Fever Watch: live monsoon-fever risk for your city, in one score.

A daily risk read for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid) in your city, built from weather conditions, search interest and lab positivity. A risk indicator, not a diagnosis or a case count.

Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

Monsoon fever risk by city, today

Overall risk across 209 cities, highest first. Open any city for its full read.

#	City	State	Band	Score
1	Panaji	Goa	HIGH	91
2	Mumbai	Maharashtra	HIGH	84
3	Kolkata	West Bengal	HIGH	82
4	Jamshedpur	Jharkhand	HIGH	75
5	Dhanbad	Jharkhand	HIGH	73
6	Ranchi	Jharkhand	HIGH	70
7	Muzaffarpur	Bihar	HIGH	70
8	Hyderabad	Telangana	MODERATE	69
9	Chennai	Tamil Nadu	MODERATE	69
10	Prayagraj	Uttar Pradesh	MODERATE	69
11	Haldwani	Uttarakhand	MODERATE	67
12	Deoghar	Jharkhand	MODERATE	67
13	Hazaribagh	Jharkhand	MODERATE	67
14	Ahmedabad	Gujarat	MODERATE	66
15	Indore	Madhya Pradesh	MODERATE	66
16	Bokaro	Jharkhand	MODERATE	65
17	Haridwar	Uttarakhand	MODERATE	65
18	Thane	Maharashtra	MODERATE	64
19	Bhiwandi	Maharashtra	MODERATE	64
20	Brahmapur	Odisha	MODERATE	64
21	Jalgaon	Maharashtra	MODERATE	64
22	Puri	Odisha	MODERATE	64
23	Pune	Maharashtra	MODERATE	63
24	Nashik	Maharashtra	MODERATE	63
25	Howrah	West Bengal	MODERATE	63
26	Gorakhpur	Uttar Pradesh	MODERATE	63
27	Bhilai	Chhattisgarh	MODERATE	63
28	Cuttack	Odisha	MODERATE	63
29	Durgapur	West Bengal	MODERATE	63
30	Siliguri	West Bengal	MODERATE	63
31	Jhansi	Uttar Pradesh	MODERATE	63
32	Korba	Chhattisgarh	MODERATE	63
33	Bilaspur	Chhattisgarh	MODERATE	63
34	Darbhanga	Bihar	MODERATE	63
35	Chandrapur	Maharashtra	MODERATE	63
36	Satara	Maharashtra	MODERATE	63
37	Mirzapur	Uttar Pradesh	MODERATE	63
38	Hardoi	Uttar Pradesh	MODERATE	63
39	Sitapur	Uttar Pradesh	MODERATE	63
40	Bardhaman	West Bengal	MODERATE	63
41	Baharampur	West Bengal	MODERATE	63
42	Kharagpur	West Bengal	MODERATE	63
43	Haldia	West Bengal	MODERATE	63
44	Sambalpur	Odisha	MODERATE	63
45	Raigarh	Chhattisgarh	MODERATE	63
46	Agra	Uttar Pradesh	MODERATE	62
47	Bareilly	Uttar Pradesh	MODERATE	62
48	Aligarh	Uttar Pradesh	MODERATE	62
49	Moradabad	Uttar Pradesh	MODERATE	62
50	Amravati	Maharashtra	MODERATE	62
51	Firozabad	Uttar Pradesh	MODERATE	62
52	Rourkela	Odisha	MODERATE	62
53	Shahjahanpur	Uttar Pradesh	MODERATE	62
54	Rampur	Uttar Pradesh	MODERATE	62
55	Etawah	Uttar Pradesh	MODERATE	62
56	Bulandshahr	Uttar Pradesh	MODERATE	62
57	Amroha	Uttar Pradesh	MODERATE	62
58	Fatehpur	Uttar Pradesh	MODERATE	62
59	Raebareli	Uttar Pradesh	MODERATE	62
60	Budaun	Uttar Pradesh	MODERATE	62
61	Begusarai	Bihar	MODERATE	62
62	Purnia	Bihar	MODERATE	62
63	Chhapra	Bihar	MODERATE	62
64	Malda	West Bengal	MODERATE	62
65	Satna	Madhya Pradesh	MODERATE	62
66	Rewa	Madhya Pradesh	MODERATE	62
67	Singrauli	Madhya Pradesh	MODERATE	62
68	Anand	Gujarat	MODERATE	62
69	Nadiad	Gujarat	MODERATE	62
70	Bharuch	Gujarat	MODERATE	62
71	Navsari	Gujarat	MODERATE	62
72	Surat	Gujarat	MODERATE	61
73	Ghaziabad	Uttar Pradesh	MODERATE	61
74	Meerut	Uttar Pradesh	MODERATE	61
75	Varanasi	Uttar Pradesh	MODERATE	61
76	Saharanpur	Uttar Pradesh	MODERATE	61
77	Noida	Uttar Pradesh	MODERATE	61
78	Gaya	Bihar	MODERATE	61
79	Bhagalpur	Bihar	MODERATE	61
80	Muzaffarnagar	Uttar Pradesh	MODERATE	61
81	Mathura	Uttar Pradesh	MODERATE	61
82	Gandhinagar	Gujarat	MODERATE	61
83	Daman	Dadra and Nagar Haveli and Daman and Diu	MODERATE	61
84	Silvassa	Dadra and Nagar Haveli and Daman and Diu	MODERATE	61
85	Hapur	Uttar Pradesh	MODERATE	61
86	Bihar Sharif	Bihar	MODERATE	61
87	Arrah	Bihar	MODERATE	61
88	Sagar	Madhya Pradesh	MODERATE	61
89	Dewas	Madhya Pradesh	MODERATE	61
90	Katni	Madhya Pradesh	MODERATE	61
91	Khandwa	Madhya Pradesh	MODERATE	61
92	Karimnagar	Telangana	MODERATE	61
93	Ramagundam	Telangana	MODERATE	61
94	Nagpur	Maharashtra	MODERATE	60
95	Visakhapatnam	Andhra Pradesh	MODERATE	60
96	Faridabad	Haryana	MODERATE	60
97	Akola	Maharashtra	MODERATE	60
98	Ujjain	Madhya Pradesh	MODERATE	60
