bibliography.bib

@article{deeplandscape,
  author    = {Nabeel Abdur Rehman and
               Umar Saif and
               Rumi Chunara},
  title     = {Deep Landscape Features for Improving Vector-borne Disease Prediction},
  journal   = {CoRR},
  volume    = {abs/1904.01994},
  year      = {2019},
  url       = {http://arxiv.org/abs/1904.01994},
  archivePrefix = {arXiv},
  eprint    = {1904.01994},
  timestamp = {Wed, 24 Apr 2019 12:21:25 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1904-01994.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{dengue,
	title={A global model for predicting the arrival of imported dengue infections},
	author={J. Liebig and C. Jansen and D. Paini and L. Gardner and Raja Jurdak},
	journal={PLoS ONE},
	year={2019},
	volume={14}
}

@article{ModelingDV,
	title={Modeling Dengue Vector Population Using Remotely Sensed Data and Machine Learning},
	author={Juan M. Scavuzzo and Francisco Trucco and Manuel Espinosa and Carolina B. Tauro and M. Abril and C. Scavuzzo and A. Frery},
	journal={Acta tropica},
	year={2018},
	volume={185},
	pages={
	167-175
	}
}

@article{doublepunch,
	author = {Harapan, Harapan and Ryan, Mirza and Yohan, Benediktus and Abidin, Rufika Shari and Nainu, Firzan and Rakib, Ahmed and Jahan, Israt and Emran, Talha Bin and Ullah, Irfan and Panta, Kritu and Dhama, Kuldeep and Sasmono, R. Tedjo},
	title = {Covid-19 and dengue: Double punches for dengue-endemic countries in Asia},
	journal = {Reviews in Medical Virology},
	volume = {n/a},
	number = {n/a},
	pages = {e2161},
	keywords = {ADE, Covid-19, cross-reactivity, dengue, SARS-CoV-2},
	doi = {10.1002/rmv.2161},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rmv.2161},
	eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/rmv.2161},
	abstract = {Summary The coronavirus disease 2019 (Covid-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an international public health crisis with devastating effects. In particular, this pandemic has further exacerbated the burden in tropical and subtropical regions of the world, where dengue fever, caused by dengue virus (DENV), is already endemic to the population. The similar clinical manifestations shared by Covid-19 and dengue fever have raised concerns, especially in dengue-endemic countries with limited resources, leading to diagnostic challenges. In addition, cross-reactivity of the immune responses in these infections is an emerging concern, as pre-existing DENV-antibodies might potentially affect Covid-19 through antibody-dependent enhancement. In this review article, we aimed to raise the issue of Covid-19 and dengue fever misdiagnosis, not only in a clinical setting but also with regards to cross-reactivity between SARS-CoV-2 and DENV antibodies. We also have discussed the potential consequences of overlapping immunological cascades between dengue and Covid-19 on disease severity and vaccine development.}
}

@article{twitter,
	author    = {Paolo Missier and
	Alexander B. Romanovsky and
	Tudor Miu and
	Atinder Pal and
	Michael Daniilakis and
	Alessandro F. Garcia and
	Diego Cedrim and
	Leonardo da Silva Sousa},
	title     = {Tracking Dengue Epidemics using Twitter Content Classification and
	Topic Modelling},
	journal   = {CoRR},
	volume    = {abs/1605.00968},
	year      = {2016},
	url       = {http://arxiv.org/abs/1605.00968},
	archivePrefix = {arXiv},
	eprint    = {1605.00968},
	timestamp = {Mon, 13 Aug 2018 16:48:19 +0200},
	biburl    = {https://dblp.org/rec/journals/corr/MissierRMPDGCS16.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{agent,
	title={Evaluation of Zika Vector Control Strategies Using Agent-Based Modeling},
	author={Chathika Gunaratne and M. Akbas and Ivan I. Garibay and Ozlem O. Garibay},
	journal={ArXiv},
	year={2016},
	volume={abs/1604.06121}
}