Literature DB >> 30457537

Risk Factors for Acquiring Scrub Typhus among Children in Deoria and Gorakhpur Districts, Uttar Pradesh, India, 2017.

Jeromie Wesley Vivian Thangaraj, Ravi Vasanthapuram, Leonard Machado, Govindakarnavar Arunkumar, Samir V Sodha, Kamran Zaman, Tarun Bhatnagar, Shafeeq K Shahul Hameed, Arun Kumar, Jazeel Abdulmajeed, Anoop Velayudhan, Avinash Deoshatwar, Anita S Desai, K Hemanth Kumar, Nivedita Gupta, Kayla Laserson, Manoj Murhekar.   

Abstract

Scrub typhus is associated with outbreaks of acute encephalitis syndrome in Uttar Pradesh, India. A case-control study indicated that children residing, playing, or visiting fields; living with firewood stored indoors; handling cattle fodder; and practicing open defecation were at increased risk for scrub typhus. Communication messages should focus on changing these behaviors.

Entities:  

Keywords:  Deoria; Gorakhpur; India; Orientia tsutsugamushi; Uttar Pradesh; acute encephalitis syndrome; bacteria; bacterial infection; rickettsial diseases; risk factors; scrub typhus; zoonoses

Mesh:

Year:  2018        PMID: 30457537      PMCID: PMC6256400          DOI: 10.3201/eid2412.180695

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Outbreaks of acute encephalitis syndrome (AES) with high case-fatality rates have been reported from Gorakhpur district, Uttar Pradesh, India, for >2 decades. These outbreaks occur during monsoon and postmonsoon seasons and predominantly affect children. Scrub typhus (ST) accounted for about two thirds of AES cases (–) and is also an important etiology of acute febrile illness (AFI) in the region (). Untreated cases of ST-attributable AFI can progress to AES. ST, caused by the bacterium Orientia tsutsugamushi, is transmitted by the bite of trombiculid mites, which live in moist soil covered with vegetation (). Several risk factors, including certain household characteristics, work-related practices, and behaviors, have been identified among adult ST patients (–). Household characteristics include location of the house near a grassland, vegetable field, or ditch; presence of mud floors; piled weeds inside the house; and scrub vegetation in the vicinity (). Work-related practices include working in vegetable fields or hilly areas and working in short sleeves or with bare hands (). Certain behaviors such as lying on grass and squatting to defecate or urinate also are associated with ST (,,). Because these risk factors are region specific, we conducted an exploratory case-control study among children in Gorakhpur and Deoria districts of Uttar Pradesh to identify factors associated with ST infection.

The Study

We conducted AFI surveillance in public health facilities in Deoria (n = 5) and Gorakhpur (n = 3) districts during October 3–November 11, 2017, a period coinciding with AES outbreaks in Gorakhpur district. We enrolled children 2–15 years of age with a >3-day history of fever, from whom we collected 2 mL of blood after obtaining written informed consent from parents and assent from children 7–15 years of age. We screened serum samples for IgM and IgG against O. tsutsugamushi by using ELISA kits (Scrub Typhus Detect; InBios International Inc., Seattle, WA, USA). For our study, an optical density value >0.5 indicated IgM positivity. This cutoff has 93% sensitivity and 91% specificity for ST diagnosis (). An optical density value <0.5 indicated IgM and IgG negativity. Febrile children who were positive for O. tsutsugamushi IgM were considered case-patients, whereas patients who were seronegative for IgM and IgG were considered controls. Case-patients and controls and their parents or guardians were interviewed in their houses by using a pretested structured questionnaire to collect information on sociodemographics, household characteristics, behaviors, and environmental exposures during the 2 weeks before fever onset. Interviewers were blinded to the case-patient or control status of children except during the first week of study. We calculated crude odds ratios (ORs) and 95% CIs associated with different exposures. We included variables with p value <0.2 in univariate analysis in a stepwise backward elimination model to identify variables for inclusion in the final unconditional multiple logistic regression model by using Stata 13 (StataCorp LLC, College Station, TX, USA). We recruited 819 AFI patients, of whom 155 (18.9%) had O. tsutsugamushi IgM (case-patients) and 409 (49.9%) were seronegative (controls) (Technical Appendix Table 1). We excluded 255 (31.1%) patients who had only O. tsutsugamushi IgG. We interviewed all case-patients and 406 controls. All case-patients and controls were from rural areas. The mean age of case-patients was higher than controls (7.0 vs. 6.3 years; p = 0.018); 39% of case-patients and 51% of controls were <5 years of age. A higher proportion of case-patients than controls were from households that owned agricultural land (83% vs. 73%; p = 0.017) (Table 1).
Table 1

