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Meer T Alam

Biographic Data

ID7033034
NAMEMeer T Alam
GIVEN NAMESMeer T
FAMILY NAMEAlam
SIGNATUREALAM M T
AFFILIATIONSUniversity of Florida
ORCID0000-0002-0703-740X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Spatial Video and EpiExplorer

    Open Access•Jayakrishnan Ajayakumar, Andrew Curtis et al.•ARTICLE•International Journal of…•2022

    Disease risk associated with contaminated water, poor sanitation, and hygiene in informal settlement environments is conceptually well understood. From an analytical perspective, collecting data at a suitably fine scale spatial and temporal granularity is challenging. Novel mobile methodologies, such as spatial video (SV), can complement more traditional epidemiological field work to address this gap. However, this work then poses additional chal…

  • Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti

    Open Access•Andrew Curtis, Robert H Squires et al.•ARTICLE•International Journal of…•2019

    Diffusion of cholera and other diarrheal diseases in an informal settlement is a product of multiple behavioral, environmental and spatial risk factors. One of the most important components is the spatial interconnections among water points, drainage ditches, toilets and the intervening environment. This risk is also longitudinal and variable as water points fluctuate in relation to bacterial contamination. In this paper we consider part of this …

  • Mapping to Support Fine Scale Epidemiological Cholera Investigations

    Open Access•Andrew Curtis, Jason K Blackburn et al.•ARTICLE•International Journal of…•2016

    The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also…

No prominent works on this page.

  • Mapping to Support Fine Scale Epidemiological Cholera Investigations

    Open Access•Andrew Curtis, Jason K Blackburn et al.•ARTICLE•International Journal of…•2016

    The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also…

  • Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti

    Open Access•Andrew Curtis, Robert H Squires et al.•ARTICLE•International Journal of…•2019

    Diffusion of cholera and other diarrheal diseases in an informal settlement is a product of multiple behavioral, environmental and spatial risk factors. One of the most important components is the spatial interconnections among water points, drainage ditches, toilets and the intervening environment. This risk is also longitudinal and variable as water points fluctuate in relation to bacterial contamination. In this paper we consider part of this …

  • Spatial Video and EpiExplorer

    Open Access•Jayakrishnan Ajayakumar, Andrew Curtis et al.•ARTICLE•International Journal of…•2022

    Disease risk associated with contaminated water, poor sanitation, and hygiene in informal settlement environments is conceptually well understood. From an analytical perspective, collecting data at a suitably fine scale spatial and temporal granularity is challenging. Novel mobile methodologies, such as spatial video (SV), can complement more traditional epidemiological field work to address this gap. However, this work then poses additional chal…

Geography (3 works) · Cartography (2 works) · Data-Driven Disease Surveillance (2 works) · Ecology (2 works) · Engineering (2 works) · Environmental health (2 works) · Environmental Science (2 works) · Epidemiology (2 works) · Human settlement (2 works) · Medicine (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae