devastating impact on animal health and the economy. The panel concludes that no suitable strategies are available to entirely mitigate the risk associated with granting derogations from killing of animals in an affected establishment or for animal movements. Therefore, the panel recommends to not grant any derogations. The monitoring period of 21 days was assessed as effective, except for the hypothetical first re-emergence of RP, when lack of awareness and diagnostic capability may extend the time to detection. It was concluded that the protection and the surveillance zones would contain 90% and > 99%, respectively, of the infections from an affected establishment. Enlarging the protection zone to 4 km would contain the disease spread with 95% probability.
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Broadway KM, Schwartz-Watjen KT, Swiatecka AL, Hadeed SJ, Owens AN, Batni SR, Wu A. Operational Considerations in Global Health Modeling. Pathogens 2021; 10:pathogens10101348. [PMID: 34684297 PMCID: PMC8537235 DOI: 10.3390/pathogens10101348] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/15/2021] [Accepted: 10/16/2021] [Indexed: 11/16/2022] Open
Abstract
Epidemiological modeling and simulation can contribute cooperatively across multifaceted areas of biosurveillance systems. These efforts can be used to support real-time decision-making during public health emergencies and response operations. Robust epidemiological modeling and simulation tools are crucial to informing risk assessment, risk management, and other biosurveillance processes. The Defense Threat Reduction Agency (DTRA) has sponsored the development of numerous modeling and decision support tools to address questions of operational relevance in response to emerging epidemics and pandemics. These tools were used during the ongoing COVID-19 pandemic and the Ebola outbreaks in West Africa and the Democratic Republic of the Congo. This perspective discusses examples of the considerations DTRA has made when employing epidemiological modeling to inform on public health crises and highlights some of the key lessons learned. Future considerations for researchers developing epidemiological modeling tools to support biosurveillance and public health operations are recommended.
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Affiliation(s)
- Katherine M. Broadway
- Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA;
| | | | - Anna L. Swiatecka
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (A.L.S.); (S.J.H.)
| | - Steven J. Hadeed
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (A.L.S.); (S.J.H.)
| | - Akeisha N. Owens
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA; (A.N.O.); (S.R.B.)
| | - Sweta R. Batni
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA; (A.N.O.); (S.R.B.)
| | - Aiguo Wu
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA; (A.N.O.); (S.R.B.)
- Correspondence:
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Dembek ZF, Schwartz-Watjen KT, Swiatecka AL, Broadway KM, Hadeed SJ, Mothershead JL, Chekol T, Owens AN, Wu A. Coronavirus Disease 2019 on the Heels of Ebola Virus Disease in West Africa. Pathogens 2021; 10:1266. [PMID: 34684215 PMCID: PMC8537256 DOI: 10.3390/pathogens10101266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/27/2021] [Accepted: 09/29/2021] [Indexed: 01/08/2023] Open
Abstract
This study utilized modeling and simulation to examine the effectiveness of current and potential future COVID-19 response interventions in the West African countries of Guinea, Liberia, and Sierra Leone. A comparison between simulations can highlight which interventions could have an effect on the pandemic in these countries. An extended compartmental model was used to run simulations incorporating multiple vaccination strategies and non-pharmaceutical interventions (NPIs). In addition to the customary categories of susceptible, exposed, infected, and recovered (SEIR) compartments, this COVID-19 model incorporated early and late disease states, isolation, treatment, and death. Lessons learned from the 2014-2016 Ebola virus disease outbreak-especially the optimization of each country's resource allocation-were incorporated in the presented models. For each country, models were calibrated to an estimated number of infections based on actual reported cases and deaths. Simulations were run to test the potential future effects of vaccination and NPIs. Multiple levels of vaccination were considered, based on announced vaccine allocation plans and notional scenarios. Increased vaccination combined with NPI mitigation strategies resulted in thousands of fewer COVID-19 infections in each country. This study demonstrates the importance of increased vaccinations. The levels of vaccination in this study would require substantial increases in vaccination supplies obtained through national purchases or international aid. While this study does not aim to develop a model that predicts the future, it can provide useful information for decision-makers in low- and middle-income nations. Such information can be used to prioritize and optimize limited available resources for targeted interventions that will have the greatest impact on COVID-19 pandemic response.
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Affiliation(s)
- Zygmunt F. Dembek
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (Z.F.D.); (A.L.S.); (S.J.H.); (T.C.)
| | - Kierstyn T. Schwartz-Watjen
- Applied Research Associates (ARA), Support to DTRA Technical Reachback, Albuquerque, NM 87110, USA; (K.T.S.-W.); (J.L.M.)
| | - Anna L. Swiatecka
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (Z.F.D.); (A.L.S.); (S.J.H.); (T.C.)
| | - Katherine M. Broadway
- Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA;
| | - Steven J. Hadeed
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (Z.F.D.); (A.L.S.); (S.J.H.); (T.C.)
| | - Jerry L. Mothershead
- Applied Research Associates (ARA), Support to DTRA Technical Reachback, Albuquerque, NM 87110, USA; (K.T.S.-W.); (J.L.M.)
| | - Tesema Chekol
- Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA; (Z.F.D.); (A.L.S.); (S.J.H.); (T.C.)
