| 1 |
Soubeyrand_2020 |
The current COVID-19 wave will likely be mitigated in the second-line European countries |
Samuel Soubeyrand; Melina Ribaud; Virgile Baudrot; Denis Allard; Denys Pommeret; Lionel Roques |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2020.04.17.20069179 |
dh3cgd48 |
0.932581 |
Lim_T_2012 |
|
| 2 |
Rudnicki_2020 |
Estimate of Covid-19 prevalence using imperfect data |
Witold R Rudnicki; Radosław Piliszek |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.14.20064840 |
bbzmu37q |
0.931755 |
|
|
| 3 |
Park_2020 |
Potential roles of social distancing in mitigating the spread of coronavirus disease 2019 (COVID-19) in South Korea |
Sang Woo Park; Kaiyuan Sun; Cécile Viboud; Bryan T Grenfell; Jonathan Dushoff |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
|
10.1101/2020.03.27.20045815 |
7t3ci8tl |
0.914968 |
Wang_2014, Lim_T_2012 |
|
| 4 |
Dhenain_2020 |
ESTIMATION OF COVID-19 CASES IN FRANCE AND IN DIFFERENT COUNTRIES: HOMOGENEISATION BASED ON MORTALITY |
Marc Dhenain |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.07.20055913 |
rxkltaqy |
0.912943 |
Lim_T_2012, Pullano_2020, Pearson_2020, Georgiev_2009, Dutra_2020 |
|
| 5 |
Dutra_2020 |
Estimate of the Maximum Limit of Total Cases of Infected Patients COVID-19 |
Carlos Maximiliano Dutra; Carlos Augusto Riella de Melo |
2020 |
2020-04-15 |
BioRxiv |
Y |
|
|
10.1101/2020.04.10.20060822 |
zrgax3qa |
0.911429 |
|
|
| 6 |
Asteris_2020 |
A Novel Heuristic Global Algorithm to Predict the COVID-19 Pandemic Trend |
Panagiotis G. Asteris; Maria Douvika; Christina Karamani; Athanasia Skentou; Tryfon Daras; Liborio Cavaleri; Danial Jahed Armaghani; Katerina Chlichlia; Theoklis E. Zaoutis |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2020.04.16.20068445 |
v6on5gv9 |
0.871720 |
|
|
| 7 |
Brown_2020 |
Mortality from COVID-19 in 12 countries and 6 states of the United States |
Patrick Brown; Prabhat Jha |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2020.04.17.20069161 |
2r4uty9g |
0.852383 |
Lim_T_2012, Pearson_2020, Georgiev_2009, Pullano_2020 |
|
| 8 |
Lachmann_2020 |
Correcting under-reported COVID-19 case numbers |
Alexander Lachmann |
2020 |
2020-03-18 |
BioRxiv |
Y |
|
|
10.1101/2020.03.14.20036178 |
gttuxtw6 |
0.846483 |
Pai_M_2006 |
|
| 9 |
Fisman_2020 |
Standardization and Age-Distribution of COVID-19: Implications for Variability in Case Fatality and Outbreak Identification |
David Fisman; Amy Greer; Ashleigh Tuite |
2020 |
2020-04-14 |
BioRxiv |
Y |
|
|
10.1101/2020.04.09.20059832 |
63hs1loe |
0.830443 |
Lim_T_2012, Wu_Z_2013, de_Zwart_2007, Yang_2011 |
|
| 10 |
Qi_R_2020 |
Case fatality rate of novel coronavirus disease 2019 in China |
Rui Qi; Chao Ye; Xiang-rong Qin; Xue-Jie Yu |
2020 |
2020-02-26 |
BioRxiv |
Y |
|
|
10.1101/2020.02.26.20028076 |
hk491mr6 |
0.822804 |
Pearson_2020 |
|
| 11 |
Riou_2020 |
