Abstract:
:In this study, we propose to develop a geostatistical computational framework to model the distribution of rat bite infestation of epidemic proportion in Peshawar valley, Pakistan. Two species Rattus norvegicus and Rattus rattus are suspected to spread the infestation. The framework combines strengths of maximum entropy algorithm and binomial kriging with logistic regression to spatially model the distribution of infestation and to determine the individual role of environmental predictors in modeling the distribution trends. Our results demonstrate the significance of a number of social and environmental factors in rat infestations such as (I) high human population density; (II) greater dispersal ability of rodents due to the availability of better connectivity routes such as roads, and (III) temperature and precipitation influencing rodent fecundity and life cycle.
journal_name
Environ Monit Assessjournal_title
Environmental monitoring and assessmentauthors
Ali A,Zaidi F,Fatima SH,Adnan M,Ullah Sdoi
10.1007/s10661-018-6615-5subject
Has Abstractpub_date
2018-03-24 00:00:00pages
245issue
4eissn
0167-6369issn
1573-2959pii
10.1007/s10661-018-6615-5journal_volume
190pub_type
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