Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs

Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden...
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Autor*in:	Salisu M. Muhammad [verfasserIn] Evren Hincal [verfasserIn] Umar Tasiu Mustapha [verfasserIn] Abdullahi Yusuf [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting

Übergeordnetes Werk:	In: Results in Physics - Elsevier, 2015, 28(2021), Seite 104683-
Übergeordnetes Werk:	volume:28 ; year:2021 ; pages:104683-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.rinp.2021.104683

Katalog-ID:	DOAJ062523341

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520			\|a Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic.
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allfields	10.1016/j.rinp.2021.104683 doi (DE-627)DOAJ062523341 (DE-599)DOAJ167eb4162f4740e385ea862e6a181aa5 DE-627 ger DE-627 rakwb eng QC1-999 Salisu M. Muhammad verfasserin aut Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic. Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics Evren Hincal verfasserin aut Umar Tasiu Mustapha verfasserin aut Abdullahi Yusuf verfasserin aut In Results in Physics Elsevier, 2015 28(2021), Seite 104683- (DE-627)670211257 (DE-600)2631798-9 22113797 nnns volume:28 year:2021 pages:104683- https://doi.org/10.1016/j.rinp.2021.104683 kostenfrei https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211379721007646 kostenfrei https://doaj.org/toc/2211-3797 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2021 104683-
spelling	10.1016/j.rinp.2021.104683 doi (DE-627)DOAJ062523341 (DE-599)DOAJ167eb4162f4740e385ea862e6a181aa5 DE-627 ger DE-627 rakwb eng QC1-999 Salisu M. Muhammad verfasserin aut Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic. Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics Evren Hincal verfasserin aut Umar Tasiu Mustapha verfasserin aut Abdullahi Yusuf verfasserin aut In Results in Physics Elsevier, 2015 28(2021), Seite 104683- (DE-627)670211257 (DE-600)2631798-9 22113797 nnns volume:28 year:2021 pages:104683- https://doi.org/10.1016/j.rinp.2021.104683 kostenfrei https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211379721007646 kostenfrei https://doaj.org/toc/2211-3797 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2021 104683-
allfields_unstemmed	10.1016/j.rinp.2021.104683 doi (DE-627)DOAJ062523341 (DE-599)DOAJ167eb4162f4740e385ea862e6a181aa5 DE-627 ger DE-627 rakwb eng QC1-999 Salisu M. Muhammad verfasserin aut Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic. Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics Evren Hincal verfasserin aut Umar Tasiu Mustapha verfasserin aut Abdullahi Yusuf verfasserin aut In Results in Physics Elsevier, 2015 28(2021), Seite 104683- (DE-627)670211257 (DE-600)2631798-9 22113797 nnns volume:28 year:2021 pages:104683- https://doi.org/10.1016/j.rinp.2021.104683 kostenfrei https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211379721007646 kostenfrei https://doaj.org/toc/2211-3797 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2021 104683-
allfieldsGer	10.1016/j.rinp.2021.104683 doi (DE-627)DOAJ062523341 (DE-599)DOAJ167eb4162f4740e385ea862e6a181aa5 DE-627 ger DE-627 rakwb eng QC1-999 Salisu M. Muhammad verfasserin aut Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic. Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics Evren Hincal verfasserin aut Umar Tasiu Mustapha verfasserin aut Abdullahi Yusuf verfasserin aut In Results in Physics Elsevier, 2015 28(2021), Seite 104683- (DE-627)670211257 (DE-600)2631798-9 22113797 nnns volume:28 year:2021 pages:104683- https://doi.org/10.1016/j.rinp.2021.104683 kostenfrei https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211379721007646 kostenfrei https://doaj.org/toc/2211-3797 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2021 104683-
allfieldsSound	10.1016/j.rinp.2021.104683 doi (DE-627)DOAJ062523341 (DE-599)DOAJ167eb4162f4740e385ea862e6a181aa5 DE-627 ger DE-627 rakwb eng QC1-999 Salisu M. Muhammad verfasserin aut Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic. Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics Evren Hincal verfasserin aut Umar Tasiu Mustapha verfasserin aut Abdullahi Yusuf verfasserin aut In Results in Physics Elsevier, 2015 28(2021), Seite 104683- (DE-627)670211257 (DE-600)2631798-9 22113797 nnns volume:28 year:2021 pages:104683- https://doi.org/10.1016/j.rinp.2021.104683 kostenfrei https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211379721007646 kostenfrei https://doaj.org/toc/2211-3797 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2021 104683-
language	English
source	In Results in Physics 28(2021), Seite 104683- volume:28 year:2021 pages:104683-
sourceStr	In Results in Physics 28(2021), Seite 104683- volume:28 year:2021 pages:104683-
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institution	findex.gbv.de
topic_facet	Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting Physics
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container_title	Results in Physics
authorswithroles_txt_mv	Salisu M. Muhammad @@aut@@ Evren Hincal @@aut@@ Umar Tasiu Mustapha @@aut@@ Abdullahi Yusuf @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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language_de	englisch
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callnumber-first	Q - Science
author	Salisu M. Muhammad
spellingShingle	Salisu M. Muhammad misc QC1-999 misc Reproduction number misc Chlamydia trachomatis misc Stability misc Sensitivity analysis misc Parameter estimation misc Model fitting misc Physics Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
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topic_title	QC1-999 Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs Reproduction number Chlamydia trachomatis Stability Sensitivity analysis Parameter estimation Model fitting
topic	misc QC1-999 misc Reproduction number misc Chlamydia trachomatis misc Stability misc Sensitivity analysis misc Parameter estimation misc Model fitting misc Physics
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title	Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
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title_full	Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
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author_browse	Salisu M. Muhammad Evren Hincal Umar Tasiu Mustapha Abdullahi Yusuf
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title_sort	mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
callnumber	QC1-999
title_auth	Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
abstract	Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic.
abstractGer	Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic.
abstract_unstemmed	Trachoma is among neglected tropical diseases (NTDs) which the World Health Organization (WHO) designated as a priority for surveillance and elimination. The severity of the epidemic has largely been controlled in many countries, but continues to inflict severe public health and socioeconomic burden in some parts of Nigeria. One of the major reasons for Nigeria’s failure in the fight against the epidemic is lack of effective health care system and awareness programs which play a vital role in the control of the blinding trachoma epidemic. This study proposed a mathematical model to study the transmission dynamics of blinding trachoma in Nigeria that consider both person to person and vector transmission dynamics. The analysis shows that the disease-free equilibrium is locally asymptotically stable when R01. We fit the model with field data instances from Northern Nigeria and provide a detailed estimation of the model parameters. Our result shows that, the epidemic could increase if awareness programs are not properly implemented. We obtained some simulation results with the aid of mesh plots for the reproductive number R0as a function of two different biological parameters. Using forward sensitivity index approach, we perform sensitive analysis to point out the most sensitive parameters that should be considered to effectively control the epidemic. Finally, This research suggest that, the awareness programs and improvement of personal hygiene will play a significant role in controlling the spread of the epidemic.
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title_short	Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs
url	https://doi.org/10.1016/j.rinp.2021.104683 https://doaj.org/article/167eb4162f4740e385ea862e6a181aa5 http://www.sciencedirect.com/science/article/pii/S2211379721007646 https://doaj.org/toc/2211-3797
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Mathematical modeling and analysis for the transmission dynamics of blinding trachoma with effect of awareness programs

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