| Literature DB >> 24901439 |
Michael B Arndt1, Emily M Mosites1, Mu Tian2, Mohammad H Forouzanfar3, Ali H Mokhdad4, Margaret Meller5, Rion L Ochiai6, Judd L Walson7.
Abstract
Despite the increasing availability of typhoid vaccine in many regions, global estimates of mortality attributable to enteric fever appear stable. While both Salmonella enterica serovar Typhi (S. Typhi) and serovar Paratyphi (S. Paratyphi) cause enteric fever, limited data exist estimating the burden of S. Paratyphi, particularly in Asia and Africa. We performed a systematic review of both English and Chinese-language databases to estimate the regional burden of paratyphoid within Africa and Asia. Distinct from previous reviews of the topic, we have presented two separate measures of burden; both incidence and proportion of enteric fever attributable to paratyphoid. Included articles reported laboratory-confirmed Salmonella serovar classification, provided clear methods on sampling strategy, defined the age range of participants, and specified the time period of the study. A total of 64 full-text articles satisfied inclusion criteria and were included in the qualitative synthesis. Paratyphoid A was commonly identified as a cause of enteric fever throughout Asia. The highest incidence estimates in Asia came from China; four studies estimated incidence rates of over 150 cases/100,000 person-years. Paratyphoid A burden estimates from Africa were extremely limited and with the exception of Nigeria, few population or hospital-based studies from Africa reported significant Paratyphoid A burden. While significant gaps exist in the existing population-level estimates of paratyphoid burden in Asia and Africa, available data suggest that paratyphoid A is a significant cause of enteric fever in Asia. The high variability in documented incidence and proportion estimates of paratyphoid suggest considerable geospatial variability in the burden of paratyphoid fever. Additional efforts to monitor enteric fever at the population level will be necessary in order to accurately quantify the public health threat posed by S. Paratyphi A, and to improve the prevention and treatment of enteric fever.Entities:
Mesh:
Year: 2014 PMID: 24901439 PMCID: PMC4046978 DOI: 10.1371/journal.pntd.0002925
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Quality score criteria.
Figure 2English-language systematic search results of S. Paratyphi A burden, articles published 2005–2013.
Figure 3Chinese-language systematic search results of S. Paratyphi A burden, articles published 2005–2013.
Population-based surveillance studies which reported S. Paratyphi A burden in Asia and Africa.
| Region | Reference | Year | Population | Sample size | Study design | Proportion of enteric fever | Incidence (cases/100,000 person-years) | Quality score |
| East Asia | ||||||||
| Hongta District, China |
| 2008–2009 | District population | 380,000 | Passive surveillance | - | 220 (est.) | Medium |
| Guangxi Province, China |
| 2004 | Province population | 46,000,000 | Passive surveillance | 90.0% (est.) | 10 (est.) | Medium |
| Hechi City, China |
| 2001–2002 | City population | 3,830,000 | Enhanced passive surveillance | 64.3% | 27 | High |
| South Asia | ||||||||
| Karachi, Pakistan |
| 2007–2008 | Sample of children <5 years | 5,570 | Active surveillance | 11.1% | 51 (est.) | Medium |
| Dhaka, Bangladesh |
| 2003–2004 | Population sample | 24,893 | Active surveillance | 16.7% | 40 | High |
| Kolkata, India |
| 2003–2004 | Population sample | 56,946 | Enhanced passive surveillance | 37.0% | 80 | High |
| Kolkata, India |
| 2003–2004 | Population sample | 57,075 | Enhanced passive surveillance | 23.5% | 42 | High |
| Karachi, Pakistan |
| 8/2002–7/2003 | Sample of 2–16 year olds | 15,219 | Passive surveillance | 15.9% | 76 | High |
| Karachi, Pakistan |
| 2002–2004 | Sample of 2–16 year olds | 116,500 | Enhanced passive surveillance | 14.5% | 72 | High |
| Southeast Asia | ||||||||
| Jakarta, Indonesia |
| 2002–2003 | Population sample | 160,257 | Enhanced passive surveillance | 14.3% | 13.7 | High |
| Singapore |
| 1990–2009 | City population | 5,183,700 | Passive surveillance | 45.4% | - | Low |
| Sub-Saharan Africa | ||||||||
| Lwak and Kibera Kenya |
| 2007–2009 | Individuals living in 0.4 km2 area (Kibera) and 100 km2 (Lwak) | 28,000 (Kibera) 25,000 (Lwak) | Active surveillance | 0% | 0 | High |
Hospital-based studies with proportional estimates of S. Paratyphi A burden in Asia and Africa.
