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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2017 Jan 30;114(7):E1301–E1302. doi: 10.1073/pnas.1700746114

Correction for Caminade et al., Global risk model for vector-borne transmission of Zika virus reveals the role of El Niño 2015

PMCID: PMC5321037  PMID: 28137863

ENVIRONMENTAL SCIENCES Correction for “Global risk model for vector-borne transmission of Zika virus reveals the role of El Niño 2015,” by Cyril Caminade, Joanne Turner, Soeren Metelmann, Jenny C. Hesson, Marcus S. C. Blagrove, Tom Solomon, Andrew P. Morse, and Matthew Baylis, which appeared in issue 1, January 3, 2017, of Proc Natl Acad Sci USA (114:119–124; first published December 19, 2016; 10.1073/pnas.1614303114).

The authors note that Table 1 appeared incorrectly. The corrected table appears below.

Table 1.

R0 model parameter settings—an index of 1 denotes Ae. aegypti and an index of 2 denotes Ae. albopictus

Symbol Description Constant/formula Comments Refs.
*a1 Biting rates (per day) a1 = 0.0043T + 0.0943 The linear dependency to temperature was based on estimates for Ae. aegypti in Thailand; biting rates for Ae. albopictus were halved based on observed feeding interval data (18) 58, 59
*a2 a2 = 0.5 × a1
ɸ1 Vector preferences (0–1) ɸ1 = 1[0.88–1] Most studies show that Ae. aegypti mainly feeds on humans; Ae. albopictus can feed on other wild hosts (cats, dogs, swine…), and large differences are shown for feeding preference between urban and rural settings for this species 17, 54, 60–65
ɸ2 ɸ2 = 0.5[0.24–1]
b1 Transmission probability—vector to host (0–1) b1 = 0.5[0.1–0.75] Based on dengue parameters—estimates from a mathematical review study 66
b2 b2 = 0.5[0.1–0.75]
β1 Transmission probability—host to vector (0–1) β1 = 0.1 Recent laboratory experiment studies generally show low transmission efficiency (in saliva) for various vector/ZIKV strain combinations (South America and Africa); estimates from ref. 15 were used in the final model version 14–16
β2 β2 = 0.033
*μ1 Mortality rates (0–1 per day) μ1 = 1/(1.22 + exp(−3.05 + 0.72T)) + 0.196 if T < 22 °C Mortality rates were derived for both mosquito vectors from published estimates based on both laboratory and field data, and they were capped to range between 0 and 1 67
*μ2 μ1 = 1/(1.14 + exp(51.4–1.3T)) + 0.192 if T ≥ 22 °C
μ2 = 1/(1.1 + exp(−4.04 + 0.576T)) + 0.12 if T < 15 °C
μ2 = 0.000339T2 − 0.0189T + 0.336 if 15 °C ≤ T < 26.3 °C
μ2 = 1/(1.065 + exp(32.2–0.92T)) + 0.0747 if T ≥ 26.3 °C
*eip1 EIP (days) eip1 = 1/ν1 = 4 + exp(5.15–0.123T) EIPs for dengue were used because estimates for ZIKV were only available at a single temperature; 50% (100%) of Ae. aegypti mosquitoes were infected by ZIKV after 5 d (10 d) at 29 °C (7). An EIP longer than 7 d was reported in ref. 15 at similar temperature. Model estimates for dengue suggest eip1 ∼ 8–9 d at 29 °C. The 1.03 multiplying factor for Ae. albopictus was derived from ref. 67 68
*eip2 eip2 = 1/ν2 = 1.03(4 + exp(5.15–0.123T))
m1 Vector to host ratios m1 = 1,000 × prob1 m was derived as the product of a constant with probability of occurrences published at global scale for both mosquito vectors; Materials and Methods has additional details 51
m2 m2 = 1,000 × prob2
r Recovery rate (per day) r = 1/7 69

T, temperature.

*

Parameters that are dynamically simulated in space and time over the whole time period.


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