99	Agartala	Tripura	MODERATE	60
100	Port Blair	Andaman and Nicobar Islands	MODERATE	60
101	Unnao	Uttar Pradesh	MODERATE	60
102	Rajahmundry	Andhra Pradesh	MODERATE	60
103	Eluru	Andhra Pradesh	MODERATE	60
104	Vadodara	Gujarat	MODERATE	59
105	Chandigarh	Chandigarh	MODERATE	59
106	Gurugram	Haryana	MODERATE	59
107	Rohtak	Haryana	MODERATE	59
108	Panipat	Haryana	MODERATE	59
109	Bharatpur	Rajasthan	MODERATE	59
110	Ratlam	Madhya Pradesh	MODERATE	59
111	Karnal	Haryana	MODERATE	59
112	Dibrugarh	Assam	MODERATE	59
113	Kanpur	Uttar Pradesh	MODERATE	58
114	Vijayawada	Andhra Pradesh	MODERATE	58
115	Kota	Rajasthan	MODERATE	58
116	Guwahati	Assam	MODERATE	58
117	Guntur	Andhra Pradesh	MODERATE	58
118	Dehradun	Uttarakhand	MODERATE	58
119	Dhule	Maharashtra	MODERATE	58
120	Alwar	Rajasthan	MODERATE	58
121	Kakinada	Andhra Pradesh	MODERATE	58
122	Ambala	Haryana	MODERATE	58
123	Jaipur	Rajasthan	MODERATE	57
124	Aurangabad	Maharashtra	MODERATE	57
125	Raipur	Chhattisgarh	MODERATE	57
126	Hubballi	Karnataka	MODERATE	57
127	Warangal	Telangana	MODERATE	57
128	Mangaluru	Karnataka	MODERATE	57
129	Nizamabad	Telangana	MODERATE	57
130	Udupi	Karnataka	MODERATE	57
131	Ongole	Andhra Pradesh	MODERATE	57
132	Mohali	Punjab	MODERATE	57
133	Jabalpur	Madhya Pradesh	MODERATE	56
134	Gwalior	Madhya Pradesh	MODERATE	56
135	Madurai	Tamil Nadu	MODERATE	56
136	Bhubaneswar	Odisha	MODERATE	56
137	Asansol	West Bengal	MODERATE	56
138	Nanded	Maharashtra	MODERATE	56
139	Kolhapur	Maharashtra	MODERATE	56
140	Belagavi	Karnataka	MODERATE	56
141	Katihar	Bihar	MODERATE	56
142	Kanchipuram	Tamil Nadu	MODERATE	56
143	Amritsar	Punjab	MODERATE	55
144	Latur	Maharashtra	MODERATE	55
145	Sangli	Maharashtra	MODERATE	55
146	Ahmednagar	Maharashtra	MODERATE	55
147	Parbhani	Maharashtra	MODERATE	55
148	Sikar	Rajasthan	MODERATE	55
149	Khammam	Telangana	MODERATE	55
150	Rajkot	Gujarat	MODERATE	54
151	Solapur	Maharashtra	MODERATE	54
152	Ajmer	Rajasthan	MODERATE	54
153	Bhilwara	Rajasthan	MODERATE	54
154	Puducherry	Puducherry	MODERATE	54
155	Junagadh	Gujarat	MODERATE	54
156	Vellore	Tamil Nadu	MODERATE	54
157	Jamnagar	Gujarat	MODERATE	53
158	Jammu	Jammu and Kashmir	MODERATE	53
159	Udaipur	Rajasthan	MODERATE	53
160	Thrissur	Kerala	MODERATE	53
161	Dindigul	Tamil Nadu	MODERATE	53
162	Kottayam	Kerala	MODERATE	53
163	Delhi	Delhi	MODERATE	52
164	Lucknow	Uttar Pradesh	MODERATE	52
165	Kochi	Kerala	MODERATE	52
166	Kozhikode	Kerala	MODERATE	52
167	Kollam	Kerala	MODERATE	52
168	Thiruvananthapuram	Kerala	MODERATE	52
169	Gandhidham	Gujarat	MODERATE	52
170	Vijayapura	Karnataka	MODERATE	52
171	Kannur	Kerala	MODERATE	52
172	Palakkad	Kerala	MODERATE	52
173	Alappuzha	Kerala	MODERATE	52
174	Jalandhar	Punjab	MODERATE	51
175	Gulbarga	Karnataka	MODERATE	51
176	Kurnool	Andhra Pradesh	MODERATE	51
177	Bellary	Karnataka	MODERATE	51
178	Patiala	Punjab	MODERATE	51
179	Coimbatore	Tamil Nadu	MODERATE	49
180	Jodhpur	Rajasthan	MODERATE	49
181	Tiruchirappalli	Tamil Nadu	MODERATE	49
182	Salem	Tamil Nadu	MODERATE	49
183	Tirupati	Andhra Pradesh	MODERATE	49
184	Thanjavur	Tamil Nadu	MODERATE	49
185	Ludhiana	Punjab	MODERATE	48
186	Nellore	Andhra Pradesh	MODERATE	48
187	Pali	Rajasthan	MODERATE	48
188	Hosur	Tamil Nadu	MODERATE	48
189	Tirunelveli	Tamil Nadu	MODERATE	47
190	Davanagere	Karnataka	MODERATE	47
191	Tumakuru	Karnataka	MODERATE	47
192	Raichur	Karnataka	MODERATE	47
193	Bhopal	Madhya Pradesh	MODERATE	46
194	Mysuru	Karnataka	MODERATE	46
195	Thoothukudi	Tamil Nadu	MODERATE	46
196	Nagercoil	Tamil Nadu	MODERATE	46
197	Kadapa	Andhra Pradesh	MODERATE	46
198	Anantapur	Andhra Pradesh	MODERATE	46
199	Hisar	Haryana	MODERATE	46
200	Patna	Bihar	MODERATE	45
201	Tiruppur	Tamil Nadu	MODERATE	45
202	Erode	Tamil Nadu	MODERATE	45
203	Hanumangarh	Rajasthan	LOW-MODERATE	44
204	Bathinda	Punjab	LOW-MODERATE	43
205	Hassan	Karnataka	LOW-MODERATE	42
206	Bengaluru	Karnataka	LOW-MODERATE	41
207	Bikaner	Rajasthan	LOW-MODERATE	39
208	Sri Ganganagar	Rajasthan	LOW-MODERATE	39
209	Srinagar	Jammu and Kashmir	LOW-MODERATE	25