| Region | Reference | Year | Population (All ages unless noted) | Sample Size | Study design | Proportion of enteric fever | Quality score |
| South Asia | |||||||
| Kathmandu, Nepal |
| 1993–2003 | Suspected septicemia | 82,467 | Retrospective | 29.3% | Medium |
| Kathmandu, Nepal |
| 2002–2004 | Patients with fever | 103 | Prospective | 34.8% | Medium |
| Pokhara, Nepal |
| 2000–2005 | Pediatric cases of enteric fever | 85 | Retrospective case review | 8.6% | Medium |
| Kathmandu, Nepal |
| 6/2005–5/2009 | Patients culture+ for Salmonella | 3,898 | Retrospective | 64.6% | Medium |
| Kathmandu, Nepal |
| 4/2007–3/2008 | Febrile children <15 | 9,856 | Prospective | 17.0% | Medium |
| Kathmandu, Nepal |
| 2008–2009 | Culture-confirmed enteric fever | 584 | Case control study | 26.2% | Medium |
| Kathmandu, Nepal |
| 2008–2009 | Patients with fever | 479 | Prospective | 65.4% | Medium |
| Chandigarh, India |
| 2003–2007 | Patients with fever | 11,240 | Prospective (2006–7) and retrospective (2003–5) | 24.3% | Medium |
| Mumbai, India |
| 2003–2005 | Patients with clinically diagnosed enteric fever | 226 | Retrospective chart review | 38.7% | Medium |
| New Delhi, India |
| 1999, 2002, 2005 | Patients with fever | 5,565 | Prospective | 10.3% | Medium |
| Rourkela, India |
| 2005–2008 | Patients with fever | 5,340 | Prospective | 21.0% | Medium |
| South India |
| 2005–2006 | Patients with fever | 6,010 | Prospective | 54.5% | Medium |
| Rawalpindi, Pakistan |
| 1993–2003 | Patients with fever | 2,9104 | Prospective | 46.2% | Medium |
| Pakistan |
| 2001–2006 | Patients with fever | 175,987 | Prospective country-wide assessment | 28.9% | Medium |
| Southeast Asia | |||||||
| Phnom Penh, Cambodia |
| 2007–2010 | Adults with signs of Systemic Inflammatory Response Syndrome | 6,881 | Prospective | 9.1% | Medium |
| Middle East | |||||||
| Hamadan, Iran |
| 2001–2004 | Patients culture positive for Salmonella | 296 | Retrospective (banked specimens) | 9.3% | Medium |
| Israel |
| 1995–2003 | Patients culture positive for S. Typhi, and | 136 | Retrospective country-wide assessment | 13.4% | Medium |
| Sub-Saharan Africa | |||||||
| Zaria, Nigeria |
| 2007–2008 | Patients with clinically diagnosed enteric fever | 713 | Prospective | 17.4% | Medium |
| Lagos, Nigeria |
| 2004–2005 | Patients with fever or gastroenteritis | 441 | Prospective | 34.4% | Medium |
| Dakar, Senegal |
| 1996–2003 | Patients with fever | 10,944 | Retrospective | 0.0% | Medium |
| Benin |
| 2005–2007 | Patients with long-term fever, yellow diarrhea, and headache or dizziness | 273 | Prospective | 2.3% | Low |
| Togo |
| 2005–2006 | Clinically diagnosed enteric fever | 200 | Prospective | 0.0% | Medium |
Population-based studies which reported S. Paratyphi A burden in China.
