References
- Abboubakar, M., Kamgang, J. and Tieudjo, D. (2015). Backward bifurcation and control in transmission dynamics of arboviral diseases, Mathematical Biosciences 278(1): 100-129.
- Al-Tawfiq, J., Smallwood, C., Arbuthnott, K., Malik, M.S., Barbeschi, M. and Memish, Z. (2012). Emerging respiratory and novel coronavirus 2012 infections and mass gatherings, East Mediterr Health Journal 19(1): 48-54.
- Aldila, D., Nuraini, N. and Soewono, E. (2014). Optimal control problem of preventing of swine flu disease transmission, Applied Mathematical Science 8(71): 3501-3512.
- Aldila, D., Soewono, E. and Nuraini, N. (2012). On the analysis of effectiveness in mass application of mosquito repellent for dengue disease prevention, AIP Conference Proceedings 1450(1): 103-109.
- Assiri, A., McGeer, A., Perl, T., Price, C., Al Rabeaah, A. and Cummings, D. (2013). Hospital outbreak of Middle East respiratory syndrome coronavirus, The New England Journal of Medicine 369(5): 407-416.
- Cauchemez, S., Fraser, C., Van Kerkhove, M., Donnelly, C., Riley, S. and Rambaut, A. (2014). Middle East respiratory syndrome coronavirus: Quantification of the extent of the epidemic, surveillance biases, and transmissibility, Lancet Infectious Diseases 14(1): 5056.10.1016/S1473-3099(13)70304-9
- Chowell, G., Blumberg, S., Simonsen, L., Miller, M. and Viboud, C. (2014). Synthesizing data and models for the spread of MERS-CoV, 2013: Key role of index cases and hospital transmission, Epidemics 9(1): 40-51.
- Diekmann, O. and Heesterbeek, J. (2000). Mathematical Epidemiology of Infectious Diseases, Model Building, Analysis and Interpretation, John Wiley & Son, Chichester.
- Diekmann, O., Heesterbeek, J. and Metz, J. (1990). On the definition and the computation of the basic reproduction ratio of R0 in models of infectious disease in heterogeneous populations, Journal of Mathematical Biology 28(4): 365-382.
- Diekmann, O., Heesterbeek, J. and Roberts, M. (2010). The construction of next-generation matrices for compartmental epidemic models, Journal of The Royal Society Interface 7(47): 873-885.
- Ejima, K., Aihara, K. and Nishiura, H. (2014). Probabilistic differential diagnosis of Middle East respiratory syndrome (MERS) using the time from immigration to illness onset among imported cases, Journal of Theoretical Biology 346(1).
- Gautret, P. (2013). Middle East respiratory syndrome (MERS)coronavirus: What travel health advice should be given to Hajj pilgrims?, Travel Medicine and Infectious Disease 11(5): 263-265.
- Gerberry, D. (2016). Practical aspects of backward bifurcation in a mathematical model for tuberculosis, Journal of Theoretical Biology 388(1): 15-36.
- Haagmans, B., Al Dhahiry, S., Reusken, C., Raj, V. and Galiano, M. (2014). Middle East respiratory syndrome coronavirus in dromedary camels: An outbreak investigation, Lancet Infectious Diseases 14(2): 140-145.10.1016/S1473-3099(13)70690-X
- Malik, T.M., Alsaleh, A.A., Gumel, A.B. and Safi, M.A. (2015). Optimal strategies for controlling the MERS coronavirus during a mass gathering, Global Journal of Pure and Applied Mathematics 11(6): 4831-4865.
- Muller, M.,Meyer, B., Corman, V., Al-Masri,M., Turkestani, A. and Ritz, D. (2015). Presence of Middle East respiratory syndrome coronavirus antibodies in Saudi Arabia: A nationwide, cross-sectional, serological study, Lancet Infectious Diseases 15(5): 559-564.
