Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33706501&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Geospat+Health 2021 ; 16 (1): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Role of transport network accessibility in the spread of COVID-19 - a case study in Savar Upazila, Bangladesh #MMPMID33706501
Mahmud KH; Hafsa B; Ahmed R
Geospat Health 2021[Mar]; 16 (1): ä PMID33706501show ga
The aim of this research was to test the hypothesis that people in a typical high-transport zone are particularly vulnerable with respect to transmission of coronavirus disease 2019 (COVID-19), a new contagious disease that has rapidly developed into a highrisk global problem. A case study was carried out in Savar Upazila, a sub-district of the capital city Dhaka in Bangladesh, which is traversed by a prominent national highway (Dhaka- Aricha-N5) that also passes the concentric industrial export processing zone surrounding Dhaka. This municipality is thus part of a high-density transport network with extensive economic activities. COVID-19 data were collected from local records at the Upazila Health Complex, while spatial data of the Savar Upazila, including the pertinent road network, were identified and digitized using geographical information systems software. The presence of COVID-19 in in Savar Upazila was found to be strongly associated with the reach and mechanism of transport networks (Pearson correlation = 0.76 with 99% confidence interval).