Adjusted age-specific case fatality ratio during the COVID-19 epidemic in Hubei, China, January and February 2020 |
Julien Riou; Anthony Hauser; Michel J Counotte; Christian L Althaus |
2020 |
2020-03-06 |
BioRxiv |
Y |
|
|
10.1101/2020.03.04.20031104 |
mrsya6wz |
0.821865 |
Win_K_2011, Lim_T_2012, Wang_2014 |
|
| 12 |
Pike_2020 |
An international comparison of the second derivative of COVID-19 deaths after implementation of social distancing measures |
William Thomas Pike; Vikas Saini |
2020 |
2020-03-25 |
BioRxiv |
Y |
|
|
10.1101/2020.03.25.20041475 |
ln26bux8 |
0.803219 |
|
|
| 13 |
Verelst_2020 |
Indications for healthcare surge capacity in European countries facing an exponential increase in COVID19 cases |
Frederik Verelst; Elise J. Kuylen; Philippe Beutels |
2020 |
2020-03-17 |
BioRxiv |
Y |
|
|
10.1101/2020.03.14.20035980 |
jmc9yhr0 |
0.802596 |
Lim_T_2012, Georgiev_2009 |
|
| 14 |
Dudel_2020 |
Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality |
Christian Dudel; Tim Riffe; Enrique Acosta; Alyson A. van Raalte; Mikko Myrskyla |
2020 |
2020-04-02 |
BioRxiv |
Y |
|
|
10.1101/2020.03.31.20048397 |
6ub9yh27 |
0.796456 |
Win_K_2011, Lim_T_2012, Kulu_2020, Wu_Z_2013, Galvani_2003 |
Fisman_2020, Dhenain_2020, Dowd_2020 |
| 15 |
Bignami_2020 |
A demographic adjustment to improve measurement of COVID-19 severity at the developing stage of the pandemic |
Simona Bignami; Daniela Ghio |
2020 |
2020-03-27 |
BioRxiv |
Y |
|
|
10.1101/2020.03.23.20040998 |
tydj4705 |
0.769213 |
|
|
| 16 |
Potluri_2020 |
Making sense of the Global Coronavirus Data: The role of testing rates in understanding the pandemic and our exit strategy |
Rahul Potluri; Deepthi Lavu |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.06.20054239 |
1kxxg0s9 |
0.758906 |
|
|
| 17 |
BOELLE_2020 |
Excess cases of Influenza like illnesses in France synchronous with COVID19 invasion. |
Pierre-Yves BOELLE |
2020 |
2020-03-17 |
BioRxiv |
Y |
|
|
10.1101/2020.03.14.20035741 |
ba3we97o |
0.757209 |
|
|
| 18 |
Medfod_2020 |
Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages |
Anthony Medfod; Sergi Trias-Llimos |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.09.20056341 |
lkbwxo41 |
0.750747 |
|
Dowd_2020 |
| 19 |
Bulut_2020 |
New Epidemiological Model Suggestions Revealing Size of Epidemics Based on the COVID-19 Pandemic Example: Wavelength Models |
Tevfik Bulut |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.07.20056432 |
3mmo1x2n |
0.734599 |
Lim_T_2012, Dutra_2020 |
|
| 20 |
Liao_2020 |
A Tempo-geographic Analysis of Global COVID-19 Epidemic Outside of China |
Huipeng Liao; Gifty Marley; Yafei Si; Zaisheng Wang; Yewei Xie; Cheng Wang; Weiming Tang |
2020 |
2020-03-23 |
BioRxiv |
Y |
|
|
10.1101/2020.03.20.20039602 |
fb0nwixw |
0.696702 |
Lim_T_2012 |
|
| 21 |
Khafaie_2020 |
Cross-Country Comparison of Case Fatality Rates of COVID-19/SARS-COV-2 |