- Novkaniza, F., Ivana and Aldila, D. (2016). Controlling influenza disease: Comparison between discrete time Markov chain and deterministic model, AIP Conference Proceedings 1723(1): 030015-10, DOI: 10.1063/1.4945073.
- Obaid, H.A., Ouifki, R. and Patidar, K.C. (2013). An unconditionally stable nonstandard finite difference method applied to a mathematical model of HIV infection, International Journal of Applied Mathematics and Computer Science 23(2): 357-372, DOI: 10.2478/amcs-2013-0027.10.2478/amcs-2013-0027
- Okuonghae, D. (2013). A mathematical model of tuberculosis transmission with heterogeneity in disease susceptibility and progression under a treatment regime for infectious cases, Applied Mathematical Modelling 37(10-11): 6786-6808.
- Omrani, A., Abdul-Mutin, M., Haddad, Q., Al-Nakhli, D., Memish, Z. and Albarrak, A. (2013). A family cluster of Middle East respiratory syndrome coronavirus infectious related to a likely unrecognized asymptomatic or mild case, International Journal of Infectious Disease 17(9): 668-672.
- Paez Chavez, J., Gotz, T., Siegmund, S. and Wijaya, K. (2017). An SIR-Dengue transmission model with seasonal effects and impulsive control, Mathematical Biosciences 289(2): 29-39.
- Pattnaik, S., Bakwad, K., Sohi, B., Ratho, R. and Devi, S. (2013). Swine influenza models based optimization(SIMBO), Applied Soft Computing 13(1): 628-653. 10.1016/j.asoc.2012.07.010
- Poletto, C., Pelat, C., Levy-Bruhl, D., Yazdanpanah, Y., Boelle, P.-Y. and Colizza, V. (2014). Assessment of the Middle East respiratory syndrome coronavirus (MERS-COV) epidemic in the Middle East and risk of international spread using a novel maximum likelihood analysis approach, Eurosurveillance 19(23): 20824.
- Reusken, C.B.E.M., Haagmans, B.L., Muller, M.A., Gutierrez, C., Godeke, G.J., Meyer, B.,Muth, D., Raj, V.S., Smits-De Vries, L., Corman, V.M., Drexler, J.-F., Smits, S.L., El Tahir, Y.E., De Sousa, R., van Beek, J., Nowotny, N., van Maanen, K., Hidalgo-Hermoso, E., Bosch, B.J., Rottier, P., Osterhaus, A., Gortazar-Schmidt, C., Drosten, C. and Koopmans, M.P.G. (2013). Middle East respiratory syndrome coronavirus neutralising serum antibodies in dromedary camels: A comparative serological study, Lancet Infectious Diseases 13(10): 859-866.
- Saha, S. and Roy, P.K. (2017). A comparative study between two systems with and without awareness in controlling HIV/AIDS, International Journal of Applied Mathematics and Computer Science 27(2): 337-350, DOI: 10.1515/amcs-2017-0024.10.1515/amcs-2017-0024
- WHO (2013). Revised interim case definition for reporting to WHO-Middle East respiratory syndrome coronavirus (MERS-CoV), www.who.int/csr/disease/coronavirus_infections/case_definition_03_07_2014/en/.
- WHO (2016). Middle East respiratory syndrome coronavirus (MERS-CoV), www.who.int/mediacentre/factsheets/mers-cov/en.
- Xia, Z.-Q., Zhang, J., Xue, Y.-K., Sun, G.-Q. and Jin, Z. (2015). Modeling the transmission of Middle East respirator syndrome corona virus in the Republic of Korea, PLoS ONE 10(12): e0144778.
- Xu, Z. and Ai, C. (2016). Traveling waves in a diffusive influenza epidemic model with vaccination, Applied Mathematical Modelling 40(15-16): 7265-7280.
- Zaki, A., van Boheemen, S., Bestebroer, T., Osterhaus, A. and Fouchier, R. (2012). Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia, The New England Journal of Medicine 367(19): 1814-1820.