| | - Akeisha N. Owens
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA;
| | - Aiguo Wu
- Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA;
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Clemmons EA, Alfson KJ, Dutton JW. Transboundary Animal Diseases, an Overview of 17 Diseases with Potential for Global Spread and Serious Consequences. Animals (Basel) 2021; 11:2039. [PMID: 34359167 PMCID: PMC8300273 DOI: 10.3390/ani11072039] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 12/21/2022] Open
Abstract
Animals provide food and other critical resources to most of the global population. As such, diseases of animals can cause dire consequences, especially disease with high rates of morbidity or mortality. Transboundary animal diseases (TADs) are highly contagious or transmissible, epidemic diseases, with the potential to spread rapidly across the globe and the potential to cause substantial socioeconomic and public health consequences. Transboundary animal diseases can threaten the global food supply, reduce the availability of non-food animal products, or cause the loss of human productivity or life. Further, TADs result in socioeconomic consequences from costs of control or preventative measures, and from trade restrictions. A greater understanding of the transmission, spread, and pathogenesis of these diseases is required. Further work is also needed to improve the efficacy and cost of both diagnostics and vaccines. This review aims to give a broad overview of 17 TADs, providing researchers and veterinarians with a current, succinct resource of salient details regarding these significant diseases. For each disease, we provide a synopsis of the disease and its status, species and geographic areas affected, a summary of in vitro or in vivo research models, and when available, information regarding prevention or treatment.
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Affiliation(s)
- Elizabeth A. Clemmons
- Southwest National Primate Research Center, Texas Biomedical Research Institute, 8715 W. Military Drive, San Antonio, TX 78227, USA;
| | - Kendra J. Alfson
- Texas Biomedical Research Institute, 8715 W. Military Drive, San Antonio, TX 78227, USA
| | - John W. Dutton
- Southwest National Primate Research Center, Texas Biomedical Research Institute, 8715 W. Military Drive, San Antonio, TX 78227, USA;
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Asadzadeh A, Pakkhoo S, Saeidabad MM, Khezri H, Ferdousi R. Information technology in emergency management of COVID-19 outbreak. INFORMATICS IN MEDICINE UNLOCKED 2020; 21:100475. [PMID: 33204821 PMCID: PMC7661942 DOI: 10.1016/j.imu.2020.100475] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 12/20/2022] Open
Abstract
Emergency management of the emerging infectious disease outbreak is critical for public health threats. Currently, control of the COVID-19 outbreak is an international concern and has become a crucial challenge in many countries. This article reviews significant information technologyIT) applications in emergency management of COVID-19 by considering the prevention/mitigation, preparedness, response, and recovery phases of the crisis. This review was conducted using MEDLINE PubMed), Embase, IEEE, and Google Scholar. Expert opinions were collected to show existence gaps, useful technologies for each phase of emergency management, and future direction. Results indicated that various IT-based systems such as surveillance systems, artificial intelligence, computational methods, Internet of things, remote sensing sensor, online service, and GIS geographic information system) could have different outbreak management applications, especially in response phases. Information technology was applied in several aspects, such as increasing the accuracy of diagnosis, early detection, ensuring healthcare providers' safety, decreasing workload, saving time and cost, and drug discovery. We categorized these applications into four core topics, including diagnosis and prediction, treatment, protection, and management goals, which were confirmed by five experts. Without applying IT, the control and management of the crisis could be difficult on a large scale. For reducing and improving the hazard effect of disaster situations, the role of IT is inevitable. In addition to the response phase, communities should be considered to use IT capabilities in prevention, preparedness, and recovery phases. It is expected that IT will have an influential role in the recovery phase of COVID-19. Providing IT infrastructure and financial support by the governments should be more considered in facilitating IT capabilities.
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Affiliation(s)
- Afsoon Asadzadeh
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Saba Pakkhoo
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahsa Mirzaei Saeidabad
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hero Khezri
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Reza Ferdousi
- Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
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Xue Q, Liu H, Sun M, Zhao W, Chen Y, Chen J, Wei C, Cai X, Xue Q. Peste des petits ruminants virus hemagglutinin (H) induces lysosomal degradation of host cyclophilin A to facilitate viral replication. Virus Res 2019; 277:197844. [PMID: 31866422 DOI: 10.1016/j.virusres.2019.197844] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 12/12/2019] [Accepted: 12/18/2019] [Indexed: 10/25/2022]
Abstract
Peste des petits ruminants virus (PPRV) is a highly contagious disease that affects sheep and goats. To better understand PPRV replication and virulence, cyclophilin A (CypA), a multifunctional goat host protein, was selected for further studies. CypA has been reported to inhibit or facilitate viral replication. However, the precise roles of CypA during PPRV infection remain unclear. Our data show for the first time that CypA suppressed PPRV replication by its PPIase activity, and PPRV infection decreased CypA protein levels. Detailed analysis revealed that PPRV H protein was responsible for the reduction of CypA, which was dependent on the lysosome pathway. No interaction was identified between H and CypA. Furthermore, the 35-58 region of H was essential for the reduction of CypA. In conclusion, our findings identify the antiviral role of CypA against PPRV and provide key insights into how PPRV H protein antagonizes host antiviral response.
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Affiliation(s)
- Qiao Xue
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Huaidong Liu
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Miao Sun
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Wei Zhao
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Yanfei Chen
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Jian Chen
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Chunxia Wei
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Xuepeng Cai
- China Institute of Veterinary Drug Control, Beijing, 100081, China.
| | - Qinghong Xue
- China Institute of Veterinary Drug Control, Beijing, 100081, China.
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