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Table 1 Values, descriptions and sources of the parameters driving the base metapopulation model of transmission (\(i =\lbrace TC; MB; UJ; NK; BB; MP\rbrace\))

From: Predicting the impact of border control on malaria transmission: a simulated focal screen and treat campaign

Parameter

Description

Value

Source

N

Population size for the six patches

\(2.5 \ \times 10^6\)

[58, 59]

\(\mu\)

Mortality/birth rate

\(\frac{105}{10{,}000}\)

[60]

\(\sigma\)

Period between liver stage and onset of gametocytemia

2 weeks

[61–64]

r

Artemether Lumefantrine elimination half-life

6 days

[65]

\(\tau\)

Time to seek treatment

1/2 weeks

Expert opinion

ptf

Probability of treatment failure

0.01

[51]

p

Proportion of local infected population receiving treatment

0.95

[66, 67]

\(pf_{yr}\)

Proportion of foreign infected population that receive treatment in a local patch

\(pf_1 = 0.5851 \ (0.5850, 0.5853)\) (pre April 2005) \(pf_2= 0.7000 \ (0.6998, 0.7010)\) (post April 2005)

Estimated from model fitting process

\(i_1\)

Duration of clinical infection before becoming asymptomatic

0.7 weeks

[33]

\(i_2\)

Duration of asymptomatic infection before becoming sub-patent

5.5 weeks

[33, 68]

\(i_3\)

Duration of sub-patent infection

24 weeks

[33]

\(\rho\)

Duration of clinical immunity

5 years

[69]

\(pc_1\)

Probability of clinical infection from naive individuals

0. 9997 (0.9756, 0.9999)

[63, 70]

\(pc_2\)

Probability of clinical infection from partially immune individuals

0.883 (0.877, 0.888)

Estimated from data

\(seas_i\)

Seasonal forcing function for foreign sourced cases

Derived from data

[10]

\(\beta _i\)

Annual number of mosquito bites per person × proportion of bites testing positive for sporozoites for patch i

\(\beta _{TC} = 4.488 \ (4.178, 4.798)\) \(\beta _{MB} = 6.034 \ (5.967, 6.101)\) \(\beta _{UJ} = 0.655 \ (0.589, 0.723)\) \(\beta _{NK} = 1.546 \ (1.521, 1.571)\) \(\beta _{BB} = 4.436 \ (4.264, 4.609)\) \(\beta _{MP} = 99.065 \ (98.920, 99.210)\)

Estimated from model fitting process

\(\lambda _i(t)\)

Force of infection

See Additional file 1

 

\(\frac{1}{\alpha }\)

Rate of assimilation of population in sub-patch 2 (locals having returned from foreign travel) back into sub-patch 1 from whence they originated

1.5 week−1

Expert opinion

\(\frac{1}{k}\)

Rate of movement between five Mpumalanga municipalities

1/ 201.436 (1/204.833, 1/198.040) week−1

Estimated from model fitting process

\(\frac{1}{v_{yr}}\)

Maputo residents: rate of movement between Maputo and five Mpumalanga municipalities

\(\frac{1}{v_1}= 1/7{,}616.743\) week−1 \((1/7{,}663.186, 1/7{,}570.299)\) (pre April 2005) \(\frac{1}{v_2}= 1/3{,}227.213\) week−1 \((1/3{,}187.684, 1/3{,}266.742)\) (post April 2005)

Estimated from model fitting process

\(\frac{1}{\varpi _{i,j}}\)

Maputo residents: rate of movement between Maputo and 5 Mpumalanga municipalities based on \(\frac{1}{v_{yr}}\) and distance between patches

See Additional file 1

 

\(\frac{1}{z}\)

Mpumalanga residents: rate of movement between 5 Mpumalanga municipalities and Maputo

\(\frac{1}{z}= 1/359.462\) week−1 (1/361.057, 1/357.866)

Estimated from model fitting process

\(\frac{1}{\zeta _{i,j}}\)

Mpumalanga residents: rate of movement between 5 Mpumalanga municipalities and Maputo based on \(\frac{1}{z}\) and distance between patches

See Additional file 1

 

fwgt

Foreign movement weight intensity

10.615 (10.512, 10.719)

Estimated from model fitting process

lwgt

Local movement weight intensity

1.419 (1.343, 1.495)

Estimated from model fitting process

vef

Effectiveness of vector control

0.9785 (0.9783, 0.9787)

Estimated from model fitting process

\(vc_i[t]\)

Vector control coverage in patch i \(\times\) efficiency

Derived from data

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