Khafaie, Morteza Abdullatif; Rahim, Fakher |
2020 |
2020-04-23 |
NONCOMM |
Y |
PMC7104689 |
|
10.24171/j.phrp.2020.11.2.03 |
het5173i |
0.665409 |
Lim_T_2012 |
|
| 22 |
Dahal_2020 |
Investigating spatial variability in COVID-19 pandemic severity across 19 geographic areas, Spain, 2020 |
Sushma Dahal; Kenji Mizumoto; Gerardo Chowell |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.14.20065524 |
8l2ed3vq |
0.653754 |
Lim_T_2012, Yang_2011 |
|
| 23 |
Mizumoto_2020 |
Spatial variability in the risk of death from COVID-19 in Italy, 2020 |
Kenji Mizumoto; Sushma Dahal; Gerardo Chowell |
2020 |
2020-04-03 |
BioRxiv |
Y |
|
|
10.1101/2020.04.01.20049668 |
z74pb4r2 |
0.648166 |
Lim_T_2012 |
|
| 24 |
O'Brien_2014 |
Foodborne Diseases: Prevalence of Foodborne Diseases in Europe |
O'Brien, S.J. |
2014 |
2014-12-31 |
PMC |
N |
|
|
10.1016/b978-0-12-378612-8.00077-9 |
7vnd2r1x |
0.634976 |
Pai_M_2006 |
|
| 25 |
Dowd_2020 |
Demographic science aids in understanding the spread and fatality rates of COVID-19 |
Jennifer Beam Dowd; Valentina Rotondi; Liliana Adriano; David M Brazel; Per Block; Xuejie Ding; Yan Liu; Melinda C Mills |
2020 |
2020-03-18 |
BioRxiv |
Y |
|
|
10.1101/2020.03.15.20036293 |
gv8wlo06 |
0.634787 |
|
|
| 26 |
Sherpa_2020 |
Estimating Impact of Austerity policies in COVID-19 fatality rates:Examining the dynamics of economic policy and Case Fatality Rates (CFR) of COVID-19 in OCED countries |
Dawa Sherpa |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.03.20047530 |
tm3loeir |
0.634340 |
|
Pike_2020, de_Figueiredo_2020 |
| 27 |
Goli_2020 |
How much of SARS-CoV-2 Infections is India detecting? A model-based estimation |
Srinivas Goli; K.S. James |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.09.20059014 |
c9bp9euw |
0.627353 |
Lim_T_2012, Pai_M_2006, Win_K_2011 |
|
| 28 |
Spiteri_2020 |
First cases of coronavirus disease 2019 (COVID-19) in the WHO European Region, 24 January to 21 February 2020 |
Spiteri, Gianfranco; Fielding, James; Diercke, Michaela; Campese, Christine; Enouf, Vincent; Gaymard, Alexandre; Bella, Antonino; Sognamiglio, Paola; Sierra Moros, Maria José; Riutort, Antonio Nicolau; Demina, Yulia V.; Mahieu, Romain; Broas, Markku; Bengnér, Malin; Buda, Silke; Schilling, Julia; Filleul, Laurent; Lepoutre, Agnès; Saura, Christine; Mailles, Alexandra; Levy-Bruhl, Daniel; Coignard, Bruno; Bernard-Stoecklin, Sibylle; Behillil, Sylvie; van der Werf, Sylvie; Valette, Martine; Lina, Bruno; Riccardo, Flavia; Nicastri, Emanuele; Casas, Inmaculada; Larrauri, Amparo; Salom Castell, Magdalena; Pozo, Francisco; Maksyutov, Rinat A.; Martin, Charlotte; Van Ranst, Marc; Bossuyt, Nathalie; Siira, Lotta; Sane, Jussi; Tegmark-Wisell, Karin; Palmérus, Maria; Broberg, Eeva K.; Beauté, Julien; Jorgensen, Pernille; Bundle, Nick; Pereyaslov, Dmitriy; Adlhoch, Cornelia; Pukkila, Jukka; Pebody, Richard; Olsen, Sonja; Ciancio, Bruno Christian |