Sociodemographic details of cases and controls, Deoria and Gorakhpur districts, Uttar Pradesh, 2017

Variables% Case-patients, n = 155% Controls, n = 406p value
Age group, y
2–53951
6–104635
11–151415
Mean age, y (SD)
7.0 (3.2)
6.3 (3.5)
0.0176
Sex
M6161
F
39
39
0.882
District
Deoria5655
Gorakhpur
44
45

Religion
Hindu9289
Other
8
11
0.348
Median duration of fever, d (IQR)
7 (4.5–10.0)
5 (4–8)

Household owns agricultural land
No1727
Yes83730.017

*Values are percentages unless otherwise indicated. IQR, interquartile range.

*Values are percentages unless otherwise indicated. IQR, interquartile range. Aside from fever, clinical signs and symptoms among patients varied (Technical Appendix Table 2). Five ST patients, who did not receive doxycycline/azithromycin, had onset of neurologic manifestations and required hospitalization; they recovered after administration of azithromycin. Univariate analysis showed that ST patients were more likely than controls to live in houses located within or adjoining fields, houses with unpaved surroundings with mud or unkempt grass, and mud-floored houses (Table 2). In addition, a higher proportion of case-patients lived in households that used wood or cow dung for cooking and stored this fuel indoors. Compared with controls, children with ST were more likely to have played in agricultural fields, defecated in agricultural fields, bathed in a river or stream, carried grass bundles on their heads, handled fodder for cattle, or visited or accompanied parents to an agricultural field during the 2 weeks before fever onset (Table 2).
Table 2

Risk factors associated with scrub typhus, Gorakhpur and Deoria districts, Uttar Pradesh, 2017*

Risk factor% Cases, n = 155% Controls, n = 406OR (95% CI)p valueaOR (95% CI)
Location of house within or adjoining field67521.86 (1.26–2.74)0.0021.56 (1.02–2.38)
Mud or grassy approach road to house41361.21 (0.82–1.76)0.335
Mud or grassy pavement in front of house81711.73 (1.09–2.74)0.018
Mud house floor72591.88 (1.25–2.82)0.002
Presence of waterbody within 100 m of house
61
51
1.52 (1.04–2.23)
0.029

Location of toilet
No toilet76572.76 (1.59–4.78)0.001
Within house12241
Outside house
12
18
1.36 (0.66–2.80)

Wood or dung fuel55342.32 (1.59–3.39)<0.01
Storage of fuel (wood or dung) inside house or veranda53342.16 (1.48–3.14)<0.011.61 (1.06–2.45)
Food waste given to cattle or disposed in common place30251.27 (0.84–1.92)0.248
Spotted rats inside house, daily80791.09 (0.68–1.73)0.731
Spotted rats outside house, daily43480.81 (0.56–1.17)0.263
Presence of scrub vegetation around house79731.38 (0.88–2.17)0.154
Storage of wet food produce inside house or veranda37251.78 (1.20–2.65)0.004
Storage of dried food produce inside house or veranda83721.87 (1.17–2.99)0.009
Livestock kept inside house or veranda32221.65 (1.09–2.48)0.017
Fodder for livestock stored inside house or veranda
32
24
1.49 (0.99–2.24)
0.055

