| Literature DB >> 29488463 |
Xuan Zhang1, Linong Yao1, Jimin Sun1, Jinren Pan1, Hualiang Chen1, Lingling Zhang1, Wei Ruan1.
Abstract
To study the epidemiological distribution and the incident trends of imported malaria from 2012 to 2016 in Zhejiang Province, southeastern China, we collected data on malaria from the Information System for Parasitic Disease Control and Prevention. A total of 1,003 malaria cases were reported during 2012-2016, and all of these cases were imported. Plasmodium falciparum was the predominant species (76.3%) in Zhejiang Province. The percentage of Plasmodium vivax decreased from 33.6% to 8.1%, whereas the percentage of Plasmodium ovale and Plasmodium malariae increased. Most cases were male (89.8%), mostly in the age group of 21-50 years (82.6%). Businessmen (33.0%), workers (21.0%), farmers (18.8%), and overseas laborers (11.7%) were at high risk. The origin of the largest number of imported cases was Africa (89.5%), followed by Asia (10.0%) and Oceania (0.5%). The time interval from illness onset to confirmation was found to be significantly associated with the complications of patients. Out of 3,461 febrile individuals tested during reactive case detection, 10 malaria-positive individuals were identified. Effective surveillance and response system should be strengthened to prevent the reintroduction of malaria.Entities:
Mesh:
Year: 2018 PMID: 29488463 PMCID: PMC5928818 DOI: 10.4269/ajtmh.17-0476
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Figure 1.Annual distribution of total malaria cases in Zhejiang Province, 2012–2016.
Demographic characteristics of malaria cases in Zhejiang Province, 2012–2016
| Variables | 2012 | 2013 | 2014 | 2015 | 2016 |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 123 (87.9%) | 187 (89.9%) | 195 (90.7%) | 173 (89.2%) | 223 (90.7%) |
| Female | 17 (12.1%) | 21 (10.1%) | 20 (9.3%) | 21 (10.8%) | 23 (9.3%) |
| Age groups (years) | |||||
| ≤ 20 | 12 (8.6%) | 6 (2.9%) | 7 (3.3%) | 1 (0.5%) | 2 (0.8%) |
| 21–30 | 31 (22.1%) | 54 (26.0%) | 59 (27.4%) | 45 (23.2%) | 56 (22.8%) |
| 31–40 | 47 (33.6%) | 37 (17.8%) | 56 (26.0%) | 53 (27.3%) | 65 (26.4%) |
| 41–50 | 34 (24.3%) | 74 (35.6%) | 67 (31.2%) | 65 (33.5%) | 85 (34.6%) |
| ≥ 51 | 16 (11.4%) | 37 (17.8%) | 26 (12.1%) | 30 (15.5%) | 38 (15.4%) |
| Occupation | |||||
| Businessmen | 54 (38.6%) | 59 (28.4%) | 69 (32.1%) | 65 (33.5%) | 84 (34.1%) |
| Workers | 30 (21.4%) | 48 (23.1%) | 41 (19.1%) | 36 (18.6%) | 38 (15.4%) |
| Farmers | 24 (17.1%) | 46 (22.1%) | 35 (16.3%) | 46 (23.7%) | 56 (22.8%) |
| Overseas laborers | 13 (9.3%) | 16 (7.7%) | 42 (19.5%) | 14 (7.2%) | 32 (13.0%) |
| Houseworkers | 6 (4.3%) | 6 (2.9%) | 5 (2.3%) | 5 (2.6%) | 12 (4.9%) |
| Students | 6 (4.3%) | 3 (1.4%) | 3 (1.4%) | 5 (2.6%) | 4 (1.6%) |
| Children | 1 (0.7%) | 2 (1.0%) | 0 | 1 (0.5%) | 0 |
| Others | 6 (4.3%) | 28 (13.5%) | 20 (9.3%) | 22 (11.3%) | 20 (8.1%) |
Others include fishermen, teachers, drivers, translators, and so on.