2020 |
2020-03-05 |
COMM-USE |
Y |
PMC7068164 |
32156327.0 |
10.2807/1560-7917.es.2020.25.9.2000178 |
ivwn4nhl |
0.624507 |
Lim_T_2012, Pearson_2020, Georgiev_2009 |
|
| 29 |
Shojaee_2020 |
Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study |
Shojaee, Sajad; Pourhoseingholi, Mohamad Amin; Ashtari, Sara; Vahedian-Azimi, Amir; Asadzadeh-Aghdaei, Hamid; Zali, Mohammad Reza |
2020 |
2020-01-01 |
COMM-USE |
N |
PMC7149809 |
|
|
qdoseeyv |
0.619015 |
Lim_T_2012 |
|
| 30 |
Soneji_2020 |
Population-Level Mortality Rates from Novel Coronavirus (COVID-19) in South Korea |
Samir Soneji; Hiram Beltrán-Sánchez; JaeWon Yang; Caroline Mann |
2020 |
2020-03-27 |
BioRxiv |
Y |
|
|
10.1101/2020.03.23.20041814 |
lizwiate |
0.605553 |
Lim_T_2012, Lee_Y_2016, Win_K_2011 |
|
| 31 |
Effenberger_2020 |
Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis |
Effenberger, Maria; Kronbichler, Andreas; Shin, Jae Il; Mayer, Gert; Tilg, Herbert; Perco, Paul |
2020 |
2020-04-17 |
PMC |
Y |
|
|
10.1016/j.ijid.2020.04.033 |
z0m6uuzf |
0.594447 |
|
|
| 32 |
Wetzler_2020 |
Covid-19 excess deaths in the United States through July 2020 |
Harry P Wetzler; Erica A Wetzler |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.02.20051532 |
efarquxn |
0.579766 |
Pearson_2020, Lee_Y_2016, Mavalankar_2008 |
Miller_2020, Lachmann_2020 |
| 33 |
Bignami_2020 |
Estimates of COVID-19 case-fatality risk from individual-level data |
Simona Bignami; Daniela Ghio; Ari Van Assche |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2020.04.16.20067751 |
fgjhli0p |
0.569012 |
Rudnicki_2020 |
|
| 34 |
Velavan_2020 |
The COVID‐19 epidemic |
Velavan, Thirumalaisamy P.; Meyer, Christian G. |
2020 |
2020-02-16 |
PMC |
Y |
PMC7169770 |
32052514.0 |
10.1111/tmi.13383 |
e4hmo4yc |
0.555560 |
Lim_T_2012, Georgiev_2009 |
|
| 35 |
Alipio_2020 |
Epidemiological characteristics of an outbreak of Coronavirus Disease 2019 in the Philippines |
Mark Marcos Alipio; Joseph Dave Mendoza Pregoner |
2020 |
2020-04-16 |
BioRxiv |
N |
|
|
10.1101/2020.04.12.20053926 |
b3r3yyjd |
0.530122 |
Lim_T_2012, Georgiev_2009, Wang_2014 |
|
| 36 |
Tanaka_2020 |
Estimation of true number of COVID-19 infected people in Japan using LINE questionnaire |
Shin-ichiro Tanaka; Shinya Oku |
2020 |
2020-04-20 |
BioRxiv |
Y |
|
|
10.1101/2020.04.15.20066100 |
d3lsgatj |
0.528666 |
Pearson_2020 |
|
| 37 |
Neher_2020 |
Potential impact of seasonal forcing on a SARS-CoV-2 pandemic |
Richard A Neher; Robert Dyrdak; Valentin Druelle; Emma B Hodcroft; Jan Albert |
2020 |
2020-02-17 |
BioRxiv |
Y |
|
|
10.1101/2020.02.13.20022806 |
3p2dl8yf |
0.509629 |
|
|
| 38 |
Dayal_2020 |
Connecting BCG Vaccination and COVID-19: Additional Data |
Devi Dayal; Saniya Gupta |
2020 |
2020-04-08 |
BioRxiv |
Y |
|
|
10.1101/2020.04.07.20053272 |
by4aefjc |
0.508642 |
|
Miller_2020, Goswami_2020 |
| 39 |
Lai_C_2020 |
