2019
DOI: 10.1186/s13071-019-3686-2
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Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya

Abstract: Background As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formulating future policies for morbidity and/or transmission control. Prevalence and mean intensity of infection are characterized by heterogeneity across a region, leading to uncertainty in the impact of M… Show more

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Cited by 31 publications
(51 citation statements)
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“…In this section we illustrate the impact of adherence, as described by our mathematical model, on the predictions made by simulations for the outcome of MDA on the chances Table 3. The positive predictive value (PPV) for elimination evaluated by fully age-structured stochastic individual-based simulations of hookworm (with adult worm and eggs/larvae mortality rates set to µ 1 = 0.5 and µ 2 = 26.0 per year, respectively and the density dependent fecundity factor is set to γ = 0.01, as considered in Ref [16]) with two different clustered community types specified by the TUMIKIA transmission parameters inferred from the baseline epidemiological data in Ref [16]. The parameters quoted are the endemic prevalence P , parasite aggregation parameter k, basic reproduction number R 0 and cluster population number N , where the age profiles are all assumed to be exactly flat for simplicity.…”
Section: The Impact Of Adherence On Forecastsmentioning
confidence: 99%
“…In this section we illustrate the impact of adherence, as described by our mathematical model, on the predictions made by simulations for the outcome of MDA on the chances Table 3. The positive predictive value (PPV) for elimination evaluated by fully age-structured stochastic individual-based simulations of hookworm (with adult worm and eggs/larvae mortality rates set to µ 1 = 0.5 and µ 2 = 26.0 per year, respectively and the density dependent fecundity factor is set to γ = 0.01, as considered in Ref [16]) with two different clustered community types specified by the TUMIKIA transmission parameters inferred from the baseline epidemiological data in Ref [16]. The parameters quoted are the endemic prevalence P , parasite aggregation parameter k, basic reproduction number R 0 and cluster population number N , where the age profiles are all assumed to be exactly flat for simplicity.…”
Section: The Impact Of Adherence On Forecastsmentioning
confidence: 99%
“…There are two important differences between the ICL and the EMC model. Firstly, the ICL model assumes that the relative exposure to hookworm infections and contribution to the environmental reservoir of infection are the same for all age groups and just depend on the burden of adult worms in an age group [14]. In other words, the FoI is xed an independent of age.…”
Section: Stochastic Individual-based Modelmentioning
confidence: 99%
“…Using Eqs. (25) and (32), we have plotted a calculation of both the probability of the number of net growers for communities with configurations C1 and C2 (see Table 1) in Fig. 4 and the expected number of net growers as a function of the prevalence in Fig.…”
Section: The 'Breakpoint' Of Stochastic Simulationsmentioning
confidence: 99%
“…is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint Table 1: The particular configurations with hookworm parameters [32] used for demonstration in this work.…”
mentioning
confidence: 99%