Place of drying clothes; bushes, ground, fence, or roof30251.30 (0.86–1.95)0.213
Usual clothing at home for lower body; fully covered24211.18 (0.76–1.83)0.451
Usual clothing at home for upper body; fully covered8110.71 (0.36–1.38)0.308
Usual clothing for school for lower body; fully covered48421.14 (0.74–1.76)0.543
Usual clothing for school for upper body; fully covered51431.27 (0.82–1.97)0.283
Usual clothing during playing for lower body; fully covered21171.26 (0.79–1.99)0.334
Usual clothing during playing for upper body; fully covered881.0 (0.51–1.97)0.980
Using clothing while sleeping for lower body; fully covered19171.1 (0.68–1.78)0.692
Using clothing while sleeping for upper body; fully covered770.89 (0.42–1.88)0.763
Change of clothes before sleep; never or sometimes86841.24 (0.73–2.11)0.423
Do not wear footwear during playing73651.25 (0.82–1.89)0.298
Do not wear footwear while going to school
6
4
1.37 (0.59–3.19)
0.465

Place of play in 2 wks before illness
Indoor51710.001
Around house77763.77 (1.68–8.45)2.68 (1.15–6.27)
Agricultural fields
18
7
9.38 (3.68–23.90)
5.20 (1.92–14.15)
Practice of washing after playing
Usually takes bath13141
Usually washes hands or feet59601.05 (0.60–1.84)0.769
None
28
25
1.21 (0.65–2.25)
0.225

Floor as usual place of sleeping
14
11
1.41 (0.81–2.44)


Place of defecation in 2 wks before illness
Around house7141.12 (0.52–2.42)0.0010.93 (0.41–2.12)
Field76483.62 (2.25–5.82)2.00 (1.18–3.39)
Toilet
17
38
1

1
Early morning defecation30251.28 (0.85–1.93)0.237
Swam or bathed in river or stream in 2 wks before illness1152.37 (1.21–4.67)0.0121.74 (0.80–3.77)
Visited field in 2 wks before illness61392.49 (1.70–3.63)<0.011.65 (1.07–2.52)
Carried bundle of grass over head in 2 wks before illness1462.29 (1.25–4.21)<0.010.75 (0.35–1.61)
Handled cattle fodder in 2 wks before illness2593.46 (2.1–5.69)<0.012.05 (1.13–3.70)

*aOR, adjusted odds ratio; OR, odds ratio.

*aOR, adjusted odds ratio; OR, odds ratio. Multivariable analysis showed that children residing in houses within or adjoining fields (adjusted OR [aOR] 1.56, 95% CI 1.02–2.38) and that stored firewood indoors (aOR 1.61, 95% CI 1.06–2.45) had higher odds of acquiring ST. Open defecation (aOR 2.0, 95% CI 1.18–3.39), playing in (aOR 5.2, 95% CI 1.92–14.2) or visiting (aOR 1.65, 95% CI 1.07–2.52) agricultural fields, and handling cattle fodder (aOR 2.05, 95% CI 1.13–3.70) also were associated with ST (Table 2).