Global epidemiology of coronavirus disease 2019 (COVID-19): disease incidence, daily cumulative index, mortality, and their association with country healthcare resources and economic status |
Lai, Chih-Cheng; Wang, Cheng-Yi; Wang, Ya-Hui; Hsueh, Shun-Chung; Ko, Wen-Chien; Hsueh, Po-Ren |
2020 |
2020-04-30 |
PMC |
Y |
|
32199877.0 |
10.1016/j.ijantimicag.2020.105946 |
lsrqko6p |
0.502974 |
Lim_T_2012, Georgiev_2009, Pearson_2020, Pullano_2020 |
|
| 40 |
Amariles_2020 |
COVID-19 in Colombia endpoints. Are we different, like Europe? |
Amariles, Pedro; Granados, Johan; Ceballos, Mauricio; Montoya, Carlos Julio |
2020 |
2020-03-31 |
PMC |
Y |
|
|
10.1016/j.sapharm.2020.03.013 |
lgqseo8t |
0.488523 |
Lim_T_2012, Wu_Z_2013, Wang_2014, Pearson_2020, Pai_M_2006 |
|
| 41 |
Rodrigues_2020 |
REGIONAL DETERMINANTS OF THE EXPANSION OF COVID-19 IN BRAZIL |
Waldecy Rodrigues; David Nadler Prata; Wainesten Camargo |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.13.20063925 |
epa6m6nq |
0.487818 |
|
|
| 42 |
O’Reilly_2018 |
Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis |
Kathleen M O’Reilly; Rachel Lowe; W John Edmunds; Philippe Mayaud; Adam Kucharski; Rosalind M Eggo; Sebastian Funk; Deepit Bhatia; Kamran Khan; Moritz U Kraemar; Annelies Wilder-Smith; Laura C Rodrigues; Patricia Brasil; Eduardo Massad; Thomas Jaenisch; Simon Cauchemez; Oliver J Brady; Laith Yakob |
2018 |
2018-05-18 |
BioRxiv |
N |
|
|
10.1101/323915 |
58y8mg8m |
0.485516 |
Lim_T_2012, Wang_2014 |
Alkhamis_2018 |
| 43 |
Routledge_2018 |
Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting |
Routledge, Isobel; Chevéz, José Eduardo Romero; Cucunubá, Zulma M.; Rodriguez, Manuel Gomez; Guinovart, Caterina; Gustafson, Kyle B.; Schneider, Kammerle; Walker, Patrick G.T.; Ghani, Azra C.; Bhatt, Samir |
2018 |
2018-06-26 |
None |
N |
PMC6018772 |
29946060.0 |
10.1038/s41467-018-04577-y |
rc0zhw5h |
0.465238 |
|
Routledge_2019 |
| 44 |
Shet_2020 |
Differential COVID-19-attributable mortality and BCG vaccine use in countries |
Anita Shet; Debashree Ray; Neelika Malavige; Mathuram Santosham; Naor Bar-Zeev |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.01.20049478 |
1n96pz86 |
0.438892 |
Wu_Z_2013 |
Miller_2020, Hensel_2020, Sala_2020 |
| 45 |
Pearson_2020 |
Projected early spread of COVID-19 in Africa |
Carl Andrew Pearson; Cari Van Schalkwyk; Anna M Foss; Kathleen M O'Reilly; Juliet R C Pulliam |
2020 |
2020-04-10 |
BioRxiv |
Y |
|
|
10.1101/2020.04.05.20054403 |
zl1t896w |
0.431998 |
Lee_Y_2016 |
BOELLE_2020 |
| 46 |
Bannister-Tyrrell_2020 |
Preliminary evidence that higher temperatures are associated with lower incidence of COVID-19, for cases reported globally up to 29th February 2020 |
Melanie Bannister-Tyrrell; Anne Meyer; Celine Faverjon; Angus Cameron |
2020 |
2020-03-20 |
BioRxiv |
Y |
|
|
10.1101/2020.03.18.20036731 |
drzphrqj |
0.427898 |
|
