Literature DB >> 16407340

Analysis of malaria cases in Bangladesh with remote sensing data.

Atiqur Rahman1, Felix Kogan, Leonid Roytman.   

Abstract

Epidemiologic data of malaria cases were correlated with satellite-based vegetation health (VH) indices to investigate if they can be used as proxy for monitoring malaria epidemics in Bangladesh. The VH indices were represented by the vegetation condition index (VCI) and the temperature condition index (TCI). The VCI and TCI estimate moisture and thermal conditions, respectively. Sensitivity of VCI and TCI was assessed using correlation and regression analysis. During cooler months (November-March) when mosquitoes are less active, the correlation was low. It increased considerably during the warm and wet season (April-October), reaching 0.7 for the TCI in early October and -0.66 for the VCI in mid September.

Entities:  

Mesh:

Year:  2006        PMID: 16407340

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  10 in total

1.  [In vitro antimalarial drug resistance in Southeastern Bangladesh].

Authors:  Bernhard Attlmayr; Kamala Thriemer; Rashidul Haque; Yukiko Wagatsuma; Mohammed Abdus Salam; Selim Akhter; Mark Fukuda; Kurt Schaecher; Robert Scott Miller; Harald Noedl
Journal:  Wien Klin Wochenschr       Date:  2006       Impact factor: 1.704

2.  Application of advanced very high resolution radiometer (AVHRR)-based vegetation health indices for estimation of malaria cases.

Authors:  Atiqur Rahman; Nir Krakauer; Leonid Roytman; Mitch Goldberg; Felix Kogan
Journal:  Am J Trop Med Hyg       Date:  2010-06       Impact factor: 2.345

3.  Comparative analysis on applicability of satellite and meteorological data for prediction of malaria in endemic area in bangladesh.

Authors:  Atiqur Rahman; Leonid Roytman; Mitch Goldberg; Felix Kogan
Journal:  J Trop Med       Date:  2011-01-12

4.  Malaria prevalence, risk factors and spatial distribution in a hilly forest area of Bangladesh.

Authors:  Ubydul Haque; Toshihiko Sunahara; Masahiro Hashizume; Timothy Shields; Taro Yamamoto; Rashidul Haque; Gregory E Glass
Journal:  PLoS One       Date:  2011-04-21       Impact factor: 3.240

5.  The role of climate variability in the spread of malaria in Bangladeshi highlands.

Authors:  Ubydul Haque; Masahiro Hashizume; Gregory E Glass; Ashraf M Dewan; Hans J Overgaard; Taro Yamamoto
Journal:  PLoS One       Date:  2010-12-16       Impact factor: 3.240

Review 6.  Applications of Space Technologies to Global Health: Scoping Review.

Authors:  Damien Dietrich; Ralitza Dekova; Stephan Davy; Guillaume Fahrni; Antoine Geissbühler
Journal:  J Med Internet Res       Date:  2018-06-27       Impact factor: 5.428

7.  Use of vegetation health data for estimation of aus rice yield in bangladesh.

Authors:  Atiqur Rahman; Leonid Roytman; Nir Y Krakauer; Mohammad Nizamuddin; Mitch Goldberg
Journal:  Sensors (Basel)       Date:  2009-04-23       Impact factor: 3.576

8.  Diversity of anopheline species and their Plasmodium infection status in rural Bandarban, Bangladesh.

Authors:  Mohammad Shafiul Alam; Sumit Chakma; Wasif A Khan; Gregory E Glass; Abu Naser Mohon; Rubayet Elahi; Laura C Norris; Milka Patracia Podder; Sabeena Ahmed; Rashidul Haque; David A Sack; David J Sullivan; Douglas E Norris
Journal:  Parasit Vectors       Date:  2012-07-27       Impact factor: 3.876

9.  A spatial agent-based model of Anopheles vagus for malaria epidemiology: examining the impact of vector control interventions.

Authors:  Md Zahangir Alam; S M Niaz Arifin; Hasan Mohammad Al-Amin; Mohammad Shafiul Alam; M Sohel Rahman
Journal:  Malar J       Date:  2017-10-27       Impact factor: 2.979

10.  Temporal Monitoring and Predicting of the Abundance of Malaria Vectors Using Time Series Analysis of Remote Sensing Data through Google Earth Engine.

Authors:  Fahimeh Youssefi; Mohammad Javad Valadan Zoej; Ahmad Ali Hanafi-Bojd; Alireza Borhani Dariane; Mehdi Khaki; Alireza Safdarinezhad; Ebrahim Ghaderpour
Journal:  Sensors (Basel)       Date:  2022-03-02       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.