Conclusions

In Gorakhpur and Deoria districts, recent exposure to the outdoor environment, either while defecating or playing in agricultural fields, as well as visiting agricultural fields, storing firewood indoors, and handling fodder for cattle were associated with higher risk for acquiring ST among children. Of these risk factors, defecation in the agricultural field was the most common exposure at the population level. The observed association of ST and defecation in fields is consistent with the findings from an ST outbreak in Manipur, India, where persons who defecated or urinated in the jungle or bushy areas were found to be at higher risk for ST (). In Gorakhpur and Deoria districts, about one third of the study population had toilets, a finding consistent with the 2015 national level survey, which indicated that 29.5% of the households in rural Uttar Pradesh had sanitary toilets and 27.3% of households that had access to toilets were using them (http://www.mdws.gov.in/sites/default/files/Swachh%20Survekshan%20Report%20Eng.PDF). Efforts to prevent ST in the region therefore also need to focus on constructing household and community toilets, as well as behavior change communication about avoiding open defecation in the fields. In addition, storing firewood and fodder indoors attracts rodents that can harbor mites. Mites present on the firewood and fodder collected from fields might expose children to mite bites during storage or handling of the cattle fodder. Our study had limitations. First, although OT IgM is detectable as early as 4 days after fever onset (), some ST patients in our study might have been negative for IgM and hence misclassified as controls. However, such nondifferential misclassification is likely to underestimate the actual association. Further, the median duration of fever was 7 days (interquartile range 4.5–10.0 days) among case-patients and 5 days (interquartile range 4–8 days) among controls (Table 1), indicating minimal possibility of such misclassification. Some controls might have been misclassified as case-patients because of persistence of IgM from previous infection (). However, this possibility is less likely considering that IgM peaks by 4 weeks of infection and declines rapidly thereafter (). Second, our control-patients were AFI patients from healthcare facilities and not healthy children from the general population. Nevertheless, the behaviors of children visiting healthcare facilities before their febrile illness and children from the general population are less likely to be different. For prevention of ST among children in Gorakhpur and Deoria districts, communication messages should focus on changing behaviors such as defecating or playing in agricultural fields and unnecessary visits to agricultural fields. Onset of central nervous system manifestations among untreated ST patients underscores the importance of early administration of doxycycline/azithromycin to ST patients in Gorakhpur and Deoria districts to prevent progression to AES.

Technical Appendix

Additional details on risk factors for acquisition of scrub typhus among children, Uttar Pradesh, India, 2017.
  15 in total

1.  An outbreak of scrub typhus in Bishnupur district of Manipur, India, 2007.

Authors:  S Ibungochouba Singh; K Purnamala Devi; Rajkumari Tilotama; Somorjit Ningombam; Y Gopalkrishna; Thokchom Biren Singh; Manoj V Murhekar
Journal:  Trop Doct       Date:  2010-07       Impact factor: 0.731

2.  A community-based case-control study of behavioral factors associated with scrub typhus during the autumn epidemic season in South Korea.

Authors:  Sun-Seog Kweon; Jin-Su Choi; Hyun-Sul Lim; Jang-Rak Kim; Keon-Yeop Kim; So-Yeon Ryu; So-Dam Lee; Heung-Ku Im; Jun-Wook Kwon
Journal:  Am J Trop Med Hyg       Date:  2009-03       Impact factor: 2.345

3.  A serosurvey of Orientia tsutsugamushi from patients with scrub typhus.

Authors:  D M Kim; Y-M Lee; J-H Back; T Y Yang; J H Lee; H-J Song; S-K Shim; K-J Hwang; M-Y Park
Journal:  Clin Microbiol Infect       Date:  2009-09-23       Impact factor: 8.067

4.  Disease sleuths unmask deadly encephalitis culprit.

Authors:  Priyanka Pulla
Journal:  Science       Date:  2017-07-28       Impact factor: 47.728

5.  Acute encephalitis syndrome in Gorakhpur, Uttar Pradesh, India - Role of scrub typhus.

Authors:  Manoj V Murhekar; Mahima Mittal; John Antony Jude Prakash; Vivekanandan M Pillai; Mahim Mittal; C P Girish Kumar; Satish Shinde; Prashant Ranjan; Chinmay Oak; Nivedita Gupta; Sanjay Mehendale; Rashmi Arora; Mohan Gupte
Journal:  J Infect       Date:  2016-09-01       Impact factor: 6.072

6.  Prevalence and risk factors for scrub typhus in South India.

Authors:  Paul Trowbridge; Divya P; Prasanna S Premkumar; George M Varghese
Journal:  Trop Med Int Health       Date:  2017-03-02       Impact factor: 2.622