Triplett_2020, Ficetola_2020 |
| 47 |
Liu_Q_2020 |
Assessing the Global Tendency of COVID-19 Outbreak |
Qinghe Liu; Zhicheng Liu; Junkai Zhu; Yuhao Zhu; Deqiang Li; Zefei Gao; Liuling Zhou; Junyan Yang; Qiao Wang |
2020 |
2020-03-20 |
BioRxiv |
Y |
|
|
10.1101/2020.03.18.20038224 |
adcptyfj |
0.421608 |
Lim_T_2012, Georgiev_2009, Wang_2014, Pirie_2006 |
|
| 48 |
Craig_2020 |
Risk of COVID-19 importation to the Pacific islands through global air travel |
Craig, A. T.; Heywood, A. E.; Hall, J. |
2020 |
2020-03-23 |
COMM-USE |
Y |
PMC7113321 |
32202489.0 |
10.1017/s0950268820000710 |
nwl95ysz |
0.419779 |
Lim_T_2012, Wang_2014, Georgiev_2009 |
|
| 49 |
Triplett_2020 |
Evidence that higher temperatures are associated with lower incidence of COVID-19 in pandemic state, cumulative cases reported up to March 27, 2020 |
Michael Triplett |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.02.20051524 |
g26to20g |
0.406349 |
Ficetola_2020, Galvani_2003 |
Bannister-Tyrrell_2020, Ficetola_2020 |
| 50 |
Mehta_2020 |
Early Stage Prediction of US County Vulnerability to the COVID-19 Pandemic |
Mihir Mehta; Juxihong Julaiti; Paul Griffin; Soundar Kumara |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.06.20055285 |
901ghexi |
0.403983 |
|
|
| 51 |
Modi_2020 |
Total COVID-19 Mortality in Italy: Excess Mortality and Age Dependence through Time-Series Analysis |
Chirag Modi; Vanessa Boehm; Simone Ferraro; George Stein; Uros Seljak |
2020 |
2020-04-20 |
BioRxiv |
Y |
|
|
10.1101/2020.04.15.20067074 |
vg96f35h |
0.388823 |
Pearson_2020, Win_K_2011, Lim_T_2012 |
|
| 52 |
Desjardins_2020 |
Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters |
Desjardins, M.R.; Hohl, A.; Delmelle, E.M. |
2020 |
2020-05-31 |
PMC |
Y |
|
|
10.1016/j.apgeog.2020.102202 |
y691hark |
0.387409 |
|
|
| 53 |
Miller_2020 |
Mapping the Burden of COVID-19 in the United States |
Ian F Miller; Alexander D Becker; Bryan T Grenfell; C. Jessica E Metcalf |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.05.20054700 |
n5gykapg |
0.382239 |
|
|
| 54 |
Kinfu_2020 |
COVID-19 pandemic in the African continent: forecasts of cumulative cases, new infections, and mortality |
Yohannes Kinfu; Uzma Alam; Tom Achoki |
2020 |
2020-04-14 |
BioRxiv |
Y |
|
|
10.1101/2020.04.09.20059154 |
atee6lis |
0.379583 |
Lim_T_2012, Pearson_2020, Wu_Z_2013 |
|
| 55 |
Zhang_2020 |
Comparison of the spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China |
Xi Zhang; Hua-Xiang Rao; Yuwan Wu; Yubei Huang; Hongji Dai |
2020 |
2020-03-26 |
BioRxiv |
Y |
|
|
10.1101/2020.03.23.20034058 |
brwmpm5a |
0.375786 |
Lim_T_2012, Georgiev_2009, Wang_2014 |
|
| 56 |
Ogen_2020 |
Assessing nitrogen dioxide (NO2) levels as a contributing factor to coronavirus (COVID-19) fatality |
Ogen, Yaron |
2020 |
2020-07-15 |
PMC |
Y |
|
|
10.1016/j.scitotenv.2020.138605 |
u4doukk7 |
0.369331 |
|
|
| 57 |
Skrip_2020 |