| Province | Reference | Sample size | Year | Population | Study design | Proportion of enteric fever | Incidence (cases/100,000 person-years) | Quality score |
| Southwest China | ||||||||
| Yunnan |
| 45,966,239 | 2005–2008 | Province-based | Passive surveillance | 35.1% | 4.75 | Medium |
| Yunnan |
| 2,429,000 | 2005–2008 | Baoshan City | Passive surveillance | 21.3% | 2.48 | Medium |
| Guizhou |
| 265,563 | 2006–2007 | Liupanshui City | Active surveillance | 83.3% | 8.66 | High |
| Guizhou |
| 320,000 | 2001–2006 | Ziyun County | Passive surveillance | 59.1% | 58.96 | Medium |
| Guizhou |
| 416,500 (2007) | 2000–2007 | Tianzhu County | Passive surveillance | 2.0% | 0.78 | Medium |
| Guizhou |
| 37,200,000 | 1999–2007 | Province-based | Passive surveillance | 26.5% | 8.15 | Medium |
| South China | ||||||||
| Guangxi |
| 9,049 | 2001–2005 | Sample from Hechi City | Active surveillance | 70.7% | 14.57 | Medium |
| Guangxi |
| 620,000 | 2002 | Guilin City | Active surveillance | 41.7% | 0.02 | Medium |
| Guangxi |
| 13,379 | 2006–2007 | Children from 38 primary, middle, and high schools | RCT/Active surveillance | - | 185.00 | High |
| Guangxi |
| 47,680,000 | 2004–2010 | Province-based | Passive surveillance | 37.3% | 4.78-0.8 | Medium |
| Guangxi |
| 120,097 | 2001–2005 | Jinjiang | Active surveillance | 73.1% | 16.01 | High |
| Guangxi |
| 535,673 | 2008 | Quanzhou County | Active surveillance | 85.8% | 180.00 | High |
| Guangxi |
| 4,930,000 | 1991–2005 | Guilin | Passive surveillance | 71.7% | 32.64 | Medium |
| Guangxi |
| 6,480,000 | 2004–2007 | Nanning | Passive surveillance | 65.2% | 0.82 | Medium |
| Northeast China | ||||||||
| Liaoning |
| 6,690,432 | 2006–2011 | Dalian | Passive surveillance | 20.6% | 0.08 | Low |
| East China | ||||||||
| Zhejiang |
| 56,137,000 | 1994–2004 | Province-based | Passive surveillance | 67.6% | 11.85 | Medium |
| Zhejiang |
| 525,900 | 2002–2008 | Linan | Passive surveillance | 98.7% | 29.03 | Medium |
| Zhejiang |
| 46,260,000 | 2004–2006 | Province-based | Active surveillance | 92.0% | 6.05 | High |
| Zhejiang |
| 1,500,000 | 2004 | Taizhou | Passive surveillance | 93.3% | 57.45 | Medium |
| Zhejiang |
| 402,300 | 2001–2004 | Yuhuan County | Passive surveillance | 99.8% | 192.50 | Medium |
| Zhejiang |
| 1,150,000 | 2004 | Wenling | Passive surveillance | 100.0% | 163.26 | Medium |
| Zhejiang |
| 583,000 | 2004–2007 | Jiangshan City | Passive surveillance | 74.6% | 4.89 | Medium |
| Zhejiang |
| 7,600,000 | 2004–2006 | Ningbo | Passive surveillance | - | 29.58 | Medium |
| Zhejiang |
| 691,900 | 2004–2008 | Zhoushan | Passive surveillance | 66.2% | 3.90 | Low |
| Zhejiang |
| 1,018,000 | 2000–2006 | Shaoxing | Passive surveillance | 70.3% | 13.88 | Medium |
| Zhejiang |
| 46,260,900 | 1997–2006 | Province-based | Passive surveillance | 79.9% | 8.61 | Medium |
| Shandong |
| 92,480,000 | 2005 | Province-based | Passive surveillance | 69.7% | 0.19 | Medium |
| Shandong |
| 11,000,000 | 2005 | Linyi | Passive surveillance | 98.7% | 5.32 | Low |
| 2006 | 96.7% | 1.32 | ||||||
| 2007 | 97.1% | 2.36 | ||||||
| Shandong |
| 9,942,000 | 2004 | Linyi | Passive surveillance | 98.7% | 5.23 | Medium |
| 2005 | 96.7% | 1.43 | ||||||
| Fujian |
| 37,106,188 (2010) | 2004–2010 | Province-based | Passive surveillance | 25.4% | 0.34 | Medium |
| South central China | ||||||||
| Hunan |
| 2,490,275 | 2003–2010 | Xiangxi | Passive surveillance | 10.5% | 0.57 | Medium |
| Hunan |
| 548,000 | 2001–2010 | Lengshuitan | Passive surveillance, active surveillance since 2004 | 6.6% | 0.91 | Medium |
| Central China | ||||||||
| Henan |
| 668,592 | 2007 | Dengfeng City | Passive surveillance | 25.98 | Low | |
| Henan |
| 93,880,000 | 2011 | Province-based | Passive surveillance | 36.0% | 0.06 | Medium |