scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1020874882 |
P356 | DOI | 10.1186/1471-2334-8-125 |
P932 | PMC publication ID | 2564933 |
P698 | PubMed publication ID | 18811968 |
P5875 | ResearchGate publication ID | 23277001 |
P50 | author | Jan Hendrik Richardus | Q88812594 |
P2093 | author name string | L Oskam | |
D Pahan | |||
Eaj Fischer | |||
Sk Chowdhury | |||
P2860 | cites work | Social distance and spatial distance are not the same, observations on the use of GIS in leprosy epidemiology | Q57931325 |
A study on transmission and a trial of chemoprophylaxis in contacts of leprosy patients: design, methodology and recruitment findings of COLEP | Q57937906 | ||
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The prevalence of previously undiagnosed leprosy in the general population of northwest bangladesh | Q33321219 | ||
The spatial distribution of leprosy cases during 15 years of a leprosy control program in Bangladesh: an observational study | Q33371391 | ||
The use of Geographical Information System (GIS) to improve active leprosy case finding campaigns in the municipality of Mossoró, Rio Grande do Norte State, Brazil | Q39823030 | ||
Physical distance, genetic relationship, age, and leprosy classification are independent risk factors for leprosy in contacts of patients with leprosy | Q43854409 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | ArcGIS | Q513297 |
P921 | main subject | village | Q532 |
Bangladesh | Q902 | ||
leprosy | Q36956 | ||
P304 | page(s) | 125 | |
P577 | publication date | 2008-09-23 | |
P1433 | published in | BMC Infectious Diseases | Q15759919 |
P1476 | title | The spatial distribution of leprosy in four villages in Bangladesh: an observational study | |
P478 | volume | 8 |
Q92226154 | Clinical and epidemiological indicators and spatial analysis of leprosy cases in patients under 15 years old in an endemic area of Northeast Brazil: an ecological and time series study |
Q34431543 | Cost-effectiveness analysis of three leprosy case detection methods in Northern Nigeria |
Q42967450 | Detecting spatial clusters of Taenia solium infections in a rural block in South India |
Q34817271 | Detection of arbitrarily-shaped clusters using a neighbor-expanding approach: a case study on murine typhus in south Texas |
Q33761148 | Different mechanisms for heterogeneity in leprosy susceptibility can explain disease clustering within households |
Q90190639 | Predicting the impact of household contact and mass chemoprophylaxis on future new leprosy cases in South Tarawa, Kiribati: A modelling study |
Q40012771 | Spatial analysis of leprosy incidence and associated socioeconomic factors |
Q34341145 | Spatial cluster detection for ordinal outcome data |
Q36291536 | Spatial clustering and local risk of leprosy in São Paulo, Brazil. |
Q92172667 | The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005-2018 |
Q34032050 | The long-term effect of current and new interventions on the new case detection of leprosy: a modeling study |
Q33321219 | The prevalence of previously undiagnosed leprosy in the general population of northwest bangladesh |
Q33371391 | The spatial distribution of leprosy cases during 15 years of a leprosy control program in Bangladesh: an observational study |
Q30393228 | Utilizing spatiotemporal analysis of influenza-like illness and rapid tests to focus swine-origin influenza virus intervention |