Evidence map›Paper›PMID 29574620›Full record

ArticleEnvironmental monitoring and assessment2018

Spatial modeling of rat bites and prediction of rat infestation in Peshawar valley using binomial kriging with logistic regression.

Asad Ali, Farrah Zaidi, Syeda Hira Fatima, Muhammad Adnan, Saleem Ullah

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Asad AliDepartment of Space Science, Institute of Space Technology, Islamabad, 44000, Pakistan. asad.ali@ist.edu.pk.ORCID http://orcid.org/0000-0002-5164-7942
Farrah ZaidiDepartment of Zoology, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Syeda Hira FatimaDepartment of Space Science, Institute of Space Technology, Islamabad, 44000, Pakistan.
Muhammad AdnanDepartment of Zoology, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Saleem UllahDepartment of Space Science, Institute of Space Technology, Islamabad, 44000, Pakistan.
Institute of Space Technology · PKUniversity of Peshawar · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Spatial AnalysisAnimalsEnvironmental MonitoringHumansLogistic ModelsMalePakistanPopulation DensityRatsRodentiaTemperatureBinomial krigingLogistic regressionRat biteSpatial modelingVariogram

Identifiers

PMID29574620
OpenAlexW2792247511

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.