Literature DB >> 32409767

Machine learning can help get COVID-19 aid to those who need it most.

Joshua Blumenstock.   

Abstract

Entities:  

Keywords:  Developing world; Government; Machine learning; Policy; Public health

Year:  2020        PMID： 32409767     DOI： 10.1038/d41586-020-01393-7

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  6 in total

1.  Cash transfers as a response to COVID-19: Experimental evidence from Kenya.

Authors:  Wyatt Brooks; Kevin Donovan; Terence R Johnson; Jackline Oluoch-Aridi
Journal:  J Dev Econ       Date:  2022-06-28

2.  Microestimates of wealth for all low- and middle-income countries.

Authors:  Guanghua Chi; Han Fang; Sourav Chatterjee; Joshua E Blumenstock
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-18       Impact factor: 11.205

Review 3.  AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems.

Authors:  Iqbal H Sarker
Journal:  SN Comput Sci       Date:  2022-02-10

4.  Geographic microtargeting of social assistance with high-resolution poverty maps.

Authors:  Isabella S Smythe; Joshua E Blumenstock
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

5.  Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework.

Authors:  Petr Hajek; Mohammad Zoynul Abedin; Uthayasankar Sivarajah
Journal:  Inf Syst Front       Date:  2022-10-14       Impact factor: 5.261

6.  Public mobility data enables COVID-19 forecasting and management at local and global scales.

Authors:  Cornelia Ilin; Sébastien Annan-Phan; Xiao Hui Tai; Shikhar Mehra; Solomon Hsiang; Joshua E Blumenstock
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379
  6 in total

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