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a forecast-only mode eases the score back as it climbs toward the HIGH threshold (a soft cap held below 70) so it can approach but never enter HIGH, keeping a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read (no lab data) is eased back as it climbs and held below 70, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

Common questions

What is Fever Watch?

Fever Watch is a daily risk indicator for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid), shown as one decomposable score per city and disease. It blends weather conditions, public search interest and PharmEasy lab positivity.

Is this a diagnosis or medical advice?

No. Fever Watch is a risk indicator only. It is not a diagnosis, not a count of actual cases or mosquitoes, and not a substitute for a doctor. If you feel unwell, consult a clinician.

How is the score calculated?

It is a transparent weighted blend of three signals at different points in the illness pipeline: weather conditions (leading), search interest (coincident) and lab positivity (lagging ground truth). When lab data is present it leads the score, and the breakdown is always shown.

What does forecast-only mean?

Where there is not enough lab data for a city and disease yet, the score is a conditions-based forecast and is held below the HIGH band, so a forecast-only read can never show HIGH. This keeps the read honest.

How often is it updated?

Weather is refreshed daily from NOAA CPC and NASA POWER, search interest weekly, and the lab signal daily. The score for each city is recomputed every day.

Which cities are covered?

Fever Watch currently covers over 200 Indian cities, with more planned. Use the city search to see the read for your city.