7.  Acute Encephalitis Syndrome in Gorakhpur, Uttar Pradesh, 2016: Clinical and Laboratory Findings.

Authors:  Mahima Mittal; Vijay Bondre; Manoj Murhekar; Hirawati Deval; Winsley Rose; Valsan Philip Verghese; Mahim Mittal; Gajanan Patil; Ramsamy Sabarinathan; Jeromie Wesley Vivian Thangaraj; Kaliaperumal Kanagasabai; John Antony Jude Prakash; Nivedita Gupta; Manish M Gupte; Mohan D Gupte
Journal:  Pediatr Infect Dis J       Date:  2018-11       Impact factor: 2.129

8.  Diagnostic Accuracy of the InBios Scrub Typhus Detect Enzyme-Linked Immunoassay for the Detection of IgM Antibodies in Northern Thailand.

Authors:  Stuart D Blacksell; Ampai Tanganuchitcharnchai; Pruksa Nawtaisong; Pacharee Kantipong; Achara Laongnualpanich; Nicholas P J Day; Daniel H Paris
Journal:  Clin Vaccine Immunol       Date:  2015-12-09

9.  A case-control study of risk factors associated with scrub typhus infection in Beijing, China.

Authors:  Yanning Lyu; Lili Tian; Liqin Zhang; Xiangfeng Dou; Xiaomei Wang; Weihong Li; Xiuchun Zhang; Yulan Sun; Zengzhi Guan; Xinyu Li; Quanyi Wang
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

10.  Scrub Typhus as a Cause of Acute Encephalitis Syndrome, Gorakhpur, Uttar Pradesh, India.

Authors:  Mahima Mittal; Jeromie Wesley Vivian Thangaraj; Winsley Rose; Valsan Philip Verghese; C P Girish Kumar; Mahim Mittal; R Sabarinathan; Vijay Bondre; Nivedita Gupta; Manoj V Murhekar
Journal:  Emerg Infect Dis       Date:  2017-08       Impact factor: 6.883

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Authors:  Rina Tilak; Renuka Kunte
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2.  Genotypic Characterization of Orientia tsutsugamushi Isolated From Acute Encephalitis Syndrome and Acute Febrile Illness Cases in the Gorakhpur Area, Uttar Pradesh, India.

Authors:  Nikita Nanaware; Dipen Desai; Anwesha Banerjee; Kamran Zaman; Mahim Mittal; Mahima Mittal; Smita Kulkarni
Journal:  Front Microbiol       Date:  2022-07-05       Impact factor: 6.064

3.  An outbreak investigation of scrub typhus in Nepal: confirmation of local transmission.

Authors:  Meghnath Dhimal; Shyam Prakash Dumre; Guna Nidhi Sharma; Pratik Khanal; Kamal Ranabhat; Lalan Prasad Shah; Bibek Kumar Lal; Runa Jha; Bishnu Prasad Upadhyaya; Bhim Acharya; Sanjaya Kumar Shrestha; Silas A Davidson; Piyada Charoensinphon; Khem B Karki
Journal:  BMC Infect Dis       Date:  2021-02-18       Impact factor: 3.090

4.  First seroprevalence report of scrub typhus from the tribal belts of the Nilgiris district, Tamil Nadu, India.

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Journal:  Indian J Med Res       Date:  2021-04       Impact factor: 2.375

5.  Seroprevalence & seroincidence of Orientia tsutsugamushi infection in Gorakhpur, Uttar Pradesh, India: A community-based serosurvey during lean (April-May) & epidemic (October-November) periods for acute encephalitis syndrome.

Authors:  Suchit Kamble; Arati Mane; Suvarna Sane; Suvarna Sonavale; Pallavi Vidhate; Manish Kumar Singh; Raman Gangakhedkar; Mohan Gupte
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