The impact of self-protective measures in the optimal interventions for controlling infectious diseases of human population

Kassa, Semu Mitiku; Ouhinou, Aziz

doi:10.1007/s00285-014-0761-3

Cited by 58 publications

(69 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[71,77], Reniers & Armbruster [78], Reluga & Li [79], Viljoen et al [80]—Tully et al . [75]—other and generalKassa & Ouhinou [81,82]——Marshall et al . [83]—syphilis and gonorrhoeacondom use—Morin et al .…”

Section: Resultsmentioning

confidence: 99%

“…[42], Larson & Nigmatulina [49], Barrett et al . [58], Kassa & Ouhinou [82], Maharaj & Kleczkowski [134], Schimit & Monteiro [158], Kitchovitch & Lio [184,185], Shang [188]Tully et al . [75], Wells et al .…”

Section: Resultsmentioning

confidence: 99%

“…The largest category embodies 76 references managing information as a dynamic parameter [3,25,34,40,43,47–50,53,55,60,61,65–68,70,71,74,77,80,82,86,92,94–96,99,100,102,104–109,113,115–117,119–126,128–131,133,134,137,148,149,153,157,161,165,166,168,171–178,184–186,188,189]. In this category, instead of a threshold, the information is a continuous input in the decision-making process of individuals.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Verelst

Willem

Beutels

2016

J. R. Soc. Interface.

328

311

View full text Add to dashboard Cite

We review behavioural change models (BCMs) for infectious disease transmission in humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our systematic search and selection yielded 178 papers covering the period 2010–2015. We observe an increasing trend in published BCMs, frequently coupled to (re)emergence events, and propose a categorization by distinguishing how information translates into preventive actions. Behaviour is usually captured by introducing information as a dynamic parameter (76/178) or by introducing an economic objective function, either with (26/178) or without (37/178) imitation. Approaches using information thresholds (29/178) and exogenous behaviour formation (16/178) are also popular. We further classify according to disease, prevention measure, transmission model (with 81/178 population, 6/178 metapopulation and 91/178 individual-level models) and the way prevention impacts transmission. We highlight the minority (15%) of studies that use any real-life data for parametrization or validation and note that BCMs increasingly use social media data and generally incorporate multiple sources of information (16/178), multiple types of information (17/178) or both (9/178). We conclude that individual-level models are increasingly used and useful to model behaviour changes. Despite recent advancements, we remain concerned that most models are purely theoretical and lack representative data and a validation process.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Verelst

Willem

Beutels

2016

J. R. Soc. Interface.

328

311

View full text Add to dashboard Cite

show abstract

“…The expansion and improvement of HIV and AIDS education around the world is critical to preventing the spread of HIV [37]. Those convinced to apply any of the preventive mechanisms against HIV infection, will enjoy a reduced risk of infection by HIV.…”

Section: Preventive Education (A)mentioning

confidence: 99%

“…Then its application in the dynamics is modelled by simply replacing the term α H in (3) by (α H0 + u 2 (t)). Because of practicality and economic limitations on the maximum rate of convincing individuals for behaviour modification, we also assume that α Hmax > 0 to be the maximum rate as indicated in [37] and 0 ≤ α H0 + u 2 (t) ≤ α Hmax ≤ 1.…”

Section: Preventive Education (A)mentioning

confidence: 99%

Optimal Control Strategy for TB-HIV/AIDS Co-Infection Model in the Presence of Behaviour Modification

Awoke

Kassa

2018

Processes

View full text Add to dashboard Cite

A mathematical model for a transmission of TB-HIV/AIDS co-infection that incorporates prevalence dependent behaviour change in the population and treatment for the infected (and infectious) class is formulated and analyzed. The two sub-models, when each of the two diseases are considered separately are mathematically analyzed. The theory of optimal control analysis is applied to the full model with the objective of minimizing the aggregate cost of the infections and the control efforts. In the numerical simulation section, various combinations of the controls are also presented and it has been shown in this part that the optimal combination of both prevention and treatment controls will suppress the prevalence of both HIV and TB to below 3% within 10 years. Moreover, it is found that the treatment control is more effective than the preventive controls.

show abstract

Effect of negligence and length of time delay in spontaneous behavioural changes for the response to epidemics

Kassa

Workineh

2018

Math Methods in App Sciences

Self Cite

View full text Add to dashboard Cite

MSC Classification: 92D30; 34K20; 93C23; 49M05; 49N25 It is understood that public health education and informal communications can impact on perceptions of disease threat, which could result in influencing behaviour of individuals to take any possible self-protective measures. On the other hand, the information about the actual status of the disease dynamics, on which the public health education is based, can be known only after its data are collected and processed. This may take a significant amount of time, and therefore, there is a time gap between what the public knows about the prevalence of the disease and the actual distribution of the disease in the population. Furthermore, there is a memory decay and negligence from the side of the population in applying protective mechanisms as the disease becomes endemic. In this paper, a mathematical model for human disease epidemics that takes a change in human behaviour and effect of negligence into account is formulated and analysed. The model investigates the effect of negligence (from the side of the population) and time lag (in disclosing the actual prevalence of the disease) in the dynamics and control of the disease. The numerical results show that the length of the delay has a significant impact on the control strategy rather than on the dynamics without control. In addition, announcing the prevalence value once every time it is updated and keeping that value constant has the same effect on the dynamics as compared with updating the same continuously. Moreover, it is also shown that the negligence parameter significantly affects the overall prevalence of the disease.

show abstract

The impact of self-protective measures in the optimal interventions for controlling infectious diseases of human population

Cited by 58 publications

References 26 publications

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Optimal Control Strategy for TB-HIV/AIDS Co-Infection Model in the Presence of Behaviour Modification

Effect of negligence and length of time delay in spontaneous behavioural changes for the response to epidemics

Contact Info

Product

Resources

About