Origins of malaria cases in Zhejiang Province from 2012 to 2016, by Plasmodium species and countries
| Country | Total | ||||||
|---|---|---|---|---|---|---|---|
| Mixed infection | |||||||
| Africa | Nigeria | 173 | 6 | 13 | 4 | 1 | 197 |
| Ghana | 85 | 4 | 9 | 0 | 1 | 99 | |
| Angola | 85 | 2 | 7 | 3 | 1 | 98 | |
| Equatorial Guinea | 78 | 7 | 9 | 0 | 2 | 96 | |
| Congo | 62 | 4 | 7 | 2 | 1 | 76 | |
| Cameron | 58 | 0 | 5 | 1 | 1 | 65 | |
| Liberia | 14 | 4 | 3 | 1 | 2 | 24 | |
| Guinea | 18 | 1 | 1 | 0 | 0 | 20 | |
| Cote d’Ivoire | 18 | 0 | 2 | 0 | 0 | 20 | |
| Mozambique | 19 | 0 | 0 | 0 | 0 | 19 | |
| Gabon | 16 | 1 | 0 | 0 | 0 | 17 | |
| Ethiopia | 3 | 11 | 0 | 1 | 1 | 16 | |
| Tanzania | 16 | 0 | 0 | 0 | 0 | 16 | |
| Uganda | 10 | 1 | 2 | 0 | 1 | 14 | |
| Malawi | 11 | 2 | 0 | 0 | 0 | 13 | |
| Sudan | 8 | 3 | 0 | 0 | 0 | 11 | |
| Benin | 8 | 1 | 2 | 0 | 0 | 11 | |
| Other African countries | 75 | 4 | 5 | 2 | 0 | 86 | |
| Asia | Myanmar | 3 | 20 | 0 | 0 | 1 | 24 |
| Pakistan | 0 | 20 | 0 | 0 | 0 | 20 | |
| India | 0 | 17 | 0 | 0 | 0 | 17 | |
| Indonesia | 0 | 12 | 0 | 0 | 0 | 12 | |
| Cambodia | 1 | 10 | 0 | 0 | 0 | 11 | |
| Vietnam | 2 | 2 | 0 | 0 | 0 | 4 | |
| Other Asian countries | 1 | 4 | 1 | 0 | 0 | 6 | |
| Other provinces of China | 0 | 6 | 0 | 0 | 0 | 6 | |
| Oceania | Papua New Guinea | 1 | 2 | 0 | 0 | 0 | 3 |
| Solomon Islands | 0 | 2 | 0 | 0 | 0 | 2 | |
| Total | 765 | 146 | 66 | 14 | 12 | 1,003 | |
Time from illness onset to confirmation of malaria cases in Zhejiang Province, 2012–2016
| Variables | Median (days) | Range | |
|---|---|---|---|
| Overall | 3 | 0–56 | |
| Age (years) | 0.251 | ||
| < 30 | 3 | 0–48 | |
| 30–40 | 3 | 0–56 | |
| > 40 | 3 | 0–41 | |
| Gender | 0.441 | ||
| Male | 3 | 0–56 | |
| Female | 3 | 0–26 | |
| Educational level | 0.196 | ||
| Primary school or below | 3 | 0–41 | |
| Middle and high schools | 2.5 | 0–56 | |
| College or above | 3 | 0–48 | |
| Illness history | 0.307 | ||
| No | 3 | 0–41 | |
| Yes | 3 | 0–56 | |
| Complications | 0.002 | ||
| No | 3 | 0–56 | |
| Yes | 4 | 0–37 | |
| 0.004 | |||
| | 3 | 0–48 | |
| | 4 | 0–56 | |
| | 3 | 0–49 | |
| | 6 | 0–16 | |
| Mixed infection | 4 | 0–26 | |
| Imported areas | 0.006 | ||
| Africa | 3 | 0–49 | |
| Asia | 4 | 0–56 | |
| Oceania | 5 | 3–6 |
Factors affecting time interval from illness onset to confirmation of malaria cases in Zhejiang Province, 2012–2016
| Independent variables | Time interval from illness onset to confirmation | |
|---|---|---|
| 95% confidence interval | ||
| Age | 0.009 (−0.027, 0.046) | 0.616 |
| Gender | −0.747 (−2.010, 0.515) | 0.246 |
| Educational level | −0.137 (−0.811, 0.536) | 0.689 |
| Illness history | −0.071 (−0.838, 0.695) | 0.855 |
| Complications | 1.712 (0.325, 3.100) | 0.016 |
| 0.496 (−0.026, 1.018) | 0.062 | |
| Imported areas | 0.824 (−0.369, 2.017) | 0.176 |
Dependent variables were defined as gender: 0=male, 1= female; educational level: 0=primary school or below, 1=middle and high schools, 2=college or above; illness history: 0=no, 1=yes; complications: 0=no, 1=yes; Plasmodium species: 1=P. falciparum, 2=P. vivax, 3=P. ovale, 4=P. malariae, 5=mixed infection; imported area: 0=Africa, 1=Asia, 2=Oceania.
The linear regression coefficient.
Investigation of foci in Zhejiang Province, 2013–2016
| Contacts of cases | Febrile population tested | Positive individuals | |
|---|---|---|---|
| 2013 | 14,033 | 1,355 | 4 |
| 2014 | 11,173 | 1,116 | 2 |
| 2015 | 9,461 | 597 | 1 |
| 2016 | 6,893 | 393 | 3 |
| Total | 41,560 | 3,461 | 10 |