2019
DOI: 10.1016/j.scitotenv.2019.05.401
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Effects of time-lagged meteorological variables on attributable risk of leishmaniasis in central region of Afghanistan

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Cited by 15 publications
(10 citation statements)
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“…Previous studies have linked malaria incidence to occupation, such as agriculture and forestry in Bangladesh, Afghanistan, Cambodia, and Indonesia [2,3,9,66]. A large proportion (40-50%) of Chittagong Hill Tract's population engages in agricultural activities [67], which could expose these populations to the vectors [33,61]. However, occupation could not explain our findings of a higher vulnerability of children and the elderly to malaria with rainfall.…”
Section: Discussioncontrasting
confidence: 56%
See 1 more Smart Citation
“…Previous studies have linked malaria incidence to occupation, such as agriculture and forestry in Bangladesh, Afghanistan, Cambodia, and Indonesia [2,3,9,66]. A large proportion (40-50%) of Chittagong Hill Tract's population engages in agricultural activities [67], which could expose these populations to the vectors [33,61]. However, occupation could not explain our findings of a higher vulnerability of children and the elderly to malaria with rainfall.…”
Section: Discussioncontrasting
confidence: 56%
“…It is very common in time-series analysis to use distributed lag models (DLMs) [32] or its generalization, distributed lag non-linear models (DLNMs) [21,31]. DLNM has been widely used to assess the association between meteorological variables and infectious diseases such as leishmaniasis [33], tuberculosis [34], pneumonia [35], and malaria [36][37][38][39][40]. Preliminary analysis based on Poisson generalized linear models indicated an overdispersion due to non-linear patterns and large variance; therefore, quasi-Poisson models were used.…”
Section: Discussionmentioning
confidence: 99%
“…applied generalize linear Poisson models in combination with autoregressive model to investigate the effect of weekly mean temperature and humidity on the incidence of mycoplasma pneumonia in Japan 23 , Adegboye et al . used a spatial time-series regression model to investigate the influence of temperature and rainfall on malaria and leishmaniosis in Afghanistan 2426 , and Xiao et al . applied a distributed lag non-linear model to study the effects of multiple meteorological variables on monthly incidence of TB in Southwest China 27 .…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the survival of adult sandflies in temperatures lower than 15°C was not reported [31]. The direct effect of temperature was also reported in studies by Ramezankhani et al [18] and Adegboye et al in Afghanistan [30], and Ghatee et al [21] and Artun in Turkey [23]. Moreover, monthly cases were associated with the mean monthly temperature at a lag of five months (r=0.576) and with a monthly accumulated evaporation lag of five months (r=0.513) [17].…”
Section: Temperaturementioning
confidence: 83%
“…After evaluation, 45 full-text articles were removed, and 23 full-text articles met the eligibility criteria for the systematic review. Finally, after removing nine articles, 14 full-text articles were included in the systematic review (shown in Table 1) [1,6,9,11,12,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Based on the findings, the effects of environmental factors on the incidence of CL in the Old World are discussed below.…”
Section: Resultsmentioning
confidence: 99%