Table 3 Model-estimated worm breakpoint values for achieving the successful interruption of LF transmission in each of the study sites investigated. Breakpoints are listed in terms of % mf prevalence at three probabilities of elimination for two situations: 1) at the prevailing vector biting rates (i.e. at the observed ABRs); and 2) at the threshold biting rate (TBR) at or below which LF transmission process cannot sustain itself regardless of the level of the infection in human hosts (see text). The first set of the threshold values (at study-specific ABR) is used in modeling the impact of mass drug administration (MDA) alone, while the second set (mf breakpoint values estimated at TBR) is applied for modeling the impact when MDA is supplemented by vector control (VC)

Peneng

0.203816

0.111209

0.035429

2.54805

1.603205

0.435501

Albulum

0.041834

0.018397

0.004885

0.638664

0.268399

0.094346

Yauatong

0.025019

0.01043

0.002985

0.612255

0.271548

0.066789

Nanaha

0.383165

0.207235

0.066568

3.144555

2.278285

0.919664

Ngahmbule

0.314275

0.163155

0.058476

2.65292

1.727635

0.45293

Masaika

0.547213

0.25285

0.053393

2.973785

1.555073

0.451975

Tawalani

0.377915

0.215966

0.085207

2.86278

2.006245

1.07946

Jaribuni

0.454702

0.196513

0.077864

2.946105

2.15063

1.112716

Tingrela

0.334315

0.171191

0.042786

2.56515

1.532875

0.559656

Chiconi

0.223123

0.098382

0.033768

2.437125

1.568188

0.677308

Kingwede

0.209935

0.08889

0.022236

0.972591

0.455327

0.089295

Mao

0.189285

0.117818

0.019268

2.575155

1.828288

0.384838

Mambrui

0.49878

0.25427

0.075622

3.26316

2.33081

0.885393

Pondicherry

0.028824

0.005726

0.000476

0.536544

0.146736

0.041653

Calcutta

0.092718

0.043027

0.017295

1.46021

0.762273

0.178704

Vettavallam

0.077791

0.033227

0.002706

1.110415

0.613489

0.110904

Pakistan

0.267202

0.121281

0.034034

2.72511

1.811333

0.659793

Jakarta

0.032622

0.003889

0.000171

0.191162

0.098852

0.028576