Seeding COVID-19 across sub-Saharan Africa: an analysis of reported importation events across 40 countries |
Laura A Skrip; Prashanth Selvaraj; Brittany Hagedorn; Andre Lin Ouédraogo; Navideh Noori; Dina Mistry; Jamie Bedson; Laurent Hébert-Dufresne; Samuel V Scarpino; Benjamin Muir Althouse |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.01.20050203 |
vtuljhcp |
0.358702 |
|
|
| 58 |
Pullano_2020 |
Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020 |
Pullano, Giulia; Pinotti, Francesco; Valdano, Eugenio; Boëlle, Pierre-Yves; Poletto, Chiara; Colizza, Vittoria |
2020 |
2020-01-30 |
COMM-USE |
Y |
PMC7001240 |
32019667.0 |
10.2807/1560-7917.es.2020.25.4.2000057 |
332ey2v1 |
0.347112 |
Lim_T_2012, Georgiev_2009, Wang_2014 |
|
| 59 |
Clark_2020 |
How many are at increased risk of severe COVID-19 disease? Rapid global, regional and national estimates for 2020 |
Andrew Clark; Mark Jit; Charlotte Warren-Gash; Bruce Guthrie; Harry HX Wang; Stewart W Mercer; Colin Sanderson; Martin McKee; Christopher Troeger; Kanyin I Ong; Francesco Checchi; Pablo Perel; Sarah Joseph; Hamish P Gibbs; Amitava Banerjee; Rosalind M Eggo |
2020 |
2020-04-22 |
BioRxiv |
Y |
|
|
10.1101/2020.04.18.20064774 |
czuq8rw5 |
0.345566 |
Tan_W_2008, Wu_Z_2013, Mphande_2016 |
|
| 60 |
Akiyama_2020 |
Relationship between COVID-19 death toll doubling time and national BCG vaccination policy |
Yutaka Akiyama; Takashi Ishida |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.06.20055251 |
4m9ngo8g |
0.337373 |
Win_K_2011, Pearson_2020 |
|
| 61 |
Islam_2020 |
Modeling risk of infectious diseases: a case of Coronavirus outbreak in four countries |
Md. Mazharul Islam; Md. Monirul Islam; Md. Jamal Hossain; Faroque Ahmed |
2020 |
2020-04-06 |
BioRxiv |
Y |
|
|
10.1101/2020.04.01.20049973 |
ca4c6b8a |
0.333454 |
Lim_T_2012, Wang_2014, Georgiev_2009 |
|
| 62 |
Cai_H_2020 |
Sex difference and smoking predisposition in patients with COVID-19 |
Cai, Hua |
2020 |
2020-04-30 |
PMC |
Y |
PMC7103991 |
32171067.0 |
10.1016/s2213-2600(20)30117-x |
v9h4rlln |
0.324486 |
Pearson_2020, Win_K_2011 |
|
| 63 |
Zahran_2020 |
The Longevity-Frailty Hypothesis: Evidence from COVID-19 Death Rates in Europe |
Sammy Zahran; Levi Altringer; Ashok Prasad |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.14.20065540 |
9p0dsyqx |
0.321353 |
Dowd_2020, Kulu_2020 |
|
| 64 |
Singh_2020 |
BCG VACCINES MAY NOT REDUCE COVID-19 MORTALITY RATES |
Samer Singh |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.11.20062232 |
x8v23r0g |
0.315876 |
Win_K_2011, Pearson_2020 |
|
| 65 |
Yuan_2020 |
Trends and prediction in daily incidence and deaths of COVID-19 in the United States: a search-interest based model |
Xiaoling Yuan; Jie Xu; Sabiha Hussain; He Wang; Nan Gao; Lanjing Zhang |
2020 |
2020-04-20 |
BioRxiv |
Y |
|
|
10.1101/2020.04.15.20064485 |
zzmfhr2s |
0.308369 |
Pearson_2020 |
|