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Table 1 Demographic characteristics of imported malaria cases in China, 2013–2017

From: Imported malaria cases in former endemic and non-malaria endemic areas in China: are there differences in case profile and time to response?

Demographic Characteristics Number of cases reported P value
Former malaria endemic areas Non malaria endemic areas
Number Proportion (%) Number Proportion (%)
Total Cases 16 090   643   
Age      0.8
 <  5 years 62 <  1 0 0  
 5–18 years 240 1 6 1
 19–59 years 15 569 97 623 97
 ≥ 60 years 219 1 12 2
Gender      0.2
 Male 15 172 94 598 93  
 Female 918 6 45 7  
Occupation      <  0.001
 Outdoor workersa 12 370 80 180 29  
 Indoor workersb 1613 10 246 39
 Unclearc 1532 10 197 32
 Missingd 575 20  
Destination of overseas travel      < 0.001
 Africa 12 436 80 475 94  
 Southeast Asia/South Asia 3011 19 16 3
 South America 24 0 0 0
 Oceania 137 1 15 3
 Other: West/East Asia 4 0 0 0
 Missingd 478 137
Plasmodium species      < 0.001
P. vivax 3928 24 64 10  
P. falciparum 10 278 64 481 75
P. malariae 300 2 11 2
P. ovale 1297 8 16 2
P. falciparum + P. ovale 105 1 1 0
P. falciparum + P. vivax 146 1 3 0
 Undiagnosed/missing 36 0 67 10
Fatal outcome
 Death reported 76 0 14 2
  1. -: Not applicable
  2. aOutdoor workers: persons whose activity is mostly conducted outside. This includes Architectural engineers, Construction workers, Farmers, Fishermen, Overseas migrant worker (Expatriate Chinese nationals), Open mine workers, Sailors/Truck drivers, Field engineers, Herdsmen, Militaries/Soldiers, etc.
  3. bIndoor workers: work mostly indoor, including: Businessmen, Caterers, Interpreters, Medical staff, Office workers, Teachers, Actors, Flight attendants, Baby-sitters, Middlemen, Cooks, Diplomats, Financial staff, Journalists, Underground mine workers, Prisoners (although not a “worker” per se, a prisoner is officially classified as an indoor worker since his/her time is spent indoor), Researchers, Waiters, etc.
  4. cUnclear: the risk exposure cannot clearly be estimated. Children, Retirees, self-employees, Students, Unemployed people, Sportsmen and Sportswomen, Tourists, etc.
  5. dmissing data were not included into statistical analysis